Tianjun Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
9
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NSDI | Agentix: An Efficient Serving Engine for LLM Agents as General Programs. | Michael Luo, Xiaoxiang Shi, Colin Cai, Tianjun Zhang, Justin Wong, Yichuan Wang, Chi Wang, Yanping Huang, Zhifeng Chen, Joseph E. Gonzalez, Ion Stoica |
| 2025 | ICLR | SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. | Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan |
| 2025 | ICLR | LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. | Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica |
| 2025 | ICML | Copilot Arena: A Platform for Code LLM Evaluation in the Wild. | Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar |
| 2024 | EMNLP | Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training. | Xinyan Chen, Jiaxin Ge, Tianjun Zhang, Jiaming Liu, Shanghang Zhang |
| 2024 | EMNLP | LLoCO: Learning Long Contexts Offline. | Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa |
| 2024 | ICLR | AgentBench: Evaluating LLMs as Agents. | Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2024 | ICLR | LLM-Assisted Code Cleaning For Training Accurate Code Generators. | Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica |
| 2024 | ICML | R2E: Turning any Github Repository into a Programming Agent Environment. | Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica |
| 2024 | ICML | In-Context Principle Learning from Mistakes. | Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon |
| 2024 | WACV | Multitask Vision-Language Prompt Tuning. | Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell |
| 2023 | ICLR | Efficient Planning in a Compact Latent Action Space. | Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktschel, Edward Grefenstette, Yuandong Tian |
| 2023 | ICLR | Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. | Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan |
| 2023 | ICLR | Latent Variable Representation for Reinforcement Learning. | Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai |
| 2023 | ICLR | Spectral Decomposition Representation for Reinforcement Learning. | Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai |
| 2023 | ICLR | TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. | Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez |
| 2023 | ICML | The Wisdom of Hindsight Makes Language Models Better Instruction Followers. | Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez |
| 2023 | UAI | Energy-based Predictive Representations for Partially Observed Reinforcement Learning. | Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai |
| 2022 | ICLR | C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. | Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez |
| 2022 | ICLR | Multi-objective Optimization by Learning Space Partition. | Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian |
| 2022 | ICML | Making Linear MDPs Practical via Contrastive Representation Learning. | Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai |
| 2022 | UAI | A free lunch from the noise: Provable and practical exploration for representation learning. | Tongzheng Ren, Tianjun Zhang, Csaba Szepesvri, Bo Dai |
| 2021 | EMNLP | Contrastive Code Representation Learning. | Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica |
| 2019 | FPGA | Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. | Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer |
| 2018 | ISCA | GenAx: A Genome Sequencing Accelerator. | Daichi Fujiki, Arun Subramaniyan, Tianjun Zhang, Yu Zeng, Reetuparna Das, David T. Blaauw, Satish Narayanasamy |
| 2016 | CIS | Parameter Establishment of Differential Evolution Algorithm Based on Uniform Design and the Effect of Different Number of Levels. | Tianjun Zhang, Yun Bai, Gao-chang Zhao, Jie Liu |