Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques. - Tianyu Hua; Maithilee Kunda (CoRR, 2019)

Modeling Gestalt Visual Reasoning on Raven's Progressive Matrices Using Generative Image Inpainting Techniques. - Tianyu Hua; Maithilee Kunda (CogSci, 2020)

Exploiting Relationship for Complex-scene Image Generation. - Tianyu Hua; Hongdong Zheng; Yalong Bai; Wei Zhang 031; Xiao-Ping Zhang 002; Tao Mei 001 (AAAI, 2021)

On Feature Decorrelation in Self-Supervised Learning. - Tianyu Hua; Wenxiao Wang 002; Zihui Xue; Sucheng Ren; Yue Wang 041; Hang Zhao (ICCV, 2021)

Improving Multi-Modal Learning with Uni-Modal Teachers. - Chenzhuang Du; Tingle Li; Yichen Liu; Zixin Wen; Tianyu Hua; Yue Wang 041; Hang Zhao (CoRR, 2021)

Co-advise: Cross Inductive Bias Distillation. - Sucheng Ren; Zhengqi Gao; Tianyu Hua; Zihui Xue; Yonglong Tian; Shengfeng He; Hang Zhao (CVPR, 2022)

Self-supervision through Random Segments with Autoregressive Coding (RandSAC). - Tianyu Hua; Yonglong Tian; Sucheng Ren; Hang Zhao; Leonid Sigal (CoRR, 2022)

Self-supervision through Random Segments with Autoregressive Coding (RandSAC). - Tianyu Hua; Yonglong Tian; Sucheng Ren; Michalis Raptis; Hang Zhao; Leonid Sigal (ICLR, 2023)

FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning. - Li-Heng Lin; Yuchen Cui; Amber Xie; Tianyu Hua; Dorsa Sadigh (CoRL, 2024)

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code. - Tianyu Hua; Harper Hua; Violet Xiang; Benjamin Klieger; Sang T. Truong; Weixin Liang; Fan-Yun Sun; Nick Haber (CoRR, 2025)

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review. - Yaohui Zhang; Haijing Zhang; Wenlong Ji; Tianyu Hua; Nick Haber; Hancheng Cao; Weixin Liang (CoRR, 2025)