Ye, Wei

52 publications

CVPR 2025 All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising Xiaoling Zhou, Zhemg Lee, Wei Ye, Rui Xie, Wenbo Zhang, Guanju Peng, Zongze Li, Shikun Zhang

NeurIPS 2025 Boosting Resilience of Large Language Models Through Causality-Driven Robust Optimization Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Yuncheng Hua, Chengli Xing, Wei Ye, Flora D. Salim, Shikun Zhang

AAAI 2025 Concept Matching with Agent for Out-of-Distribution Detection Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang

TMLR 2025 Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong

IJCAI 2025 GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan

ICLR 2025 HaDeMiF: Hallucination Detection and Mitigation in Large Language Models Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang

AAAI 2025 NightHaze: Nighttime Image Dehazing via Self-Prior Learning Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

NeurIPS 2025 Preference-Driven Knowledge Distillation for Few-Shot Node Classification Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye

ICCV 2025 RI3D: Few-Shot Gaussian Splatting with Repair and Inpainting Diffusion Priors Avinash Paliwal, Xilong Zhou, Wei Ye, Jinhui Xiong, Rakesh Ranjan, Nima Khademi Kalantari

ICML 2025 Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang

IJCAI 2025 Robustness to Spurious Correlations via Dynamic Knowledge Transfer Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang

NeurIPS 2025 SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Qingsong Wen, Shikun Zhang, Wei Ye

CVPR 2025 SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization Hongrui Jia, Chaoya Jiang, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

NeurIPS 2025 VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought Chaoya Jiang, Yongrui Heng, Wei Ye, Haiyang Xu, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

NeurIPS 2024 AutoSurvey: Large Language Models Can Automatically Write Surveys Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

IJCAI 2024 Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang

ECCV 2024 CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection Jinhao Deng, Wei Ye, Hai Wu, Qiming Xia, Xun Huang, Xin Li, Jin Fang, Wei Li, Chenglu Wen, Cheng Wang

AAAI 2024 COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems Hao Tian, Sourav Medya, Wei Ye

ECCV 2024 CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari

ECCVW 2024 Compressed Depth mAP Super-Resolution and Restoration: AIM 2024 Challenge Results Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua

CVPRW 2024 Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

AAAI 2024 DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity Yeying Jin, Wei Ye, Wenhan Yang, Yuan Yuan, Robby T. Tan

IJCAI 2024 Deep Hierarchical Graph Alignment Kernels Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye

ECCV 2024 Dual-Rain: Video Rain Removal Using Assertive and Gentle Teachers Tingting Chen, Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

ECML-PKDD 2024 Enhancing Shortest-Path Graph Kernels via Graph Augmentation Wei Ye, Hao Tian, Shuhao Tang, Xin Sun

NeurIPS 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo

CVPR 2024 HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection Qiming Xia, Wei Ye, Hai Wu, Shijia Zhao, Leyuan Xing, Xun Huang, Jinhao Deng, Xin Li, Chenglu Wen, Cheng Wang

CVPR 2024 Hallucination Augmented Contrastive Learning for Multimodal Large Language Model Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang

AAAI 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang

NeurIPS 2024 MaVEn: An Effective Multi-Granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

ICML 2024 NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao

AAAI 2024 NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan

AAAI 2024 PICNN: A Pathway Towards Interpretable Convolutional Neural Networks Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye

ICLR 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

NeurIPS 2024 SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types Yutao Mou, Shikun Zhang, Wei Ye

ICLR 2024 Supervised Knowledge Makes Large Language Models Better In-Context Learners Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang

AAAI 2024 TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-Training Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang

ICCV 2023 BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-up Patch Summarization. Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang

CVPR 2023 Consistent Direct Time-of-Flight Video Depth Super-Resolution Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan

ICLRW 2023 On the Robustness of ChatGPT: An Adversarial and Out-of-Distribution Perspective Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie

AAAI 2023 Reviewing Labels: Label Graph Network with Top-K Prediction Set for Relation Extraction Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang

AAAI 2023 Sequence Generation with Label Augmentation for Relation Extraction Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang

WACV 2023 Temporally Consistent Online Depth Estimation in Dynamic Scenes Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath

AAAI 2022 Frequency-Aware Contrastive Learning for Neural Machine Translation Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao

CVPR 2022 Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

NeurIPS 2022 Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu

NeurIPS 2022 USB: A Unified Semi-Supervised Learning Benchmark for Classification Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

AAAI 2021 Multi-View Inference for Relation Extraction with Uncertain Knowledge Bo Li, Wei Ye, Canming Huang, Shikun Zhang

AAAI 2021 SongMASS: Automatic Song Writing with Pre-Training and Alignment Constraint Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin

ACML 2020 Deep Dynamic Boosted Forest Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang

ECCV 2020 Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, Shikun Zhang

ECML-PKDD 2017 Attributed Graph Clustering with Unimodal Normalized Cut Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm