Jiachen Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 68

Top Topics

Highly Interactive

Partially Observable Environments

Motion Prediction

Autonomous Driving

Top Venues

Publications

Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR (2024)
Bernard Lange, Masha Itkina, Jiachen Li, Mykel J. Kochenderfer
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving. CoRR (2024)
Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer
Graph Q-Learning for Combinatorial Optimization. CoRR (2024)
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
Disentangled Neural Relational Inference for Interpretable Motion Prediction. IEEE Robotics Autom. Lett. 9 (2) (2024)
Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts. ICRA (2024)
Jinning Li, Jiachen Li, Sangjae Bae, David Isele
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR (2024)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. IV (2024)
Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV (2024)
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. ICRA (2024)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics 40 (2024)
Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. AAMAS (2024)
Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts. CoRR (2024)
Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. CoRR (2024)
Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR (2024)
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
Disentangled Neural Relational Inference for Interpretable Motion Prediction. CoRR (2024)
Zhuoyuan Wu, Yuping Wang, Hengbo Ma, Zhaowei Li, Hang Qiu, Jiachen Li
CMP: Cooperative Motion Prediction with Multi-Agent Communication. CoRR (2024)
Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. CoRR (2023)
Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li
DRAMA: Joint Risk Localization and Captioning in Driving. WACV (2023)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR (2023)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR (2023)
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC (2023)
Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
Interaction Modeling with Multiplex Attention. CoRR (2022)
Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, Chiho Choi
Important Object Identification with Semi-Supervised Learning for Autonomous Driving. ICRA (2022)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. IROS (2022)
Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. CoRR (2022)
Hengbo Ma, Jiachen Li, Ramtin Hosseini, Masayoshi Tomizuka, Chiho Choi
Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation. CVPR (2022)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. CoRR (2022)
Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, Chiho Choi
Important Object Identification with Semi-Supervised Learning for Autonomous Driving. CoRR (2022)
Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Joshua B. Tenenbaum, Chuang Gan
Learning Physical Dynamics with Subequivariant Graph Neural Networks. CoRR (2022)
Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li
DRAMA: Joint Risk Localization and Captioning in Driving. CoRR (2022)
Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
Learning Physical Dynamics with Subequivariant Graph Neural Networks. NeurIPS (2022)
Rui Zhou, Hongyu Zhou, Huidong Gao, Masayoshi Tomizuka, Jiachen Li, Zhuo Xu
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. ICRA (2022)
Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. CoRR (2021)
Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
LOKI: Long Term and Key Intentions for Trajectory Prediction. CoRR (2021)
Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
LOKI: Long Term and Key Intentions for Trajectory Prediction. ICCV (2021)
Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla
Shared Cross-Modal Trajectory Prediction for Autonomous Driving. CVPR (2021)
Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Spectral Temporal Graph Neural Network for Trajectory Prediction. CoRR (2021)
Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. ICCV (2021)
Hengbo Ma, Yaofeng Sun, Jiachen Li, Masayoshi Tomizuka, Chiho Choi
Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory. IEEE Robotics Autom. Lett. 6 (4) (2021)
Rui Zhou, Hongyu Zhou, Masayoshi Tomizuka, Jiachen Li, Zhuo Xu
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. CoRR (2021)
Hengbo Ma, Yaofeng Sun, Jiachen Li, Masayoshi Tomizuka
Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge. ITSC (2021)
Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. CoRR (2021)
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. ICRA (2021)
Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Spectral Temporal Graph Neural Network for Trajectory Prediction. ICRA (2021)
Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning. NeurIPS (2020)
Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla
Shared Cross-Modal Trajectory Prediction for Autonomous Driving. CoRR (2020)
Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi
EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs. CoRR (2020)
Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network. CoRR (2020)
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. CoRR (2020)
Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 21 (9) (2020)
Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. CoRR (2019)
Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. CoRR (2019)
Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning. ICRA (2019)
Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Conditional Generative Neural System for Probabilistic Trajectory Prediction. CoRR (2019)
Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. IV (2019)
Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning. CoRR (2019)
Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Conditional Generative Neural System for Probabilistic Trajectory Prediction. IROS (2019)
Hengbo Ma, Jiachen Li, Wei Zhan, Masayoshi Tomizuka
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction. IV (2019)
Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. CoRR (2018)
Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. CoRR (2018)
Jiachen Li, Wei Zhan, Masayoshi Tomizuka
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter. Intelligent Vehicles Symposium (2018)
Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. ITSC (2018)
Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. ITSC (2018)
Jiachen Li, Wei Zhan, Masayoshi Tomizuka
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter. CoRR (2018)
Wei Zhan, Jiachen Li, Yeping Hu, Masayoshi Tomizuka
Safe and feasible motion generation for autonomous driving via constrained policy net. IECON (2017)