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2020 – today
- 2024
[j8]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: 104642 (2024)- [j7]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): 1756-1767 (2024) - [j6]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): 147:1-147:23 (2024) - [c32]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 - [c31]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 - [c30]Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica:
R2E: Turning any Github Repository into a Programming Agent Environment. ICML 2024 - [c29]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. ICML 2024 - [c28]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. WACV 2024: 5644-5655 - [i33]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. CoRR abs/2402.05403 (2024) - [i32]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 abs/2403.07974 (2024) - [i31]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 abs/2403.10131 (2024) - [i30]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 abs/2404.06921 (2024) - [i29]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 abs/2404.07979 (2024) - [i28]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 abs/2406.04271 (2024) - [i27]Fengyi Zhang, Tianjun Zhang, Lin Zhang, Helen Huang, Yadan Luo:
Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling. CoRR abs/2406.08759 (2024) - [i26]Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar:
Recursive Introspection: Teaching Language Model Agents How to Self-Improve. CoRR abs/2407.18219 (2024) - 2023
- [c27]Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. ICLR 2023 - [c26]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 - [c25]Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai:
Latent Variable Representation for Reinforcement Learning. ICLR 2023 - [c24]Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. ICLR 2023 - [c23]Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez:
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. ICLR 2023 - [c22]Fengyi Zhang, Lin Zhang, Tianjun Zhang, Dongqing Wang:
Adaptively Hashing 3DLUTs for Lightweight Real-time Image Enhancement. ICME 2023: 2771-2776 - [c21]Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez:
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. ICML 2023: 41414-41428 - [c20]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: 2477-2487 - [i25]Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez:
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. CoRR abs/2302.05206 (2023) - [i24]Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez:
Gorilla: Large Language Model Connected with Massive APIs. CoRR abs/2305.15334 (2023) - [i23]Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang:
Controllable Text-to-Image Generation with GPT-4. CoRR abs/2305.18583 (2023) - [i22]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 abs/2308.03688 (2023) - [i21]Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica:
LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR abs/2311.14904 (2023) - [i20]Jiaxin Ge, Xinyan Chen, Tianjun Zhang, Shanghang Zhang:
Iterative Prompt Relabeling for diffusion model with RLDF. CoRR abs/2312.16204 (2023) - 2022
- [j5]Xuan Shao, Lin Zhang, Tianjun Zhang, Ying Shen, Yicong Zhou:
MOFISSLAM: 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): 4788-4803 (2022) - [j4]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: 6562-6576 (2022) - [j3]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): 106:1-106:24 (2022) - [c19]Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez:
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. ICLR 2022 - [c18]Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian:
Multi-objective Optimization by Learning Space Partition. ICLR 2022 - [c17]Jiayan Tong, Tianjun Zhang, Lin Zhang:
Towards Underwater Image Restoration: A Physical-Accurate Pipeline and a Large Scale Full-Reference Benchmark. ICME 2022: 1-6 - [c16]Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai:
Making Linear MDPs Practical via Contrastive Representation Learning. ICML 2022: 26447-26466 - [c15]Fengyi Zhang, Hui Zeng, Tianjun Zhang, Lin Zhang:
CLUT-Net: Learning Adaptively Compressed Representations of 3DLUTs for Lightweight Image Enhancement. ACM Multimedia 2022: 6493-6501 - [c14]Benjamin Eysenbach, Tianjun Zhang, Sergey Levine, Ruslan Salakhutdinov:
Contrastive Learning as Goal-Conditioned Reinforcement Learning. NeurIPS 2022 - [c13]Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai:
A free lunch from the noise: Provable and practical exploration for representation learning. UAI 2022: 1686-1696 - [i19]Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette:
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR abs/2205.15824 (2022) - [i18]Benjamin Eysenbach, Tianjun Zhang, Ruslan Salakhutdinov, Sergey Levine:
Contrastive Learning as Goal-Conditioned Reinforcement Learning. CoRR abs/2206.07568 (2022) - [i17]Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Making Linear MDPs Practical via Contrastive Representation Learning. CoRR abs/2207.07150 (2022) - [i16]Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. CoRR abs/2208.09515 (2022) - [i15]Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. CoRR abs/2208.10291 (2022) - [i14]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. CoRR abs/2211.11720 (2022) - [i13]Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez:
TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR abs/2211.11890 (2022) - [i12]Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai:
Latent Variable Representation for Reinforcement Learning. CoRR abs/2212.08765 (2022) - 2021
- [j2]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): 824-833 (2021) - [c12]Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. EMNLP (1) 2021: 5954-5971 - [c11]Tianjun Zhang, Brian 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: 3153-3161 - [c10]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: 378-391 - [c9]Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell:
MADE: Exploration via Maximizing Deviation from Explored Regions. NeurIPS 2021: 9663-9680 - [c8]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS 2021: 25217-25230 - [i11]Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell:
MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR abs/2106.10268 (2021) - [i10]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 abs/2106.10544 (2021) - [i9]Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian:
Multi-objective Optimization by Learning Space Partitions. CoRR abs/2110.03173 (2021) - [i8]Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez:
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. CoRR abs/2110.12080 (2021) - [i7]Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai:
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning. CoRR abs/2111.11485 (2021) - 2020
- [c7]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: 1-4 - [c6]Tianjun Zhang, Lin Zhang, Ying Shen, Yong Ma, Shengjie Zhao, Yicong Zhou:
Oecs: Towards Online Extrinsics Correction For The Surround-View System. ICME 2020: 1-6 - [c5]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: 2691-2699 - [i6]Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. CoRR abs/2007.04973 (2020) - [i5]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR abs/2010.08531 (2020) - [i4]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR abs/2012.08621 (2020)
2010 – 2019
- 2019
- [c4]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: 23-32 - [c3]Tianjun Zhang, Zhewei Yao, Amir Gholami, Joseph E. Gonzalez, Kurt Keutzer, Michael W. Mahoney, George Biros:
ANODEV2: A Coupled Neural ODE Framework. NeurIPS 2019: 5152-5162 - [i3]Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney:
ANODEV2: A Coupled Neural ODE Evolution Framework. CoRR abs/1906.04596 (2019) - 2018
- [c2]Daichi Fujiki, Arun Subramaniyan, Tianjun Zhang, Yu Zeng, Reetuparna Das, David T. Blaauw, Satish Narayanasamy:
GenAx: A Genome Sequencing Accelerator. ISCA 2018: 69-82 - [i2]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 abs/1811.08634 (2018) - [i1]Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang:
AI Matrix - Synthetic Benchmarks for DNN. CoRR abs/1812.00886 (2018) - 2017
- [j1]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): 222-225 (2017) - 2016
- [c1]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: 456-460
Coauthor Index
Joseph Gonzalez 0001
aka: Joseph E. Gonzalez
aka: Joseph E. Gonzalez
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last updated on 2024-10-07 21:26 CEST by the dblp team
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