1 code implementation • EMNLP 2021 • Xin Liu, Qingcai Chen, Junying Chen, Wenxiu Zhou, Tingyu Liu, Xinlan Yang, Weihua Peng
Integrating knowledge into text is a promising way to enrich text representation, especially in the medical field.
no code implementations • 21 May 2024 • Rong Gao, Xin Liu, Bohao Xing, Zitong Yu, Bjorn W. Schuller, Heikki Kälviäinen
The second is whether micro-gestures, as supplementary data, can provide additional insights for emotional understanding.
no code implementations • 20 May 2024 • Xin Liu, Yaran Chen, Dongbin Zhao
Employing auxiliary tasks allows the agent to enhance visual representation in a targeted manner, thereby improving the sample efficiency and performance of downstream RL.
no code implementations • 14 May 2024 • Hanguang Xiao, Feizhong Zhou, Xingyue Liu, Tianqi Liu, Zhipeng Li, Xin Liu, Xiaoxuan Huang
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have garnered significant attention due to their powerful and general capabilities in understanding, reasoning, and generation, thereby offering new paradigms for the integration of artificial intelligence with medicine.
no code implementations • 14 May 2024 • Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Minh Le Nguyen
Second, information interaction mainly focuses on the two subtasks, leaving the fine-grained informtion interaction among the subtask-specific features of encoding subjects, relations, and objects unexplored.
no code implementations • 13 May 2024 • Xin Liu, Weiqi Wang, Jiaxin Bai, Yangqiu Song
Subgraph isomorphism counting is known as #P-complete and requires exponential time to find the accurate solution.
1 code implementation • 10 May 2024 • Yuxiang Zhang, Xin Liu, Meng Wu, Wei Yan, Mingyu Yan, Xiaochun Ye, Dongrui Fan
In this study, we introduce Disttack, the first framework of adversarial attacks for distributed GNN training that leverages the characteristics of frequent gradient updates in a distributed system.
1 code implementation • 7 May 2024 • DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Dengr, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, JianZhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, T. Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun, Xiaoxiang Wang, Xin Liu, Xin Xie, Xingkai Yu, Xinnan Song, Xinyi Zhou, Xinyu Yang, Xuan Lu, Xuecheng Su, Y. Wu, Y. K. Li, Y. X. Wei, Y. X. Zhu, Yanhong Xu, Yanping Huang, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Li, Yaohui Wang, Yi Zheng, Yichao Zhang, Yiliang Xiong, Yilong Zhao, Ying He, Ying Tang, Yishi Piao, Yixin Dong, Yixuan Tan, Yiyuan Liu, Yongji Wang, Yongqiang Guo, Yuchen Zhu, Yuduan Wang, Yuheng Zou, Yukun Zha, Yunxian Ma, Yuting Yan, Yuxiang You, Yuxuan Liu, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhen Huang, Zhen Zhang, Zhenda Xie, Zhewen Hao, Zhihong Shao, Zhiniu Wen, Zhipeng Xu, Zhongyu Zhang, Zhuoshu Li, Zihan Wang, Zihui Gu, Zilin Li, Ziwei Xie
MLA guarantees efficient inference through significantly compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical cost through sparse computation.
no code implementations • 6 May 2024 • Xin Liu
I propose a quantile-based nonadditive fixed effects panel model to study heterogeneous causal effects.
1 code implementation • 3 May 2024 • Deng Li, Bohao Xing, Xin Liu
In addition, instead of using handcrafted prompts for visual-text contrastive learning, we propose a novel module called Adaptive prompting to generate context-aware prompts.
no code implementations • 1 May 2024 • Deng Li, Xin Liu, Bohao Xing, Baiqiang Xia, Yuan Zong, Bihan Wen, Heikki Kälviäinen
In contrast, long sequential videos can reveal authentic emotions; 2) Previous studies commonly utilize various signals such as facial, speech, and even sensitive biological signals (e. g., electrocardiogram).
no code implementations • 1 May 2024 • Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang
LITO explores a sequence of model generations based on increasing levels of intervention intensities.
2 code implementations • 25 Apr 2024 • Marcos V. Conde, Zhijun Lei, Wen Li, Cosmin Stejerean, Ioannis Katsavounidis, Radu Timofte, Kihwan Yoon, Ganzorig Gankhuyag, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhiyuan Li, Hao Wei, Chenyang Ge, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin, Menghan Zhou, Yiqiang Yan, Si Gao, Biao Wu, Shaoli Liu, Chengjian Zheng, Diankai Zhang, Ning Wang, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Jae-Hyeon Lee, Ui-Jin Choi, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, ZhengJun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Hyeon-Cheol Moon, Tae-hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs.
no code implementations • 21 Apr 2024 • Chunkit Chan, Cheng Jiayang, Yauwai Yim, Zheye Deng, Wei Fan, Haoran Li, Xin Liu, Hongming Zhang, Weiqi Wang, Yangqiu Song
Large Language Models (LLMs) have sparked substantial interest and debate concerning their potential emergence of Theory of Mind (ToM) ability.
no code implementations • 18 Apr 2024 • Chao Jin, Zili Zhang, Xuanlin Jiang, Fangyue Liu, Xin Liu, Xuanzhe Liu, Xin Jin
We implement RAGCache and evaluate it on vLLM, a state-of-the-art LLM inference system and Faiss, a state-of-the-art vector database.
2 code implementations • 16 Apr 2024 • Bin Ren, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, ZhengJun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, YuHan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.
1 code implementation • 14 Apr 2024 • Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Leveraging these modified representations, DEGNN subsequently addresses downstream tasks, ensuring robustness against noise present in both edges and node features of real-world graphs.
no code implementations • 4 Apr 2024 • Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Exemplar-Free Class Incremental Learning is a highly challenging setting where replay memory is unavailable.
1 code implementation • 30 Mar 2024 • Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang
In this work, we propose an initial comprehensive framework called EventGround, which aims to tackle the problem of grounding free-texts to eventuality-centric KGs for contextualized narrative reasoning.
no code implementations • 18 Mar 2024 • Siyuan Zhang, Nachuan Xiao, Xin Liu
Furthermore, we establish that our proposed framework encompasses a wide range of existing efficient decentralized subgradient methods, including decentralized stochastic subgradient descent (DSGD), DSGD with gradient-tracking technique (DSGD-T), and DSGD with momentum (DSGDm).
1 code implementation • 15 Mar 2024 • Chenguang Wang, Ruoxi Jia, Xin Liu, Dawn Song
We show that CLIP leads to a significant robustness drop compared to supervised ImageNet models on our benchmark, especially under synthetic distribution shift and adversarial attacks.
no code implementations • 15 Mar 2024 • Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
We find that in graph anomaly detection, the homophily distribution differences between different classes are significantly greater than those in homophilic and heterophilic graphs.
1 code implementation • 11 Mar 2024 • Qilang Ye, Zitong Yu, Xin Liu
Audio-visual question answering (AVQA) requires reference to video content and auditory information, followed by correlating the question to predict the most precise answer.
Audio-visual Question Answering Audio-Visual Question Answering (AVQA) +3
1 code implementation • 11 Mar 2024 • Yuting Zhang, Hao Lu, Xin Liu, Yingcong Chen, Kaishun Wu
Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computing, and biosecurity recognition.
no code implementations • 11 Mar 2024 • Shaojie Dai, Xin Liu, Ping Luo, Yue Yu
Large language model (LLM) has achieved promising performance in multilingual machine translation tasks through zero/few-shot prompts or prompt-tuning.
no code implementations • 10 Mar 2024 • Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan
It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i. e., graph data augmentation and attack.
1 code implementation • 10 Mar 2024 • Minjie Zhu, Yichen Zhu, Xin Liu, Ning Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Zhicai Ou, Feifei Feng, Jian Tang
Multimodal Large Language Models (MLLMs) have showcased impressive skills in tasks related to visual understanding and reasoning.
Ranked #69 on Visual Question Answering on MM-Vet
1 code implementation • 7 Mar 2024 • Kaishen Yuan, Zitong Yu, Xin Liu, Weicheng Xie, Huanjing Yue, Jingyu Yang
Facial Action Units (AU) is a vital concept in the realm of affective computing, and AU detection has always been a hot research topic.
Ranked #1 on Facial Action Unit Detection on DISFA
no code implementations • 3 Mar 2024 • Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapta, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason Fries, Parisa Rashidi, Brett Beaulieu-Jones, Xuhai Orson Xu, Matthew McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
The organization of the research roundtables at the conference involved 17 Senior Chairs and 19 Junior Chairs across 11 tables.
no code implementations • 1 Mar 2024 • Xin Liu, Jiamin Wu, Tianzhu Zhang
To address this issue, we propose a Multi-modal Attribute Prompting method (MAP) by jointly exploring textual attribute prompting, visual attribute prompting, and attribute-level alignment.
no code implementations • 29 Feb 2024 • Chao Hao, Zitong Yu, Xin Liu, Jun Xu, Huanjing Yue, Jingyu Yang
Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades.
no code implementations • 27 Feb 2024 • Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung, Chao Huang, Xin Liu
Based on this finding, we introduce two regularization terms for local training to continuously emulate IID settings: (1) variance in the dimension-wise probability distribution of the classifier and (2) hyperspherical uniformity of representations of the encoder.
no code implementations • 26 Feb 2024 • Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao
These render reward and cost hard to model thus unknown before decision making.
no code implementations • 26 Feb 2024 • Fujian Jia, Xin Liu, Lixi Deng, Jiwen Gu, Chunchao Pu, Tunan Bai, Mengjiang Huang, Yuanzhi Lu, Kang Liu
The primary aim of this research was to develop a specialized language model that demonstrates improved accuracy in providing advice related to oncology.
no code implementations • 23 Feb 2024 • Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
Training LLMs at this scale brings unprecedented challenges to training efficiency and stability.
no code implementations • 23 Feb 2024 • Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu
We further extend the analysis to non-convex objectives and where some clients may be unavailable during training.
1 code implementation • 22 Feb 2024 • Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward J Wang, Dushyant W Sahani, Shwetak Patel
Such demographic biases present over a wide range of pathologies and demographic attributes.
1 code implementation • 16 Feb 2024 • Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
Abstraction ability is crucial in human intelligence, which can also benefit various tasks in NLP study.
1 code implementation • 1 Feb 2024 • Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao
In this paper, we systematically survey current efforts on the evaluation, attack, and defense of MLLMs' safety on images and text.
no code implementations • 23 Jan 2024 • Yichen Yang, Xin Liu, Kun He
Based on the observation that the adversarial perturbations crafted by single-step and multi-step gradient ascent are similar, FAT uses single-step gradient ascent to craft adversarial examples in the embedding space to expedite the training process.
2 code implementations • 14 Jan 2024 • Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Jiayang Cheng, Chunkit Chan, Yangqiu Song
The sequential process of conceptualization and instantiation is essential to generalizable commonsense reasoning as it allows the application of existing knowledge to unfamiliar scenarios.
1 code implementation • 5 Jan 2024 • DeepSeek-AI, :, Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, JianZhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, A. X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou
The rapid development of open-source large language models (LLMs) has been truly remarkable.
no code implementations • 1 Jan 2024 • Honghao Wei, Xiyue Peng, Xin Liu, Arnob Ghosh
Theoretically, we demonstrate that when the actor employs a no-regret optimization oracle, SATAC achieves two guarantees: (i) For the first time in the offline RL setting, we establish that SATAC can produce a policy that outperforms the behavior policy while maintaining the same level of safety, which is critical to designing an algorithm for offline RL.
no code implementations • 25 Dec 2023 • Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song
Although many applications require the use of knowledge for explanations, the utilization of abductive reasoning in conjunction with structured knowledge, such as a knowledge graph, remains largely unexplored.
1 code implementation • NeurIPS 2023 • Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
The goal of session-based recommendation in E-commerce is to predict the next item that an anonymous user will purchase based on the browsing and purchase history.
no code implementations • 22 Dec 2023 • Honghao Wei, Xin Liu, Lei Ying
This paper studies safe Reinforcement Learning (safe RL) with linear function approximation and under hard instantaneous constraints where unsafe actions must be avoided at each step.
no code implementations • 21 Dec 2023 • Haobo Lu, Xin Liu, Kun He
However, few of them are dedicated to input transformation. In this work, we observe a positive correlation between the logit/probability of the target class and diverse input transformation methods in targeted attacks.
1 code implementation • 29 Nov 2023 • Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao
The security concerns surrounding Large Language Models (LLMs) have been extensively explored, yet the safety of Multimodal Large Language Models (MLLMs) remains understudied.
no code implementations • 21 Nov 2023 • Zachary Englhardt, Chengqian Ma, Margaret E. Morris, Xuhai "Orson" Xu, Chun-Cheng Chang, Lianhui Qin, Daniel McDuff, Xin Liu, Shwetak Patel, Vikram Iyer
Passively collected behavioral health data from ubiquitous sensors holds significant promise to provide mental health professionals insights from patient's daily lives; however, developing analysis tools to use this data in clinical practice requires addressing challenges of generalization across devices and weak or ambiguous correlations between the measured signals and an individual's mental health.
1 code implementation • 21 Nov 2023 • Jiankai Tang, Kegang Wang, Hongming Hu, Xiyuxing Zhang, Peiyu Wang, Xin Liu, Yuntao Wang
Our findings reveal that LLMs exhibit exceptional performance in determining medical indicators, including a Mean Absolute Error (MAE) of less than 1 beat per minute for heart rate and less than 1% for oxygen saturation (SpO2).
1 code implementation • 15 Nov 2023 • Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song
Cognitive research indicates that abstraction ability is essential in human intelligence, which remains under-explored in language models.
1 code implementation • 15 Nov 2023 • Yijie Zhou, Chao Li, Jin Liang, Tianyi Xu, Xin Liu, Jun Xu
The illumination of improperly exposed photographs has been widely corrected using deep convolutional neural networks or Transformers.
1 code implementation • 15 Nov 2023 • Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian
This results in a set of candidate answers.
no code implementations • 9 Nov 2023 • Yuxuan Ou, Yuzhe Zhang, Yuntang Wang, Shwetak Patel, Daniel McDuf, Yuzhe Yang, Xin Liu
However, there exists a significant gap between synthetic and real-world data, which hinders the generalization of neural models trained on these synthetic datasets.
1 code implementation • 7 Nov 2023 • Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yuan YAO, Yangqiu Song
Lastly, PrivLM-Bench performs existing privacy attacks on LMs with pre-defined privacy objectives as the empirical evaluation results.
no code implementations • 1 Nov 2023 • Xiaoyue Wang, Xin Liu, Lijie Wang, Yaoxiang Wang, Jinsong Su, Hua Wu
Then, we pair each sample with a bias indicator representing its bias degree, and use these extended samples to train a sample generator.
1 code implementation • NeurIPS 2023 • Huanjing Yue, Yijia Cheng, Xin Liu, Jingyu Yang
The spatial modulation utilizes the feature with large receptive field to modulate the feature with small receptive field.
1 code implementation • 30 Oct 2023 • Xin Liu, Muhammad Khalifa, Lu Wang
For evaluation, we construct CaT, a benchmark consisting of eight text generation tasks, covering responses ranging from short phrases to paragraphs.
1 code implementation • 18 Oct 2023 • Zheye Deng, Weiqi Wang, Zhaowei Wang, Xin Liu, Yangqiu Song
Commonsense Knowledge Graphs (CSKGs) are crucial for commonsense reasoning, yet constructing them through human annotations can be costly.
1 code implementation • 17 Oct 2023 • Haochen Shi, Weiqi Wang, Tianqing Fang, Baixuan Xu, Wenxuan Ding, Xin Liu, Yangqiu Song
Zero-shot commonsense Question-Answering (QA) requires models to reason about general situations beyond specific benchmarks.
no code implementations • 9 Oct 2023 • Xin Liu, Wei Li, Dazhi Zhan, Yu Pan, Xin Ma, Yu Ding, Zhisong Pan
Federated learning (FL) is a widely employed distributed paradigm for collaboratively training machine learning models from multiple clients without sharing local data.
no code implementations • 5 Oct 2023 • Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
With PassUntil, we conduct a quantitative investigation into the scaling law of task performance.
no code implementations • 29 Sep 2023 • Xin Liu, Yaran Chen, Dongbin Zhao
It contains a novel diversity reward based on contrastive learning to effectively drive agents to discern existing skills, and a particle-based exploration reward to access and learn new behaviors.
1 code implementation • 15 Sep 2023 • Chunkit Chan, Xin Liu, Tsz Ho Chan, Jiayang Cheng, Yangqiu Song, Ginny Wong, Simon See
However, the inter-sentential coherence and the model consistency have not been well exploited in the previous works on this task.
no code implementations • 25 Aug 2023 • Jiali Wang, Yuning Jiang, Xin Liu, Ting Wang, Yuanming Shi
In this context, we propose a customized federated linear bandits scheme, where each device transmits an analog signal, and the server receives a superposition of these signals distorted by channel noise.
1 code implementation • 22 Aug 2023 • Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert
Previous work on long-term video action recognition relies on deep 3D-convolutional models that have a large temporal receptive field (RF).
no code implementations • 17 Aug 2023 • Junkai Qian, Yuning Jiang, Xin Liu, Qing Wang, Ting Wang, Yuanming Shi, Wei Chen
To effectively learn the optimal EV charging control strategy, a federated deep reinforcement learning algorithm named FedSAC is further proposed.
no code implementations • 17 Aug 2023 • Yuanzhi Wang, Yong Li, Xiaoya Zhang, Xin Liu, Anbo Dai, Antoni B. Chan, Zhen Cui
In addition to the utilization of a pretrained T2I 2D Unet for spatial content manipulation, we establish a dedicated temporal Unet architecture to faithfully capture the temporal coherence of the input video sequences.
no code implementations • 16 Aug 2023 • Binhui Liu, Xin Liu, Anbo Dai, Zhiyong Zeng, Dan Wang, Zhen Cui, Jian Yang
In particular, the designed two diffusion streams, video content and motion branches, could not only run separately in their private spaces for producing personalized video variations as well as content, but also be well-aligned between the content and motion domains through leveraging our designed cross-transformer interaction module, which would benefit the smoothness of generated videos.
