Zhang, Lu

55 publications

TMLR 2026 Algorithmic Recourse in Abnormal Multivariate Time Series Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

ICLR 2025 A Causal Lens for Learning Long-Term Fair Policies Jacob Lear, Lu Zhang

CVPR 2025 Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception Yuanchen Wu, Lu Zhang, Hang Yao, Junlong Du, Ke Yan, Shouhong Ding, Yunsheng Wu, Xiaoqiang Li

AAAI 2025 Bootstraping Clustering of Gaussians for View-Consistent 3D Scene Understanding Wenbo Zhang, Lu Zhang, Ping Hu, Liqian Ma, Yunzhi Zhuge, Huchuan Lu

NeurIPS 2025 FineRS: Fine-Grained Reasoning and Segmentation of Small Objects with Reinforcement Learning Lu Zhang, Jiazuo Yu, Haomiao Xiong, Ping Hu, Yunzhi Zhuge, Huchuan Lu, You He

ICML 2025 GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Muleilan Pei, Shaoshuai Shi, Lu Zhang, Peiliang Li, Shaojie Shen

ICML 2025 Optimal Information Retention for Time-Series Explanations Jinghang Yue, Jing Wang, Lu Zhang, Shuo Zhang, Da Li, Zhaoyang Ma, Youfang Lin

AISTATS 2025 Posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson, Jakob Torgander, Paul-Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari

ICLR 2025 Root Cause Analysis of Anomalies in Multivariate Time Series Through Granger Causal Discovery Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan

ICLR 2025 Streaming Video Understanding and Multi-Round Interaction with Memory-Enhanced Knowledge Haomiao Xiong, Zongxin Yang, Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Jiawen Zhu, Huchuan Lu

CVPR 2025 The Devil Is in Temporal Token: High Quality Video Reasoning Segmentation Sitong Gong, Yunzhi Zhuge, Lu Zhang, Zongxin Yang, Pingping Zhang, Huchuan Lu

CVPR 2025 Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Hengtao Shen, Xiaofeng Zhu

CVPR 2024 Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, You He

ICML 2024 Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Lu Zhang, Yue Yu

NeurIPS 2024 LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen

AAAI 2024 Long-Term Fair Decision Making Through Deep Generative Models Yaowei Hu, Yongkai Wu, Lu Zhang

ICLR 2024 Neural Atoms: Propagating Long-Range Interaction in Molecular Graphs Through Efficient Communication Channel Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

AAAI 2024 Weakly Supervised Few-Shot Object Detection with DETR Chenbo Zhang, Yinglu Zhang, Lu Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou

AAAI 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian

NeurIPSW 2023 Long-Range Neural Atom Learning for Molecular Graphs Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

ICCV 2023 Meta-ZSDETR: Zero-Shot DETR with Meta-Learning Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou

ICCVW 2023 The First Visual Object Tracking Segmentation VOTS2023 Challenge Results Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

IJCAI 2023 Video Diffusion Models with Local-Global Context Guidance Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He

AAAI 2022 Achieving Counterfactual Fairness for Causal Bandit Wen Huang, Lu Zhang, Xintao Wu

AAAI 2022 Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu, Lu Zhang

AAAI 2022 Generalized Equivariance and Preferential Labeling for GNN Node Classification Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang

IJCAI 2022 Grape: Grammar-Preserving Rule Embedding Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang

IJCAI 2022 Lyra: A Benchmark for Turducken-Style Code Generation Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang

IJCAI 2022 Next Point-of-Interest Recommendation with Inferring Multi-Step Future Preferences Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu

JMLR 2022 Pathfinder: Parallel Quasi-Newton Variational Inference Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari

AAAI 2022 You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu

AAAI 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

CVPR 2021 Accurate Few-Shot Object Detection with Support-Query Mutual Guidance and Hybrid Loss Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

ICLRW 2021 Conditional Coding for Flexible Learned Video Compression Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges

IJCAI 2021 Conditional Self-Supervised Learning for Few-Shot Classification Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang

NeurIPS 2021 DP-SSL: Towards Robust Semi-Supervised Learning with a Few Labeled Samples Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou

ICCV 2021 Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation Shu Yang, Lu Zhang, Jinqing Qi, Huchuan Lu, Shuo Wang, Xiaoxing Zhang

IJCAI 2020 An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-Ins Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner

NeurIPS 2020 Fair Multiple Decision Making Through Soft Interventions Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

IJCAI 2020 NLocalSAT: Boosting Local Search with Solution Prediction Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang

AAAI 2020 TreeGen: A Tree-Based Transformer Architecture for Code Generation Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang

ECCV 2020 Unsupervised Video Object Segmentation with Joint Hotspot Tracking Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He

AAAI 2019 A Grammar-Based Structural CNN Decoder for Code Generation Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang

IJCAI 2019 Achieving Causal Fairness Through Generative Adversarial Networks Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu

IJCAI 2019 Counterfactual Fairness: Unidentification, Bound and Algorithm Yongkai Wu, Lu Zhang, Xintao Wu

NeurIPS 2019 PC-Fairness: A Unified Framework for Measuring Causality-Based Fairness Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong

IJCAI 2018 Achieving Non-Discrimination in Prediction Lu Zhang, Yongkai Wu, Xintao Wu

WACV 2018 Crowd Counting via Scale-Adaptive Convolutional Neural Network Lu Zhang, Miaojing Shi, Qiaobo Chen

IJCAI 2017 A Causal Framework for Discovering and Removing Direct and Indirect Discrimination Lu Zhang, Yongkai Wu, Xintao Wu

CVPR 2016 Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups from Static Images Lu Zhang, Hayley Hung

AAAI 2016 Convolutional Neural Networks over Tree Structures for Programming Language Processing Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin

IJCAI 2016 Situation Testing-Based Discrimination Discovery: A Causal Inference Approach Lu Zhang, Yongkai Wu, Xintao Wu

CVPRW 2014 On Fast Trackers That Are Robust to Partial Occlusions Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten

CVPR 2014 Speeding up Tracking by Ignoring Features Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten

CVPR 2013 Structure Preserving Object Tracking Lu Zhang, Laurens van der Maaten