Yu, Nenghai

92 publications

IJCAI 2025 BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu, Gangyang Li, Weiming Zhang, Nenghai Yu

ICML 2025 De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks Wei Fan, Kejiang Chen, Chang Liu, Weiming Zhang, Nenghai Yu

ICCV 2025 Deciphering Cross-Modal Alignment in Large Vision-Language Models via Modality Integration Rate Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Weiming Zhang, Nenghai Yu

ICCV 2025 FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation Tao Gong, Qi Chu, Bin Liu, Wei Zhou, Nenghai Yu

NeurIPS 2025 LD-RoViS: Training-Free Robust Video Steganography for Deterministic Latent Diffusion Model Xiangkun Wang, Kejiang Chen, Lincong Li, Weiming Zhang, Nenghai Yu

AAAI 2025 Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning Tao Gong, Qi Chu, Bin Liu, Nenghai Yu

NeurIPS 2025 STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model Yuang Qi, Na Zhao, Qiyi Yao, Benlong Wu, Weiming Zhang, Nenghai Yu, Kejiang Chen

ICCV 2025 Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Chao Zhou, Tianyi Wei, Nenghai Yu

NeurIPS 2025 StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models Jun Jiang, Zijin Yang, Weiming Zhang, Nenghai Yu, Kejiang Chen

NeurIPS 2025 T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models Jindong Yang, Han Fang, Weiming Zhang, Nenghai Yu, Kejiang Chen

ICCV 2025 TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity Yuzhuo Chen, Zehua Ma, Han Fang, Weiming Zhang, Nenghai Yu

IJCAI 2025 Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification Xulin Li, Yan Lu, Bin Liu, Jiaze Li, Qinhong Yang, Tao Gong, Qi Chu, Mang Ye, Nenghai Yu

ICLRW 2025 Tracing the Misuse of Personalized Textual Embeddings for Text-to-Image Models Weitao Feng, Jiyan He, Jie Zhang, Tianyi Wei, Wenbo Zhou, Qing Guo, Weiming Zhang, Tianwei Zhang, Nenghai Yu

AAAI 2025 Training-Free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-Region Matching Xuanpu Zhao, Dianmo Sheng, Zhentao Tan, Zhiwei Zhao, Tao Gong, Qi Chu, Bin Liu, Nenghai Yu

CVPR 2025 UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Tao Gong, Bin Liu, Jing Han, Wenbin Tu, Shengwei Xu, Nenghai Yu

NeurIPS 2025 Vector Database Watermarking Zhiwen Ren, Wei Fan, Qiyi Yao, Jing Qiu, Weiming Zhang, Nenghai Yu

TMLR 2025 \copyright Plug-in Authorization for Human Copyright Protection in Text-to-Image Model Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu

ECCV 2024 A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability Linfeng Ma, Han Fang, Tianyi Wei, Zijin Yang, Zehua Ma, Weiming Zhang, Nenghai Yu

ICML 2024 AquaLoRA: Toward White-Box Protection for Customized Stable Diffusion Models via Watermark LoRA Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu

ICLR 2024 Boosting Vanilla Lightweight Vision Transformers via Re-Parameterization Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye

NeurIPS 2024 DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Xiuwei Shang, Weiming Zhang, Nenghai Yu

AAAI 2024 Data-Free Hard-Label Robustness Stealing Attack Xiaojian Yuan, Kejiang Chen, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu

AAAI 2024 FaceRSA: RSA-Aware Facial Identity Cryptography Framework Zhongyi Zhang, Tianyi Wei, Wenbo Zhou, Hanqing Zhao, Weiming Zhang, Nenghai Yu

CVPR 2024 Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models Zijin Yang, Kai Zeng, Kejiang Chen, Han Fang, Weiming Zhang, Nenghai Yu

AAAI 2024 MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators Yaqi Zhang, Di Huang, Bin Liu, Shixiang Tang, Yan Lu, Lu Chen, Lei Bai, Qi Chu, Nenghai Yu, Wanli Ouyang

AAAI 2024 MuST: Robust Image Watermarking for Multi-Source Tracing Guanjie Wang, Zehua Ma, Chang Liu, Xi Yang, Han Fang, Weiming Zhang, Nenghai Yu

CVPR 2024 OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation Qidong Huang, Xiaoyi Dong, Pan Zhang, Bin Wang, Conghui He, Jiaqi Wang, Dahua Lin, Weiming Zhang, Nenghai Yu

AAAI 2024 TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu

CVPR 2024 Towards More Unified In-Context Visual Understanding Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu

ICML 2024 Transferable Facial Privacy Protection Against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu

AAAI 2024 Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-Identification Zhiwei Zhao, Bin Liu, Yan Lu, Qi Chu, Nenghai Yu

ICLRW 2024 ©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu

AAAI 2023 AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu

AAAI 2023 DeAR: A Deep-Learning-Based Audio Re-Recording Resilient Watermarking Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu

CVPR 2023 Diversity-Aware Meta Visual Prompting Qidong Huang, Xiaoyi Dong, Dongdong Chen, Weiming Zhang, Feifei Wang, Gang Hua, Nenghai Yu

ICLR 2023 Exploring the Limits of Differentially Private Deep Learning with Group-Wise Clipping Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

IJCAI 2023 Fluid Dynamics-Inspired Network for Infrared Small Target Detection Tianxiang Chen, Qi Chu, Bin Liu, Nenghai Yu

ICCV 2023 HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

ICCV 2023 Improving Adversarial Robustness of Masked Autoencoders via Test-Time Frequency-Domain Prompting Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, Nenghai Yu

CVPR 2023 MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining Xiaoyi Dong, Jianmin Bao, Yinglin Zheng, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

AAAI 2023 PeCo: Perceptual Codebook for BERT Pre-Training of Vision Transformers Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu, Baining Guo

AAAI 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang

ICML 2023 X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation Using CLIP and StableDiffusion Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu

ECCV 2022 Bootstrapped Masked Autoencoders for Vision BERT Pretraining Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

CVPR 2022 CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo

ECCV 2022 Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-Identification Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu

CVPR 2022 HairCLIP: Design Your Hair by Text and Reference Image Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu

CVPR 2022 Protecting Celebrities from DeepFake with Identity Consistency Transformer Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Ting Zhang, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo

CVPR 2022 Reduce Information Loss in Transformers for Pluralistic Image Inpainting Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu

CVPR 2022 Shape-Invariant 3D Adversarial Point Clouds Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Nenghai Yu

AAAI 2022 Tracing Text Provenance via Context-Aware Lexical Substitution Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu

ECCV 2022 UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu

CVPR 2021 Diverse Semantic Image Synthesis via Probability Distribution Modeling Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu

ICCV 2021 ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Yu

ICCV 2021 Improve Unsupervised Pretraining for Few-Label Transfer Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu

CVPR 2021 Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu

AAAI 2021 Initiative Defense Against Facial Manipulation Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu

AAAI 2021 Joint Color-Irrelevant Consistency Learning and Identity-Aware Modality Adaptation for Visible-Infrared Cross Modality Person Re-Identification Zhiwei Zhao, Bin Liu, Qi Chu, Yan Lu, Nenghai Yu

CVPR 2021 Multi-Attentional Deepfake Detection Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu

ICLR 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu

CVPR 2021 Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu

AAAI 2021 Temporal ROI Align for Video Object Recognition Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

AAAI 2020 DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking Qi Chu, Wanli Ouyang, Bin Liu, Feng Zhu, Nenghai Yu

IJCAI 2020 GSM: Graph Similarity Model for Multi-Object Tracking Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu

NeurIPS 2020 GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen

AAAI 2020 Model Watermarking for Image Processing Networks Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu

NeurIPS 2020 Passport-Aware Normalization for Deep Model Protection Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

AAAI 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu

ICLR 2019 G-SGD: Optimizing ReLU Neural Networks in Its Positively Scale-Invariant Space Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu

AAAI 2019 Trust Region Evolution Strategies Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ECCV 2018 Decouple Learning for Parameterized Image Operators Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen

ICML 2018 Model-Level Dual Learning Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ECCV 2018 Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy

ICML 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhi-Ming Ma, Tie-Yan Liu

ICCV 2017 Coherent Online Video Style Transfer Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, Gang Hua

NeurIPS 2017 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu

IJCAI 2017 Dual Inference for Machine Learning Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ICML 2017 Dual Supervised Learning Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu

CVPR 2017 Learning Spatial Regularization with Image-Level Supervisions for Multi-Label Image Classification Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang

ICCV 2017 Online Multi-Object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, Nenghai Yu

ECML-PKDD 2017 Sequence Generation with Target Attention Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu

CVPR 2017 StyleBank: An Explicit Representation for Neural Image Style Transfer Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

IJCAI 2016 Budgeted Multi-Armed Bandits with Multiple Plays Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu

NeurIPS 2016 Dual Learning for Machine Translation Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma

ACML 2015 Budgeted Bandit Problems with Continuous Random Costs Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin

IJCAI 2015 Thompson Sampling for Budgeted Multi-Armed Bandits Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu

ECCV 2014 Crowd Tracking with Dynamic Evolution of Group Structures Feng Zhu, Xiaogang Wang, Nenghai Yu

AAAI 2014 Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu

CVPR 2012 Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu

ICCV 2011 Complementary Hashing for Approximate Nearest Neighbor Search Hao Xu, Jingdong Wang, Zhu Li, Gang Zeng, Shipeng Li, Nenghai Yu

NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering Lei Wu, Rong Jin, Steven C. Hoi, Jianke Zhu, Nenghai Yu

CVPR 2008 Multiple-Instance Ranking: Learning to Rank Images for Image Retrieval Yang Hu, Mingjing Li, Nenghai Yu