1 code implementation • Findings (NAACL) 2022 • Xiang Chen, Ningyu Zhang, Lei LI, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
Multimodal named entity recognition and relation extraction (MNER and MRE) is a fundamental and crucial branch in information extraction.
no code implementations • 24 Apr 2024 • Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian McAuley, Shuai Li
Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive reasoning abilities of Large Language Models (LLMs).
3 code implementations • 22 Apr 2024 • Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, sabarinathan, K Uma, A Sasithradevi, B Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S M A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results.
1 code implementation • 6 Apr 2024 • Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan
However, inaccurate alignment usually leads to aligned features with significant artifacts, which will be accumulated during propagation and thus affect video restoration.
1 code implementation • 2 Apr 2024 • Xiang Chen, Jinshan Pan, Jiangxin Dong
To better explore the common degradation representations from spatially-varying rain streaks, we incorporate intra-scale implicit neural representations based on pixel coordinates with the degraded inputs in a closed-loop design, enabling the learned features to facilitate rain removal and improve the robustness of the model in complex scenarios.
no code implementations • 24 Mar 2024 • Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
Our experimental results demonstrate the superior performance of the MC Ensemble strategy in OOD detection compared to both the naive Deep Ensemble method and a standalone model of comparable size.
no code implementations • 5 Mar 2024 • Zheng Li, Xiang Chen, Xiaojun Wan
Subsequently, we evaluate several representative large language models on the WikiTableEdit dataset to demonstrate the challenge of this task.
no code implementations • 4 Mar 2024 • Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai
To generate images with realistic hands, we propose a novel diffusion-based architecture called HanDiffuser that achieves realism by injecting hand embeddings in the generative process.
no code implementations • 29 Feb 2024 • Xiang Chen, Wenjie Zhu, Jiayuan Chen, Tong Zhang, Changyan Yi, Jun Cai
This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices.
no code implementations • 26 Feb 2024 • Xiang Chen, Faqiang Wang, Jun Liu, Li Cui
The algorithm (1) converges to the true solution of UOT, (2) has theoretical guarantees and robust regularization parameter selection, (3) mitigates numerical stability issues, and (4) can achieve comparable computational complexity to the Scaling algorithm in specific practice.
no code implementations • 22 Feb 2024 • Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen
The model learns to reduce the input context using On-Policy Reinforcement Learning and aims to improve the reasoning performance of a fixed LLM.
3 code implementations • 8 Feb 2024 • Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen
In this survey, we carefully review over 300 articles, focusing on KG-aware research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.
1 code implementation • 8 Feb 2024 • Wenhui Chang, Hongming Chen, Xin He, Xiang Chen, Liangduo Shen
Raindrops adhering to the lens of UAVs can obstruct visibility of the background scene and degrade image quality.
1 code implementation • 5 Feb 2024 • Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
Despite significant strides in multimodal tasks, Multimodal Large Language Models (MLLMs) are plagued by the critical issue of hallucination.
no code implementations • 29 Jan 2024 • Jasmine Chiat Ling Ong, Liyuan Jin, Kabilan Elangovan, Gilbert Yong San Lim, Daniel Yan Zheng Lim, Gerald Gui Ren Sng, Yuhe Ke, Joshua Yi Min Tung, Ryan Jian Zhong, Christopher Ming Yao Koh, Keane Zhi Hao Lee, Xiang Chen, Jack Kian Chng, Aung Than, Ken Junyang Goh, Daniel Shu Wei Ting
Conclusions This study established that a RAG-LLM based CDSS significantly boosts the accuracy of medication error identification when used alongside junior pharmacists (co-pilot), with notable improvements in detecting severe DRPs.
no code implementations • 18 Jan 2024 • Hang Zhang, Xiang Chen, Rongguang Wang, Renjiu Hu, Dongdong Liu, Gaolei Li
In medical imaging, scans often reveal objects with varied contrasts but consistent internal intensities or textures.
no code implementations • 15 Dec 2023 • Jiapeng Xu, Xiang Chen, Ying Tan, Kemin Zhou
This paper proposes a novel multi-objective control framework for linear time-invariant systems in which performance and robustness can be achieved in a complementary way instead of trade-off.
1 code implementation • 15 Dec 2023 • Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang
We introduce RJUA-QA, a novel medical dataset for question answering (QA) and reasoning with clinical evidence, contributing to bridge the gap between general large language models (LLMs) and medical-specific LLM applications.
1 code implementation • 1 Dec 2023 • Weisong Sun, Chunrong Fang, Yun Miao, Yudu You, Mengzhe Yuan, Yuchen Chen, Quanjun Zhang, An Guo, Xiang Chen, Yang Liu, Zhenyu Chen
To do so, we compare the performance of models trained with code token sequence (Token for short) based code representation and AST-based code representation on three popular types of code-related tasks.
no code implementations • 29 Nov 2023 • Chenhui Xu, Fuxun Yu, Zirui Xu, ChenChen Liu, JinJun Xiong, Xiang Chen
Recent progress in computer vision-oriented neural network designs is mostly driven by capturing high-order neural interactions among inputs and features.
Hardware Aware Neural Architecture Search Neural Architecture Search
1 code implementation • 27 Nov 2023 • Xiang Chen, Min Liu, Rongguang Wang, Renjiu Hu, Dongdong Liu, Gaolei Li, Hang Zhang
Medical images are often characterized by their structured anatomical representations and spatially inhomogeneous contrasts.
Ranked #2 on Image Registration on Unpaired-abdomen-CT (using extra training data)
no code implementations • 21 Nov 2023 • Ziqi Yu, Botao Zhao, Shengjie Zhang, Xiang Chen, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
To address these issues, we introduce hierarchical granularity discrimination, which exploits various levels of semantic information present in medical images.
no code implementations • 8 Nov 2023 • Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao
Therefore, we propose a new learning setting \textit{Decentralized Personalized Online Federated Learning} that considers all the three aspects at the same time.
no code implementations • 26 Oct 2023 • Xiang Chen, Zhiheng Guo, Xijun Wang, Howard H. Yang, Chenyuan Feng, Junshen Su, Sihui Zheng, Tony Q. S. Quek
Future wireless communication networks are in a position to move beyond data-centric, device-oriented connectivity and offer intelligent, immersive experiences based on task-oriented connections, especially in the context of the thriving development of pre-trained foundation models (PFM) and the evolving vision of 6G native artificial intelligence (AI).
no code implementations • 25 Oct 2023 • Xiang Chen, Xiaojun Wan
Advancements in natural language generation (NLG) and large language models (LLMs) have led to proficient text generation in various tasks.
no code implementations • 20 Oct 2023 • Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
It formulates the entire action space as a decision tree, where each node represents a possible API function call involved in a solution plan.
1 code implementation • 18 Oct 2023 • Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Jiang Yong, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen
Despite their impressive generative capabilities, LLMs are hindered by fact-conflicting hallucinations in real-world applications.
1 code implementation • 8 Oct 2023 • Xiang Chen, Zheng Li, Xiaojun Wan
In this paper, we study the problem of controlled text editing by natural language instruction.
no code implementations • 5 Oct 2023 • Xiang Chen, Jinshan Pan, Jiangxin Dong, Jinhui Tang
In this paper, we provide a comprehensive review of existing image deraining method and provide a unify evaluation setting to evaluate the performance of image deraining methods.
no code implementations • 14 Sep 2023 • Lei Zhang, Zhengkun Tian, Xiang Chen, Jiaming Sun, Hongyu Xiang, Ke Ding, Guanglu Wan
To address this issue, we draw inspiration from the multifaceted capabilities of LLMs and Whisper, and focus on integrating multiple ASR text processing tasks related to speech recognition into the ASR model.
no code implementations • 6 Jun 2023 • Xiang Chen, Zhao Song, Baocheng Sun, Junze Yin, Danyang Zhuo
Many machine learning algorithms require large numbers of labeled data to deliver state-of-the-art results.
1 code implementation • 5 Jun 2023 • Hang Zhang, Renjiu Hu, Xiang Chen, Rongguang Wang, Jinwei Zhang, Jiahao Li
Specifically, the network incorporating DAGrid has realized a 70. 8% reduction in network parameter size and a 96. 8% decrease in FLOPs, while concurrently improving the Dice score for skin lesion segmentation by 1. 0% compared to state-of-the-art transformers.
1 code implementation • 30 May 2023 • Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
Most existing methods for learning from noisy labels use static input features for denoising, but these methods are limited by the information they can provide on true label distributions and can result in biased or incorrect predictions.
no code implementations • 30 May 2023 • Zhiheng Guo, Yuanzhang Xiao, Xiang Chen
In this paper, an unsupervised deep learning framework based on dual-path model-driven variational auto-encoders (VAE) is proposed for angle-of-arrivals (AoAs) and channel estimation in massive MIMO systems.
no code implementations • 30 May 2023 • Yanan Zhang, Weijie Cui, Yangfan Zhang, Xiaoling Bai, Zhe Zhang, Jin Ma, Xiang Chen, Tianhua Zhou
In search engines, query expansion (QE) is a crucial technique to improve search experience.
1 code implementation • 15 May 2023 • Xiang Chen, Ningyu Zhang, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Xi Chen, Yongheng Wang, Huajun Chen
Multimodal Knowledge Graph Construction (MKGC) involves creating structured representations of entities and relations using multiple modalities, such as text and images.
1 code implementation • 11 Apr 2023 • Xingwu Ji, Peilin Liu, Haochen Niu, Xiang Chen, Rendong Ying, Fei Wen
Then, we propose a graph matching approach to select correspondence objects based on the structure layout and semantic property similarity of vertices' neighbors.
no code implementations • 31 Mar 2023 • Jiapeng Xu, Ying Tan, Xiang Chen
This paper presents a controller design and optimization framework for nonlinear dynamic systems to track a given reference signal in the presence of disturbances when the task is repeated over a finite-time interval.
1 code implementation • CVPR 2023 • Xiang Chen, Hao Li, Mingqiang Li, Jinshan Pan
To overcome this problem, we propose an effective DeRaining network, Sparse Transformer (DRSformer) that can adaptively keep the most useful self-attention values for feature aggregation so that the aggregated features better facilitate high-quality image reconstruction.
no code implementations • 28 Feb 2023 • Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang
In this paper, we propose a cross-domain recommendation method: Self-supervised Interest Transfer Network (SITN), which can effectively transfer invariant knowledge between domains via prototypical contrastive learning.
1 code implementation • 17 Feb 2023 • Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan
To tackle the challenge, we propose a binary embedding-based retrieval (BEBR) engine equipped with a recurrent binarization algorithm that enables customized bits per dimension.
2 code implementations • 25 Jan 2023 • Xiang Chen, Lei LI, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen
Previous typical solutions mainly obtain a NER model by pre-trained language models (PLMs) with data from a rich-resource domain and adapt it to the target domain.
2 code implementations • 19 Dec 2022 • Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen
Reasoning, as an essential ability for complex problem-solving, can provide back-end support for various real-world applications, such as medical diagnosis, negotiation, etc.
no code implementations • 29 Nov 2022 • Tong Zhang, Ying Tan, Xiang Chen, Zike Lei
The key design idea for this observer is to estimate the visible set and identify the mis-identified features from the measurements.
1 code implementation • 24 Nov 2022 • Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi
In such scenarios, enforcing smooth, globally continuous deformation fields leads to incorrect/implausible registration results.
2 code implementations • 14 Nov 2022 • Lei LI, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang
Multimodal relation extraction is an essential task for knowledge graph construction.
no code implementations • 2 Nov 2022 • Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou
To the best of our knowledge, it is currently the largest manually-annotated Chinese dataset for open event extraction.
no code implementations • 27 Oct 2022 • Zhicheng Zhang, Zhiqiang Zuo, Xiang Chen, Ying Tan, Yijing Wang
The output regulation scheme is utilized in the framework to track the reference in the presence of modeled disturbance, and the effect of unmodeled disturbance is reduced by an $\mathcal{H}_\infty$ compensator.
