Jiachen Li - RankMe

97 papers A* 16A 8B 1C 5Journal 61Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models. CoRR Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He
2026	J	`jnl`	Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving. CoRR Zehao Wang, Huaide Jiang, Shuaiwu Dong, Yuping Wang, Hang Qiu, Jiachen Li
2026	J	`jnl`	NavTrust: Benchmarking Trustworthiness for Embodied Navigation. CoRR Huaide Jiang, Yash Chaudhary, Yuping Wang, Zehao Wang, Raghav Sharma, Manan Mehta, Yang Zhou, Lichao Sun, Zhiwen Fan, Zhengzhong Tu, Jiachen Li
2026	J	`jnl`	Priority-Aware Multi-Robot Coverage Path Planning. CoRR Kanghoon Lee, HyeonJun Kim, Jiachen Li, Jinkyoo Park
2026	J	`jnl`	Priority-Aware Multi-Robot Coverage Path Planning. IEEE Robotics Autom. Lett. Kanghoon Lee, HyeonJun Kim, Jiachen Li, Jinkyoo Park
2026	J	`jnl`	Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams. CoRR Piyush Gupta, Sangjae Bae, Jiachen Li, David Isele
2026	A*	`conf`	TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution. AAAI Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. IEEE Robotics Autom. Lett. Jinning Li, Jiachen Li, Sangjae Bae, David Isele
2025	J	`jnl`	CMP: Cooperative Motion Prediction With Multi-Agent Communication. IEEE Robotics Autom. Lett. Zehao Wang, Yuping Wang, Zhuoyuan Wu, Hengbo Ma, Zhaowei Li, Hang Qiu, Jiachen Li
2025	J	`jnl`	Can Large Vision Language Models Read Maps Like a Human? CoRR Shuo Xing, Zezhou Sun, Shuangyu Xie, Kaiyuan Chen, Yanjia Huang, Yuping Wang, Jiachen Li, Dezhen Song, Zhengzhong Tu
2025	A	`conf`	CoMamba: Real-time Cooperative Perception Unlocked with State-Space Models. IROS Jinlong Li, Xinyu Liu, Baolu Li, Runsheng Xu, Jiachen Li, Hongkai Yu, Zhengzhong Tu
2025	J	`jnl`	Generative AI for Autonomous Driving: Frontiers and Opportunities. CoRR Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025	A	`conf`	Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm. IROS HyeonJun Kim, Kanghoon Lee, Junho Park, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm. CoRR HyeonJun Kim, Kanghoon Lee, Junho Park, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. IEEE Robotics Autom. Lett. Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
2025	C	`conf`	Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning. CoDIT Victoria Magdalena Dax, Zhi Li, Xiaowei Zhang, Hemabh Shekhar, Jiachen Li, Mykel J. Kochenderfer
2025	J	`jnl`	STAMP: Scalable Task And Model-agnostic Collaborative Perception. CoRR Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu
2025	A*	`conf`	STAMP: Scalable Task- And Model-agnostic Collaborative Perception. ICLR Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu
2025	J	`jnl`	TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution. CoRR Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution. CoRR Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving. CoRR Yuping Wang, Xiangyu Huang, Xiaokang Sun, Mingxuan Yan, Shuo Xing, Zhengzhong Tu, Jiachen Li
2025	J	`jnl`	VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan
2024	J	`jnl`	Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR Jinning Li, Jiachen Li, Sangjae Bae, David Isele
2024	J	`jnl`	CMP: Cooperative Motion Prediction with Multi-Agent Communication. CoRR Zhuoyuan Wu, Yuping Wang, Hengbo Ma, Zhaowei Li, Hang Qiu, Jiachen Li
2024	J	`jnl`	CoMamba: Real-time Cooperative Perception Unlocked with State Space Models. CoRR Jinlong Li, Xinyu Liu, Baolu Li, Runsheng Xu, Jiachen Li, Hongkai Yu, Zhengzhong Tu
2024	J	`jnl`	Disentangled Neural Relational Inference for Interpretable Motion Prediction. CoRR Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
2024	J	`jnl`	Disentangled Neural Relational Inference for Interpretable Motion Prediction. IEEE Robotics Autom. Lett. Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
2024	A	`conf`	ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. AAMAS Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
2024	J	`jnl`	ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. CoRR Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
2024	J	`jnl`	Graph Q-Learning for Combinatorial Optimization. CoRR Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer
2024	J	`jnl`	Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
2024	J	`jnl`	Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2024	A*	`conf`	MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts. ICRA Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
2024	J	`jnl`	MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts. CoRR Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
2024	J	`jnl`	Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer
2024	C	`conf`	Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. IV Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2024	A	`conf`	Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush
2024	A*	`conf`	Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. ICRA Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
2024	J	`jnl`	Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving. CoRR Bernard Lange, Masha Itkina, Jiachen Li, Mykel J. Kochenderfer
2023	A	`conf`	DRAMA: Joint Risk Localization and Captioning in Driving. WACV Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li
2023	J	`jnl`	Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. CoRR Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2023	J	`jnl`	Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. CoRR Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer
2023	—	`conf`	Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. CoRR Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
2022	J	`jnl`	DRAMA: Joint Risk Localization and Captioning in Driving. CoRR Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li
2022	A	`conf`	Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. IROS Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2022	J	`jnl`	Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. CoRR Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2022	J	`jnl`	EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. CoRR Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer
2022	A*	`conf`	Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. ICRA Rui Zhou, Hongyu Zhou, Huidong Gao, Masayoshi Tomizuka, Jiachen Li, Zhuo Xu
2022	A*	`conf`	Important Object Identification with Semi-Supervised Learning for Autonomous Driving. ICRA Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, Chiho Choi
2022	J	`jnl`	Important Object Identification with Semi-Supervised Learning for Autonomous Driving. CoRR Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, Chiho Choi
2022	A*	`conf`	Interaction Modeling with Multiplex Attention. NeurIPS Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
2022	J	`jnl`	Interaction Modeling with Multiplex Attention. CoRR Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
2022	A*	`conf`	Learning Physical Dynamics with Subequivariant Graph Neural Networks. NeurIPS Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
2022	J	`jnl`	Learning Physical Dynamics with Subequivariant Graph Neural Networks. CoRR Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Joshua B. Tenenbaum, Chuang Gan
2022	A*	`conf`	Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation. CVPR Hengbo Ma, Jiachen Li, Ramtin Hosseini, Masayoshi Tomizuka, Chiho Choi
2022	J	`jnl`	Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. IEEE Trans. Intell. Transp. Syst. Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka
2021	—	`conf`	Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. ITSC Lianzhen Wei, Zirui Li, Jianwei Gong, Cheng Gong, Jiachen Li
2021	J	`jnl`	Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. CoRR Lianzhen Wei, Zirui Li, Jianwei Gong, Cheng Gong, Jiachen Li
2021	J	`jnl`	Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory. IEEE Robotics Autom. Lett. Hengbo Ma, Yaofeng Sun, Jiachen Li, Masayoshi Tomizuka, Chiho Choi
2021	J	`jnl`	Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. CoRR Rui Zhou, Hongyu Zhou, Masayoshi Tomizuka, Jiachen Li, Zhuo Xu
2021	A*	`conf`	LOKI: Long Term and Key Intentions for Trajectory Prediction. ICCV Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
2021	J	`jnl`	LOKI: Long Term and Key Intentions for Trajectory Prediction. CoRR Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
2021	—	`conf`	Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge. ITSC Hengbo Ma, Yaofeng Sun, Jiachen Li, Masayoshi Tomizuka
2021	A	`conf`	Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot. IROS Cheng Gong, Zirui Li, Xingyu Zhou, Jiachen Li, Junhui Zhou, Jianwei Gong
2021	J	`jnl`	Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot. CoRR Cheng Gong, Zirui Li, Xingyu Zhou, Jiachen Li, Jianwei Gong, Junhui Zhou
2021	A*	`conf`	RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. ICCV Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi
2021	J	`jnl`	RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. CoRR Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi
2021	A*	`conf`	Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. ICRA Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
2021	—	`—`	Relational Reasoning for Multi-Agent Systems Jiachen Li
2021	A*	`conf`	Shared Cross-Modal Trajectory Prediction for Autonomous Driving. CVPR Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla
2021	J	`jnl`	Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. CoRR Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka
2021	A*	`conf`	Spectral Temporal Graph Neural Network for Trajectory Prediction. ICRA Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2021	J	`jnl`	Spectral Temporal Graph Neural Network for Trajectory Prediction. CoRR Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2020	J	`jnl`	EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs. CoRR Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi
2020	A*	`conf`	EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning. NeurIPS Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi
2020	J	`jnl`	Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka
2020	J	`jnl`	Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. CoRR Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
2020	J	`jnl`	Shared Cross-Modal Trajectory Prediction for Autonomous Driving. CoRR Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla
2020	J	`jnl`	Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network. CoRR Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka
2019	A	`conf`	Conditional Generative Neural System for Probabilistic Trajectory Prediction. IROS Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2019	J	`jnl`	Conditional Generative Neural System for Probabilistic Trajectory Prediction. CoRR Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2019	C	`conf`	Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. IV Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
2019	J	`jnl`	Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. CoRR Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
2019	J	`jnl`	Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. CoRR Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka
2019	A*	`conf`	Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning. ICRA Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2019	J	`jnl`	Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning. CoRR Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2019	C	`conf`	Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction. IV Hengbo Ma, Jiachen Li, Wei Zhan, Masayoshi Tomizuka
2018	—	`conf`	Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. ITSC Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
2018	J	`jnl`	Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. CoRR Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
2018	B	`conf`	Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter. Intelligent Vehicles Symposium Jiachen Li, Wei Zhan, Masayoshi Tomizuka
2018	J	`jnl`	Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter. CoRR Jiachen Li, Wei Zhan, Masayoshi Tomizuka
2018	—	`conf`	Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. ITSC Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka
2018	J	`jnl`	Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. CoRR Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka
2017	C	`conf`	Safe and feasible motion generation for autonomous driving via constrained policy net. IECON Wei Zhan, Jiachen Li, Yeping Hu, Masayoshi Tomizuka