Yichen Xie - RankMe

49 papers A* 16A 1Misc 1Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RAYNOVA: Scale-Temporal Autoregressive World Modeling in Ray Space. CoRR Yichen Xie, Chensheng Peng, Mazen Abdelfattah, Yihan Hu, Jiezhi Yang, Eric Higgins, Ryan Brigden, Masayoshi Tomizuka, Wei Zhan
2026	J	`jnl`	UniQueR: Unified Query-based Feedforward 3D Reconstruction. CoRR Chensheng Peng, Quentin Herau, Jiezhi Yang, Yichen Xie, Yihan Hu, Wenzhao Zheng, Matthew Strong, Masayoshi Tomizuka, Wei Zhan
2025	A*	`conf`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-Based Autonomous Driving. ICRA Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2025	J	`jnl`	DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation. CoRR Haoshu Fang, Branden Romero, Yichen Xie, Arthur Hu, Bo-Ruei Huang, Juan Alvarez, Matthew Kim, Gabriel B. Margolis, Kavya Anbarasu, Masayoshi Tomizuka, Edward H. Adelson, Pulkit Agrawal
2025	A*	`conf`	DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes. CVPR Chensheng Peng, Chengwei Zhang, Yixiao Wang, Chenfeng Xu, Yichen Xie, Wenzhao Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
2025	J	`jnl`	DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning. CoRR Shuqi Zhao, Ke Yang, Yuxin Chen, Chenran Li, Yichen Xie, Xiang Zhang, Changhao Wang, Masayoshi Tomizuka
2025	A	`conf`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. IROS Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. CoRR Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	A*	`conf`	Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance. ICLR Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan
2025	A*	`conf`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. CVPR Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. CoRR Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Sel4FT: Annotation Selection for Pretraining-Finetuning With Distribution Shift. IEEE Trans. Pattern Anal. Mach. Intell. Han Lu, Yichen Xie, Mingyu Ding, Wei Zhan, Xiaokang Yang, Masayoshi Tomizuka, Junchi Yan
2025	A*	`conf`	TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection. ICRA Philip L. Jacobson, Yichen Xie, Mingyu Ding, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Ming C. Wu
2025	A*	`conf`	X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios. ICLR Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander T. Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan
2024	J	`jnl`	Boundary Matters: A Bi-Level Active Finetuning Framework. CoRR Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	Boundary Matters: A Bi-Level Active Finetuning Method. NeurIPS Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
2024	J	`jnl`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2024	J	`jnl`	DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes. CoRR Chensheng Peng, Chengwei Zhang, Yixiao Wang, Chenfeng Xu, Yichen Xie, Wenzhao Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
2024	—	`conf`	Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. ECCV (29) Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. CoRR Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. CoRR Han Lu, Siyu Sun, Yichen Xie, Liqing Zhang, Xiaokang Yang, Junchi Yan
2024	J	`jnl`	RoadBEV: Road Surface Reconstruction in Bird's Eye View. CoRR Tong Zhao, Lei Yang, Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Yintao Wei
2024	J	`jnl`	RoadBEV: Road Surface Reconstruction in Bird's Eye View. IEEE Trans. Intell. Transp. Syst. Tong Zhao, Lei Yang, Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Yintao Wei
2024	Misc	`conf`	Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. CoRL Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka
2024	J	`jnl`	Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. CoRR Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka
2024	J	`jnl`	TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection. CoRR Philip L. Jacobson, Yichen Xie, Mingyu Ding, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Ming C. Wu
2024	J	`jnl`	X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios. CoRR Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander T. Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
2023	A*	`conf`	Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CVPR Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CoRR Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains. IEEE Trans. Robotics Haoshu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, Cewu Lu
2023	A*	`conf`	SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. ICCV Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. CoRR Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
2023	A*	`conf`	Towards Free Data Selection with General-Purpose Models. NeurIPS Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Towards Free Data Selection with General-Purpose Models. CoRR Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
2023	A*	`conf`	Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. ICRA Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
2022	J	`jnl`	AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains. CoRR Haoshu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, Cewu Lu
2022	J	`jnl`	Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. CoRR Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
2021	A*	`conf`	DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. AAAI Haoshu Fang, Yichen Xie, Dian Shao, Cewu Lu
2021	A*	`conf`	DecAug: Augmenting HOI Detection via Decomposition. AAAI Haoshu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu
2021	A*	`conf`	Interpreting Multivariate Shapley Interactions in DNNs. AAAI Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang
2021	A*	`conf`	Interpreting and Boosting Dropout from a Game-Theoretic View. ICLR Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
2021	A*	`conf`	Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. ICCV Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu
2021	J	`jnl`	Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. CoRR Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu
2021	J	`jnl`	Towards General and Efficient Active Learning. CoRR Yichen Xie, Masayoshi Tomizuka, Wei Zhan
2020	J	`jnl`	DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. CoRR Haoshu Fang, Yichen Xie, Dian Shao, Cewu Lu
2020	J	`jnl`	DecAug: Augmenting HOI Detection via Decomposition. CoRR Yichen Xie, Haoshu Fang, Dian Shao, Yong-Lu Li, Cewu Lu
2020	J	`jnl`	Interpreting Multivariate Interactions in DNNs. CoRR Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang
2020	J	`jnl`	Interpreting and Boosting Dropout from a Game-Theoretic View. CoRR Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang