Shi, Yu

18 publications

NeurIPS 2025 E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang

ICML 2025 High-Dimensional Tensor Regression with Oracle Properties Wenbin Wang, Yu Shi, Ziping Zhao

ICML 2024 Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi

AAAI 2024 Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation Lijun Zhang, Kangkang Zhou, Feng Lu, Xiang-Dong Zhou, Yu Shi

CVPR 2024 Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang

NeurIPS 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu

ICCV 2023 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang

CVPR 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang

AAAI 2023 Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer Min Peng, Chongyang Wang, Yu Shi, Xiang-Dong Zhou

AAAI 2023 I-Code: An Integrative and Composable Multimodal Learning Framework Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

NeurIPS 2023 Learning from Biased Soft Labels Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui

IJCAI 2023 Unreliable Partial Label Learning with Recursive Separation Yu Shi, Ning Xu, Hua Yuan, Xin Geng

IJCAI 2022 Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering Min Peng, Chongyang Wang, Yuan Gao, Yu Shi, Xiang-Dong Zhou

NeurIPS 2022 Quantized Training of Gradient Boosting Decision Trees Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu

ICLR 2020 BERT-AL: BERT for Arbitrarily Long Document Understanding Ruixuan Zhang, Zhuoyu Wei, Yu Shi, Yining Chen

ICCVW 2019 3D Face Shape Regression from 2D Videos with Multi-Reconstruction and Mesh Retrieval Xiaohu Shao, Jiangjing Lyu, Junliang Xing, Lijun Zhang, Xiaobo Li, Xiangdong Zhou, Yu Shi

IJCAI 2019 Gradient Boosting with Piece-Wise Linear Regression Trees Yu Shi, Jian Li, Zhize Li

ECML-PKDD 2019 User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han