no code implementations • 21 Apr 2018 • Qibin Zheng, Xingchun Diao, Jianjun Cao, Xiaolei Zhou, Yi Liu, Hongmei Li
In this paper, we bring a extrinsic correlation between the space structures of each modalities in coreference resolution.
no code implementations • 7 Nov 2016 • Miguel Lázaro-Gredilla, Yi Liu, D. Scott Phoenix, Dileep George
We introduce the hierarchical compositional network (HCN), a directed generative model able to discover and disentangle, without supervision, the building blocks of a set of binary images.
no code implementations • 14 Jul 2017 • Yi Liu, Liang He, Yao Tian, Zhuzi Chen, Jia Liu, Michael T. Johnson
Additionally, we also find that even though bottleneck features perform well for text-independent speaker verification, they do not outperform MFCCs on the most challenging Imposter-Correct trials on RedDots.
no code implementations • CVPR 2017 • Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Convolutional neural networks (CNNs) have shown great success in computer vision, approaching human-level performance when trained for specific tasks via application-specific loss functions.
no code implementations • 12 Feb 2017 • Qiang Zhang, Yi Liu, Rick S. Blum, Jungong Han, DaCheng Tao
As a result of several successful applications in computer vision and image processing, sparse representation (SR) has attracted significant attention in multi-sensor image fusion.
no code implementations • 8 Nov 2016 • Huayan Wang, Anna Chen, Yi Liu, Dileep George, D. Scott Phoenix
Neural networks have shown to be a practical way of building a very complex mapping between a pre-specified input space and output space.
no code implementations • ACL 2018 • Zeyang Lei, Yujiu Yang, Min Yang, Yi Liu
Deep learning approaches for sentiment classification do not fully exploit sentiment linguistic knowledge.
Ranked #5 on Sentiment Analysis on MR
no code implementations • 22 Oct 2018 • Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan
We further apply our algorithm to optimize a message that promotes adoption of an Amazon service.
no code implementations • 6 Nov 2018 • Qiangqiang Wu, Yan Yan, Yanjie Liang, Yi Liu, Hanzi Wang
In recent years, Discriminative Correlation Filter (DCF) based tracking methods have achieved great success in visual tracking.
no code implementations • 24 Nov 2018 • Xinzhi Wang, Shengcheng Yuan, HUI ZHANG, Yi Liu
By contrast, in objective news bodies and titles, it is easy to regard text as caused love (gd).
no code implementations • WS 2018 • Pengcheng Zhu, Yujiu Yang, Wenqiang Gao, Yi Liu
Based on the multi-glance mechanism, we design two types of recurrent neural network models for repeated reading: Glance Cell Model (GCM) and Glance Gate Model (GGM).
no code implementations • ICLR 2019 • Yi Liu
Batch Normalization (BN) and its variants have seen widespread adoption in the deep learning community because they improve the training of deep neural networks.
no code implementations • 4 Sep 2016 • Yi Liu, Jingwei Liu
A calculation formula of volume of revolution with integration by parts of definite integral is derived based on monotone function, and extended to a general case that curved trapezoids is determined by continuous, piecewise strictly monotone and differential function.
no code implementations • 15 Jun 2019 • Qi Xuan, Fuxian Li, Yi Liu, Yun Xiang
Experimental results on ModelNet10 and ModelNet40 datasets show that our MV-C3D technique can achieve outstanding performance with multi-view images which are captured from partial angles with less range.
no code implementations • 1 Jul 2019 • Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
It is also shown that our proposed global pixel transformer layer is useful to improve the fluorescence image prediction results.
no code implementations • 21 Jul 2019 • Yun Xiang, Zhuangzhi Chen, Zuohui Chen, Zebin Fang, Haiyang Hao, Jinyin Chen, Yi Liu, Zhefu Wu, Qi Xuan, Xiaoniu Yang
However, recent studies indicate that they are also vulnerable to adversarial attacks.
no code implementations • 17 Sep 2019 • Yi Liu, Chao Pang, Zongqian Zhan, Xiaomeng Zhang, Xue Yang
In recent years, building change detection methods have made great progress by introducing deep learning, but they still suffer from the problem of the extracted features not being discriminative enough, resulting in incomplete regions and irregular boundaries.
Building change detection for remote sensing images Change Detection +3
no code implementations • 4 Oct 2019 • Yi Liu, Jialiang Peng, James J. Q. Yu, Yi Wu
To address this issue, we propose a Privacy-preserving Generative Adversarial Network (PPGAN) model, in which we achieve differential privacy in GANs by adding well-designed noise to the gradient during the model learning procedure.
no code implementations • 25 Dec 2019 • Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin
This paper describes the systems submitted by the department of electronic engineering, institute of microelectronics of Tsinghua university and TsingMicro Co. Ltd. (THUEE) to the NIST 2019 speaker recognition evaluation CTS challenge.
no code implementations • 28 Dec 2019 • Jingtao Guo, Zhenzhen Qian, Zuowei Zhou, Yi Liu
These methods encode attribute-related information in images into the predefined region of the latent feature space by employing a pair of images with opposite attributes as input to train model, the face attribute transfer between the input image and the exemplar can be achieved by exchanging their attribute-related latent feature region.
no code implementations • 12 May 2020 • Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif
In this article, we propose a blockchain-based secure FL framework to create smart contracts and prevent malicious or unreliable participants from involving in FL.
no code implementations • 31 May 2020 • Jingtao Guo, Yi Liu, Zhenzhen Qian, Zuowei Zhou
Image synthesis has witnessed substantial progress due to the increasing power of generative model.
no code implementations • 4 Jun 2020 • Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato
As the 5G communication networks are being widely deployed worldwide, both industry and academia have started to move beyond 5G and explore 6G communications.
no code implementations • CVPR 2020 • Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
Semi-supervised generative learning aims to learn the underlying class-conditional distribution of partially labeled data.
no code implementations • 1 Jul 2020 • Yi Liu, Veronika Rockova
Thompson sampling is a heuristic algorithm for the multi-armed bandit problem which has a long tradition in machine learning.
BIG-bench Machine Learning Interpretable Machine Learning +3
no code implementations • 19 Jul 2020 • Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain
Third, to adapt the proposed framework to the timeliness of industrial anomaly detection, we propose a gradient compression mechanism based on Top-\textit{k} selection to improve communication efficiency.
no code implementations • 18 Jul 2020 • Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji
However, these methods do not incorporate the important sequential information from amino acid chains and the high-order pairwise interactions.
Protein Interface Prediction Vocal Bursts Intensity Prediction
no code implementations • 23 Jul 2020 • Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao
To this end, this paper proposes a new federated learning-based aerial-ground air quality sensing framework for fine-grained 3D air quality monitoring and forecasting.
no code implementations • 24 Jul 2020 • Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan
Combating fake news and misinformation propagation is a challenging task in the post-truth era.
no code implementations • 19 Oct 2020 • Hongyang Gao, Yi Liu, Shuiwang Ji
In addition, graph topology is incorporated in global voting to compute the importance score of each node globally in the entire graph.
no code implementations • 10 Aug 2020 • Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao
This framework can achieve scalable and flexible decentralized FEL by individually manage local model updates or model sharing records for performance isolation.
Cryptography and Security
no code implementations • 8 Jun 2020 • Evgeny Degtyarev, Kaspar Rufibach, Yue Shentu, Godwin Yung, Michelle Casey, Stefan Englert, Feng Liu, Yi Liu, Oliver Sailer, Jonathan Siegel, Steven Sun, Rui Tang, Jiangxiu Zhou
We identify key intercurrent events that may occur due to COVID-19 in oncology clinical trials with a focus on time-to-event endpoints and discuss considerations pertaining to the other estimand attributes introduced in the ICH E9 addendum.
no code implementations • 1 Dec 2020 • Yi Liu, Li Zhang, Ning Ge, Guanghao Li
In this process, the server uses an incentive mechanism to encourage clients to contribute high-quality and large-volume data to improve the global model.
no code implementations • 8 Dec 2020 • Yi Liu, Xingliang Yuan, Ruihui Zhao, Cong Wang, Dusit Niyato, Yefeng Zheng
Extensive case studies have shown that our attacks are effective on different datasets and common semi-supervised learning methods.
no code implementations • 8 Dec 2020 • Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng
Second, we propose an asynchronous local differential privacy mechanism, which improves communication efficiency and mitigates gradient leakage attacks by adding well-designed noise to the gradients of edge nodes.
no code implementations • 12 Jan 2021 • Yi Liu, Shuiwang Ji
The effectiveness of our methods is evaluated on both online and offline tasks.
no code implementations • 12 Jan 2021 • Yi Liu, Pinar Yildirim, Z. John Zhang
This means that platforms under different revenue models can have different incentives to improve their content moderation technology.
no code implementations • 14 Jan 2021 • Yi Liu, Shuiwang Ji
The method is then integrated to the last stage of the proposed transfer learning framework to reuse the complex patterns learned from the same CT images.
no code implementations • 22 Feb 2021 • Yi Liu, Yao Teng, Chenfei Yang, Changqing Feng, Ingrid-Maria Gregor, Lennart Huth, Marcel Stanitzki
The coincident signal of all scintillators is used as trigger and then used as a trigger and distributed to the entire system, including all the telescope planes and any devices under test from test beam users.
Instrumentation and Detectors Instrumentation and Methods for Astrophysics High Energy Physics - Experiment
no code implementations • 15 Mar 2021 • Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji
We study text representation methods using deep models.
no code implementations • 22 May 2021 • Changqing Xu, Yi Liu, XinFang Liao, JiaLiang Cheng, YinTang Yang
A multilayer feedfordward neural network is used to build the SET pulse current model by learning the data from TCAD simulation.
no code implementations • 18 May 2021 • Chenxin Qin, Ruhao Liu, Maocai Li, Shengyuan Li, Yi Liu, ChiChun Zhou
The ratio net holds promise for advancing the efficiency and effectiveness of solving differential equations.
no code implementations • 17 Jun 2021 • Bo Hu, Bryan Seybold, Shan Yang, David Ross, Avneesh Sud, Graham Ruby, Yi Liu
We present a method to infer the 3D pose of mice, including the limbs and feet, from monocular videos.
no code implementations • CVPR 2021 • Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
Semi-supervised generative learning (SSGL) makes use of unlabeled data to achieve a trade-off between the data collection/annotation effort and generation performance, when adequate labeled data are not available.
no code implementations • 1 Jul 2021 • Wenjun Zeng, Yi Liu
For marketing, we sometimes need to recommend content for multiple pages in sequence.
no code implementations • 1 Jul 2021 • Yi Liu, Lihong Li
The rich body of Bandit literature not only offers a diverse toolbox of algorithms, but also makes it hard for a practitioner to find the right solution to solve the problem at hand.
1 code implementation • 16 Jul 2021 • Jinyin Chen, Haiyang Xiong, Haibin Zhenga, Dunjie Zhang, Jian Zhang, Mingwei Jia, Yi Liu
To achieve lower-complexity defense applied to graph classification models, EGC2 utilizes a centrality-based edge-importance index to compress the graphs, filtering out trivial structures and adversarial perturbations in the input graphs, thus improving the model's robustness.
no code implementations • 29 Jul 2021 • Nicolas Basty, Marjola Thanaj, Madeleine Cule, Elena P. Sorokin, Yi Liu, Jimmy D. Bell, E. Louise Thomas, Brandon Whitcher
Using data from the UK Biobank Dixon MRI, our model is able to predict highly accurate fat and water channels that are free from artifacts.
no code implementations • 31 Jul 2021 • Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin
One of the greatest challenges in IC design is the repeated executions of computationally expensive SPICE simulations, particularly when highly complex chip testing/verification is involved.
no code implementations • EMNLP (sustainlp) 2021 • Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan
Copy mechanisms explicitly obtain unchanged tokens from the source (input) sequence to generate the target (output) sequence under the neural seq2seq framework.
no code implementations • ICCV 2021 • Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Feng Liangbing, Hau San Wong
To ensure disentanglement among the variables, we maximize mutual information between the class-independent variable and synthesized images, map real images to the latent space of a generator to perform consistency regularization of cross-class attributes, and incorporate class semantic-based regularization into a discriminator's feature space.
no code implementations • 8 Oct 2021 • Jinyin Chen, Haiyang Xiong, Haibin Zheng, Jian Zhang, Guodong Jiang, Yi Liu
Backdoor attacks induce the DLP methods to make wrong prediction by the malicious training data, i. e., generating a subgraph sequence as the trigger and embedding it to the training data.
no code implementations • 29 Sep 2021 • Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong
In real scenarios, state observations that an agent observes may contain measurement errors or adversarial noises, misleading the agent to take suboptimal actions or even collapse while training.
Distributional Reinforcement Learning reinforcement-learning +1
no code implementations • 29 Sep 2021 • Yi Liu, Ke Sun, Bei Jiang, Linglong Kong
Gaussian differential privacy (GDP) is a single-parameter family of privacy notions that provides coherent guarantees to avoid the exposure of individuals from machine learning models.
no code implementations • 29 Sep 2021 • Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong
Distributional reinforcement learning~(RL) is a class of state-of-the-art algorithms that estimate the whole distribution of the total return rather than only its expectation.
no code implementations • 14 Oct 2021 • Yi Liu, Yuanshao Zhu, James J. Q. Yu
Similarly, due to the heterogeneity of the connected remote devices, FEEL faces the challenge of heterogeneous data and non-IID (Independent and Identically Distributed) data.
no code implementations • 16 Oct 2021 • Keyan Ding, Yi Liu, Xueyi Zou, Shiqi Wang, Kede Ma
The latest advances in full-reference image quality assessment (IQA) involve unifying structure and texture similarity based on deep representations.
Ranked #34 on Video Quality Assessment on MSU SR-QA Dataset
no code implementations • NeurIPS 2021 • Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Anderson mixing has been heuristically applied to reinforcement learning (RL) algorithms for accelerating convergence and improving the sampling efficiency of deep RL.
no code implementations • 25 Nov 2021 • Changqing Xu, Yi Liu, YinTang Yang
In our proposed training method, we proposed three approximated derivative for spike activity to solve the problem of the non-differentiable issue which cause difficulties for direct training SNNs based on BP.
no code implementations • 1 Jan 2022 • Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian
Currently, the DL compilers partition the input DL models into several subgraphs and leverage the auto-tuning to find the optimal tensor codes of these subgraphs.
no code implementations • 12 Jan 2022 • Yan Ma, Tianxing Liu, Bingsheng Wei, Yi Liu, Kang Xu, Wei Li
Evolutionary Algorithms (EAs) and Deep Reinforcement Learning (DRL) have recently been integrated to take the advantage of the both methods for better exploration and exploitation. The evolutionary part in these hybrid methods maintains a population of policy networks. However, existing methods focus on optimizing the parameters of policy network, which is usually high-dimensional and tricky for EA. In this paper, we shift the target of evolution from high-dimensional parameter space to low-dimensional action space. We propose Evolutionary Action Selection-Twin Delayed Deep Deterministic Policy Gradient (EAS-TD3), a novel hybrid method of EA and DRL. In EAS, we focus on optimizing the action chosen by the policy network and attempt to obtain high-quality actions to promote policy learning through an evolutionary algorithm.
no code implementations • 4 Feb 2022 • Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang
In this paper, we present a system design which offers efficient protection of individual model updates throughout the learning procedure, allowing clients to only provide obscured model updates while a cloud server can still perform the aggregation.
no code implementations • 9 Feb 2022 • Chen Shen, Yi Liu, Wenzhi Fan, Bin Wang, Shixue Wen, Yao Tian, Jun Zhang, Jingsheng Yang, Zejun Ma
For Track 1, we propose several approaches to empower the clustering-based speaker diarization system to handle overlapped speech.
no code implementations • 9 Mar 2022 • Yike Zhang, Xiaobing Feng, Yi Liu, Songjun Cao, Long Ma
Automatic speech recognition (ASR) systems used on smart phones or vehicles are usually required to process speech queries from very different domains.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 14 Mar 2022 • Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li
Existing machine unlearning techniques focus on centralized training, where access to all holders' training data is a must for the server to conduct the unlearning process.
no code implementations • 18 Mar 2022 • Changqing Xu, Yi Liu, YinTang Yang
We evaluate the proposed method for event streams classification tasks on neuromorphic N-MNIST, CIFAR10-DVS, DVS128 gesture datasets.
