Li, Dong

99 publications

AAAI 2025 A Lottery Ticket Hypothesis Approach with Sparse Fine-Tuning and MAE for Image Forgery Detection and Localization Jiaying Zhu, Dong Li, Xueyang Fu, Gege Shi, Jie Xiao, Aiping Liu, Zheng-Jun Zha

ICLRW 2025 ARIES: Stimulating Self-Refinement of Large Language Models with and for Iterative Preference Optimization Yongcheng Zeng, Xuanfa Jin, Guoqing Liu, Quan He, Dong Li, Jianye Hao, Haifeng Zhang, Jun Wang

ICML 2025 BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation Lian Liu, Xiandong Zhao, Guanchen Li, Dong Li, Mengdi Wang, Yinhe Han, Xiaowei Li, Ying Wang

NeurIPS 2025 Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi

IJCAI 2025 CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv

CVPR 2025 CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu

ICCV 2025 Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion Yidi Liu, Dong Li, Yuxin Ma, Jie Huang, Wenlong Zhang, Xueyang Fu, Zheng-Jun Zha

AAAI 2025 DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration Yidi Liu, Dong Li, Jie Xiao, Yuanfei Bao, Senyan Xu, Xueyang Fu

AAAI 2025 EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene Yixiong Huo, Guangfeng Jiang, Hongyang Wei, Ji Liu, Song Zhang, Han Liu, Xingliang Huang, Mingjie Lu, Jinzhang Peng, Dong Li, Lu Tian, Emad Barsoum

ICCV 2025 Enhanced Pansharpening via Quaternion Spatial-Spectral Interactions Dong Li, Chunhui Luo, Yuanfei Bao, Gang Yang, Jie Xiao, Xueyang Fu, Zheng-Jun Zha

CVPRW 2025 EvenFormer: Dynamic Even Transformer for Real-World Image Restoration Xin Lu, Yuanfei Bao, Jiarong Yang, Anya Hu, Jie Xiao, Kunyu Wang, Dong Li, Senyan Xu, Kean Liu, Xueyang Fu, Zheng-Jun Zha

IJCAI 2025 FADE: Towards Fairness-Aware Data Generation for Domain Generalization via Classifier-Guided Score-Based Diffusion Models Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao

AAAI 2025 Fast and Slow Gradient Approximation for Binary Neural Network Optimization Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li

ICML 2025 FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining Dong Li, Yidi Liu, Xueyang Fu, Jie Huang, Senyan Xu, Qi Zhu, Zheng-Jun Zha

ICCV 2025 FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Hang Xu, Jie Huang, Linjiang Huang, Dong Li, Yidi Liu, Feng Zhao

CVPRW 2025 Frequency-Prior Enhanced Ambient Lighting Normalization via Visual Perceptual Refinement Yuanfei Bao, Xin Lu, Xingbo Wang, Jiarong Yang, Anya Hu, Kunyu Wang, Jie Xiao, Dong Li, Xueyang Fu, Zheng-Jun Zha

JMLR 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang

ICML 2025 Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

TMLR 2025 LASP: Linear Attention Sequence Parallelism Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

NeurIPS 2025 Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement Yidi Liu, Xueyang Fu, Jie Huang, Jie Xiao, Dong Li, Wenlong Zhang, Lei Bai, Zheng-Jun Zha

IJCAI 2025 Learnable Frequency Decomposition for Image Forgery Detection and Localization Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha

CVPR 2025 Less Is More: Efficient Model Merging with Binary Task Switch Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou

NeurIPS 2025 MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions Pucheng Dang, Di Huang, Dong Li, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu

TMLR 2025 Multi-Modal Foundation Models for Computational Pathology: A Survey Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K Sorger, Chen Zhao

CVPRW 2025 NTIRE 2025 Ambient Lighting Normalization Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Radu Timofte, Yuanfei Bao, Xingbo Wang, Xin Lu, Jiarong Yang, Anya Hu, Kunyu Wang, Jie Xiao, Dong Li, Xueyang Fu, Zheng-Jun Zha, Zihao Fan, Xi Wang, Yurui Zhu, Kean Liu, Senyan Xu, Hongjian Liu, Yupeng Xiao, David Serrano-Lozano, Francisco A. Molina-Bakhos, Danna Xue, Yixiong Yang, Maria Pilligua, Ramon Baldrich, María Vanrell, Javier Vazquez-Corral, Xuan Sun, Zijie Lou, Ting Liu, Kuldeep Purohit, Jameer Babu Pinjari, Yilin Zhang, Huan Zheng, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Zhao Zhang, Yushen Zuo, Zongqi He, Zhe Xiao, Cuixin Yang, Rongkang Dong, Jun Xiao, Kin-Man Lam, Nikhil Akalwadi, Vijayalaxmi Ashok Aralikatti, Dheeraj Damodhar Hegde, Ramesh Ashok Tabib, Uma Mudenagudi, Anas M. Ali, Bilel Benjdira, Wadii Boulila

