Yang, Haolin

10 publications

ICLR 2026 Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference Yuguang Yan, Haolin Yang, Zecong Chen, Weilin Chen, Ruichu Cai, Zhifeng Hao

ICLR 2026 Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Haolin Yang, Hakaze Cho, Naoya Inoue

ICLR 2026 Matching Without Group Barrier for Heterogeneous Treatment Effect Estimation Yuguang Yan, Haolin Yang, Shihao Zhang, Weilin Chen, Ruichu Cai, Zhifeng Hao

ICLR 2026 Mechanism of Task-Oriented Information Removal in In-Context Learning Hakaze Cho, Haolin Yang, Gouki Minegishi, Naoya Inoue

ICLR 2026 Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insights Haolin Yang, Hakaze Cho, Kaize Ding, Naoya Inoue

ICML 2025 Reducing Confounding Bias Without Data Splitting for Causal Inference via Optimal Transport Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao

NeurIPS 2025 UniViT: Unifying Image and Video Understanding in One Vision Encoder Feilong Tang, Xiang An, Haolin Yang, Yin Xie, Kaicheng Yang, Ming Hu, Zheng Cheng, Xingyu Zhou, Zimin Ran, Imran Razzak, Ziyong Feng, Behzad Bozorgtabar, Jiankang Deng, Zongyuan Ge

NeurIPS 2025 Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning Haolin Yang, Hakaze Cho, Yiqiao Zhong, Naoya Inoue

IJCAI 2024 Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation Haolin Yang, Chaoqiang Zhao, Lu Sheng, Yang Tang

CVPR 2024 TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding Yun Liu, Haolin Yang, Xu Si, Ling Liu, Zipeng Li, Yuxiang Zhang, Yebin Liu, Li Yi