Dongsheng Li

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 119

Top Venues

Publications

Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li
A Large-scale Medical Visual Task Adaptation Benchmark. CoRR (2024)
Hanchi Sun, Xiaohong Liu, Xinyang Jiang, Yifei Shen, Dongsheng Li, Xiongkuo Min, Guangtao Zhai
Compression-Realized Deep Structural Network for Video Quality Enhancement. CoRR (2024)
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. CoRR (2024)
Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu
LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. CoRR (2024)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. ACL (1) (2024)
Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li
Improving Large Language Models in Event Relation Logical Prediction. ACL (1) (2024)
Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR (2024)
William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
Addressing Signal Delay in Deep Reinforcement Learning. ICLR (2024)
Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao
Learning Domain Invariant Prompt for Vision-Language Models. IEEE Trans. Image Process. 33 (2024)
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Neural Kalman Filtering for Robust Temporal Recommendation. WSDM (2024)
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms. CoRR (2024)
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. CoRR (2024)
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
Training-free Multi-objective Diffusion Model for 3D Molecule Generation. ICLR (2024)
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. CoRR (2024)
Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu
AOTree: Aspect Order Tree-based Model for Explainable Recommendation. CoRR (2024)
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. EACL (1) (2024)
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. CoRR (2024)
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
Automated Contrastive Learning Strategy Search for Time Series. CoRR (2024)
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. CoRR (2024)
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
CNN Kernels Can Be the Best Shapelets. ICLR (2024)
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. CoRR (2024)
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD (2024)
Guanghao Yin, Zefan Qu, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu
Online Streaming Video Super-Resolution With Convolutional Look-Up Table. IEEE Trans. Image Process. 33 (2024)
Wenli Sun, Xinyang Jiang, Dongsheng Li, Cairong Zhao
DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World. CoRR (2024)
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Hierarchical Graph Signal Processing for Collaborative Filtering. WWW (2024)
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW (2023)
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CIKM (2023)
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition. ICASSP (2023)
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. CIKM (2023)
Haodong Liu, Bo Yang, Dongsheng Li
Graph Collaborative Filtering Based on Dual-Message Propagation Mechanism. IEEE Trans. Cybern. 53 (1) (2023)
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI (2023)
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
Unsupervised Video Anomaly Detection For Stereotypical Behaviours in Autism. ICASSP (2023)
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer's Disease Detection. ICASSP (2023)
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Habits and goals in synergy: a variational Bayesian framework for behavior. CoRR (2023)
Yihu Zhang, Bo Yang, Haodong Liu, Dongsheng Li
A time-aware self-attention based neural network model for sequential recommendation. Appl. Soft Comput. 133 (2023)
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face. NeurIPS (2023)
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. CoRR (2023)
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
SIMPLE: Specialized Model-Sample Matching for Domain Generalization. ICLR (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. SIGIR (2023)
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
Explaining Temporal Graph Models through an Explorer-Navigator Framework. ICLR (2023)
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
TaskBench: Benchmarking Large Language Models for Task Automation. CoRR (2023)
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR (2023)
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. CoRR (2023)
Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables. CoRR (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Jiongran Wu, Peng Zhang, Li Shang, Ning Gu
Recommendation Unlearning via Matrix Correction. CoRR (2023)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. CoRR (2023)
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. INTERSPEECH (2023)
Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark. ICLR (2023)
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Personalized Graph Signal Processing for Collaborative Filtering. WWW (2023)
Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. CoRR (2023)
Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. CoRR (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR (2023)
Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR (2023)
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. ICLR (2023)
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
Online Video Super-Resolution With Convolutional Kernel Bypass Grafts. IEEE Trans. Multim. 25 (2023)
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
Towards Inference Efficient Deep Ensemble Learning. AAAI (2023)
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
DiffusionNER: Boundary Diffusion for Named Entity Recognition. ACL (1) (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. CoRR (2023)
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
Label Propagation for Graph Label Noise. CoRR (2023)
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
DiffusionNER: Boundary Diffusion for Named Entity Recognition. CoRR (2023)
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR (2023)
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML (2023)
Eric Qu, Xufang Luo, Dongsheng Li
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. ICLR (2023)
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. CoRR (2023)
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. CoRR (2023)
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR (2022)
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
FIRE: Fast Incremental Recommendation with Graph Signal Processing. WWW (2022)
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. CoRR (2022)
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
Accurate and Explainable Recommendation via Review Rationalization. WWW (2022)
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
Invariant Information Bottleneck for Domain Generalization. AAAI (2022)
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. DASFAA (2) (2022)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. CoRR (2022)
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. KDD (2022)
Yifan Liang, Zongzheng Zou, Peng Zhang, Dongsheng Li, Tun Lu, Ning Gu
Team Formation and Task Recommendation for Disabled People in Crowdsourcing Systems. CSCWD (2022)
Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Sharon Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (4) (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI (2022)
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. NeurIPS (2022)
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. IEEE Trans. Multim. 24 (2022)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Parameter-free Dynamic Graph Embedding for Link Prediction. NeurIPS (2022)
Ziyue Li, Kan Ren, Xinyang Jiang, Bo Li, Haipeng Zhang, Dongsheng Li
Domain Generalization using Pretrained Models without Fine-tuning. CoRR (2022)
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
Neural Piecewise-Constant Delay Differential Equations. AAAI (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR (2022)
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang
Recursive Disentanglement Network. ICLR (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS (2022)
Cizhou Yu, Dongsheng Li, Tun Lu, Yichuan Jiang
Popularity Bias Analysis of Recommendation Algorithm Based on ABM Simulation. ChineseCSCW (1) (2022)
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. NeurIPS (2022)
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS (2022)
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. CoRR (2021)
Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu
Mixture Matrix Approximation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. CoRR (2021)
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
Recognizing Vector Graphics without Rasterization. NeurIPS (2021)
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS (2021)
Bo Yang, Hui Liu, Jicheng Lei, Dongsheng Li, Peng Wang
A Review Construction-based Approach to Collaborative Filtering. CSCWD (2021)
Weizhao Tang, Tun Lu, Dongsheng Li, Hansu Gu, Ning Gu
Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering. IEEE Access 8 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dongsheng Li