2 code implementations • 15 Aug 2023 • Xin Liu, Kaishen Yuan, Xuesong Niu, Jingang Shi, Zitong Yu, Huanjing Yue, Jingyu Yang
Anatomically, there are innumerable correlations between AUs, which contain rich information and are vital for AU detection.
Ranked #2 on Facial Action Unit Detection on DISFA
1 code implementation • 9 Aug 2023 • Hongjun Zhu, Shun Yuan, Xin Liu, Kuo Chen, Chaolong Jia, Ying Qian
Existing approaches for information cascade prediction fall into three main categories: feature-driven methods, point process-based methods, and deep learning-based methods.
1 code implementation • ICCV 2023 • Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea
2) Improved efficiency by only doing the expensive feature computations on a small subset of all frames.
Ranked #1 on Video Object Detection on Waymo Open Dataset
1 code implementation • 4 Aug 2023 • Haoyi Xiu, Xin Liu, Weimin WANG, Kyoung-Sook Kim, Masashi Matsuoka
MSECNet consists of a backbone network and a multi-scale edge conditioning (MSEC) stream.
no code implementations • 10 Jul 2023 • Albara Ah Ramli, Xin Liu, Kelly Berndt, Chen-Nee Chuah, Erica Goude, Lynea B. Kaethler, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson
The approach involves a combination of clinical observation, machine-learning-based step detection, and regression-based stride length prediction.
no code implementations • 7 Jul 2023 • Zachary Englhardt, Richard Li, Dilini Nissanka, Zhihan Zhang, Girish Narayanswamy, Joseph Breda, Xin Liu, Shwetak Patel, Vikram Iyer
We leverage this finding to study how human programmers interact with these tools, and develop an human-AI based software engineering workflow for building embedded systems.
no code implementations • 30 Jun 2023 • Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Experiments on the competitive benchmarks CIFAR100, ImageNet-Subset, and ImageNet demonstrate how this new approach can be used to further improve the performance of state-of-the-art methods for class-incremental learning on large scale datasets.
1 code implementation • 4 Jun 2023 • Xin Liu, Yuting Zhang, Zitong Yu, Hao Lu, Huanjing Yue, Jingyu Yang
However, they focus on the contrastive learning between samples, which neglect the inherent self-similar prior in physiological signals and seem to have a limited ability to cope with noisy.
1 code implementation • 2 Jun 2023 • Xiaoyue Wang, Lijie Wang, Xin Liu, Suhang Wu, Jinsong Su, Hua Wu
In this way, the top-layer sentence representation will be trained to ignore the common biased features encoded by the low-layer sentence representation and focus on task-relevant unbiased features.
1 code implementation • NeurIPS 2023 • Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song
Traditional neural complex query answering (CQA) approaches mostly work on entity-centric KGs.
no code implementations • 28 May 2023 • Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya
The long and exploratory nature of the search journey, as well as the need to balance both guest and host preferences, present unique challenges for Airbnb search ranking.
no code implementations • 24 May 2023 • Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak Patel
Large language models (LLMs) can capture rich representations of concepts that are useful for real-world tasks.
1 code implementation • 24 May 2023 • Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut
The task of zero-shot commonsense question answering evaluates models on their capacity to reason about general scenarios beyond those presented in specific datasets.
2 code implementations • 19 May 2023 • Xin Liu, Muhammad Khalifa, Lu Wang
Energy-based models (EBMs) have gained popularity for controlled text generation due to their high applicability to a wide range of constraints.
no code implementations • 19 May 2023 • Qiong Chang, Xiang Li, Xin Xu, Xin Liu, Yun Li, Miyazaki Jun
We present a lightweight system for stereo matching through embedded GPUs.
1 code implementation • 6 May 2023 • Chunkit Chan, Xin Liu, Jiayang Cheng, Zihan Li, Yangqiu Song, Ginny Y. Wong, Simon See
Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to recognize the discourse relations between the arguments with the absence of discourse connectives.
no code implementations • 6 May 2023 • Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh
In this paper, we present a comprehensive study on the convergence properties of Adam-family methods for nonsmooth optimization, especially in the training of nonsmooth neural networks.
no code implementations • 5 May 2023 • Albara Ah Ramli, Xin Liu, Erik K. Henricson
Our system achieves this by 1) enabling early diagnosis, 2) identifying early indicators of clinical severity, and 3) quantifying and tracking the progression of the disease across the ambulatory phase of the disease.
no code implementations • 28 Apr 2023 • Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song
This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large language model, on inter-sentential relations such as temporal relations, causal relations, and discourse relations.
1 code implementation • 28 Apr 2023 • Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
The recent PAC-Bayes IB uses information complexity instead of information compression to establish a connection with the mutual information generalization bound.
no code implementations • 11 Apr 2023 • Zhuo-Xu Cui, Chentao Cao, Yue Wang, Sen Jia, Jing Cheng, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu
To overcome this challenge, we introduce a novel approach called SPIRiT-Diffusion, which is a diffusion model for k-space interpolation inspired by the iterative self-consistent SPIRiT method.
no code implementations • 24 Mar 2023 • Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue, John E. Hopcroft
Besides, we suggest to use the Normalized Mean Square Error (NMSE) to further improve the robustness by aligning the clean and adversarial examples.
no code implementations • 23 Mar 2023 • Trung Pham, Mehran Maghoumi, Wanli Jiang, Bala Siva Sashank Jujjavarapu, Mehdi Sajjadi, Xin Liu, Hsuan-Chu Lin, Bor-Jeng Chen, Giang Truong, Chao Fang, Junghyun Kwon, Minwoo Park
Achieving robust and real-time 3D perception is fundamental for autonomous vehicles.
1 code implementation • 21 Mar 2023 • Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak Patel, Daniel McDuff, Soumyadip Sengupta
Our findings illustrate the usefulness of motion transfer as a data augmentation technique for improving the generalization of models for camera-based physiological sensing.
2 code implementations • 21 Mar 2023 • Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak Patel
As an example, perception occurs at different scales both spatially and temporally, suggesting that the extraction of salient visual information may be made more effective by paying attention to specific features at varying scales.
no code implementations • 16 Mar 2023 • Ziyang Zhang, Liuwei An, Zishun Cui, Ao Xu, Tengteng Dong, Yueqi Jiang, Jingyi Shi, Xin Liu, Xiao Sun, Meng Wang
In this paper, we present our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes four sub-challenges of Valence-Arousal (VA) Estimation, Expression (Expr) Classification, Action Unit (AU) Detection and Emotional Reaction Intensity (ERI) Estimation.
1 code implementation • 13 Mar 2023 • Cong Cao, Huanjing Yue, Xin Liu, Jingyu Yang
We construct a large-scale unpaired HDR-LDR video dataset to facilitate the unsupervised training process for video tone mapping.
no code implementations • 27 Feb 2023 • Wenrui Li, Venkatesh Sridhar, K. Aditya Mohan, Saransh Singh, Jean-Baptiste Forien, Xin Liu, Gregery T. Buzzard, Charles A. Bouman
As computational tools for X-ray computed tomography (CT) become more quantitatively accurate, knowledge of the source-detector spectral response is critical for quantitative system-independent reconstruction and material characterization capabilities.
no code implementations • 11 Feb 2023 • Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao
CRPTpro significantly outperforms the next best Proto-RL(C) on 11/12 cross-domain downstream tasks with only 54\% wall-clock pre-training time, exhibiting state-of-the-art pre-training performance with greatly improved pre-training efficiency.
no code implementations • 11 Feb 2023 • Zitong Yu, Rizhao Cai, Yawen Cui, Xin Liu, Yongjian Hu, Alex Kot
In this paper, we investigate three key factors (i. e., inputs, pre-training, and finetuning) in ViT for multimodal FAS with RGB, Infrared (IR), and Depth.
2 code implementations • 8 Feb 2023 • Jiankai Tang, Kequan Chen, Yuntao Wang, Yuanchun Shi, Shwetak Patel, Daniel McDuff, Xin Liu
Second, most datasets are relatively small and therefore are limited in diversity, both in appearance (e. g., skin tone), behaviors (e. g., motion) and environment (e. g., lighting conditions).
no code implementations • 5 Feb 2023 • Xin Liu, Zixian Yang, Lei Ying
This subroutine also achieves the state-of-the-art regret and constraint violation bounds for constrained online convex optimization problems, which is of independent interest.
1 code implementation • CAAI Transactions on Intelligence Technology 2023 • Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Graphs help to define the relationships between entities in the data.
Ranked #1 on Node Classification on twitch-gamers
1 code implementation • CVPR 2023 • Xin Liu, Jufeng Yang
In the end, we develop a Neighbor Consistency Mining Network (NCMNet) for accurately recovering camera poses and identifying inliers.
no code implementations • ICCV 2023 • Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu
In this paper, we propose a Cross-modal Contextualized Sequence Transduction (C2ST) for CSLR, which effectively incorporates the knowledge of gloss sequence into the process of video representation learning and sequence transduction.
no code implementations • 13 Dec 2022 • Xin Liu, Honghao Wei, Lei Ying
The proposed algorithm is distributed in two aspects: (i) the learned policy is a distributed policy that maps a local state of an agent to its local action and (ii) the learning/training is distributed, during which each agent updates its policy based on its own and neighbors' information.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 6 Dec 2022 • Shahbaz Rezaei, Xin Liu
We argue that current membership inference attacks can identify memorized subpopulations, but they cannot reliably identify which exact sample in the subpopulation was used during the training.
no code implementations • 1 Dec 2022 • Qiong Chang, Aolong Zha, Weimin WANG, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama
By combining this technique with the domain transformation (DT) algorithm, our system show real-time processing speed of 32 fps, on a Jetson Tx2 GPU for 1, 280x384 pixel images with a maximum disparity of 128.
no code implementations • 27 Nov 2022 • Hengquan Guo, Qi Zhu, Xin Liu
This paper studies the problem of stochastic continuum-armed bandit with constraints (SCBwC), where we optimize a black-box reward function $f(x)$ subject to a black-box constraint function $g(x)\leq 0$ over a continuous space $\mathcal X$.
1 code implementation • 24 Nov 2022 • Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu
In this paper, we propose FedTune, an automatic FL hyper-parameter tuning algorithm tailored to applications' diverse system requirements in FL training.
1 code implementation • 15 Nov 2022 • Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
Understanding users' intentions in e-commerce platforms requires commonsense knowledge.
no code implementations • 15 Nov 2022 • Shuqi Ke, Chao Huang, Xin Liu
Federated Learning (FL) is a distributed machine learning paradigm where clients collaboratively train a model using their local (human-generated) datasets.
no code implementations • 11 Nov 2022 • Xiaoyue Wang, Linfeng Song, Xin Liu, Chulun Zhou, Jinsong Su
Simile recognition involves two subtasks: simile sentence classification that discriminates whether a sentence contains simile, and simile component extraction that locates the corresponding objects (i. e., tenors and vehicles).
1 code implementation • 7 Nov 2022 • Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
However, the performance of the hyperbolic KG embedding models for non-transitive relations is still unpromising, while the complex hyperbolic embeddings do not deal with multi-relations.