CVPRW 2025 NTIRE 2025 Image Shadow Removal Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Cailian Chen, Zongwei Wu, Radu Timofte, Mingjia Li, Jin Hu, Hainuo Wang, Hengxing Liu, Jiarui Wang, Qiming Hu, Xiaojie Guo, Xin Lu, Jiarong Yang, Yuanfei Bao, Anya Hu, Zihao Fan, Kunyu Wang, Jie Xiao, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Yu-Fan Lin, Chia-Ming Lee, Chih-Chung Hsu, Xingbo Wang, Dong Li, Yuxu Chen, Bin Chen, Yuanbo Zhou, Yuanbin Chen, Hongwei Wang, Jiannan Lin, Qinquan Gao, Tong Tong, Zhao Zhang, Yanyan Wei, Wei Dong, Han Zhou, Seyed Amirreza Mousavi, Jun Chen, Haobo Liang, Jiajie Jing, Junyu Li, Yan Yang, Seoyeon Lee, Chaewon Kim, Ziyu Feng, Shidi Chen, Bowen Luan, Zewen Chen, Vijayalaxmi Ashok Aralikatti, G. Gyaneshwar Rao, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Alexandru Brateanu, Cosmin Ancuti, Tanmay Chaturvedi, Manish Kumar, Anmol Srivastav, Daksh Trivedi, Shashwat Thakur, Kishor P. Upla, Zeyu Xiao, Zhuoyuan Li, Boda Zhou, Shashank Shekhar, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Suiyi Zhao, Bo Wang, Yan Luo, Mingshen Wang, Yilin Zhang

IJCAI 2025 PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening Chunhui Luo, Dong Li, Xiaoliang Ma, Xin Lu, Zhiyuan Wang, Jiangtong Tan, Xueyang Fu

CVPR 2025 Pursuing Temporal-Consistent Video Virtual Try-on via Dynamic Pose Interaction Dong Li, Wenqi Zhong, Wei Yu, Yingwei Pan, Dingwen Zhang, Ting Yao, Junwei Han, Tao Mei

CVPR 2025 ReNeg: Learning Negative Embedding with Reward Guidance Xiaomin Li, Yixuan Liu, Takashi Isobe, Xu Jia, Qinpeng Cui, Dong Zhou, Dong Li, You He, Huchuan Lu, Zhongdao Wang, Emad Barsoum

IJCAI 2025 Reinforced In-Context Black-Box Optimization Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

NeurIPS 2025 SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen

ECML-PKDD 2025 Two-Stage Temporal Knowledge Graph Completion Based on Reinforcement Learning Dong Li, Yong Wei, Xinyi Dong, Jingyou Sun, LinLin Ding, Yue Kou

NeurIPS 2025 Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization Guanchen Li, Yixing Xu, Zeping Li, Ji Liu, Xuanwu Yin, Dong Li, Emad Barsoum

CVPR 2025 UHD-Processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-Aware Prompts Yidi Liu, Dong Li, Xueyang Fu, Xin Lu, Jie Huang, Zheng-Jun Zha

MLJ 2024 A Survey on Interpretable Reinforcement Learning Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

NeurIPS 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi

ICLR 2024 CO2: Efficient Distributed Training with Full Communication-Computation Overlap Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

AAAI 2024 CatmullRom Splines-Based Regression for Image Forgery Localization Li Zhang, Mingliang Xu, Dong Li, Jianming Du, Rujing Wang

AAAI 2024 DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

NeurIPS 2024 DiP-GO: A Diffusion Pruner via Few-Step Gradient Optimization Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Junhai Yong, Bin Wang, Emad Barsoum

ICML 2024 Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao, Emad Barsoum

NeurIPS 2024 FinBen: A Holistic Financial Benchmark for Large Language Models Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

NeurIPS 2024 FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie

ICML 2024 HarmonyDream: Task Harmonization Inside World Models Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long

CVPRW 2024 HirFormer: Dynamic High Resolution Transformer for Large-Scale Image Shadow Removal Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Xueyang Fu, Zheng-Jun Zha

CVPR 2024 HomoFormer: Homogenized Transformer for Image Shadow Removal Jie Xiao, Xueyang Fu, Yurui Zhu, Dong Li, Jie Huang, Kai Zhu, Zheng-Jun Zha

CVPR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou

CVPR 2024 Interactive Continual Learning: Fast and Slow Thinking Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

AAAI 2024 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha

NeurIPSW 2024 Linear Attention Sequence Parallelism Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

AAAI 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng

CVPRW 2024 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C

CVPRW 2024 NTIRE 2024 Image Shadow Removal Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, Yuqiong Tian, Jun Chen, Xueyang Fu, Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Zheng-Jun Zha, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Yanyan Wei, Zhihao Zhao, Long Sun, Tingting Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bilel Benjdira, Mohammed Nassif, Anis Koubaa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, Ritik Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jaeho Lee, Seongwan Kim, Sma Sharif, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Anil Gonde, Arun karthik K, Manasa N, Shri Hari Priya, Wei Hao, Xingzhuo Yan, Minghan Fu

ECCV 2024 Noise-Assisted Prompt Learning for Image Forgery Detection and Localization Dong Li, Jiaying Zhu, Xueyang Fu, Xun Guo, Yidi Liu, Gang Yang, Jiawei Liu, Zheng-Jun Zha

AAAI 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao

NeurIPS 2024 QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Emad Barsoum

ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

CVPRW 2024 Shadow Removal via Global Residual Free UNet and Shadow Generation Dong Li, Xin Lu, Yurui Zhu, Xi Wang, Jie Xiao, Yunpeng Zhang, Xueyang Fu, Zheng-Jun Zha

IJCAI 2024 Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian

IJCAI 2024 Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian

CVPRW 2024 Two Stage Dehazing Framework for Dense and Non-Homogeneous Dehazing Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Dong Li, Yun Zhang

AAAI 2024 UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao

ICML 2024 Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong

NeurIPS 2024 iVideoGPT: Interactive VideoGPTs Are Scalable World Models Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long

ICLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang

TMLR 2023 Differentiable Logic Machines Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

CVPR 2023 Edge-Aware Regional Message Passing Controller for Image Forgery Localization Dong Li, Jiaying Zhu, Menglu Wang, Jiawei Liu, Xueyang Fu, Zheng-Jun Zha

ICCV 2023 FDViT: Improve the Hierarchical Architecture of Vision Transformer Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao

CVPR 2023 Fine-Grained Audible Video Description Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong

NeurIPS 2023 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang

ICLRW 2023 Prototypical Context-Aware Dynamics Generalization for High-Dimensional Model-Based Reinforcement Learning Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng

ICLR 2023 Toeplitz Neural Network for Sequence Modeling Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong

AAAI 2023 Towards Reliable Item Sampling for Recommendation Evaluation Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu

AAAI 2022 Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan

CVPR 2022 Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan

CVPR 2022 Dynamic Sparse R-CNN Qinghang Hong, Fengming Liu, Dong Li, Ji Liu, Lu Tian, Yi Shan

CVPRW 2022 Efficient Image Super-Resolution with Collapsible Linear Blocks Li Wang, Dong Li, Lu Tian, Yi Shan

ICML 2022 Learning Pseudometric-Based Action Representations for Offline Reinforcement Learning Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An

ICLR 2022 Learning State Representations via Retracing in Reinforcement Learning Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess

ICML 2022 Neuro-Symbolic Hierarchical Rule Induction Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao

NeurIPS 2022 Versatile Multi-Stage Graph Neural Network for Circuit Representation Shuwen Yang, Zhihao Yang, Dong Li, Yingxueff Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao

AAAI 2022 What About Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

NeurIPS 2021 Adaptive Online Packing-Guided Search for POMDPs Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao

NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang

AAAI 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via an Efficient Task Encoder (Student Abstract) Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu

ICCV 2021 Improving Low-Precision Network Quantization via Bin Regularization Tiantian Han, Dong Li, Ji Liu, Lu Tian, Yi Shan

AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu

AAAI 2021 On Estimating Recommendation Evaluation Metrics Under Sampling Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu

CVPR 2021 RankDetNet: Delving into Ranking Constraints for Object Detection Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan

CVPR 2021 Representing Videos as Discriminative Sub-Graphs for Action Recognition Dong Li, Zhaofan Qiu, Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei

ICCV 2021 Towards Discriminative Representation Learning for Unsupervised Person Re-Identification Takashi Isobe, Dong Li, Lu Tian, Weihua Chen, Yi Shan, Shengjin Wang

AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: An Approach Based on Contrastive Learning Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

NeurIPS 2020 HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory Jie Ren, Minjia Zhang, Dong Li

AAAI 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

ECCV 2020 ProgressFace: Scale-Aware Progressive Learning for Face Detection Jiashu Zhu, Dong Li, Tiantian Han, Lu Tian, Yi Shan

ECCV 2018 Recurrent Tubelet Proposal and Recognition Networks for Action Detection Dong Li, Zhaofan Qiu, Qi Dai, Ting Yao, Tao Mei

ECCV 2016 Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints Dong Li, Wei-Chih Hung, Jia-Bin Huang, Shengjin Wang, Narendra Ahuja, Ming-Hsuan Yang

CVPR 2016 Weakly Supervised Object Localization with Progressive Domain Adaptation Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang