Li, Zheng

42 publications

ICCV 2025 Advancing Textual Prompt Learning with Anchored Attributes Zheng Li, Yibing Song, Ming-Ming Cheng, Xiang Li, Jian Yang

AAAI 2025 Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models Zheng Li, Liangbin Xie, Jiantao Zhou, Xintao Wang, Haiwei Wu, Jinyu Tian

CVPR 2025 ArtFormer: Controllable Generation of Diverse 3D Articulated Objects Jiayi Su, Youhe Feng, Zheng Li, Jinhua Song, Yangfan He, Botao Ren, Botian Xu

AAAI 2025 CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning Qiuru Hai, Yongjian Deng, Yuena Lin, Zheng Li, Zhen Yang, Gengyu Lyu

AAAI 2025 Contrasting Adversarial Perturbations: The Space of Harmless Perturbations Lu Chen, Shaofeng Li, Benhao Huang, Fan Yang, Zheng Li, Jie Li, Yuan Luo

NeurIPS 2025 ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space Chuanchao Zang, Xiangtao Meng, Wenyu Chen, Tianshuo Cong, Zha Yaxing, Dong Qi, Zheng Li, Shanqing Guo

ICML 2025 FloE: On-the-Fly MoE Inference on Memory-Constrained GPU Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou

ICML 2025 Local Identifying Causal Relations in the Presence of Latent Variables Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng

NeurIPS 2025 Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li, Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

IJCAI 2025 Training-Free Fourier Phase Diffusion for Style Transfer Siyuan Zhang, Wei Ma, Libin Liu, Zheng Li, Hongbin Zha

AAAI 2025 Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video Shijie Li, Weijun Lin, Qingyuan Xiang, Yunbin Tu, Shitan Asu, Zheng Li

ECCV 2024 Cascade Prompt Learning for Visual-Language Model Adaptation Ge Wu, Xin Zhang, Zheng Li, Zhaowei Chen, Jiajun Liang, Jian Yang, Xiang Li

IJCAI 2024 Common-Individual Semantic Fusion for Multi-View Multi-Label Learning Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng

ICML 2024 Language Models as Semantic Indexers Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang

ICML 2024 Local Causal Structure Learning in the Presence of Latent Variables Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng

ICML 2024 MEMORYLLM: Towards Self-Updatable Large Language Models Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian Mcauley

CVPR 2024 PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang

NeurIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

NeurIPS 2023 Amazon-M2: A Multilingual Multi-Locale Shopping Session Dataset for Recommendation and Text Generation Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

AAAI 2023 Curriculum Temperature for Knowledge Distillation Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang

ICML 2023 Data Poisoning Attacks Against Multimodal Encoders Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang

NeurIPS 2023 Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

ICLR 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-Trained Transformers Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao

AAAI 2023 People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu

NeurIPSW 2022 Condensing Graphs via One-Step Gradient Matching Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin

NeurIPS 2022 Deep Multi-Modal Structural Equations for Causal Effect Estimation with Unstructured Proxies Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov

IJCAI 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou

NeurIPS 2022 Learning to Sample and Aggregate: Few-Shot Reasoning over Temporal Knowledge Graphs Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek Abdelzaher

IJCAI 2022 Multi-View Visual Semantic Embedding Zheng Li, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue

ICCV 2021 Online Knowledge Distillation for Efficient Pose Estimation Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan

IJCAI 2020 Efficient and Modularized Training on FPGA for Real-Time Applications Shreyas Kolala Venkataramanaiah, Xiaocong Du, Zheng Li, Shihui Yin, Yu Cao, Jae-sun Seo

IJCAI 2020 Exploiting Visual Semantic Reasoning for Video-Text Retrieval Zerun Feng, Zhimin Zeng, Caili Guo, Zheng Li

WACV 2020 GAR: Graph Assisted Reasoning for Object Detection Zheng Li, Xiaocong Du, Yu Cao

CVPRW 2020 Noise-Based Selection of Robust Inherited Model for Accurate Continual Learning Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao

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 Dimension-Free Bounds for Low-Precision Training Zheng Li, Christopher M De Sa

AAAI 2019 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

MLOSS 2019 PyOD: A Python Toolbox for Scalable Outlier Detection Yue Zhao, Zain Nasrullah, Zheng Li

AAAI 2018 Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Qiang Yang

IJCAI 2017 End-to-End Adversarial Memory Network for Cross-Domain Sentiment Classification Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang

COLT 2008 More Efficient Internal-Regret-Minimizing Algorithms Amy Greenwald, Zheng Li, Warren Schudy

AAAI 2008 Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network Yang Zhou, Zheng Li, Xuerui Yang, Linxia Zhang, Shireesh Srivastava, Rong Jin, Christina Chan