Liu, Yuhan

25 publications

ICLR 2026 Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation Yuhan Liu, Lianhui Qin, Shenji Wan

ICLR 2026 ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models Juntian Zhang, Song Jin, Chuanqi Cheng, Yuhan Liu, Yankai Lin, Xun Zhang, Yufei Zhang, Fei Jiang, Guojun Yin, Wei Lin, Rui Yan

NeurIPS 2025 Boundary-to-Region Supervision for Offline Safe Reinforcement Learning Huikang Su, Dengyun Peng, Zifeng Zhuang, YuHan Liu, Qiguang Chen, Donglin Wang, Qinghe Liu

NeurIPS 2025 EPA: Boosting Event-Based Video Frame Interpolation with Perceptually Aligned Learning Yuhan Liu, LingHui Fu, Zhen Yang, Hao Chen, Youfu Li, Yongjian Deng

CVPR 2025 Event-Equalized Dense Video Captioning Kangyi Wu, Pengna Li, Jingwen Fu, Yizhe Li, Yang Wu, Yuhan Liu, Jinjun Wang, Sanping Zhou

ICCV 2025 Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Yuhan Liu, Jingwen Fu, Yang Wu, Kangyi Wu, Pengna Li, Jiayi Wu, Sanping Zhou, Jingmin Xin

CoRL 2025 Motion Blender Gaussian Splatting for Dynamic Reconstruction Xinyu Zhang, Haonan Chang, Yuhan Liu, Abdeslam Boularias

CVPRW 2025 NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

CVPR 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability Lei Wang, Senmao Li, Fei Yang, Jianye Wang, Ziheng Zhang, Yuhan Liu, Yaxing Wang, Jian Yang

CVPR 2025 The Devil Is in Low-Level Features for Cross-Domain Few-Shot Segmentation Yuhan Liu, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRL 2024 A3VLM: Actionable Articulation-Aware Vision Language Model Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Abdeslam Boularias, Peng Gao, Hongsheng Li

CoRL 2024 Detect Everything with Few Examples Xinyu Zhang, Yuhan Liu, Yuting Wang, Abdeslam Boularias

IJCAI 2024 From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News Yuhan Liu, Xiuying Chen, Xiaoqing Zhang, Xing Gao, Ji Zhang, Rui Yan

CoRL 2024 Scaling Manipulation Learning with Visual Kinematic Chain Prediction Xinyu Zhang, Yuhan Liu, Haonan Chang, Abdeslam Boularias

COLT 2024 The Role of Randomness in Quantum State Certification with Unentangled Measurements Yuhan Liu, Jayadev Acharya

CVPR 2024 Video Frame Interpolation via Direct Synthesis with the Event-Based Reference Yuhan Liu, Yongjian Deng, Hao Chen, Zhen Yang

ICML 2023 Algorithms for Bounding Contribution for Histogram Estimation Under User-Level Privacy Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser

AISTATS 2023 Discrete Distribution Estimation Under User-Level Local Differential Privacy Jayadev Acharya, Yuhan Liu, Ziteng Sun

AAAI 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen

NeurIPS 2022 TwiBot-22: Towards Graph-Based Twitter Bot Detection Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo

NeurIPS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition Jayadev Acharya, Clement Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi

ALT 2021 Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun

CVPR 2021 OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker

ICML 2021 SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis Yuhan Liu, Shiliang Sun

NeurIPS 2020 Learning Discrete Distributions: User vs Item-Level Privacy Yuhan Liu, Ananda Theertha Suresh, Felix Xinnan X Yu, Sanjiv Kumar, Michael Riley