Liu, Sheng

27 publications

AISTATS 2025 Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu, Zihan Wang, Yuxiao Chen, Qi Lei

TMLR 2025 Making Self-Supervised Learning Robust to Spurious Correlation via Learning-Speed Aware Sampling Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian

ICLR 2025 MedTrinity-25m: A Large-Scale Multimodal Dataset with Multigranular Annotations for Medicine Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou

NeurIPS 2025 More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models Zhongxing Xu, Chengzhi Liu, Qingyue Wei, Juncheng Wu, James Zou, Xin Eric Wang, Yuyin Zhou, Sheng Liu

AAAI 2025 OLMD: Orientation-Aware Long-Term Motion Decoupling for Continuous Sign Language Recognition Yiheng Yu, Sheng Liu, Yuan Feng, Min Xu, Zhelun Jin, Xuhua Yang

AAAI 2025 OTLRM: Orthogonal Learning-Based Low-Rank Metric for Multi-Dimensional Inverse Problems Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao

ICLRW 2025 OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning Pan Lu, Bowen Chen, Sheng Liu, Rahul Thapa, Joseph Boen, James Zou

ICLR 2025 Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering Sheng Liu, Haotian Ye, James Zou

ICML 2024 In-Context Vectors: Making in Context Learning More Effective and Controllable Through Latent Space Steering Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou

ICML 2024 Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel Mcfarland, James Y. Zou

NeurIPS 2024 TFG: Unified Training-Free Guidance for Diffusion Models Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon

TMLR 2024 Understanding and Improving Transfer Learning of Deep Models via Neural Collapse Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

ICLR 2023 Avoiding Spurious Correlations via Logit Correction Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda

NeurIPSW 2023 Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning Jianwei Li, Sheng Liu, Qi Lei

CVPR 2023 LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization Sheng Liu, Cong Phuoc Huynh, Cong Chen, Maxim Arap, Raffay Hamid

CVPR 2023 Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

ICCV 2023 PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu

CVPR 2022 Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

NeurIPS 2022 Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

ICML 2022 Deep Probability Estimation Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

CVPR 2022 Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows Sheng Liu, Xiaohan Nie, Raffay Hamid

AAAI 2022 OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu

CVPR 2022 On Learning Contrastive Representations for Learning with Noisy Labels Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang

ICML 2022 Robust Training Under Label Noise by Over-Parameterization Sheng Liu, Zhihui Zhu, Qing Qu, Chong You

CVPR 2022 Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao

NeurIPS 2021 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

NeurIPS 2020 Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda