Wei, Wei

92 publications

ICCV 2025 Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection Bowen Fu, Wei Wei, Jiaqi Tang, Jiangtao Nie, Yanyu Ye, Xiaogang Xu, Ying-Cong Chen, Lei Zhang

AAAI 2025 Dynamic Uncertainty Estimation for Offline Reinforcement Learning Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang

AAAI 2025 Editing Memories Through Few Targeted Neurons Wei Zhou, Wei Wei, Guibang Cao, Fei Wang

AAAI 2025 Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data Weiran Pan, Wei Wei, Feida Zhu, Yong Deng

CVPR 2025 Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling Is Easier than You Think Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng

NeurIPS 2025 FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning Da Wang, Yi Ma, Ting Guo, Hongyao Tang, Wei Wei, Jiye Liang

ICLR 2025 From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao

ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

IJCAI 2025 Indirect Alignment and Relationship Preservation for Domain Generalization Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li

NeurIPS 2025 KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang

ICLR 2025 LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei

CVPR 2025 Low-Biased General Annotated Dataset Generation Dengyang Jiang, Haoyu Wang, Lei Zhang, Wei Wei, Guang Dai, Mengmeng Wang, Jingdong Wang, Yanning Zhang

ICML 2025 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng

IJCAI 2025 Multi-Granularity Knowledge Transfer for Continual Reinforcement Learning Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei, Yonghao Li, Xin Yang

IJCAI 2025 Prompt-Free Conditional Diffusion for Multi-Object Image Augmentation Haoyu Wang, Lei Zhang, Wei Wei, Chen Ding, Yanning Zhang

ICCV 2025 RhythmGuassian: Repurposing Generalizable Gaussian Model for Remote Physiological Measurement Hao Lu, Yuting Zhang, Jiaqi Tang, Bowen Fu, Wenhang Ge, Wei Wei, Kaishun Wu, Yingcong Chen

NeurIPS 2025 Risk-Aware Direct Preference Optimization Under Nested Risk Measure Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei

AAAI 2025 Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering Mingtao Xu, Wei Wei, Peixuan Yang, Hulong Wu

ICCV 2025 Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning Fei Zhou, Peng Wang, Lei Zhang, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang

CVPR 2024 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang

ICML 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai

CVPRW 2024 Dataset Condensation with Latent Quantile Matching Wei Wei, Tom De Schepper, Kevin Mets

AAAI 2024 Detection-Based Intermediate Supervision for Visual Question Answering Yuhang Liu, Daowan Peng, Wei Wei, Yuanyuan Fu, Wenfeng Xie, Dangyang Chen

AAAI 2024 Enhancing Low-Resource Relation Representations Through Multi-View Decoupling Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen

NeurIPS 2024 FineCLIP: Self-Distilled Region-Based CLIP for Better Fine-Grained Understanding Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu

NeurIPSW 2024 From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao

CVPR 2024 HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman

ICML 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

IJCAI 2024 Improving Pseudo Labels with Global-Local Denoising Framework for Cross-Lingual Named Entity Recognition Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen

NeurIPS 2024 Large Language Models-Guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin

NeurIPS 2024 Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang

NeurIPS 2024 On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng

CVPR 2024 PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models Fei Deng, Qifei Wang, Wei Wei, Tingbo Hou, Matthias Grundmann

IJCAI 2024 Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen

MLJ 2024 Re-Attentive Experience Replay in Off-Policy Reinforcement Learning Wei Wei, Da Wang, Lin Li, Jiye Liang

NeurIPS 2024 Scalable Constrained Policy Optimization for Safe Multi-Agent Reinforcement Learning Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang

NeurIPS 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng

IJCAI 2023 An Empirical Study on the Language Modal in Visual Question Answering Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen

CVPR 2023 Glocal Energy-Based Learning for Few-Shot Open-Set Recognition Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang

AAAI 2023 Mind the Gap: Polishing Pseudo Labels for Accurate Semi-Supervised Object Detection Lei Zhang, Yuxuan Sun, Wei Wei

CVPR 2023 Revisiting Prototypical Network for Cross Domain Few-Shot Learning Fei Zhou, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang

AAAI 2023 STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen

NeurIPS 2023 Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou

ICML 2023 Set-Membership Belief State-Based Reinforcement Learning for POMDPs Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang

IJCAI 2023 Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-Based Reinforcement Learning Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen

IJCAI 2022 Automatic Noisy Label Correction for Fine-Grained Entity Typing Weiran Pan, Wei Wei, Feida Zhu

ECCV 2022 Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu

AAAI 2022 Controlling Underestimation Bias in Reinforcement Learning via Quasi-Median Operation Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li

IJCAI 2022 Declaration-Based Prompt Tuning for Visual Question Answering Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu

AAAI 2022 Multi-View Intent Disentangle Graph Networks for Bundle Recommendation Sen Zhao, Wei Wei, Ding Zou, Xianling Mao

CVPRW 2022 NTIRE 2022 Spectral Recovery Challenge and Data Set Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi

IJCAI 2022 Relational Triple Extraction: One Step Is Enough Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao

TMLR 2022 Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

AAAI 2021 A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting Kun Qian, Wei Wei, Zhou Yu

CVPR 2021 Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie

ICCV 2021 FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition Lei Fan, Peixi Xiong, Wei Wei, Ying Wu

MLJ 2021 Graph-Based Semi-Supervised Learning via Improving the Quality of the Graph Dynamically Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei

ICML 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization Pei-Hung Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai

AAAI 2021 Reinforced History Backtracking for Conversational Question Answering Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang

AAAI 2021 Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou

ECCVW 2020 AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, P. S Hrishikesh, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

AAAI 2020 Are Noisy Sentences Useless for Distant Supervised Relation Extraction? Yuming Shang, He Yan Huang, Xianling Mao, Xin Sun, Wei Wei

NeurIPSW 2020 Differentiable Top-$k$ with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

NeurIPS 2020 Differentiable Top-K with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

AAAI 2020 InstaNAS: Instance-Aware Neural Architecture Search An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun

IJCAI 2020 MLS3RDUH: Deep Unsupervised Hashing via Manifold Based Local Semantic Similarity Structure Reconstructing Rong-Cheng Tu, Xianling Mao, Wei Wei

NeurIPS 2020 Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

CVPRW 2020 NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan Sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi

AAAI 2020 Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang

ECCVW 2020 Remix: Rebalanced Mixup Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

ICCVW 2019 AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang

NeurIPS 2019 Abstract Reasoning with Distracting Features Kecheng Zheng, Zheng-Jun Zha, Wei Wei

ICLR 2019 Complement Objective Training Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

NeurIPS 2019 Meta Architecture Search Albert Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai

ICML 2019 Policy Certificates: Towards Accountable Reinforcement Learning Christoph Dann, Lihong Li, Wei Wei, Emma Brunskill

ECCV 2018 DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

ECCV 2018 Escaping from Collapsing Modes in a Constrained Space Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

IJCAI 2018 Learning to Explain Ambiguous Headlines of Online News Tianyu Liu, Wei Wei, Xiaojun Wan

IJCAI 2017 Dynamic Programming Bipartite Belief Propagation for Hyper Graph Matching Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi

IJCAI 2017 Learning to Identify Ambiguous and Misleading News Headlines Wei Wei, Xiaojun Wan

ICCV 2017 Should We Encode Rain Streaks in Video as Deterministic or Stochastic? Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu

AAAI 2017 Solving Constrained Combinatorial Optimisation Problems via MAP Inference Without High-Order Penalties Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel

ICCV 2017 When Unsupervised Domain Adaptation Meets Tensor Representations Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel

ECCV 2016 Cluster Sparsity Field for Hyperspectral Imagery Denoising Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

CVPR 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel

ICCV 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi

CVPR 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity Lei Zhang, Wei Wei, Yanning Zhang, Chunna Tian, Fei Li

IJCAI 2013 Joint and Coupled Bilingual Topic Model Based Sentence Representations for Language Model Adaptation Shixiang Lu, Xiaoyin Fu, Wei Wei, Xingyuan Peng, Bo Xu

AAAI 2011 Integrating Community Question and Answer Archives Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li

AAAI 2004 Towards Efficient Sampling: Exploiting Random Walk Strategies Wei Wei, Jordan Erenrich, Bart Selman

NeCo 1999 A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates Wei Wei, Todd K. Leen, Etienne Barnard