Liu, Tianyi

21 publications

CVPR 2025 KMD: Koopman Multi-Modality Decomposition for Generalized Brain Tumor Segmentation Under Incomplete Modalities Tianyi Liu, Haochuan Jiang, Kaizhu Huang

ICCV 2025 Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng

ECCV 2024 A Rotation-Invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie, Geng Chen, Yusheng Guo, Guangquan Zhou, Jean-Louis Coatrieux, Yang Chen

ICLR 2024 LEMON: Lossless Model Expansion Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang

ICLR 2024 Let Models Speak Ciphers: Multiagent Debate Through Embeddings Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang

NeurIPS 2023 Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method Tianyi Liu, Kejun Wu, Yi Wang, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau

ICML 2023 Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

NeurIPSW 2023 Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

ICML 2023 Taxonomy-Structured Domain Adaptation Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang

AISTATS 2022 Noise Regularizes Over-Parameterized Rank One Matrix Recovery, Provably Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao

ECCV 2022 A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D Tianyi Liu, Sen He, Vinodh Kumaran Jayakumar, Wei Wang

UAI 2022 Differentially Private Multi-Party Data Release for Linear Regression Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Q. Kilian Weinberger, Chong Wang

NeurIPSW 2022 Energy-Based Modelling for Single-Cell Data Annotation Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J Lee

ICML 2022 Fourier Learning with Cyclical Data Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang

UAI 2022 PathFlow: A Normalizing Flow Generator That Finds Transition Paths Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang

NeurIPSW 2022 RLCG: When Reinforcement Learning Meets Coarse Graining Shenghao Wu, Tianyi Liu, Zhirui Wang, Wen Yan, Yingxiang Yang

AISTATS 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao

ICLR 2020 On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao

ICML 2019 Toward Understanding the Importance of Noise in Training Neural Networks Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao

NeurIPS 2019 Towards Understanding the Importance of Shortcut Connections in Residual Networks Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S Du, Enlu Zhou, Tuo Zhao

NeurIPS 2018 Towards Understanding Acceleration Tradeoff Between Momentum and Asynchrony in Nonconvex Stochastic Optimization Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao