Jiachen Li

Orcid: 0000-0002-4883-697X

Affiliations:
  • University of California, Riverside, CA, USA
  • Stanford University, CA, USA (2021 - 2023)
  • University of California, Berkeley, CA, USA (PhD 2021)


According to our database1, Jiachen Li authored at least 62 papers between 2017 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Priority-Aware Multi-Robot Coverage Path Planning.
IEEE Robotics Autom. Lett., March, 2026

Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving.
CoRR, March, 2026

NavTrust: Benchmarking Trustworthiness for Embodied Navigation.
CoRR, March, 2026

Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams.
CoRR, March, 2026

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models.
CoRR, January, 2026

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction.
CoRR, May, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR, May, 2025

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution.
CoRR, May, 2025

CMP: Cooperative Motion Prediction With Multi-Agent Communication.
IEEE Robotics Autom. Lett., April, 2025

Can Large Vision Language Models Read Maps Like a Human?
CoRR, March, 2025

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting.
IEEE Robotics Autom. Lett., February, 2025

Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments.
IEEE Robotics Autom. Lett., February, 2025

CoMamba: Real-time Cooperative Perception Unlocked with State-Space Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

STAMP: Scalable Task- And Model-agnostic Collaborative Perception.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Uniocc: a Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning.
Proceedings of the 11th International Conference on Control, 2025

2024
Disentangled Neural Relational Inference for Interpretable Motion Prediction.
IEEE Robotics Autom. Lett., February, 2024

Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation.
IEEE Trans. Robotics, 2024

Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving.
CoRR, 2024

CMP: Cooperative Motion Prediction with Multi-Agent Communication.
CoRR, 2024

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation.
CoRR, 2024

Graph Q-Learning for Combinatorial Optimization.
CoRR, 2024

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
DRAMA: Joint Risk Localization and Captioning in Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Robust Driving Policy Learning with Guided Meta Reinforcement Learning.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking.
IEEE Trans. Intell. Transp. Syst., 2022

EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction.
CoRR, 2022

Interaction Modeling with Multiplex Attention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Physical Dynamics with Subequivariant Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Important Object Identification with Semi-Supervised Learning for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Relational Reasoning for Multi-Agent Systems
PhD thesis, 2021

Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory.
IEEE Robotics Autom. Lett., 2021

Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting.
CoRR, 2021

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Spectral Temporal Graph Neural Network for Trajectory Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LOKI: Long Term and Key Intentions for Trajectory Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Shared Cross-Modal Trajectory Prediction for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2020

EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs.
CoRR, 2020

Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network.
CoRR, 2020

EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Conditional Generative Neural System for Probabilistic Trajectory Prediction.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Safe and feasible motion generation for autonomous driving via constrained policy net.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017


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