1 code implementation • 26 Oct 2022 • Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
We study the problem of extracting N-ary relation tuples from scientific articles.
2 code implementations • 19 Oct 2022 • Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen, Huajun Chen
This paper presents an empirical study to build relation extraction systems in low-resource settings.
1 code implementation • 19 Oct 2022 • Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen
With the development of pre-trained language models, many prompt-based approaches to data-efficient knowledge graph construction have been proposed and achieved impressive performance.
2 code implementations • 1 Oct 2022 • Ningyu Zhang, Lei LI, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen
Analogical reasoning is fundamental to human cognition and holds an important place in various fields.
no code implementations • 30 Sep 2022 • Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
Based on this measure, we also design a computation-efficient client sampling strategy, such that the actively selected clients will generate a more class-balanced grouped dataset with theoretical guarantees.
no code implementations • 4 Aug 2022 • Ping Xu, Yue Wang, Xiang Chen, Zhi Tian
We then propose a novel learning framework named Online Decentralized Kernel learning via Linearized ADMM (ODKLA) to efficiently solve the online decentralized kernel learning problem.
1 code implementation • 20 Jun 2022 • Tian Li, Xiang Chen, Zhen Dong, Weijiang Yu, Yijun Yan, Kurt Keutzer, Shanghang Zhang
Then during training, DASK injects pivot-related knowledge graph information into source domain texts.
2 code implementations • 29 May 2022 • Xiang Chen, Lei LI, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
Specifically, vanilla prompt learning may struggle to utilize atypical instances by rote during fully-supervised training or overfit shallow patterns with low-shot data.
1 code implementation • 7 May 2022 • Xiang Chen, Ningyu Zhang, Lei LI, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
To deal with these issues, we propose a novel Hierarchical Visual Prefix fusion NeTwork (HVPNeT) for visual-enhanced entity and relation extraction, aiming to achieve more effective and robust performance.
1 code implementation • 4 May 2022 • Xiang Chen, Lei LI, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
Note that the previous parametric learning paradigm can be viewed as memorization regarding training data as a book and inference as the close-book test.
1 code implementation • 4 May 2022 • Xiang Chen, Ningyu Zhang, Lei LI, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen
Since most MKGs are far from complete, extensive knowledge graph completion studies have been proposed focusing on the multimodal entity, relation extraction and link prediction.
no code implementations • 28 Apr 2022 • Guochang Lin, Fukai Chen, Pipi Hu, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi
In addition, we also use the Green's function calculated by our method to solve a class of PDE, and also obtain high-precision solutions, which shows the good generalization ability of our method on solving PDEs.
1 code implementation • 24 Apr 2022 • Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
However, mesh movement methods, such as the Monge-Ampere method, require the solution of auxiliary equations, which can be extremely expensive especially when the mesh is adapted frequently.
1 code implementation • CVPR 2022 • Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua
Semi-supervised object detection (SSOD) aims to facilitate the training and deployment of object detectors with the help of a large amount of unlabeled data.
no code implementations • 14 Apr 2022 • Zhongkui Li, Junjie Jiao, Xiang Chen
A novel two-step complementary design approach is proposed.
no code implementations • 1 Apr 2022 • Zirui Xu, Fuxun Yu, JinJun Xiong, Xiang Chen
The significant success of Deep Neural Networks (DNNs) is highly promoted by the multiple sophisticated DNN libraries.
no code implementations • 28 Mar 2022 • Zike Lei, Xi Chen, Ying Tan, Xiang Chen, Li Chai
An optimization method is proposed in this paper for novel deployment of given number of directional landmarks (location and pose) within a given region in the 3-D task space.
no code implementations • 20 Mar 2022 • Beijia Chen, Yuefan Shen, Hongbo Fu, Xiang Chen, Kun Zhou, Youyi Zheng
In this paper, we present NeuralReshaper, a novel method for semantic reshaping of human bodies in single images using deep generative networks.
no code implementations • 15 Mar 2022 • Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li
Then these negative adversaries are trained end-to-end together with the backbone representation network to enhance the discriminative information and promote factor disentanglement performance by maximizing the adversarial contrastive loss.
1 code implementation • 17 Feb 2022 • Boxue Xiao, Zhuoran Zheng, Xiang Chen, Chen Lv, Yunliang Zhuang, Tao Wang
Currently, most single image dehazing models cannot run an ultra-high-resolution (UHD) image with a single GPU shader in real-time.
no code implementations • 10 Feb 2022 • Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo
Since proposed in the 70s, the Non-Equilibrium Green Function (NEGF) method has been recognized as a standard approach to quantum transport simulations.
no code implementations • 3 Feb 2022 • Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
The Schr\"odinger equation is at the heart of modern quantum mechanics.
1 code implementation • 29 Jan 2022 • Xiang Chen, Xiaojun Wan
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task which aims to extract the aspects from sentences and identify their corresponding sentiments.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +4
no code implementations • 27 Jan 2022 • Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen
Specifically, we develop the ontology transformation based on the external knowledge graph to address the knowledge missing issue, which fulfills and converts structure knowledge to text.
1 code implementation • 10 Jan 2022 • Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei LI, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Peng Wang, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Qiang Chen, Feiyu Xiong, Fei Huang, Guozhou Zheng, Huajun Chen
We present an open-source and extensible knowledge extraction toolkit DeepKE, supporting complicated low-resource, document-level and multimodal scenarios in the knowledge base population.
no code implementations • 9 Jan 2022 • Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang
They are lack of self-evaluation ability, that is, to examine the rationality of their prediction results, thus failing to guide users to identify high-quality ones from their candidate results.
no code implementations • CVPR 2022 • Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang
Although the Trajectory Prediction (TP) model has achieved great success in computer vision and robotics fields, its architecture and training scheme design rely on heavy manual work and domain knowledge, which is not friendly to common users.
1 code implementation • 23 Dec 2021 • Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Yaguan Qian, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu
Then, we conduct a comprehensive and systematic review to categorize the state-of-the-art adversarial attacks against PE malware detection, as well as corresponding defenses to increase the robustness of Windows PE malware detection.
no code implementations • 29 Nov 2021 • Zhenting Luan, Zhenyu Ming, Yuchi Wu, Wei Han, Xiang Chen, Bo Bai, Liping Zhang
We also develop a novel subcarrier recovery method for the proposed model.
no code implementations • 28 Nov 2021 • Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, ChenChen Liu, Zhi Tian, Xiang Chen
Federated learning learns from scattered data by fusing collaborative models from local nodes.
no code implementations • 28 Nov 2021 • Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, ChenChen Liu, Xiang Chen
With both scaling trends, new problems and challenges emerge in DL inference serving systems, which gradually trends towards Large-scale Deep learning Serving systems (LDS).
no code implementations • 29 Sep 2021 • Guochang Lin, Fukai Chen, Pipi Hu, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi
Green's function plays a significant role in both theoretical analysis and numerical computing of partial differential equations (PDEs).
no code implementations • NeurIPS Workshop DLDE 2021 • Feng Zhao, Xiang Chen, Jun Wang, Zuoqiang Shi, Shao-Lun Huang
Traditionally, we provide technical parameters for ODE solvers, such as the order, the stepsize and the local error threshold.
no code implementations • 17 Sep 2021 • Chengxi Li, Feiyu Gao, Jiajun Bu, Lu Xu, Xiang Chen, Yu Gu, Zirui Shao, Qi Zheng, Ningyu Zhang, Yongpan Wang, Zhi Yu
We inject sentiment knowledge regarding aspects, opinions, and polarities into prompt and explicitly model term relations via constructing consistency and polarity judgment templates from the ground truth triplets.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
2 code implementations • EMNLP 2021 • JianGuo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip Yu
In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar.
no code implementations • CVPR 2022 • Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan
Learning single image deraining (SID) networks from an unpaired set of clean and rainy images is practical and valuable as acquiring paired real-world data is almost infeasible.
1 code implementation • COLING 2022 • Xiang Chen, Lei LI, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang
Most NER methods rely on extensive labeled data for model training, which struggles in the low-resource scenarios with limited training data.
