Interpreting Multivariate Interactions in DNNs. - Hao Zhang 063; Yichen Xie 002; Longjie Zheng; Die Zhang; Quanshi Zhang (CoRR, 2020)

Interpreting Multivariate Shapley Interactions in DNNs. - Hao Zhang 063; Yichen Xie 002; Longjie Zheng; Die Zhang; Quanshi Zhang (AAAI, 2021)

DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. - Haoshu Fang; Yichen Xie 002; Dian Shao; Cewu Lu (AAAI, 2021)

DecAug: Augmenting HOI Detection via Decomposition. - Haoshu Fang; Yichen Xie 002; Dian Shao; Yong-Lu Li 001; Cewu Lu (AAAI, 2021)

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. - Siyuan Huang 001; Yichen Xie 002; Song-Chun Zhu; Yixin Zhu 001 (ICCV, 2021)

Interpreting and Boosting Dropout from a Game-Theoretic View. - Hao Zhang 063; Sen Li; Yinchao Ma; Mingjie Li; Yichen Xie 002; Quanshi Zhang (ICLR, 2021)

Towards General and Efficient Active Learning. - Yichen Xie 002; Masayoshi Tomizuka; Wei Zhan (CoRR, 2021)

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. - Yichen Xie 002; Han Lu; Junchi Yan; Xiaokang Yang 001; Masayoshi Tomizuka; Wei Zhan (CVPR, 2023)

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. - Yichen Xie 002; Chenfeng Xu; Marie-Julie Rakotosaona; Patrick Rim; Federico Tombari; Kurt Keutzer; Masayoshi Tomizuka; Wei Zhan (ICCV, 2023)

Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. - Zheng Wu 002; Yichen Xie 002; Wenzhao Lian; Changhao Wang; Yanjiang Guo; Jianyu Chen; Stefan Schaal; Masayoshi Tomizuka (ICRA, 2023)

Towards Free Data Selection with General-Purpose Models. - Yichen Xie 002; Mingyu Ding; Masayoshi Tomizuka; Wei Zhan (NeurIPS, 2023)

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains. - Haoshu Fang; Chenxi Wang 003; Hongjie Fang; Minghao Gou; Jirong Liu; Hengxu Yan; Wenhai Liu; Yichen Xie 002; Cewu Lu (IEEE Trans. Robotics, 2023)

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. - Yixiao Wang; Yifei Zhang; Mingxiao Huo; Thomas Tian; Xiang Zhang 006; Yichen Xie 002; Chenfeng Xu; Pengliang Ji; Wei Zhan; Mingyu Ding; Masayoshi Tomizuka (CoRL, 2024)

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. - Yixiao Wang; Chen Tang 001; Lingfeng Sun; Simone Rossi 001; Yichen Xie 002; Chensheng Peng; Thomas Hannagan; Stefano Sabatini; Nicola Poerio; Masayoshi Tomizuka; Wei Zhan (ECCV (29), 2024)

Boundary Matters: A Bi-Level Active Finetuning Method. - Han Lu; Yichen Xie 002; Xiaokang Yang 001; Junchi Yan (NeurIPS, 2024)

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. - Yichen Xie 002; Hongge Chen; Gregory P. Meyer; Yong Jae Lee; Eric M. Wolff; Masayoshi Tomizuka; Wei Zhan; Yuning Chai; Xin Huang (CoRR, 2024)

Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. - Han Lu; Siyu Sun; Yichen Xie 002; Liqing Zhang 001; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. - Han Lu; Xiaosong Jia; Yichen Xie 002; Wenlong Liao; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

Boundary Matters: A Bi-Level Active Finetuning Framework. - Han Lu; Yichen Xie 002; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. - Yixiao Wang; Yifei Zhang; Mingxiao Huo; Ran Tian; Xiang Zhang 006; Yichen Xie 002; Chenfeng Xu; Pengliang Ji; Wei Zhan; Mingyu Ding; Masayoshi Tomizuka (CoRR, 2024)

TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection. - Philip L. Jacobson; Yichen Xie 002; Mingyu Ding; Chenfeng Xu; Masayoshi Tomizuka; Wei Zhan; Ming C. Wu (CoRR, 2024)

RoadBEV: Road Surface Reconstruction in Bird's Eye View. - Tong Zhao; Lei Yang 060; Yichen Xie 002; Mingyu Ding; Masayoshi Tomizuka; Yintao Wei (IEEE Trans. Intell. Transp. Syst., 2024)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. - Yichen Xie 002; Runsheng Xu; Tong He; Jyh-Jing Hwang; Katie Luo; Jingwei Ji; Hubert Lin; Letian Chen; Yiren Lu 001; Zhaoqi Leng; Dragomir Anguelov; Mingxing Tan (CVPR, 2025)

DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes. - Chensheng Peng; Chengwei Zhang; Yixiao Wang; Chenfeng Xu; Yichen Xie 002; Wenzhao Zheng; Kurt Keutzer; Masayoshi Tomizuka; Wei Zhan (CVPR, 2025)

X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios. - Yichen Xie 002; Chenfeng Xu; Chensheng Peng; Shuqi Zhao; Nhat Ho; Alexander T. Pham; Mingyu Ding; Masayoshi Tomizuka; Wei Zhan (ICLR, 2025)

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance. - Siyu Sun; Han Lu; Jiangtong Li; Yichen Xie 002; Tianjiao Li; Xiaokang Yang 001; Liqing Zhang 001; Junchi Yan (ICLR, 2025)

DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning. - Shuqi Zhao; Ke Yang; Yuxin Chen; Chenran Li; Yichen Xie 002; Xiang Zhang 006; Changhao Wang; Masayoshi Tomizuka (CoRR, 2025)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. - Yichen Xie 002; Runsheng Xu; Tong He; Jyh-Jing Hwang; Katie Luo; Jingwei Ji; Hubert Lin; Letian Chen; Yiren Lu 001; Zhaoqi Leng; Dragomir Anguelov; Mingxing Tan (CoRR, 2025)