Lu, Wei

50 publications

MLJ 2026 Low-Light Scene Text Image Enhancement in the Wild Haiyang Yu, Wei Lu, Yinglian Zhu, Ke Niu, Xiangyang Xue, Bin Li

NeurIPS 2025 Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network Dahao Xu, Jiahua Rao, Mingming Zhu, Jixian Zhang, Wei Lu, Shuangjia Zheng, Yuedong Yang

ICCV 2025 ChatReID: Open-Ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models Ke Niu, Haiyang Yu, Mengyang Zhao, Teng Fu, Siyang Yi, Wei Lu, Bin Li, Xuelin Qian, Xiangyang Xue

TMLR 2025 FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu

AAAI 2025 GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection Xiaocan Chen, Qilin Yin, Jiarui Liu, Wei Lu, Xiangyang Luo, Jiantao Zhou

AAAI 2025 Interweaving Memories of a Siamese Large Language Model Xin Song, Zhikai Xue, Guoxiu He, Jiawei Liu, Wei Lu

AAAI 2025 Joint Knowledge Editing for Information Enrichment and Probability Promotion Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du

NeurIPS 2025 No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Kai Tang, Pengfei Hu, Zhe Zhao, Wei Lu, Xiaoyong Du

AAAI 2025 Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu

AAAI 2025 RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection Xinquan Yu, Ziqi Sheng, Wei Lu, Xiangyang Luo, Jiantao Zhou

AAAI 2025 SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints Ziqi Sheng, Wei Lu, Xiangyang Luo, Jiantao Zhou, Xiaochun Cao

ICML 2025 Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan

TMLR 2025 Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

IJCAI 2025 Weakly-Supervised Audio Temporal Forgery Localization via Progressive Audio-Language Co-Learning Network Junyan Wu, Wenbo Xu, Wei Lu, Xiangyang Luo, Rui Yang, Shize Guo

NeurIPSW 2024 AlphaFold3, a Secret Sauce for Predicting Mutational Effects on Protein-Protein Interactions Wei Lu, Jixian Zhang, Jiahua Rao, Zhongyue Zhang, Shuangjia Zheng

NeurIPSW 2024 BindingGYM: A Large-Scale Mutational Dataset Toward Deciphering Protein-Protein Interactions Wei Lu, Jixian Zhang, Ming Gu, Shuangjia Zheng

CVPR 2024 Constrained Layout Generation with Factor Graphs Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee

IJCAI 2024 G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang

TMLR 2024 Generative Models Are Self-Watermarked: Declaring Model Authentication Through Re-Generation Aditya Desu, Xuanli He, Qiongkai Xu, Wei Lu

AAAI 2023 AIO-P: Expanding Neural Performance Predictors Beyond Image Classification Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui

NeurIPS 2023 AutoGO: Automated Computation Graph Optimization for Neural Network Evolution Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu

NeurIPSW 2023 DynamicBind: Predicting Ligand-Specific Protein-Ligand Complex Structure with a Deep Equivariant Generative Model Wei Lu, Jixian Zhang, Huang Weifeng, Ziqiao Zhang, Chengtao Li, Shuangjia Zheng

AAAI 2023 GENNAPE: Towards Generalized Neural Architecture Performance Estimators Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu

NeurIPSW 2023 Learning Multi-Step Reasoning by Solving Arithmetic Tasks Tianduo Wang, Wei Lu

CVPR 2023 MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos Zicheng Zhang, Wei Wu, Wei Sun, Danyang Tu, Wei Lu, Xiongkuo Min, Ying Chen, Guangtao Zhai

ICLR 2022 Learning Guarantees for Graph Convolutional Networks on the Stochastic Block Model Wei Lu

AAAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

NeurIPS 2022 TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng

IJCAI 2021 Generative Adversarial Neural Architecture Search Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui

CVPR 2021 Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu

ICML 2021 Mixed Cross Entropy Loss for Neural Machine Translation Haoran Li, Wei Lu

ICCVW 2021 The Ninth Visual Object Tracking VOT2021 Challenge Results Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

AAAI 2021 Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu

AAAI 2020 Adversarial Deep Network Embedding for Cross-Network Node Classification Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi

AAAI 2020 Knowing What, How and Why: A near Complete Solution for Aspect-Based Sentiment Analysis Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si

IJCAI 2020 Learning Latent Forests for Medical Relation Extraction Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen

ECCVW 2020 RPT: Learning Point Set Representation for Siamese Visual Tracking Ziang Ma, Linyuan Wang, Haitao Zhang, Wei Lu, Jun Yin

AAAI 2020 Recurrent Nested Model for Sequence Generation Wenhao Jiang, Lin Ma, Wei Lu

ECCVW 2020 The Eighth Visual Object Tracking VOT2020 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

AAAI 2019 Learning Diffusions Without Timestamps Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao

AAAI 2018 Cw2vec: Learning Chinese Word Embeddings with Stroke N-Gram Information Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

ICLR 2018 Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang

AAAI 2018 Learning Latent Opinions for Aspect-Level Sentiment Classification Bailin Wang, Wei Lu

AAAI 2017 Efficient Dependency-Guided Named Entity Recognition Zhanming Jie, Aldrian Obaja Muis, Wei Lu

AAAI 2017 Improving Word Embeddings with Convolutional Feature Learning and Subword Information Shaosheng Cao, Wei Lu

AAAI 2017 Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis Hao Li, Wei Lu

AAAI 2017 Semantic Parsing with Neural Hybrid Trees Raymond Hendy Susanto, Wei Lu

AAAI 2016 Deep Neural Networks for Learning Graph Representations Shaosheng Cao, Wei Lu, Qiongkai Xu

AAAI 2012 Time-Critical Influence Maximization in Social Networks with Time-Delayed Diffusion Process Wei Chen, Wei Lu, Ning Zhang

NeurIPS 2000 Constrained Independent Component Analysis Wei Lu, Jagath C. Rajapakse