Wu, Di

66 publications

IJCAI 2025 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection over Data Streams Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu

AAAI 2025 ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling Jianan Jiang, Hao Tang, Zhilin Jiang, Weiren Yu, Di Wu

NeurIPS 2025 Calibrating Translation Decoding with Quality Estimation on LLMs Di Wu, Yibin Lei, Christof Monz

ICLR 2025 Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Sima'an

AISTATS 2025 Cost-Aware Optimal Pairwise Pure Exploration Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen

TMLR 2025 DRDT3: Diffusion-Refined Decision Test-Time Training Model Xingshuai Huang, Di Wu, Benoit Boulet

AAAI 2025 Fully-Scalable Massively Parallel Algorithm for K-Center with Outliers Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang, Jianxin Wang

IJCAI 2025 Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin

TMLR 2025 Goal-Conditioned Data Augmentation for Offline Reinforcement Learning Xingshuai Huang, Di Wu, Benoit Boulet

NeurIPS 2025 Greedy Sampling Is Provably Efficient for RLHF Di Wu, Chengshuai Shi, Jing Yang, Cong Shen

CVPRW 2025 LFTransMamba: A Hybrid Mamba-Transformer Model for Light Field Image Super-Resolution Kai Jin, Zeqiang Wei, Angulia Yang, Di Wu, Mingzhi Gao, Xiuzhuang Zhou

ICLR 2025 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

CLeaR 2025 MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi, Arnaud Zinflou, Di Wu, Benoit Boulet

CVPRW 2025 NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results Yingqian Wang, Zhengyu Liang, Fengyuan Zhang, Lvli Tian, Longguang Wang, Juncheng Li, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Di Wu, Mingzhi Gao, Xiuzhuang Zhou, Yue Yan, Yuaho Wang, Shuang Chen, Zeping Tian, Yizhi Hu, Yao Lu, Haosong Liu, Xiancheng Zhu, Huanqiang Zeng, Jianqing Zhu, Yifan Shi, Junhui Hou, Mingyang Yu, Zhijian Wu, Dingjiang Huang, Wenli Zheng, Zekai Xu, Huiyuan Fu, Heng Zhang, Zhijuan Huang, Hongyuan Yu, Zeke Zexi Hu, Haodong Chen, Vera Yuk Ying Chung, Xiaoming Chen, Zean Chen, Yeyao Chen, Gangyi Jiang, Haiyong Xu, Ting Luo, Guanglong Liao, Danhao Zhang, Siyu Zhang, Wendong Mao, Zhongfeng Wang, Sunita Arya, Abhishek Kumar Sinha, S. Manthira Moorthi, Hao Zhang, Hao Sheng, Da Yang, Zhenglong Cui, Shuai Wang, Haotian Zhang, Xingzheng Wang, Yuanbo Huang, Jiahao Lin, Yuhang Lin, Ahmed Salem, Ebrahem Elkady, Hatem Ibrahem, Jae-Won Suh, Hyun-Soo Kang, Changguang Wu, Hao Hou, Pengpeng Li, Peng Huang, Jiangxin Dong, Jinhui Tang

CVPRW 2025 NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: Methods and Results Xin Li, Kun Yuan, Bingchen Li, Fengbin Guan, Yizhen Shao, Zihao Yu, Xijun Wang, Yiting Lu, Wei Luo, Suhang Yao, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Yabin Zhang, Ao-Xiang Zhang, Tianwu Zhi, Jianzhao Liu, Yang Li, Jingwen Xu, Yiting Liao, Yushen Zuo, Mingyang Wu, Renjie Li, Shengyun Zhong, Zhengzhong Tu, Yufan Liu, Xiangguang Chen, Zuowei Cao, Minhao Tang, Shan Liu, Kexin Zhang, Jingfen Xie, Yan Wang, Kai Chen, Shijie Zhao, Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Ying Liang, Yiwen Wang, Xinning Chai, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Rong Xie, Li Song, Wei Sun, Kang Fu, Linhan Cao, Dandan Zhu, Kaiwei Zhang, Yucheng Zhu, Zicheng Zhang, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Zhi Jin, Jiawei Wu, Wei Wang, Wenjian Zhang, Yuhai Lan, Gaoxiong Yi, Hengyuan Na, Wang Luo, Di Wu, Mingyin Bai, Jiawang Du, Zilong Lu, Zhenyu Jiang, Hui Zeng, Ziguan Cui, Zongliang Gan, Guijin Tang, Xinglin Xie, Kehuan Song, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen, Ha Thu Nguyen, Katrien De Moor, Seyed Ali Amirshahi, Mohamed-Chaker Larabi, Qi Tang, Linfeng He, Zhiyong Gao, Zixuan Gao, Guohua Zhang, Zhiye Huang, Yi Deng, Qingmiao Jiang, Lu Chen, Yi Yang, Xi Liao, Nourine Mohammed Nadir, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Meiqin Liu, Chao Yao, Yao Zhao

NeurIPS 2025 REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints Di Wu, Liu Liu, Zhou Linli, Anran Huang, Liangtu Song, Qiaojun Yu, Qi Wu, Cewu Lu

CVPR 2025 Sampling Innovation-Based Adaptive Compressive Sensing Zhifu Tian, Tao Hu, Chaoyang Niu, Di Wu, Shu Wang

NeurIPS 2025 Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu

ICLR 2025 Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang, Jie Yang, Mohamad Sawan

IJCAI 2024 BADFSS: Backdoor Attacks on Federated Self-Supervised Learning Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long

ICLR 2024 Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses Chuanqing Wang, Di Wu, Chaoming Fang, Jie Yang, Mohamad Sawan

ICLR 2024 FedInverse: Evaluating Privacy Leakage in Federated Learning Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar

ICML 2024 FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng

IJCAI 2024 FedTAD: Topology-Aware Data-Free Knowledge Distillation for Subgraph Federated Learning Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li

ICML 2024 FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet

NeurIPSW 2024 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

AAAI 2024 MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo

IJCAI 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang

ICLR 2024 MogaNet: Multi-Order Gated Aggregation Network Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

AAAI 2024 Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu

ICML 2024 Repoformer: Selective Retrieval for Repository-Level Code Completion Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma

NeurIPS 2024 Robot Policy Learning with Temporal Optimal Transport Reward Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet

IJCAI 2024 Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling Di Wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin

ICML 2024 VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li

ICML 2023 Architecture-Agnostic Masked Image Modeling -- from ViT Back to CNN Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li

IJCAI 2023 BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng

AAAI 2023 DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang

IJCAI 2023 FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

JMLR 2023 Gap Minimization for Knowledge Sharing and Transfer Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

TMLR 2023 Lightweight Learner for Shared Knowledge Lifelong Learning Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti

ICMLW 2023 Lightweight Learner for Shared Knowledge Lifelong Learning Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti

ECML-PKDD 2023 MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo

AAAI 2023 Online Semi-Supervised Learning with Mix-Typed Streaming Features Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

CVPR 2023 Relightable Neural Human Assets from Multi-View Gradient Illuminations Taotao Zhou, Kai He, Di Wu, Teng Xu, Qixuan Zhang, Kuixiang Shao, Wenzheng Chen, Lan Xu, Jingyi Yu

ICCV 2023 Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes Di Wu, Pengfei Chen, Xuehui Yu, Guorong Li, Zhenjun Han, Jianbin Jiao

CVPR 2023 ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling Xinglin Li, Jiajing Chen, Jinhui Ouyang, Hanhui Deng, Senem Velipasalar, Di Wu

NeurIPS 2022 A Closer Look at Offline RL Agents Yuwei Fu, Di Wu, Benoit Boulet

ECCV 2022 AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li

IJCAI 2022 Constrained Adaptive Projection with Pretrained Features for Anomaly Detection Xingtai Gui, Di Wu, Yang Chang, Shicai Fan

ECCV 2022 DLME: Deep Local-Flatness Manifold Embedding Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CVPR 2022 Object Localization Under Single Coarse Point Supervision Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han

AAAI 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting Yuwei Fu, Di Wu, Benoit Boulet

NeurIPSW 2021 Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang, Weihao Gao, Di Wu, Chong Wang

IJCAI 2021 Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks Weixuan Lin, Di Wu

CVPRW 2019 6d-VNet: End-to-End 6-DoF Vehicle Pose Estimation from Monocular RGB Images Di Wu, Zhaoyong Zhuang, Canqun Xiang, Wenbin Zou, Xia Li

IJCAI 2019 Online Learning from Capricious Data Streams: A Generative Approach Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu

AAAI 2018 Introducing AI to Undergraduate Students via Computer Vision Projects Kaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu

ECML-PKDD 2017 Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting Di Wu, Boyu Wang, Doina Precup, Benoit Boulet

CVPRW 2017 Kernalised Multi-Resolution Convnet for Visual Tracking Di Wu, Wenbin Zou, Xia Li, Yong Zhao

AAAI 2017 Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu

ECCVW 2014 Deep Dynamic Neural Networks for Gesture Segmentation and Recognition Di Wu, Ling Shao

CVPR 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition Di Wu, Ling Shao

ECCVW 2014 Multi-Modality Gesture Detection and Recognition with Un-Supervision, Randomization and Discrimination Guang Chen, Daniel Clarke, Manuel Giuliani, Andre Gaschler, Di Wu, David Weikersdorfer, Alois C. Knoll

CVPR 2012 Decomposing Global Light Transport Using Time of Flight Imaging Di Wu, Matthew O'Toole, Andreas Velten, Amit K. Agrawal, Ramesh Raskar

ECCV 2012 Frequency Analysis of Transient Light Transport with Applications in Bare Sensor Imaging Di Wu, Gordon Wetzstein, Christopher Barsi, Thomas Willwacher, Matthew O'Toole, Nikhil Naik, Qionghai Dai, Kyros Kutulakos, Ramesh Raskar

CVPRW 2012 One Shot Learning Gesture Recognition from RGBD Images Di Wu, Fan Zhu, Ling Shao