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 001; Jie Liu (CIS, 2016)

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). - Yun Bai; Tianjun Zhang; Gaochang Zhao 001; Jie Liu (计算机科学, 2017)

GenAx: A Genome Sequencing Accelerator. - Daichi Fujiki; Arun Subramaniyan 001; Tianjun Zhang; Yu Zeng; Reetuparna Das; David T. Blaauw; Satish Narayanasamy (ISCA, 2018)

AI Matrix - Synthetic Benchmarks for DNN. - Wei Wei 021; Lingjie Xu; Lingling Jin; Wei Zhang 127; Tianjun Zhang (CoRR, 2018)

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. - Yifan Yang; Qijing Huang 001; Bichen Wu; Tianjun Zhang; Liang Ma 003; Giulio Gambardella; Michaela Blott; Luciano Lavagno; Kees A. Vissers; John Wawrzynek; Kurt Keutzer (FPGA, 2019)

ANODEV2: A Coupled Neural ODE Framework. - Tianjun Zhang; Zhewei Yao; Amir Gholami; Joseph E. Gonzalez; Kurt Keutzer; Michael W. Mahoney; George Biros (NeurIPS, 2019)

ANODEV2: A Coupled Neural ODE Evolution Framework. - Tianjun Zhang; Zhewei Yao; Amir Gholami; Kurt Keutzer; Joseph Gonzalez 001; George Biros; Michael W. Mahoney (CoRR, 2019)

A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array. - Zhehong Wang; Tianjun Zhang; Daichi Fujiki; Arun Subramaniyan 001; Xiao Wu 002; Makoto Yasuda; Satoru Miyoshi; Masaru Kawaminami; Reetuparna Das; Satish Narayanasamy; David T. Blaauw (CICC, 2020)

Oecs: Towards Online Extrinsics Correction For The Surround-View System. - Tianjun Zhang; Lin Zhang 014; Ying Shen 005; Yong Ma; Shengjie Zhao 001; Yicong Zhou (ICME, 2020)

A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking. - Xuan Shao; Lin Zhang 014; Tianjun Zhang; Ying Shen 005; Hongyu Li 001; Yicong Zhou (ACM Multimedia, 2020)

Multi-Agent Collaboration via Reward Attribution Decomposition. - Tianjun Zhang; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013; Kurt Keutzer; Joseph E. Gonzalez; Yuandong Tian (CoRR, 2020)

BeBold: Exploration Beyond the Boundary of Explored Regions. - Tianjun Zhang; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013; Kurt Keutzer; Joseph E. Gonzalez; Yuandong Tian (CoRR, 2020)

Contrastive Code Representation Learning. - Paras Jain 001; Ajay Jain; Tianjun Zhang; Pieter Abbeel; Joseph Gonzalez 001; Ion Stoica (EMNLP (1), 2021)

ROECS: A Robust Semi-direct Pipeline Towards Online Extrinsics Correction of the Surround-view System. - Tianjun Zhang; Brian Nlong Zhao; Ying Shen 005; Xuan Shao; Lin Zhang 014; Yicong Zhou (ACM Multimedia, 2021)

Learning Space Partitions for Path Planning. - Kevin Yang; Tianjun Zhang; Chris Cummins; Brandon Cui; Benoit Steiner; Linnan Wang; Joseph E. Gonzalez; Dan Klein 001; Yuandong Tian (NeurIPS, 2021)

MADE: Exploration via Maximizing Deviation from Explored Regions. - Tianjun Zhang; Paria Rashidinejad; Jiantao Jiao; Yuandong Tian; Joseph E. Gonzalez; Stuart Russell 001 (NeurIPS, 2021)

NovelD: A Simple yet Effective Exploration Criterion. - Tianjun Zhang; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013; Kurt Keutzer; Joseph E. Gonzalez; Yuandong Tian (NeurIPS, 2021)

Multi-objective Optimization by Learning Space Partitions. - Yiyang Zhao; Linnan Wang; Kevin Yang; Tianjun Zhang; Tian Guo 001; Yuandong Tian (CoRR, 2021)

A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array. - Zhehong Wang; Tianjun Zhang; Daichi Fujiki; Arun Subramaniyan 001; Xiao Wu 002; Makoto Yasuda; Satoru Miyoshi; Masaru Kawaminami; Reetuparna Das; Satish Narayanasamy; David T. Blaauw (IEEE J. Solid State Circuits, 2021)

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. - Tianjun Zhang; Benjamin Eysenbach; Ruslan Salakhutdinov; Sergey Levine; Joseph E. Gonzalez (ICLR, 2022)

Multi-objective Optimization by Learning Space Partition. - Yiyang Zhao; Linnan Wang; Kevin Yang; Tianjun Zhang; Tian Guo 001; Yuandong Tian (ICLR, 2022)

Towards Underwater Image Restoration: A Physical-Accurate Pipeline and a Large Scale Full-Reference Benchmark. - Jiayan Tong; Tianjun Zhang; Lin Zhang 014 (ICME, 2022)

Making Linear MDPs Practical via Contrastive Representation Learning. - Tianjun Zhang; Tongzheng Ren; Mengjiao Yang 001; Joseph Gonzalez 001; Dale Schuurmans; Bo Dai 001 (ICML, 2022)

CLUT-Net: Learning Adaptively Compressed Representations of 3DLUTs for Lightweight Image Enhancement. - Fengyi Zhang; Hui Zeng; Tianjun Zhang; Lin Zhang 014 (ACM Multimedia, 2022)

Contrastive Learning as Goal-Conditioned Reinforcement Learning. - Benjamin Eysenbach; Tianjun Zhang; Sergey Levine; Ruslan Salakhutdinov (NeurIPS, 2022)

A free lunch from the noise: Provable and practical exploration for representation learning. - Tongzheng Ren; Tianjun Zhang; Csaba Szepesvári; Bo Dai 001 (UAI, 2022)

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. - Zhengyao Jiang; Tianjun Zhang; Robert Kirk; Tim Rocktäschel; Edward Grefenstette (CoRR, 2022)

TEMPERA: Test-Time Prompting via Reinforcement Learning. - Tianjun Zhang; Xuezhi Wang 002; Denny Zhou; Dale Schuurmans; Joseph E. Gonzalez (CoRR, 2022)

MOFISSLAM: A Multi-Object Semantic SLAM System With Front-View, Inertial, and Surround-View Sensors for Indoor Parking. - Xuan Shao; Lin Zhang 014; Tianjun Zhang; Ying Shen 005; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2022)

CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM. - Tianjun Zhang; Lin Zhang 014; Yang Chen 037; Yicong Zhou (IEEE Trans. Image Process., 2022)

Online Correction of Camera Poses for the Surround-view System: A Sparse Direct Approach. - Tianjun Zhang; Hao Deng 002; Lin Zhang 014; Shengjie Zhao 001; Xiao Liu 030; Yicong Zhou (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Efficient Planning in a Compact Latent Action Space. - Zhengyao Jiang; Tianjun Zhang; Michael Janner; Yueying Li; Tim Rocktäschel; Edward Grefenstette; Yuandong Tian (ICLR, 2023)

Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. - Yueying Li; Daochen Zha; Tianjun Zhang; G. Edward Suh; Christina Delimitrou; Francis Y. Yan (Tiny Papers @ ICLR, 2023)

Latent Variable Representation for Reinforcement Learning. - Tongzheng Ren; Chenjun Xiao; Tianjun Zhang; Na Li 002; Zhaoran Wang 001; Sujay Sanghavi; Dale Schuurmans; Bo Dai 001 (ICLR, 2023)

Spectral Decomposition Representation for Reinforcement Learning. - Tongzheng Ren; Tianjun Zhang; Lisa Lee; Joseph E. Gonzalez; Dale Schuurmans; Bo Dai 001 (ICLR, 2023)

TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. - Tianjun Zhang; Xuezhi Wang 002; Denny Zhou; Dale Schuurmans; Joseph E. Gonzalez (ICLR, 2023)

Adaptively Hashing 3DLUTs for Lightweight Real-time Image Enhancement. - Fengyi Zhang; Lin Zhang; Tianjun Zhang; Dongqing Wang (ICME, 2023)

The Wisdom of Hindsight Makes Language Models Better Instruction Followers. - Tianjun Zhang; Fangchen Liu; Justin Wong; Pieter Abbeel; Joseph E. Gonzalez (ICML, 2023)

Energy-based Predictive Representations for Partially Observed Reinforcement Learning. - Tianjun Zhang; Tongzheng Ren; Chenjun Xiao; Wenli Xiao; Joseph E. Gonzalez; Dale Schuurmans; Bo Dai 001 (UAI, 2023)

Controllable Text-to-Image Generation with GPT-4. - Tianjun Zhang; Yi Zhang 001; Vibhav Vineet; Neel Joshi; Xin Wang 066 (CoRR, 2023)

Iterative Prompt Relabeling for diffusion model with RLDF. - Jiaxin Ge; Xinyan Chen 001; Tianjun Zhang; Shanghang Zhang (CoRR, 2023)

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training. - Xinyan Chen 001; Jiaxin Ge; Tianjun Zhang; Jiaming Liu 003; Shanghang Zhang (EMNLP (Findings), 2024)

LLoCO: Learning Long Contexts Offline. - Sijun Tan; Xiuyu Li; Shishir G. Patil; Ziyang Wu; Tianjun Zhang; Kurt Keutzer; Joseph Gonzalez 001; Raluca A. Popa (EMNLP, 2024)

AgentBench: Evaluating LLMs as Agents. - Xiao Liu 036; Hao Yu; Hanchen Zhang; Yifan Xu; Xuanyu Lei; Hanyu Lai; Yu Gu 016; Hangliang Ding; Kaiwen Men; Kejuan Yang; Shudan Zhang; Xiang Deng 001; et al. (ICLR, 2024)

LLM-Assisted Code Cleaning For Training Accurate Code Generators. - Naman Jain; Tianjun Zhang; Wei-Lin Chiang; Joseph E. Gonzalez; Koushik Sen; Ion Stoica (ICLR, 2024)

R2E: Turning any Github Repository into a Programming Agent Environment. - Naman Jain; Manish Shetty; Tianjun Zhang; King Han; Koushik Sen; Ion Stoica (ICML, 2024)

In-Context Principle Learning from Mistakes. - Tianjun Zhang; Aman Madaan; Luyu Gao; Steven Zheng; Swaroop Mishra; Yiming Yang; Niket Tandon; Uri Alon 002 (ICML, 2024)

Gorilla: Large Language Model Connected with Massive APIs. - Shishir G. Patil; Tianjun Zhang; Xin Wang 066; Joseph E. Gonzalez (NeurIPS, 2024)

Recursive Introspection: Teaching Language Model Agents How to Self-Improve. - Yuxiao Qu; Tianjun Zhang; Naman Garg; Aviral Kumar (NeurIPS, 2024)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Shiyi Cao; Minkai Xu; Wentao Zhang 001; Joseph E. Gonzalez; Bin Cui 001 (NeurIPS, 2024)

Multitask Vision-Language Prompt Tuning. - Sheng Shen 001; Shijia Yang; Tianjun Zhang; Bohan Zhai; Joseph E. Gonzalez; Kurt Keutzer; Trevor Darrell (WACV, 2024)

RAFT: Adapting Language Model to Domain Specific RAG. - Tianjun Zhang; Shishir G. Patil; Naman Jain; Sheng Shen 001; Matei Zaharia; Ion Stoica; Joseph E. Gonzalez (CoRR, 2024)

GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications. - Shishir G. Patil; Tianjun Zhang; Vivian Fang; Noppapon C.; Roy Huang; Aaron Hao; Martin Casado; Joseph E. Gonzalez; Raluca Ada Popa; Ion Stoica (CoRR, 2024)

Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling. - Fengyi Zhang; Tianjun Zhang; Lin Zhang; Helen Huang; Yadan Luo (CoRR, 2024)

SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Minkai Xu; Joseph E. Gonzalez; Bin Cui 001; Shuicheng Yan (CoRR, 2024)

A new oversampling-based full-duplex radar jamming method with a single antenna. - Kaixiang Zhang 003; Tianjun Zhang; Zhennan Liang; Xinliang Chen; Quanhua Liu 002 (Digit. Signal Process., 2024)

MC-VEO: A Visual-Event Odometry With Accurate 6-DoF Motion Compensation. - Jiafeng Huang; Shengjie Zhao 001; Tianjun Zhang; Lin Zhang 014 (IEEE Trans. Intell. Veh., 2024)

An Underwater Organism Image Dataset and a Lightweight Module Designed for Object Detection Networks. - Jiafeng Huang; Tianjun Zhang; Shengjie Zhao 001; Lin Zhang 014; Yicong Zhou (ACM Trans. Multim. Comput. Commun. Appl., 2024)

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Minkai Xu; Joseph E. Gonzalez; Bin Cui 001; Shuicheng Yan (ICLR, 2025)

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 001; Armando Solar-Lezama; Koushik Sen; Ion Stoica (ICLR, 2025)

Digital twin based intelligent control system on gas extraction from boreholes and experimental research. - Suinan He; Hongyu Pan; Shuang Song; Tianjun Zhang; Juntao Chen; Guoying Liu; Xinshuang Cao; Yilun Xue (Eng. Appl. Artif. Intell., 2025)

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 (CoRR, 2025)

Autellix: 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 (CoRR, 2025)

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces. - Jordi Armengol-Estapé; Quentin Carbonneaux; Tianjun Zhang; Aram H. Markosyan; Volker Seeker; Chris Cummins; Melanie Kambadur; Michael F. P. O'Boyle; Sida I. Wang; Gabriel Synnaeve; Hugh James Leather (CoRR, 2025)

I-DACS: Always Maintaining Consistency Between Poses and the Field for Radiance Field Construction Without Pose Prior. - Tianjun Zhang; Lin Zhang 014; Fengyi Zhang; Shengjie Zhao 001; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2025)

TES-CVIDS: A Transmission Efficient Sub-Map Based Collaborative Dense VI-SLAM Framework. - Tianjun Zhang; Lin Zhang 014; Fengyi Zhang; Shengjie Zhao 001; Yicong Zhou (IEEE Trans. Intell. Veh., 2025)

Towards a Robust Visual-Inertial-Surround-View SLAM System for Autonomous Indoor Parking. - Xuan Shao; Lin Zhang 014; Tianjun Zhang; Shengjie Zhao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)