Hi, I'm Jiachen Li (李嘉琛). I am a Member of Technical Staff at xAI. I received my PhD in Computer Science from UC Santa Barbara. My advisor is William Wang.
I am currently working on visual generation.
I am the Team Lead of Team GauchoAI. We won the 2nd place🥈 at the Alexa Prize SimBot Challenge, winning $10,000 cash!
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
Preprint [Arxiv] [PDF] [Project Page]
Yiming Jia, Jiachen Li, Xiang Yue, Bo Li, Ping Nie, Kai Zou, Wenhu Chen
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
ICLR 2025 [Arxiv] [PDF] [Project Page]
Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
ICLR 2025 [Arxiv] [PDF][Project Page]
Xuehai He, Weixi Feng*, Kaizhi Zheng*, Yujie Lu*, Wanrong Zhu*, Jiachen Li*, Yue Fan*, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
In Submission [Arxiv] [PDF] [Project Page]
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
NeurIPS 2024 [Arxiv] [PDF] [Project Page]
Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
Reward Guided Latent Consistency Distillation
TMLR (Featured Certification) [PDF] [Project Page]
Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang
Mastering Robot Manipulation with Multimodal Prompts Through Pretraining and Multi-task Finetuning
ICML 2024 [arxiv]
Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Suhaila Shakiah, Hangjie Shi, Reza Ghanadan, William Yang Wang
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
ICML 2023 [ArXiv][Project Page]
Offline RL Workshop at NeurIPS, 2022
Jiachen Li*, Edwin Zhang*, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
Deep RL workshop, NeurIPS 2022 [PDF]
Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai
A Game Theoretic Approach for Backscatter-Aided Relay Communications in Hybrid Radio Networks
in Proceedings of IEEE GLOBECOM, 2018 [PDF]
Jiachen Li, Shiming Gong, Chengming Li, Jing Xu, Xiaoxia Huang
Robust Spectrum Monitoring in Cognitive Radio Networks with Uncertain Traffic Information
IEEE Access [PDF]
Wenbo Xu, Jing Xu, Jiachen Li, Wei Liu, Shiming Gong, Kai Zeng
Robust Radio Mode Selection in Wirelessly Powered Communications with Uncertain Channel Information
in Proceedings of IEEE GLOBECOM, 2017 [PDF]
Jiachen Li, Jing Xu, Shiming Gong, Xiaoxia Huang, Ping Wang
Cooperative Multi-relay Assisted Multicast Beamforming in Wirelessly Powered Communications
in Proceedings of IEEE CIT, 2017 [PDF]
Jiachen Li, Yue Mi, Shiming Gong, Jing Xu, Xiaoxia Huang, Yanyan Shen
Robust Optimal Spectrum Patrolling for Passive Monitoring in Cognitive Radio Networks
in Proceedings of IEEE CIT, 2017 [PDF]
Jiachen Li, Jing Xu, Wei Liu, Shiming Gong, Kai Zeng