Tianjun Zhang - RankMe

92 papers A* 28A 7C 1Journal 52Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HiGS-Calib: A Hierarchical 3D Gaussian Splatting-Based Targetless Local-Consistent LiDAR-Camera Calibration Method. IEEE Trans. Circuits Syst. Video Technol. Tianjun Zhang, Lin Zhang, Hesheng Wang
2025	J	`jnl`	Autellix: An Efficient Serving Engine for LLM Agents as General Programs. CoRR Michael Luo, Xiaoxiang Shi, Colin Cai, Tianjun Zhang, Justin Wong, Yichuan Wang, Chi Wang, Yanping Huang, Zhifeng Chen, Joseph E. Gonzalez, Ion Stoica
2025	J	`jnl`	Budget-aware Test-time Scaling via Discriminative Verification. CoRR Kyle Montgomery, Sijun Tan, Yuqi Chen, Siyuan Zhuang, Tianjun Zhang, Raluca Ada Popa, Chenguang Wang
2025	A*	`conf`	Copilot Arena: A Platform for Code LLM Evaluation in the Wild. ICML Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
2025	J	`jnl`	Copilot Arena: A Platform for Code LLM Evaluation in the Wild. CoRR Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
2025	J	`jnl`	Digital twin based intelligent control system on gas extraction from boreholes and experimental research. Eng. Appl. Artif. Intell. Suinan He, Hongyu Pan, Shuang Song, Tianjun Zhang, Juntao Chen, Guoying Liu, Xinshuang Cao, Yilun Xue
2025	J	`jnl`	I-DACS: Always Maintaining Consistency Between Poses and the Field for Radiance Field Construction Without Pose Prior. IEEE Trans. Circuits Syst. Video Technol. Tianjun Zhang, Lin Zhang, Fengyi Zhang, Shengjie Zhao, Yicong Zhou
2025	A*	`conf`	LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. ICLR Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
2025	A*	`conf`	SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. ICLR Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan
2025	J	`jnl`	TALO: Pushing 3D Vision Foundation Models Towards Globally Consistent Online Reconstruction. CoRR Fengyi Zhang, Tianjun Zhang, Kasra Khosoussi, Zheng Zhang, Zi Huang, Yadan Luo
2025	J	`jnl`	TES-CVIDS: A Transmission Efficient Sub-Map Based Collaborative Dense VI-SLAM Framework. IEEE Trans. Intell. Veh. Tianjun Zhang, Lin Zhang, Fengyi Zhang, Shengjie Zhao, Yicong Zhou
2025	J	`jnl`	Towards a Robust Visual-Inertial-Surround-View SLAM System for Autonomous Indoor Parking. ACM Trans. Multim. Comput. Commun. Appl. Xuan Shao, Lin Zhang, Tianjun Zhang, Shengjie Zhao
2025	J	`jnl`	What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces. CoRR 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
2024	J	`jnl`	A new oversampling-based full-duplex radar jamming method with a single antenna. Digit. Signal Process. Kaixiang Zhang, Tianjun Zhang, Zhennan Liang, Xinliang Chen, Quanhua Liu
2024	A*	`conf`	AgentBench: Evaluating LLMs as Agents. ICLR 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	J	`jnl`	An Underwater Organism Image Dataset and a Lightweight Module Designed for Object Detection Networks. ACM Trans. Multim. Comput. Commun. Appl. Jiafeng Huang, Tianjun Zhang, Shengjie Zhao, Lin Zhang, Yicong Zhou
2024	A*	`conf`	Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. NeurIPS Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
2024	J	`jnl`	Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
2024	J	`jnl`	Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling. CoRR Fengyi Zhang, Tianjun Zhang, Lin Zhang, Helen Huang, Yadan Luo
2024	J	`jnl`	GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications. CoRR Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica
2024	A*	`conf`	Gorilla: Large Language Model Connected with Massive APIs. NeurIPS Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
2024	A*	`conf`	In-Context Principle Learning from Mistakes. ICML Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
2024	J	`jnl`	In-Context Principle Learning from Mistakes. CoRR Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
2024	A*	`conf`	LLM-Assisted Code Cleaning For Training Accurate Code Generators. ICLR Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
2024	A*	`conf`	LLoCO: Learning Long Contexts Offline. EMNLP Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa
2024	J	`jnl`	LLoCO: Learning Long Contexts Offline. CoRR Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa
2024	—	`conf`	Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training. EMNLP (Findings) Xinyan Chen, Jiaxin Ge, Tianjun Zhang, Jiaming Liu, Shanghang Zhang
2024	J	`jnl`	LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. CoRR Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
2024	J	`jnl`	MC-VEO: A Visual-Event Odometry With Accurate 6-DoF Motion Compensation. IEEE Trans. Intell. Veh. Jiafeng Huang, Shengjie Zhao, Tianjun Zhang, Lin Zhang
2024	A	`conf`	Multitask Vision-Language Prompt Tuning. WACV Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
2024	A*	`conf`	R2E: Turning any Github Repository into a Programming Agent Environment. ICML Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica
2024	J	`jnl`	RAFT: Adapting Language Model to Domain Specific RAG. CoRR Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez
2024	A*	`conf`	Recursive Introspection: Teaching Language Model Agents How to Self-Improve. NeurIPS Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
2024	J	`jnl`	Recursive Introspection: Teaching Language Model Agents How to Self-Improve. CoRR Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
2024	J	`jnl`	SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. CoRR Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan
2023	A	`conf`	Adaptively Hashing 3DLUTs for Lightweight Real-time Image Enhancement. ICME Fengyi Zhang, Lin Zhang, Tianjun Zhang, Dongqing Wang
2023	J	`jnl`	AgentBench: Evaluating LLMs as Agents. CoRR 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
2023	J	`jnl`	Controllable Text-to-Image Generation with GPT-4. CoRR Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
2023	A*	`conf`	Efficient Planning in a Compact Latent Action Space. ICLR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2023	A	`conf`	Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2023	J	`jnl`	Gorilla: Large Language Model Connected with Massive APIs. CoRR Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
2023	J	`jnl`	Iterative Prompt Relabeling for diffusion model with RLDF. CoRR Jiaxin Ge, Xinyan Chen, Tianjun Zhang, Shanghang Zhang
2023	J	`jnl`	LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
2023	A*	`conf`	Latent Variable Representation for Reinforcement Learning. ICLR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2023	—	`conf`	Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan
2023	A*	`conf`	Spectral Decomposition Representation for Reinforcement Learning. ICLR Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2023	A*	`conf`	TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. ICLR Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
2023	A*	`conf`	The Wisdom of Hindsight Makes Language Models Better Instruction Followers. ICML Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
2023	J	`jnl`	The Wisdom of Hindsight Makes Language Models Better Instruction Followers. CoRR Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
2022	A	`conf`	A free lunch from the noise: Provable and practical exploration for representation learning. UAI Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
2022	A*	`conf`	C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. ICLR Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez
2022	A*	`conf`	CLUT-Net: Learning Adaptively Compressed Representations of 3DLUTs for Lightweight Image Enhancement. ACM Multimedia Fengyi Zhang, Hui Zeng, Tianjun Zhang, Lin Zhang
2022	J	`jnl`	CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM. IEEE Trans. Image Process. Tianjun Zhang, Lin Zhang, Yang Chen, Yicong Zhou
2022	A*	`conf`	Contrastive Learning as Goal-Conditioned Reinforcement Learning. NeurIPS Benjamin Eysenbach, Tianjun Zhang, Sergey Levine, Ruslan Salakhutdinov
2022	J	`jnl`	Contrastive Learning as Goal-Conditioned Reinforcement Learning. CoRR Benjamin Eysenbach, Tianjun Zhang, Ruslan Salakhutdinov, Sergey Levine
2022	J	`jnl`	Efficient Planning in a Compact Latent Action Space. CoRR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2022	J	`jnl`	Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Latent Variable Representation for Reinforcement Learning. CoRR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2022	J	`jnl`	MOFIS IEEE Trans. Circuits Syst. Video Technol. Xuan Shao, Lin Zhang, Tianjun Zhang, Ying Shen, Yicong Zhou
2022	A*	`conf`	Making Linear MDPs Practical via Contrastive Representation Learning. ICML Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Making Linear MDPs Practical via Contrastive Representation Learning. CoRR Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2022	A*	`conf`	Multi-objective Optimization by Learning Space Partition. ICLR Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
2022	J	`jnl`	Multitask Vision-Language Prompt Tuning. CoRR Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
2022	J	`jnl`	Online Correction of Camera Poses for the Surround-view System: A Sparse Direct Approach. ACM Trans. Multim. Comput. Commun. Appl. Tianjun Zhang, Hao Deng, Lin Zhang, Shengjie Zhao, Xiao Liu, Yicong Zhou
2022	J	`jnl`	Spectral Decomposition Representation for Reinforcement Learning. CoRR Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2022	J	`jnl`	TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez
2022	A	`conf`	Towards Underwater Image Restoration: A Physical-Accurate Pipeline and a Large Scale Full-Reference Benchmark. ICME Jiayan Tong, Tianjun Zhang, Lin Zhang
2021	J	`jnl`	A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array. IEEE J. Solid State Circuits Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw
2021	J	`jnl`	A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning. CoRR Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
2021	J	`jnl`	C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. CoRR Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez
2021	—	`conf`	Contrastive Code Representation Learning. EMNLP (1) Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
2021	A*	`conf`	Learning Space Partitions for Path Planning. NeurIPS Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	J	`jnl`	Learning Space Partitions for Path Planning. CoRR Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	A*	`conf`	MADE: Exploration via Maximizing Deviation from Explored Regions. NeurIPS Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell
2021	J	`jnl`	MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
2021	J	`jnl`	Multi-objective Optimization by Learning Space Partitions. CoRR Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
2021	A*	`conf`	NovelD: A Simple yet Effective Exploration Criterion. NeurIPS Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
2021	A*	`conf`	ROECS: A Robust Semi-direct Pipeline Towards Online Extrinsics Correction of the Surround-view System. ACM Multimedia Tianjun Zhang, Brian Nlong Zhao, Ying Shen, Xuan Shao, Lin Zhang, Yicong Zhou
2020	—	`conf`	A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array. CICC Zhehong Wang, Tianjun Zhang, Daichi Fujiki, Arun Subramaniyan, Xiao Wu, Makoto Yasuda, Satoru Miyoshi, Masaru Kawaminami, Reetuparna Das, Satish Narayanasamy, David T. Blaauw
2020	A*	`conf`	A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking. ACM Multimedia Xuan Shao, Lin Zhang, Tianjun Zhang, Ying Shen, Hongyu Li, Yicong Zhou
2020	J	`jnl`	BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
2020	J	`jnl`	Contrastive Code Representation Learning. CoRR Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica
2020	J	`jnl`	Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
2020	A	`conf`	Oecs: Towards Online Extrinsics Correction For The Surround-View System. ICME Tianjun Zhang, Lin Zhang, Ying Shen, Yong Ma, Shengjie Zhao, Yicong Zhou
2019	J	`jnl`	ANODEV2: A Coupled Neural ODE Evolution Framework. CoRR Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney
2019	A*	`conf`	ANODEV2: A Coupled Neural ODE Framework. NeurIPS Tianjun Zhang, Zhewei Yao, Amir Gholami, Joseph E. Gonzalez, Kurt Keutzer, Michael W. Mahoney, George Biros
2019	A	`conf`	Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
2018	J	`jnl`	AI Matrix - Synthetic Benchmarks for DNN. CoRR Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang
2018	A*	`conf`	GenAx: A Genome Sequencing Accelerator. ISCA Daichi Fujiki, Arun Subramaniyan, Tianjun Zhang, Yu Zeng, Reetuparna Das, David T. Blaauw, Satish Narayanasamy
2018	J	`jnl`	Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
2017	J	`jnl`	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 Yun Bai, Tianjun Zhang, Gaochang Zhao, Jie Liu
2016	C	`conf`	Parameter Establishment of Differential Evolution Algorithm Based on Uniform Design and the Effect of Different Number of Levels. CIS Tianjun Zhang, Yun Bai, Gao-chang Zhao, Jie Liu