Zuxin Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
10
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. | Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2025 | ACL | PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. | Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke |
| 2025 | ACL | Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training. | Yihang Yao, Zhepeng Cen, Miao Li, William Han, Yuyou Zhang, Emerson Liu, Zuxin Liu, Chuang Gan, Ding Zhao |
| 2025 | EMNLP | MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. | Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | EMNLP | SlackAgents: Scalable Collaboration of AI Agents in Workspaces. | Zhiwei Liu, Weiran Yao, Zuxin Liu, Juntao Tan, Jianguo Zhang, Frank Wang, Sukhandeep Nahal, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong |
| 2025 | EMNLP | ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. | Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2025 | ICLR | Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. | Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | NAACL | xLAM: A Family of Large Action Models to Empower AI Agent Systems. | Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2024 | AISTATS | Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2024 | CoRL | EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. | Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor |
| 2024 | ICLR | Learning from Sparse Offline Datasets via Conservative Density Estimation. | Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao |
| 2024 | ICLR | TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. | Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor |
| 2024 | ICML | Feasibility Consistent Representation Learning for Safe Reinforcement Learning. | Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao |
| 2024 | ICRA | Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. | Ye Li, Hanjiang Hu, Zuxin Liu, Xiaohao Xu, Xiaonan Huang, Ding Zhao |
| 2024 | ICRA | Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. | Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held |
| 2023 | ICLR | On the Robustness of Safe Reinforcement Learning under Observational Perturbations. | Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao |
| 2023 | ICML | Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. | Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao |
| 2023 | ICML | Constrained Decision Transformer for Offline Safe Reinforcement Learning. | Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao |
| 2023 | IROS | SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. | Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang |
| 2022 | CoRL | Robustness Certification of Visual Perception Models via Camera Motion Smoothing. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2022 | CVPR | Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. | Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao |
| 2022 | ICML | Constrained Variational Policy Optimization for Safe Reinforcement Learning. | Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao |
| 2021 | ICRA | Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. | Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao |
| 2020 | IROS | MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. | Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao |
| 2019 | ICRA | Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. | Zuxin Liu, Mansur Arief, Ding Zhao |
| 2018 | IROS | DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments. | Chao Yu, Zuxin Liu, Xin-Jun Liu, Fugui Xie, Yi Yang, Qi Wei, Fei Qiao |