4 code implementations • ICLR 2022 • Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen
Large-scale pre-trained language models have contributed significantly to natural language processing by demonstrating remarkable abilities as few-shot learners.
Ranked #1 on Few-Shot Learning on CR
1 code implementation • 9 Jul 2021 • Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F Frangi
Image registration aims to establish spatial correspondence across pairs, or groups of images, and is a cornerstone of medical image computing and computer-assisted-interventions.
no code implementations • CVPR 2021 • Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin
In turn, it also collects the reinforced features from each modality and uses them to generate a reinforced common message.
no code implementations • 11 Jun 2021 • Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi
Image registration is a fundamental building block for various applications in medical image analysis.
2 code implementations • 7 Jun 2021 • Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
Specifically, we leverage an encoder module to capture the context information of entities and a U-shaped segmentation module over the image-style feature map to capture global interdependency among triples.
Ranked #4 on Relation Extraction on GDA
1 code implementation • 3 Jun 2021 • Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen
Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search.
no code implementations • 25 Apr 2021 • Xiang Chen, Yufeng Huang, Lei Xu
Rain streaks bring serious blurring and visual quality degradation, which often vary in size, direction and density.
1 code implementation • 15 Apr 2021 • Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
To this end, we focus on incorporating knowledge among relation labels into prompt-tuning for relation extraction and propose a Knowledge-aware Prompt-tuning approach with synergistic optimization (KnowPrompt).
Ranked #5 on Dialog Relation Extraction on DialogRE (F1 (v1) metric)
no code implementations • 14 Apr 2021 • Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
We advocate a new resource allocation framework, which we term resource rationing, for wireless federated learning (FL).
1 code implementation • 11 Apr 2021 • Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang, Huajun Chen
Although the self-supervised pre-training of transformer models has resulted in the revolutionizing of natural language processing (NLP) applications and the achievement of state-of-the-art results with regard to various benchmarks, this process is still vulnerable to small and imperceptible permutations originating from legitimate inputs.
1 code implementation • 1 Apr 2021 • Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen
Recent neural-based relation extraction approaches, though achieving promising improvement on benchmark datasets, have reported their vulnerability towards adversarial attacks.
no code implementations • 11 Mar 2021 • Hong Xie, Zhi-Gao Shi, Le-Wei He, Xiang Chen, Chang-Geng Liao, Xiu-Min Lin
Entanglement between magnon mode and one of the two optical modes will be generated by the first pulse, and the state of magnon mode is subsequently mapped into another optical mode via the second pulse.
Quantum Physics
1 code implementation • SEMEVAL 2021 • Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen
This paper presents our systems for the three Subtasks of SemEval Task4: Reading Comprehension of Abstract Meaning (ReCAM).
Ranked #1 on Reading Comprehension on ReCAM (using extra training data)
1 code implementation • 1 Feb 2021 • Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen
As query reformulation is tedious for developers, especially for novices, we propose an automated software-specific query reformulation approach based on deep learning.
no code implementations • 1 Jan 2021 • Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Yantao Jia, Zonggang Yuan, Huajun Chen
Although the self-supervised pre-training of transformer models has resulted in the revolutionizing of natural language processing (NLP) applications and the achievement of state-of-the-art results with regard to various benchmarks, this process is still vulnerable to small and imperceptible permutations originating from legitimate inputs.
no code implementations • 7 Dec 2020 • Sihui Zheng, Cong Shen, Xiang Chen
Comprehensive numerical evaluation on various real-world datasets reveals that the benefit of a FL-tailored uplink and downlink communication design is enormous - a carefully designed quantization and transmission achieves more than 98% of the floating-point baseline accuracy with fewer than 10% of the baseline bandwidth, for majority of the experiments on both i. i. d.
1 code implementation • 5 Dec 2020 • Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer
In this paper, we propose a contrastive learning framework for cross-domain sentiment classification.
no code implementations • 1 Dec 2020 • Chen Qian, Yunhai Xiong, Xiang Chen
DGANN distinguishes from previous models with those features: (1) It learns the local chemical environment encoding by graph attention mechanism on chemical bonds.
no code implementations • 22 Nov 2020 • Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
This paper gives an overview of our ongoing work on the design space exploration of efficient deep neural networks (DNNs).
1 code implementation • 30 Oct 2020 • Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer
Due to scarcity of labels on the target domain, we introduce mutual information maximization (MIM) apart from CL to exploit the features that best support the final prediction.
no code implementations • 27 Oct 2020 • Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
Spectral computed tomography (CT) can reconstruct spectral images from different energy bins using photon counting detectors (PCDs).
1 code implementation • 14 Sep 2020 • Luoqiu Li, Xiang Chen, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang, Huajun Chen
Fine-tuning pre-trained models have achieved impressive performance on standard natural language processing benchmarks.
no code implementations • 17 Aug 2020 • Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen
MLBF-Net is composed of three components: 1) multiple lead-specific branches for learning the diversity of multi-lead ECG; 2) cross-lead features fusion by concatenating the output feature maps of all branches for learning the integrity of multi-lead ECG; 3) multi-loss co-optimization for all the individual branches and the concatenated network.
no code implementations • 15 Aug 2020 • Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, ChenChen Liu, Zhi Tian, Xiang Chen
Specifically, we design a feature-oriented regulation method ({$\Psi$-Net}) to ensure explicit feature information allocation in different neural network structures.
no code implementations • 14 Aug 2020 • Fuxun Yu, ChenChen Liu, Di Wang, Yanzhi Wang, Xiang Chen
Based on the neural network attention mechanism, we propose a comprehensive dynamic optimization framework including (1) testing-phase channel and column feature map pruning, as well as (2) training-phase optimization by targeted dropout.
no code implementations • 28 May 2020 • Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn
This strengthens the local feature invariance for the resampled features and enables detecting vehicles in an arbitrary orientation.
no code implementations • 7 May 2020 • Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng
For this scenario, generative replay is a promising strategy which generates and replays pseudo data for previous tasks to alleviate catastrophic forgetting.
no code implementations • 14 Apr 2020 • Baiming Chen, Xiang Chen, Wu Qiong, Liang Li
Results show that the adversarial scenarios generated by our method significantly degrade the performance of the tested vehicles.
no code implementations • 30 Jan 2020 • Shiqi Zheng, Shihao Wang, Xiang Chen, Yuanlong Xie
Different from the existing adaptive controllers for structured/parametric uncertainties, a new switching barrier Lyapunov method and supervisory functions are introduced to overcome the obstacles caused by unstructured uncertainties and unknown control directions.
no code implementations • 28 Jan 2020 • Ping Xu, Yue Wang, Xiang Chen, Zhi Tian
This paper studies the decentralized optimization and learning problem where multiple interconnected agents aim to learn an optimal decision function defined over a reproducing kernel Hilbert space by jointly minimizing a global objective function, with access to their own locally observed dataset.
no code implementations • ECCV 2020 • Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
Weight pruning has been widely acknowledged as a straightforward and effective method to eliminate redundancy in Deep Neural Networks (DNN), thereby achieving acceleration on various platforms.
1 code implementation • 19 Jan 2020 • Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang
Previous database systems extended their SQL dialect to support ML.
no code implementations • 3 Dec 2019 • Zirui Xu, Zhao Yang, JinJun Xiong, Jianlei Yang, Xiang Chen
In this paper, we propose Helios, a heterogeneity-aware FL framework to tackle the straggler issue.
Distributed, Parallel, and Cluster Computing
1 code implementation • 17 Nov 2019 • Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
In this work, we show that such adversarial-based methods can only reduce the domain style gap, but cannot address the domain content distribution gap that is shown to be important for object detectors.
no code implementations • 17 Oct 2019 • Zirui Xu, Fuxun Yu, Xiang Chen
Based on the detection result, we further propose a data recovery methodology to defend the physical adversarial attacks.
no code implementations • 25 Sep 2019 • Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
To overcome these drawbacks, alternating minimization-based methods for deep neural network optimization have attracted fast-increasing attention recently.
no code implementations • 27 Aug 2019 • Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
To mitigate the challenges, the memristor crossbar array has emerged as an intrinsically suitable matrix computation and low-power acceleration framework for DNN applications.
1 code implementation • 26 Aug 2019 • Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
At present, object recognition studies are mostly conducted in a closed lab setting with classes in test phase typically in training phase.
1 code implementation • 31 May 2019 • Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
However, as an emerging domain, several challenges remain, including 1) The lack of global convergence guarantees, 2) Slow convergence towards solutions, and 3) Cubic time complexity with regard to feature dimensions.
no code implementations • 21 May 2019 • Zirui Xu, Fuxun Yu, Xiang Chen
To address this issue, we propose DoPa -- a comprehensive CNN detection methodology for various physical adversarial attacks.
no code implementations • 10 May 2019 • Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
Recently, adversarial deception becomes one of the most considerable threats to deep neural networks.
no code implementations • ICLR 2019 • Zhuwei Qin, Fuxun Yu, ChenChen Liu, Xiang Chen
As significant redundancies inevitably present in such a structure, many works have been proposed to prune the convolutional filters for computation cost reduction.
no code implementations • 11 Apr 2019 • Xiang Chen, Lingbo Qing, Xiaohai He, Xiaodong Luo, Yining Xu
With a novel fully-trained generative network, FTGAN can synthesize higher-quality images and urge the outputs of the FTGAN are more relevant to the input sentences.
no code implementations • 13 Mar 2019 • Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen
By massive training samples, our end-to-end learning approach can achieve an average of 86. 4% prediction accuracy in an environment of up to 5 people.
no code implementations • 25 Nov 2018 • Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper
Our proposed framework consists of two components, a traditional BGS segmenter $\mathcal{B}$ and a real-time semantic segmenter $\mathcal{S}$.
no code implementations • NIPS Workshop CDNNRIA 2018 • Zhuwei Qin, Fuxun Yu, ChenChen Liu, Xiang Chen
We find that the filter magnitude based method fails to eliminate the filters with repetitive functionality.
no code implementations • NIPS Workshop CDNNRIA 2018 • Fuxun Yu, Zhuwei Qin, Xiang Chen
Neural network compression and acceleration are widely demanded currently due to the resource constraints on most deployment targets.
no code implementations • 24 Oct 2018 • Qing Lyu, Minghao Chen, Xiang Chen
With our adapted synthetic data for training the semantic segmentation, we achieve an improvement of 6:59% when applied to real images, superior to alternative methods.
no code implementations • ICLR 2019 • Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang
Motivated by dynamic programming, the proposed method reaches extremely high pruning rate by using partial prunings with moderate pruning rates.
no code implementations • ICLR 2019 • Zhuwei Qin, Fuxun Yu, ChenChen Liu, Xiang Chen
As significant redundancies inevitably present in such a structure, many works have been proposed to prune the convolutional filters for computation cost reduction.
no code implementations • ICLR 2019 • Fuxun Yu, ChenChen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen
One popular hypothesis of neural network generalization is that the flat local minima of loss surface in parameter space leads to good generalization.
no code implementations • 4 Sep 2018 • Zirui Xu, Fuxun Yu, ChenChen Liu, Xiang Chen
In this work, we propose HASP -- a high-performance security enhancement approach to solve this security issue on mobile devices.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 23 May 2018 • Fuxun Yu, Zirui Xu, Yanzhi Wang, ChenChen Liu, Xiang Chen
In recent years, neural networks have demonstrated outstanding effectiveness in a large amount of applications. However, recent works have shown that neural networks are susceptible to adversarial examples, indicating possible flaws intrinsic to the network structures.
1 code implementation • 30 Apr 2018 • Zhuwei Qin, Fuxun Yu, ChenChen Liu, Xiang Chen
Nowadays, the Convolutional Neural Networks (CNNs) have achieved impressive performance on many computer vision related tasks, such as object detection, image recognition, image retrieval, etc.
no code implementations • 15 Feb 2018 • Fuxun Yu, Qide Dong, Xiang Chen
By comparing the analyzed saliency map and the adversarial perturbation distribution, we proposed a new evaluation scheme to comprehensively assess the adversarial attack precision and efficiency.