Zhang, Shikun

32 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
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
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
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
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
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
CVPR 2023 3D Registration with Maximal Cliques Xiyu Zhang, Jiaqi Yang, Shikun Zhang, Yanning 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
ICCV 2023 Hierarchical Prior Mining for Non-Local Multi-View Stereo Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang
NeurIPS 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
NeurIPS 2023 Parameter-Efficient Tuning of Large-Scale Multimodal Foundation Model Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian
ICCV 2023 Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
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
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
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
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