no code implementations • 2 Apr 2022 • Siyang Wen, Wei Guo, Yi Liu, Ruijie Wu
The eight-parameter (coordinates of box vectors) methods in rotated object detection usually use ln-norm losses (L1 loss, L2 loss, and smooth L1 loss) as loss functions.
no code implementations • 9 May 2022 • Yinjie Zhang, Yi Liu, Wei Guo
Second, the offsets help with the low-resolution deep feature up-sampling process to improve the feature accordance, which boosts the accuracy of semantic segmentation.
no code implementations • 16 May 2022 • Lei Zhang, Yu Pan, Yi Liu, Qibin Zheng, Zhisong Pan
Following that, we proposed a user's permissions reasoning method based on reinforcement learning.
no code implementations • 23 May 2022 • Lei Zhang, Yu Pan, Yi Liu, Qibin Zheng, Zhisong Pan
In order to improve the defense ability of defender, a game model based on reward randomization reinforcement learning is proposed.
no code implementations • 21 Jun 2022 • Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang
Answer grounding aims to reveal the visual evidence for visual question answering (VQA), which entails highlighting relevant positions in the image when answering questions about images.
no code implementations • 31 Jul 2022 • Changqing Xu, Yijian Pei, Zili Wu, Yi Liu, YinTang Yang
Spiking neural network (SNN) is a brain-inspired model which has more spatio-temporal information processing capacity and computational energy efficiency.
no code implementations • 6 Aug 2022 • Konstantin Golobokov, Junyi Chai, Victor Ye Dong, Mandy Gu, Bingyu Chi, Jie Cao, Yulan Yan, Yi Liu
In addition, our system creates a customized ad in real-time in response to the user's search query, therefore highlighting different aspects of the same product based on what the user is looking for.
no code implementations • 2 Sep 2022 • Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
This paper introduces SATformer, a novel Transformer-based approach for the Boolean Satisfiability (SAT) problem.
no code implementations • 8 Sep 2022 • Ruofeng Wen, Wenjun Zeng, Yi Liu
Routing contacts to eligible SMEs turns out to be a non-trivial problem because SMEs' domain eligibility is subject to training quality and can change over time.
no code implementations • 6 Oct 2022 • Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu
Controllable text generation systems often leverage control codes to direct various properties of the output like style and length.
no code implementations • COLING 2022 • Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu
Transforming the large amounts of unstructured text on the Internet into structured event knowledge is a critical, yet unsolved goal of NLP, especially when addressing document-level text.
no code implementations • 20 Oct 2022 • Yi Liu, Xuan Zhang, Ying Li, Guixin Liang, Yabing Jiang, Lixia Qiu, Haiping Tang, Fei Xie, Wei Yao, Yi Dai, Yu Qiao, Yali Wang
For this reason, we propose to advance research areas of video understanding, with a shift from traditional action recognition to industrial anomaly analysis.
no code implementations • 20 Oct 2022 • Yuying Hao, Yi Liu, Juncai Peng, Haoyi Xiong, Guowei Chen, Shiyu Tang, Zeyu Chen, Baohua Lai
Interactive image segmentation aims at segmenting a target region through a way of human-computer interaction.
no code implementations • 14 Nov 2022 • Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao
We prove that FedFoA is a model-agnostic training framework and can be easily compatible with state-of-the-art unsupervised FL methods.
no code implementations • 15 Nov 2022 • Qihua Zhou, Ruibin Li, Song Guo, Peiran Dong, Yi Liu, Jingcai Guo, Zhenda Xu
Recent years have witnessed the dramatic growth of Internet video traffic, where the video bitstreams are often compressed and delivered in low quality to fit the streamer's uplink bandwidth.
no code implementations • 7 Dec 2022 • Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Yida Xu, Jie Zhang, Yi Liu
Extensive experiments based on small Cifar-10 and large-scaled ImageNet demonstrate that our method can obtain sparser networks with great generalization performance while providing quantified reliability for the pruned model.
no code implementations • 2 Jan 2023 • Andreea Bobu, Yi Liu, Rohin Shah, Daniel S. Brown, Anca D. Dragan
This, in turn, is what enables the robot to disambiguate between what needs to go into the representation versus what is spurious, as well as what aspects of behavior can be compressed together versus not.
no code implementations • 11 Jan 2023 • Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel S. Brown
In particular, we provide evidence that a learned dynamics model offers the following benefits when performing PbRL: (1) preference elicitation and policy optimization require significantly fewer environment interactions than model-free PbRL, (2) diverse preference queries can be synthesized safely and efficiently as a byproduct of standard model-based RL, and (3) reward pre-training based on suboptimal demonstrations can be performed without any environmental interaction.
no code implementations • 13 Jan 2023 • Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin
In particular, we design the multi-behavior learning module to extract users' personalized behavior information for user-embedding enhancement, and utilize knowledge graph in the knowledge enhancement module to derive more robust knowledge-aware representations for items.
no code implementations • 24 Feb 2023 • Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
Due to the high similarity between MRI data and videos, we conduct extensive empirical studies on video recognition techniques for MRI classification to answer the questions: (1) can we directly use video recognition models for MRI classification, (2) which model is more appropriate for MRI, (3) are the common tricks like data augmentation in video recognition still useful for MRI classification?
no code implementations • 6 Mar 2023 • Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui
Recent years have witnessed the unprecedented achievements of large-scale pre-trained models, especially the Transformer models.
no code implementations • 5 May 2023 • Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Jianzhuang Liu, Youliang Yan
In recent years, videos and images in 720p (HD), 1080p (FHD) and 4K (UHD) resolution have become more popular for display devices such as TVs, mobile phones and VR.
no code implementations • 8 May 2023 • Yi Liu, Shoukun Xu, Dingwen Zhang, Jungong Han
Co-salient object detection targets at detecting co-existed salient objects among a group of images.
no code implementations • 19 May 2023 • Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng
Based on the idea that in-distribution (ID) data with spurious features may have a lower experience risk, in this paper, we propose a novel Spurious Feature-targeted model Pruning framework, dubbed SFP, to automatically explore invariant substructures without referring to the above drawbacks.
no code implementations • 22 May 2023 • Weisong Sun, Chunrong Fang, Yudu You, Yun Miao, Yi Liu, Yuekang Li, Gelei Deng, Shenghan Huang, Yuchen Chen, Quanjun Zhang, Hanwei Qian, Yang Liu, Zhenyu Chen
To support software developers in understanding and maintaining programs, various automatic code summarization techniques have been proposed to generate a concise natural language comment for a given code snippet.
no code implementations • 23 May 2023 • Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang, Yang Liu
Our study investigates three key research questions: (1) the number of different prompt types that can jailbreak LLMs, (2) the effectiveness of jailbreak prompts in circumventing LLM constraints, and (3) the resilience of ChatGPT against these jailbreak prompts.
no code implementations • 8 Jun 2023 • Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, ZiHao Wang, XiaoFeng Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu
We deploy HouYi on 36 actual LLM-integrated applications and discern 31 applications susceptible to prompt injection.
no code implementations • 14 Jul 2023 • Changqing Xu, Yi Liu, YinTang Yang
Brain-inspired spiking neuron networks (SNNs) have attracted widespread research interest due to their low power features, high biological plausibility, and strong spatiotemporal information processing capability.
no code implementations • 15 Aug 2023 • Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
However, the long-tail distribution of entities leads to sparsity in supervision signals, which weakens the quality of item representation when utilizing KG enhancement.
no code implementations • 30 Aug 2023 • Yi Liu, Yuekang Li, Gelei Deng, Felix Juefei-Xu, Yao Du, Cen Zhang, Chengwei Liu, Yeting Li, Lei Ma, Yang Liu
To improve the accessibility of ASR systems for stutterers, we need to expose and analyze the failures of ASR systems on stuttering speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 24 Sep 2023 • Jiayi Ni, Senqiao Yang, ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang
In this paper, we propose a distribution-aware tuning (DAT) method to make the semantic segmentation CTTA efficient and practical in real-world applications.
no code implementations • 3 Oct 2023 • Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong LI, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
In this work, we study a novel self-supervised pre-training pipeline, namely Multi-task Self-super-vised Continual Learning (MUSCLE), for multiple medical imaging tasks, such as classification and segmentation, using X-ray images collected from multiple body parts, including heads, lungs, and bones.
no code implementations • 14 Nov 2023 • Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie zhou, Xu sun
Therefore, to evaluate the ability of LLMs to discern the reliability of external knowledge, we create a benchmark from existing knowledge bases.
1 code implementation • NeurIPS 2023 • Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
We develop an advanced approach for extending Gaussian Differential Privacy (GDP) to general Riemannian manifolds.
no code implementations • 8 Dec 2023 • Hongjie Zhang, Yi Liu, Lu Dong, Yifei HUANG, Zhen-Hua Ling, Yali Wang, LiMin Wang, Yu Qiao
While several long-form VideoQA datasets have been introduced, the length of both videos used to curate questions and sub-clips of clues leveraged to answer those questions have not yet reached the criteria for genuine long-form video understanding.
no code implementations • 1 Jan 2024 • Kaibin Tian, Yanhua Cheng, Yi Liu, Xinglin Hou, Quan Chen, Han Li
To address this issue, we adopt multi-granularity visual feature learning, ensuring the model's comprehensiveness in capturing visual content features spanning from abstract to detailed levels during the training phase.
no code implementations • 1 Jan 2024 • Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang
In this paper, we introduce a detailed framework designed to detect and assess the presence of content from potentially copyrighted books within the training datasets of LLMs.
no code implementations • 30 Jan 2024 • Jie Li, Yi Liu, Chongyang Liu, Ling Shi, Xiaoning Ren, Yaowen Zheng, Yang Liu, Yinxing Xue
To address this research gap, we conducted an extensive empirical study on Multilingual Jailbreak attacks.
no code implementations • 31 Jan 2024 • Benoit Baudry, Khashayar Etemadi, Sen Fang, Yogya Gamage, Yi Liu, Yuxin Liu, Martin Monperrus, Javier Ron, André Silva, Deepika Tiwari
The results show that LLMs can successfully generate realistic test data generators in a wide range of domains at all three levels of integrability.
no code implementations • 14 Feb 2024 • Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, Yang Liu
With the development of LLMs, the security threats of LLMs are getting more and more attention.
no code implementations • 19 Feb 2024 • Yi Liu, Guowei Yang, Gelei Deng, Feiyue Chen, Yuqi Chen, Ling Shi, Tianwei Zhang, Yang Liu
With the prevalence of text-to-image generative models, their safety becomes a critical concern.
no code implementations • 21 Feb 2024 • Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek
Large Language Models (LLMS) have increasingly become central to generating content with potential societal impacts.
no code implementations • 22 Feb 2024 • Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao
GAN-based image attribute editing firstly leverages GAN Inversion to project real images into the latent space of GAN and then manipulates corresponding latent codes.
no code implementations • 2 Mar 2024 • Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun
We successfully propose a novel Neural Field Classifier (NFC) framework which formulates existing neural field methods as classification tasks rather than regression tasks.
no code implementations • 8 Mar 2024 • Muxi Chen, Yi Liu, Jian Yi, Changran Xu, Qiuxia Lai, Hongliang Wang, Tsung-Yi Ho, Qiang Xu
In this paper, we present an empirical study introducing a nuanced evaluation framework for text-to-image (T2I) generative models, applied to human image synthesis.
no code implementations • 15 Apr 2024 • Yuxi Li, Yi Liu, Gelei Deng, Ying Zhang, Wenjia Song, Ling Shi, Kailong Wang, Yuekang Li, Yang Liu, Haoyu Wang
We present categorizations of the identified glitch tokens and symptoms exhibited by LLMs when interacting with glitch tokens.
no code implementations • 15 Apr 2024 • Yuexing Han, Guanxin Wan, Tao Han, Bing Wang, Yi Liu
These outcomes underscore the potential of FAGC to address the challenge of limited image data in materials science, providing a powerful tool for establishing detailed and quantitative relationships between complex microstructures and material properties.
no code implementations • 17 Apr 2024 • Oliver Lloyd, Yi Liu, Tom R. Gaunt
We find, in contrast to previous reports, that for this task tensor factorisation models are competitive with state-of-the-art graph neural network models and we recommend that future work in this field considers cheaper methods with linear complexity before running costly deep learning processes.
1 code implementation • 24 May 2020 • Yang Liu, Hai-Long Tu, Chi-Chun Zhou, Yi Liu, Fu-Lin Zhang
In the task of image classification, usually, the network is sensitive to noises.
1 code implementation • 1 Jul 2022 • Oliver Lloyd, Yi Liu, Tom Gaunt
We regressed the embedding quality on those hyperparameter configurations, using this model to generate Sobol sensitivity indices for each of the hyperparameters.
1 code implementation • 14 May 2020 • Chi-Chun Zhou, Hai-Long Tu, Yue-Jie Hou, Zhen Ling, Yi Liu, Jian Hua
We compare the effectiveness and efficiency of the ratio net and that of the RBF and the MLP with various kinds of activation functions in the classification task on the mnist database of handwritten digits and the Internet Movie Database (IMDb) which is a binary sentiment analysis dataset.
1 code implementation • 12 Aug 2020 • Julie Fitzpatrick, Nicolas Basty, Madeleine Cule, Yi Liu, Jimmy D. Bell, E. Louise Thomas, Brandon Whitcher
We also found that iliopsoas volume was significantly related to height, BMI and age, and that there was an acceleration in muscle volume decrease in men with age.
1 code implementation • 24 Aug 2023 • Tongtao Ling, Chen Liao, Zhipeng Yu, Lei Chen, Shilei Huang, Yi Liu
In clinical dictation, utterances after automatic speech recognition (ASR) without explicit punctuation marks may lead to the misunderstanding of dictated reports.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 24 Oct 2023 • Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao
We analyze this phenomenon and reveal that entity codes, the quantization outcomes for expressing entities, have higher entropy at the code level and Jaccard distance at the codeword level under random entity quantization.
1 code implementation • 27 May 2023 • Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
Aiming at learning entity representations that can match divergent mentions, this paper proposes a Multi-View Enhanced Distillation (MVD) framework, which can effectively transfer knowledge of multiple fine-grained and mention-relevant parts within entities from cross-encoders to dual-encoders.
1 code implementation • 11 Sep 2023 • Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu sun
Existing multimodal works that train models from scratch face the problem of lacking universal knowledge when modeling financial news.
1 code implementation • 26 Dec 2023 • Weisong Sun, Chunrong Fang, Yudu You, Yuchen Chen, Yi Liu, Chong Wang, Jian Zhang, Quanjun Zhang, Hanwei Qian, Wei Zhao, Yang Liu, Zhenyu Chen
PromptCS trains a prompt agent that can generate continuous prompts to unleash the potential for LLMs in code summarization.
2 code implementations • 30 Jul 2020 • Simeng Zheng, Yi Liu, Paul H. Siegel
In this paper, we investigate the use of recurrent neural network (RNN)-based detection of magnetic recording channels with inter-symbol interference (ISI).
1 code implementation • 16 Jun 2023 • Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan
In reinforcement learning (RL), there are two major settings for interacting with the environment: online and offline.
1 code implementation • 21 May 2023 • Yi Liu, Xiaohan Bi, Lei LI, Sishuo Chen, Wenkai Yang, Xu sun
However, as pre-trained language models (PLMs) continue to increase in size, the communication cost for transmitting parameters during synchronization has become a training speed bottleneck.
1 code implementation • ACL 2022 • Jiquan Wang, Lin Sun, Yi Liu, Meizhi Shao, Zengwei Zheng
Sarcasm is important to sentiment analysis on social media.
1 code implementation • 11 Jul 2022 • Kunran Xu, Huawei Zhang, Yishi Li, Yuhao Zhang, Rui Lai, Yi Liu
Tiny machine learning (TinyML), executing AI workloads on resource and power strictly restricted systems, is an important and challenging topic.
1 code implementation • ICCV 2019 • Yi Liu, Qiang Zhang, Dingwen Zhang, Jungong Han
In the second step, we feed the primary capsules into two identical streams, within each of which low-level capsules (parts) will be assigned to their familiar high-level capsules (object) via a locally connected routing.
1 code implementation • 1 Jan 2024 • Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao
While large language models (LLMs) have exhibited impressive instruction-following capabilities, it is still unclear whether and to what extent they can respond to explicit constraints that might be entailed in various instructions.
2 code implementations • 2 Jul 2020 • Nicolas Basty, Yi Liu, Madeleine Cule, E. Louise Thomas, Jimmy D. Bell, Brandon Whitcher
An end-to-end image analysis pipeline is presented for the abdominal MRI protocol used in the UK Biobank on the first 38, 971 participants.
2 code implementations • 29 Dec 2021 • Xiaonan Nie, Xupeng Miao, Shijie Cao, Lingxiao Ma, Qibin Liu, Jilong Xue, Youshan Miao, Yi Liu, Zhi Yang, Bin Cui
Then it diversifies the experts and continues to train the MoE with a novel Dense-to-Sparse gate (DTS-Gate).
1 code implementation • 29 Nov 2023 • Shicheng Li, Lei LI, Shuhuai Ren, Yuanxin Liu, Yi Liu, Rundong Gao, Xu sun, Lu Hou
The ability to perceive how objects change over time is a crucial ingredient in human intelligence.
1 code implementation • 25 May 2023 • Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
Circuit representation learning aims to obtain neural representations of circuit elements and has emerged as a promising research direction that can be applied to various EDA and logic reasoning tasks.
1 code implementation • 19 Mar 2020 • Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
Through extensive case studies on a real-world dataset, it is shown that FedGRU's prediction accuracy is 90. 96% higher than the advanced deep learning models, which confirm that FedGRU can achieve accurate and timely traffic prediction without compromising the privacy and security of raw data.
1 code implementation • 24 May 2021 • Yi Liu, LiMin Wang, Yali Wang, Xiao Ma, Yu Qiao
Temporal action localization (TAL) is an important and challenging problem in video understanding.
1 code implementation • 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 • 21 Oct 2022 • Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng
In this work, we define the task of Medical-domain Chinese Spelling Correction and propose MCSCSet, a large scale specialist-annotated dataset that contains about 200k samples.
Optical Character Recognition Optical Character Recognition (OCR) +1
1 code implementation • 15 May 2020 • Zekun Ren, Siyu Isaac Parker Tian, Juhwan Noh, Felipe Oviedo, Guangzong Xing, Jiali Li, Qiaohao Liang, Ruiming Zhu, Armin G. Aberle, Shijing Sun, Xiaonan Wang, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi
Realizing general inverse design could greatly accelerate the discovery of new materials with user-defined properties.
1 code implementation • 29 Mar 2024 • Chao Pang, Jiang Wu, Jiayu Li, Yi Liu, Jiaxing Sun, Weijia Li, Xingxing Weng, Shuai Wang, Litong Feng, Gui-Song Xia, Conghui He
The generic large Vision-Language Models (VLMs) is rapidly developing, but still perform poorly in Remote Sensing (RS) domain, which is due to the unique and specialized nature of RS imagery and the comparatively limited spatial perception of current VLMs.
1 code implementation • 1 Mar 2024 • Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei LI, Sishuo Chen, Xu sun, Lu Hou
Motivated by these two problems, we propose the \textbf{TempCompass} benchmark, which introduces a diversity of temporal aspects and task formats.
1 code implementation • 10 Feb 2023 • Hong Wang, Yuanzhi Zhou, Chi Zhang, Chen Peng, Mingxia Huang, Yi Liu, Lintao Zhang
This paper introduces XFL, an industrial-grade federated learning project.
1 code implementation • CVPR 2023 • Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu
When extracting object knowledge from PVLMs, the former adaptively transforms object proposals and adopts object-aware mask attention to obtain precise and complete knowledge of objects.
Ranked #14 on Open Vocabulary Object Detection on MSCOCO
1 code implementation • 24 Sep 2021 • Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
However, most existing KGE works focus on the design of delicate triple modeling function, which mainly tells us how to measure the plausibility of observed triples, but offers limited explanation of why the methods can extrapolate to unseen data, and what are the important factors to help KGE extrapolate.
Ranked #12 on Link Prediction on FB15k-237
1 code implementation • ICCV 2023 • Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao
Our method employs superpixels to cluster local similar pixels to form the explicable local regions and utilizes intra-superpixel attention to enable local information interaction.
1 code implementation • 6 Feb 2020 • Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian
In this paper, we perform a comprehensive survey of existing DL compilers by dissecting the commonly adopted design in details, with emphasis on the DL oriented multi-level IRs, and frontend/backend optimizations.
2 code implementations • 17 Nov 2022 • Guo Chen, Sen Xing, Zhe Chen, Yi Wang, Kunchang Li, Yizhuo Li, Yi Liu, Jiahao Wang, Yin-Dong Zheng, Bingkun Huang, Zhiyu Zhao, Junting Pan, Yifei HUANG, Zun Wang, Jiashuo Yu, Yinan He, Hongjie Zhang, Tong Lu, Yali Wang, LiMin Wang, Yu Qiao
In this report, we present our champion solutions to five tracks at Ego4D challenge.
Ranked #1 on State Change Object Detection on Ego4D
1 code implementation • 29 Feb 2024 • Yan Wang, Yi Liu, Shijie Zhao, Junlin Li, Li Zhang
To satisfy the rapidly increasing demands on the large image (2K-8K) super-resolution (SR), prevailing methods follow two independent tracks: 1) accelerate existing networks by content-aware routing, and 2) design better super-resolution networks via token mixer refining.
3 code implementations • 12 Oct 2022 • Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu
Furthermore, RAP can be naturally combined with many existing black-box attack techniques, to further boost the transferability.
2 code implementations • 23 Sep 2022 • Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
Our Matformer is designed to be invariant to periodicity and can capture repeating patterns explicitly.
Ranked #2 on Band Gap on JARVIS-DFT
1 code implementation • 12 Jun 2023 • Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
This is enabled by our approximations of infinite potential summations, where we extend the Ewald summation for several potential series approximations with provable error bounds.
Ranked #1 on Band Gap on Materials Project
1 code implementation • 17 Jul 2023 • Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences.
2 code implementations • ACL 2018 • Xiangyang Zhou, Lu Li, daxiang dong, Yi Liu, Ying Chen, Wayne Xin Zhao, dianhai yu, Hua Wu
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
Ranked #6 on Conversational Response Selection on RRS
2 code implementations • 6 Dec 2022 • Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, LiMin Wang, Yu Qiao
Specifically, InternVideo efficiently explores masked video modeling and video-language contrastive learning as the pretraining objectives, and selectively coordinates video representations of these two complementary frameworks in a learnable manner to boost various video applications.
Ranked #1 on Action Recognition on Something-Something V1 (using extra training data)
1 code implementation • ICLR 2022 • Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji
Based on such observations, we propose the spherical message passing (SMP) as a novel and powerful scheme for 3D molecular learning.
Ranked #3 on Drug Discovery on QM9
1 code implementation • 23 Mar 2021 • Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, Shuiwang Ji
Although there exist several libraries for deep learning on graphs, they are aiming at implementing basic operations for graph deep learning.
1 code implementation • 17 Jun 2022 • Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
To incorporate 3D information completely and efficiently, we propose a novel message passing scheme that operates within 1-hop neighborhood.
Ranked #4 on Drug Discovery on QM9
1 code implementation • 26 Jul 2022 • Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
In this work, we propose to develop a novel hierarchical graph network, known as ProNet, to capture the relations.
2 code implementations • 28 Nov 2023 • Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Yi Liu, Zun Wang, Jilan Xu, Guo Chen, Ping Luo, LiMin Wang, Yu Qiao
With the rapid development of Multi-modal Large Language Models (MLLMs), a number of diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities of these models.
Ranked #1 on Zero-Shot Video Question Answer on STAR Benchmark
1 code implementation • 15 Jan 2021 • Yi Liu, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai, Yuying Hao
The toolkit aims to help both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models.
3 code implementations • 20 Sep 2021 • Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai
In addition, with the proposed method, we develop an efficient interactive segmentation tool for practical data annotation tasks.
Ranked #2 on Interactive Segmentation on PASCAL VOC (NoC@85 metric)
1 code implementation • 14 Dec 2021 • Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong
This work is the first to construct a large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K fine-labeled frames and extensions to multi-camera teleconferencing.
3 code implementations • 6 Apr 2022 • Juncai Peng, Yi Liu, Shiyu Tang, Yuying Hao, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Zhiliang Yu, Yuning Du, Qingqing Dang, Baohua Lai, Qiwen Liu, Xiaoguang Hu, dianhai yu, Yanjun Ma
Real-world applications have high demands for semantic segmentation methods.
Ranked #4 on Real-Time Semantic Segmentation on Cityscapes val
1 code implementation • 20 Apr 2022 • Guowei Chen, Yi Liu, Jian Wang, Juncai Peng, Yuying Hao, Lutao Chu, Shiyu Tang, Zewu Wu, Zeyu Chen, Zhiliang Yu, Yuning Du, Qingqing Dang, Xiaoguang Hu, dianhai yu
Also, we propose a semantic context branch (SCB) that adopts a semantic segmentation subtask.
Ranked #4 on Image Matting on Distinctions-646
2 code implementations • 4 Jul 2022 • Xuhong LI, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
Though image classification datasets could provide the backbone networks with rich visual features and discriminative ability, they are incapable of fully pre-training the target model (i. e., backbone+segmentation modules) in an end-to-end manner.
1 code implementation • 17 Oct 2022 • Yuying Hao, Yi Liu, Yizhou Chen, Lin Han, Juncai Peng, Shiyu Tang, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai
In recent years, the rapid development of deep learning has brought great advancements to image and video segmentation methods based on neural networks.
1 code implementation • 11 Apr 2023 • Shiyu Tang, Ting Sun, Juncai Peng, Guowei Chen, Yuying Hao, Manhui Lin, Zhihong Xiao, Jiangbin You, Yi Liu
To address this issue, we propose PP-MobileSeg, a semantic segmentation model that achieves state-of-the-art performance on mobile devices.
2 code implementations • 4 Nov 2022 • Xinxin Wang, Guanzhong Wang, Qingqing Dang, Yi Liu, Xiaoguang Hu, dianhai yu
With multi-scale training and testing, PP-YOLOE-R-l and PP-YOLOE-R-x further improve the detection precision to 80. 02 and 80. 73 mAP.
Ranked #6 on Oriented Object Detection on DOTA 1.0
4 code implementations • 17 Apr 2023 • Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, Jie Chen
Our RT-DETR-R50 / R101 achieves 53. 1% / 54. 3% AP on COCO and 108 / 74 FPS on T4 GPU, outperforming previously advanced YOLOs in both speed and accuracy.
Ranked #5 on Real-Time Object Detection on MS COCO
1 code implementation • 11 Oct 2022 • Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, dianhai yu
For Table Recognition model, we utilize PP-LCNet, CSP-PAN and SLAHead to optimize the backbone module, feature fusion module and decoding module, respectively, which improved the table structure accuracy by 6\% with comparable inference speed.
Ranked #1 on Network Pruning on CIFAR-100 (Inference Time (ms) metric)