Tianjun Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 71

Top Topics

Reinforcement Learning

Top Venues

Publications

Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa
LLoCO: Learning Long Contexts Offline. CoRR (2024)
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. CoRR (2024)
Jiafeng Huang, Tianjun Zhang, Shengjie Zhao, Lin Zhang, Yicong Zhou
An Underwater Organism Image Dataset and a Lightweight Module Designed for Object Detection Networks. ACM Trans. Multim. Comput. Commun. Appl. 20 (5) (2024)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. WACV (2024)
Kaixiang Zhang, Tianjun Zhang, Zhennan Liang, Xinliang Chen, Quanhua Liu
A new oversampling-based full-duplex radar jamming method with a single antenna. Digit. Signal Process. 153 (2024)
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
LLM-Assisted Code Cleaning For Training Accurate Code Generators. ICLR (2024)
Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica
GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications. CoRR (2024)
Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
In-Context Principle Learning from Mistakes. CoRR (2024)
Jiafeng Huang, Shengjie Zhao, Tianjun Zhang, Lin Zhang
MC-VEO: A Visual-Event Odometry With Accurate 6-DoF Motion Compensation. IEEE Trans. Intell. Veh. 9 (1) (2024)
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
AgentBench: Evaluating LLMs as Agents. ICLR (2024)
Fengyi Zhang, Tianjun Zhang, Lin Zhang, Helen Huang, Yadan Luo
Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling. CoRR (2024)
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez
RAFT: Adapting Language Model to Domain Specific RAG. CoRR (2024)
Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR (2024)
Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
Recursive Introspection: Teaching Language Model Agents How to Self-Improve. CoRR (2024)
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Spectral Decomposition Representation for Reinforcement Learning. ICLR (2023)
Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. ICLR (2023)
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. CoRR (2023)
Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI (2023)
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR (2023)
Jiaxin Ge, Xinyan Chen, Tianjun Zhang, Shanghang Zhang
Iterative Prompt Relabeling for diffusion model with RLDF. CoRR (2023)
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. ICML (2023)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. ICLR (2023)
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
Efficient Planning in a Compact Latent Action Space. ICLR (2023)
Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR (2023)
Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
Controllable Text-to-Image Generation with GPT-4. CoRR (2023)
Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
Gorilla: Large Language Model Connected with Massive APIs. CoRR (2023)
Fengyi Zhang, Lin Zhang, Tianjun Zhang, Dongqing Wang
Adaptively Hashing 3DLUTs for Lightweight Real-time Image Enhancement. ICME (2023)
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
AgentBench: Evaluating LLMs as Agents. CoRR (2023)
Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR (2022)
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
Efficient Planning in a Compact Latent Action Space. CoRR (2022)
Fengyi Zhang, Hui Zeng, Tianjun Zhang, Lin Zhang
CLUT-Net: Learning Adaptively Compressed Representations of 3DLUTs for Lightweight Image Enhancement. ACM Multimedia (2022)
Tianjun Zhang, Lin Zhang, Yang Chen, Yicong Zhou
CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM. IEEE Trans. Image Process. 31 (2022)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. CoRR (2022)
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Making Linear MDPs Practical via Contrastive Representation Learning. CoRR (2022)
Benjamin Eysenbach, Tianjun Zhang, Ruslan Salakhutdinov, Sergey Levine
Contrastive Learning as Goal-Conditioned Reinforcement Learning. CoRR (2022)
Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR (2022)
Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
Multi-objective Optimization by Learning Space Partition. ICLR (2022)
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Spectral Decomposition Representation for Reinforcement Learning. CoRR (2022)
Tianjun Zhang, Hao Deng, Lin Zhang, Shengjie Zhao, Xiao Liu, Yicong Zhou
Online Correction of Camera Poses for the Surround-view System: A Sparse Direct Approach. ACM Trans. Multim. Comput. Commun. Appl. 18 (4) (2022)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. CoRR (2022)
Jiayan Tong, Tianjun Zhang, Lin Zhang
Towards Underwater Image Restoration: A Physical-Accurate Pipeline and a Large Scale Full-Reference Benchmark. ICME (2022)
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. ICLR (2022)
Xuan Shao, Lin Zhang, Tianjun Zhang, Ying Shen, Yicong Zhou
: A Multi-Object Semantic SLAM System With Front-View, Inertial, and Surround-View Sensors for Indoor Parking. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
A free lunch from the noise: Provable and practical exploration for representation learning. UAI (2022)
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
Making Linear MDPs Practical via Contrastive Representation Learning. ICML (2022)
Benjamin Eysenbach, Tianjun Zhang, Sergey Levine, Ruslan Salakhutdinov
Contrastive Learning as Goal-Conditioned Reinforcement Learning. NeurIPS (2022)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
Contrastive Code Representation Learning. EMNLP (1) (2021)
Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning. CoRR (2021)
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS (2021)
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR (2021)
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell
MADE: Exploration via Maximizing Deviation from Explored Regions. NeurIPS (2021)
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
Learning Space Partitions for Path Planning. CoRR (2021)
Tianjun Zhang, Nlong Zhao, Ying Shen, Xuan Shao, Lin Zhang, Yicong Zhou
ROECS: A Robust Semi-direct Pipeline Towards Online Extrinsics Correction of the Surround-view System. ACM Multimedia (2021)
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. CoRR (2021)
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
Learning Space Partitions for Path Planning. NeurIPS (2021)
Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
Multi-objective Optimization by Learning Space Partitions. CoRR (2021)
Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw
A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array. IEEE J. Solid State Circuits 56 (3) (2021)
Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw
A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array. CICC (2020)
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR (2020)
Xuan Shao, Lin Zhang, Tianjun Zhang, Ying Shen, Hongyu Li, Yicong Zhou
A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking. ACM Multimedia (2020)
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR (2020)
Tianjun Zhang, Lin Zhang, Ying Shen, Yong Ma, Shengjie Zhao, Yicong Zhou
Oecs: Towards Online Extrinsics Correction For The Surround-View System. ICME (2020)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica
Contrastive Code Representation Learning. CoRR (2020)
Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney
ANODEV2: A Coupled Neural ODE Evolution Framework. CoRR (2019)
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA (2019)
Tianjun Zhang, Zhewei Yao, Amir Gholami, Joseph E. Gonzalez, Kurt Keutzer, Michael W. Mahoney, George Biros
ANODEV2: A Coupled Neural ODE Framework. NeurIPS (2019)
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR (2018)
Daichi Fujiki, Arun Subramaniyan, Tianjun Zhang, Yu Zeng, Reetuparna Das, David T. Blaauw, Satish Narayanasamy
GenAx: A Genome Sequencing Accelerator. ISCA (2018)
Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang
AI Matrix - Synthetic Benchmarks for DNN. CoRR (2018)
Yun Bai, Tianjun Zhang, Gaochang Zhao, Jie Liu
基于均匀设计的差分进化算法的参数设定 (Parameter Establishment of Differential Evolution Algorithm Based on Uniform Design). 计算机科学 44 (6) (2017)
Tianjun Zhang, Yun Bai, Gao-chang Zhao, Jie Liu
Parameter Establishment of Differential Evolution Algorithm Based on Uniform Design and the Effect of Different Number of Levels. CIS (2016)