1 code implementation • 4 Nov 2022 • Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret E. Morris, Eve Riskin, Jennifer Mankoff, Anind K. Dey
We envision our multi-year datasets can support the ML community in developing generalizable longitudinal behavior modeling algorithms.
no code implementations • 3 Nov 2022 • Lei Fu, Huanle Zhang, Ge Gao, Mi Zhang, Xin Liu
As a privacy-preserving paradigm for training Machine Learning (ML) models, Federated Learning (FL) has received tremendous attention from both industry and academia.
no code implementations • 24 Oct 2022 • Xiaoxiao Wang, Nader Bouacida, Xueying Guo, Xin Liu
In this paper, we propose and study opportunistic reinforcement learning - a new variant of reinforcement learning problems where the regret of selecting a suboptimal action varies under an external environmental condition known as the variation factor.
no code implementations • 24 Oct 2022 • Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
Explainability plays an increasingly important role in machine learning.
1 code implementation • 20 Oct 2022 • Xin Liu, Zhongdao Wang, YaLi Li, Shengjin Wang
To cope with this issue, we propose Maximum Entropy Coding (MEC), a more principled objective that explicitly optimizes on the structure of the representation, so that the learned representation is less biased and thus generalizes better to unseen downstream tasks.
1 code implementation • 19 Oct 2022 • Xin Liu, Xiaofei Shao, Bo wang, YaLi Li, Shengjin Wang
First, unlike previous methods, we leverage convolution neural networks as well as graph neural networks in a complementary way for geometric representation learning.
1 code implementation • CIKM 2022 • Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
With extensive experiments, we show that our proposed model outperforms the state-of-the-art GNN models with remarkable improvements up to 27. 8%.
no code implementations • 14 Oct 2022 • Ziqi Gao, Yuntao Wang, Jianguo Chen, Junliang Xing, Shwetak Patel, Xin Liu, Yuanchun Shi
The efficiency evaluation on an edge device showed that MMTSA achieved significantly better accuracy, lower computational load, and lower inference latency than SOTA methods.
1 code implementation • 6 Oct 2022 • Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff
From human physiology to environmental evolution, important processes in nature often exhibit meaningful and strong periodic or quasi-periodic changes.
1 code implementation • 6 Oct 2022 • Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
In this paper, we present ByteTransformer, a high-performance transformer boosted for variable-length inputs.
1 code implementation • NeurIPS 2023 • Xin Liu, Girish Narayanswamy, Akshay Paruchuri, XiaoYu Zhang, Jiankai Tang, Yuzhe Zhang, Soumyadip Sengupta, Shwetak Patel, Yuntao Wang, Daniel McDuff
Camera-based physiological measurement is a fast growing field of computer vision.
1 code implementation • 23 Sep 2022 • Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
The idea is to supplement the GNN-based main supervised recommendation task with the temporal representation via an auxiliary cross-view contrastive learning mechanism.
1 code implementation • 20 Sep 2022 • Haoyi Xiu, Xin Liu, Weimin WANG, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Second, we experimentally observe and verify the edge enhancement and suppression behavior.
Ranked #3 on 3D Part Segmentation on ShapeNet-Part
no code implementations • 2 Sep 2022 • Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan
Thereby, we propose to drop redundancy and improve efficiency of training large-scale graphs with GNNs, by rethinking the inherent characteristics in a graph.
no code implementations • 29 Aug 2022 • Lei Wang, Xin Liu
Decentralized optimization with orthogonality constraints is found widely in scientific computing and data science.
no code implementations • 13 Aug 2022 • Kaiguang Yang, Yeping Wang, Qianhao Luo, Xin Liu, Weiling Li
Occupational pneumoconiosis (OP) staging is a vital task concerning the lung healthy of a subject.
no code implementations • 8 Aug 2022 • Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan
Due to its simplicity and efficiency, the first-order gradient method has been extensively employed in training neural networks.
no code implementations • 18 Jul 2022 • Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi
These brain-inspired AI models have been effectively validated on various supervised, unsupervised, and reinforcement learning tasks, and they can be used to enable AI models to be with multiple brain-inspired cognitive functions.
no code implementations • 11 Jul 2022 • Hongjian Fang, Yi Zeng, Jianbo Tang, Yuwei Wang, Yao Liang, Xin Liu
For the fields of neuroscience and cognitive science, the work in this paper provided the foundation of computational modeling for further exploration of the way the human brain represents commonsense knowledge.
no code implementations • 4 Jul 2022 • Haoyi Xiu, Xin Liu, Weimin WANG, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Modeling the local surface geometry is challenging in 3D point cloud understanding due to the lack of connectivity information.
no code implementations • 4 Jul 2022 • Haoyi Xiu, Xin Liu, Weimin WANG, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Learning point clouds is challenging due to the lack of connectivity information, i. e., edges.
no code implementations • 26 Jun 2022 • Chao Huang, Jianwei Huang, Xin Liu
Federated learning (FL) is an emerging technology that enables the training of machine learning models from multiple clients while keeping the data distributed and private.
no code implementations • 20 Jun 2022 • Xin Ma, Renyi Bao, Jinpeng Jiang, Yang Liu, Arthur Jiang, Jun Yan, Xin Liu, Zhisong Pan
In this work, we propose FedSSO, a server-side second-order optimization method for federated learning (FL).
1 code implementation • 17 Jun 2022 • Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang
We extend graph kernels and graph neural networks with dummy nodes and conduct experiments on graph classification and subgraph isomorphism matching tasks.
1 code implementation • 14 Jun 2022 • Yuhang Chen, Liyuan Li, Xin Liu, Xiaofeng Su, Fansheng Chen
First, with the use of UNet as the backbone to maintain resolution and semantic information, our model can achieve a higher detection accuracy than other state-of-the-art methods by attaching a simple anchor-free head.
2 code implementations • 8 Jun 2022 • Daniel McDuff, Miah Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis
The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e. g., cardiac and pulmonary) vital signs is very attractive.
no code implementations • 26 May 2022 • Zixian Yang, Xin Liu, Lei Ying
To understand the exploration, exploitation, and engagement in these systems, we propose a new model, called MAB-A where "A" stands for abandonment and the abandonment probability depends on the current recommended item and the user's past experience (called state).
no code implementations • 11 May 2022 • Wei Liu, Xin Liu, Xiaojun Chen
Moreover, we show the relationship between the new model and the original problem.
no code implementations • 23 Apr 2022 • Jie Yan, Xin Liu, Ji Qi, Tao You, Zhong-Yuan Zhang
Clustering ensemble has an impressive performance in improving the accuracy and robustness of partition results and has received much attention in recent years.
2 code implementations • 20 Apr 2022 • Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, WangMeng Zuo, Pavel Ostyakov, Vyal Dmitry, Shakarim Soltanayev, Chervontsev Sergey, Zhussip Magauiya, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
This challenge includes three tracks.
no code implementations • 18 Apr 2022 • Xin Liu, Wei Tao, Zhisong Pan
To the best of our knowledge, this is the first theoretical guarantee for the convergence of NAG to the global minimum in training deep neural networks.
no code implementations • 23 Mar 2022 • Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro Hirofuchi
Specifically, we evaluated the model performance of representative homogeneous GNN models which consider single-type nodes and edges and heterogeneous GNN models which support different types of nodes and edges.
no code implementations • 11 Mar 2022 • Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak Patel, Daniel McDuff
The growing need for technology that supports remote healthcare is being acutely highlighted by an aging population and the COVID-19 pandemic.
no code implementations • 4 Mar 2022 • Guoyao Li, Shahbaz Rezaei, Xin Liu
In this paper, we develop a user-level MI attack where the goal is to find if any sample from the target user has been used during training even when no exact training sample is available to the attacker.
no code implementations • 4 Mar 2022 • Shahbaz Rezaei, Xin Liu
The intuition is that the model response should not be significantly different between the target sample and its subpopulation if it was not a training sample.
no code implementations • 1 Mar 2022 • Haoyi Xiu, Xin Liu, Weimin WANG, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
We present a simple but effective attention named the unary-pairwise attention (UPA) for modeling the relationship between 3D point clouds.
no code implementations • 22 Feb 2022 • Yizhou Yang, Xin Liu
Penetration Testing plays a critical role in evaluating the security of a target network by emulating real active adversaries.
Multi-Objective Reinforcement Learning reinforcement-learning
no code implementations • 10 Feb 2022 • Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
Next, we provide comparisons from aspects of the efficiency and characteristics of these methods.
no code implementations • 11 Jan 2022 • Xin Liu, Yuntao Wang, Sinan Xie, XiaoYu Zhang, Zixian Ma, Daniel McDuff, Shwetak Patel
Camera-based contactless photoplethysmography refers to a set of popular techniques for contactless physiological measurement.
no code implementations • 30 Dec 2021 • Lei Wang, Xin Liu
In this paper, we focus on the decentralized optimization problem over the Stiefel manifold, which is defined on a connected network of $d$ agents.
1 code implementation • 20 Dec 2021 • Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu
Detailed analysis on symptom inquiry prediction demonstrates that the potential of applying symptoms sequence generation for automatic diagnosis.
1 code implementation • 16 Dec 2021 • Xin Liu, Yangqiu Song
Based on this observation, we propose dual message passing neural networks (DMPNNs) to enhance the substructure representation learning in an asynchronous way for subgraph isomorphism counting and matching as well as unsupervised node classification.
1 code implementation • 15 Dec 2021 • Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su
Generative commonsense reasoning requires machines to generate sentences describing an everyday scenario given several concepts, which has attracted much attention recently.
2 code implementations • ECCV 2020 • Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li
RDIM and region fitting do not require extra running time and these three steps can be well integrated into other attacks.
1 code implementation • 11 Dec 2021 • Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
Different from the popular recurrent modeling approach, we propose a new solution named LeapRec to the temporal dynamic problem by using trajectory-based meta-learning to model time dependencies.
1 code implementation • 8 Dec 2021 • Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification.
1 code implementation • 24 Nov 2021 • Zezheng Wang, Zitong Yu, Xun Wang, Yunxiao Qin, Jiahong Li, Chenxu Zhao, Zhen Lei, Xin Liu, Size Li, Zhongyuan Wang
Face anti-spoofing (FAS) plays a crucial role in securing face recognition systems.
no code implementations • 16 Nov 2021 • Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu
Network slicing is proposed as a promising solution for resource utilization in 5G and future networks to address this dire need.
1 code implementation • 12 Nov 2021 • Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
In this work, we decouple the node feature aggregation step and depth of graph neural network, and empirically analyze how different aggregated features play a role in prediction performance.
no code implementations • 26 Oct 2021 • Xin Liu, Shwetak Patel, Daniel McDuff
Numerous real-world applications have been driven by the recent algorithmic advancement of artificial intelligence (AI).
no code implementations • journal 2021 • Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata
With the advent of brain imaging techniques and machine learning tools, much effort has been devoted to building computational models to capture the encoding of visual information in the human brain.
no code implementations • 10 Oct 2021 • Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood, Tadas Baltrusaitis
We present systematic experiments showing how physiologically-grounded synthetic data can be used in training camera-based multi-parameter cardiopulmonary sensing.
no code implementations • 9 Oct 2021 • Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff
Camera-based physiological measurement is a growing field with neural models providing state-the-art-performance.
Face Detection Photoplethysmography (PPG) heart rate estimation
no code implementations • 7 Oct 2021 • Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao
The past decade witnesses a rapid development in the measurement and monitoring technologies for food science.
no code implementations • 7 Oct 2021 • Brian L. Hill, Xin Liu, Daniel McDuff
Recent developments in camera-based vital sign measurement have shown that cardiac measurements can be recovered with impressive accuracy from videos; however, most of the research has focused on extracting summary statistics such as heart rate.
1 code implementation • 6 Oct 2021 • Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia
Federated learning (FL) hyper-parameters significantly affect the training overheads in terms of computation time, transmission time, computation load, and transmission load.
1 code implementation • CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 • Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
Forecasting incident occurrences (e. g. crime, EMS, traffic accident) is a crucial task for emergency service providers and transportation agencies in performing response time optimization and dynamic fleet management.
no code implementations • 29 Sep 2021 • Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia
Federated Learning (FL) is a distributed model training paradigm that preserves clients' data privacy.
no code implementations • 29 Sep 2021 • Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff
Camera-based physiological measurement is a growing field with neural models providing state-the-art-performance.
1 code implementation • Findings (EMNLP) 2021 • Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
To address this challenge, we propose dictionary-based heterogeneous graph neural network (DHGNet) that effectively handles the heterogeneity of DHG by two-step aggregations, which are word-level and language-level aggregations.
1 code implementation • 26 Aug 2021 • Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, WenMing Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan
Extensive experiments show that our method is universal to mainstream sampling algorithms and helps significantly reduce the training time, especially in large-scale graphs.
1 code implementation • 17 Aug 2021 • Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr Kindratenko
We find a 1$\sigma$ scatter of 0. 37 dex between the predicted SMBH mass and the fiducial virial mass estimate based on SDSS single-epoch spectra, which is comparable to the systematic uncertainty in the virial mass estimate.
1 code implementation • LREC 2022 • Yinhe Zheng, Guanyi Chen, Xin Liu, Jian Sun
To better investigate this issue, we manually annotate 100K dialogues from MMChat and further filter the corpus accordingly, which yields MMChat-hf.
no code implementations • 5 Jul 2021 • Xin Liu, Zhisong Pan, Wei Tao
Despite the fact that the objective function is non-convex and non-smooth, we show that NAG converges to a global minimum at a non-asymptotic linear rate $(1-\Theta(1/\sqrt{\kappa}))^t$, where $\kappa > 1$ is the condition number of a gram matrix and $t$ is the number of the iterations.
1 code implementation • CVPR 2021 • Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhaoz?
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE).
no code implementations • 28 Jun 2021 • Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams
In this paper, we target a new healthcare application of human activity recognition, early mobility recognition for Intensive Care Unit(ICU) patients.
no code implementations • ACL 2021 • Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su
A well-known limitation in pretrain-finetune paradigm lies in its inflexibility caused by the one-size-fits-all vocabulary.
1 code implementation • ACL 2021 • Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu, Lisai Zhang
In this study, we define the spectral graph convolutional network with the high-order dynamic Chebyshev approximation (HDGCN), which augments the multi-hop graph reasoning by fusing messages aggregated from direct and long-term dependencies into one convolutional layer.
no code implementations • 3 Jun 2021 • Honghao Wei, Xin Liu, Lei Ying
This paper presents the first model-free, simulator-free reinforcement learning algorithm for Constrained Markov Decision Processes (CMDPs) with sublinear regret and zero constraint violation.
1 code implementation • ACL 2021 • Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang
Discourse relations among arguments reveal logical structures of a debate conversation.
1 code implementation • 17 May 2021 • Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Combining these techniques, we present a simple and shallow model, Feature Selection Graph Neural Network (FSGNN), and show empirically that the proposed model outperforms other state of the art GNN models and achieves up to 64% improvements in accuracy on node classification tasks.
Ranked #2 on Node Classification on Cornell
1 code implementation • 15 May 2021 • Xin Liu, Xingzhi Wang, Yiu-ming Cheung
To tackle these issues, we formulate the learning of similarity-preserving hash codes in terms of orthogonally rotating the semantic data so as to minimize the quantization loss of mapping such data to hamming space, and propose an efficient Fast Discriminative Discrete Hashing (FDDH) approach for large-scale cross-modal retrieval.
1 code implementation • 12 May 2021 • Shahbaz Rezaei, Zubair Shafiq, Xin Liu
We analyze the impact of various factors in deep ensembles and demonstrate the root cause of the trade-off.
no code implementations • 12 May 2021 • Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, Rex Liu, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Huanle Zhang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson
We extracted temporospatial gait clinical features (CFs) and applied multiple machine learning (ML) approaches to differentiate between DMD and TD children using extracted temporospatial gait CFs and raw data.
no code implementations • 28 Apr 2021 • Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu
%on how to exploit strong convexity to further improve the convergence rate of AdaBelief.
1 code implementation • CVPR 2021 • Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang
A practical long-term tracker typically contains three key properties, i. e. an efficient model design, an effective global re-detection strategy and a robust distractor awareness mechanism.
no code implementations • 21 Apr 2021 • Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4. 0 on the edge computing level.
1 code implementation • 5 Apr 2021 • Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song
After conceptualization with Probase, a selectional preference based concept-instance relational knowledge base, our concept graph contains 15 million conceptualized eventualities and 224 million edges between them.
1 code implementation • CVPR 2021 • Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang
RD performs in a meta-learning way to obtain a learning ability to filter the distractors from the background while RM aims to effectively integrate the proposed RD into the Siamese framework to generate accurate tracking result.
1 code implementation • 2021 IEEE 37th International Conference on Data Engineering (ICDE) 2021 • Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
Forecasting regional ambulance demand plays a fundamental part in dynamic fleet allocation and redeployment.
no code implementations • 29 Mar 2021 • Rex Liu, Albara Ah Ramli, Huanle Zhang, Erik Henricson, Xin Liu
With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains such as security and surveillance, human-robot interaction, and entertainment.
1 code implementation • CVPR 2021 • Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert
A common heuristic is uniformly sampling a small number of video frames and using these to recognize the action.
no code implementations • 23 Mar 2021 • Quentin Jodelet, Xin Liu, Tsuyoshi Murata
When incrementally trained on new classes, deep neural networks are subject to catastrophic forgetting which leads to an extreme deterioration of their performance on the old classes while learning the new ones.
no code implementations • 10 Mar 2021 • Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan
Graph Convolutional Networks (GCNs) have received significant attention from various research fields due to the excellent performance in learning graph representations.
1 code implementation • 9 Mar 2021 • Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang
The nonlinear manifold is designed to characterize the temporal correlation of dynamic signals.
no code implementations • 2 Mar 2021 • Xun-Jiang Luo, Xiao-Hong Pan, Xin Liu
High-order topological phases host robust boundary states at the boundary of the boundary, which can be interpreted from their boundary topology.
Superconductivity Mesoscale and Nanoscale Physics Materials Science
no code implementations • 1 Mar 2021 • Yi Wei, Xue Mei, Xin Liu, Pengxiang Xu
In this paper, we propose a Data Selection and joint Training (DST) method to automatically select training samples with accurate annotations.