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Jieyu Zhang 0001
Person information
- affiliation: University of Washington, Seattle, WA, USA
- affiliation (former): University of Illinois Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Jieyu Zhang — disambiguation page
- Jieyu Zhang 0002 — Brunel University London, Department of Computer Science, Uxbridge, UK
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2020 – today
- 2026
- [c41]Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Kaize Ding, Ranjay Krishna:
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators. AAAI 2026: 21903-21911 - [i70]Christopher Clark, Jieyu Zhang, Zixian Ma, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Zhongzheng Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winson Han, Ali Farhadi, Ranjay Krishna:
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding. CoRR abs/2601.10611 (2026) - [i69]Pingyue Zhang, Zihan Huang, Yue Wang, Jieyu Zhang, Letian Xue, Zihan Wang, Qineng Wang, Keshigeyan Chandrasegaran, Ruohan Zhang, Yejin Choi, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Manling Li:
Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration? CoRR abs/2602.07055 (2026) - [i68]Chenhao Zheng, Jieyu Zhang, Jianing Zhang, Weikai Huang, Ashutosh Kumar, Quan Kong, Oncel Tuzel, Chun-Liang Li, Ranjay Krishna:
TrajTok: Learning Trajectory Tokens enables better Video Understanding. CoRR abs/2602.22779 (2026) - [i67]Ziqi Gao, Jieyu Zhang, Wisdom Oluchi Ikezogwo, Jae Sung Park, Tario G. You, Daniel Ogbu, Chenhao Zheng, Weikai Huang, Yinuo Yang, Winson Han, Quan Kong, Rajat Saini, Ranjay Krishna:
Synthetic Visual Genome 2: Extracting Large-scale Spatio-Temporal Scene Graphs from Videos. CoRR abs/2602.23543 (2026) - [i66]Linxin Song, Jieyu Zhang, Huanxin Sheng, Taiwei Shi, Gupta Rahul, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao:
Video-Based Reward Modeling for Computer-Use Agents. CoRR abs/2603.10178 (2026) - [i65]Zhuangzhe Wu, Yue Xin, Chengkai Hou, Minghao Chen, Yaoxu Lyu, Jieyu Zhang, Shanghang Zhang:
URDF-Anything+: Autoregressive Articulated 3D Models Generation for Physical Simulation. CoRR abs/2603.14010 (2026) - [i64]Christopher Clark, Yue Yang, Jae Sung Park, Zixian Ma, Jieyu Zhang, Rohun Tripathi, Mohammadreza Salehi, Sangho Lee, Taira Anderson, Winson Han, Ranjay Krishna:
MolmoPoint: Better Pointing for VLMs with Grounding Tokens. CoRR abs/2603.28069 (2026) - [i63]Weikai Huang, Jieyu Zhang, Sijun Li, Taoyang Jia, Jiafei Duan, Yunqian Cheng, Jaemin Cho, Matthew Wallingford, Rustin Soraki, Chris Dongjoo Kim, Shuo Liu, Donovan Clay, Taira Anderson, Winson Han, Ali Farhadi, Bharath Hariharan, Zhongzheng Ren, Ranjay Krishna:
WildDet3D: Scaling Promptable 3D Detection in the Wild. CoRR abs/2604.08626 (2026) - [i62]Yinuo Yang, Zixian Ma, Manasi Ganti, Jieyu Zhang, Ranjay Krishna:
You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass. CoRR abs/2604.10966 (2026) - 2025
- [c40]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong:
Explaining Length Bias in LLM-Based Preference Evaluations. EMNLP (Findings) 2025: 6763-6794 - [c39]Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese:
LATTE: Learning to Think with Vision Specialists. EMNLP 2025: 11192-11229 - [c38]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
BLIP-3: A Family of Open Large Multimodal Models. ICCVW 2025: 6183-6194 - [c37]Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska:
MaskSearch: Querying Image Masks at Scale. ICDE 2025: 2436-2449 - [c36]Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu:
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. ICML 2025 - [i61]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon
, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i60]Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao:
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. CoRR abs/2503.23361 (2025) - [i59]Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu:
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. CoRR abs/2505.00024 (2025) - [i58]Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu:
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. CoRR abs/2505.00212 (2025) - [i57]Guangrun Li, Yaoxu Lyu, Zhuoyang Liu, Chengkai Hou, Jieyu Zhang, Shanghang Zhang:
H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos. CoRR abs/2505.11920 (2025) - [i56]Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi, Ziqi Gao, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna:
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory. CoRR abs/2505.23617 (2025) - [i55]Baiqiao Yin, Qineng Wang, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li, Jiajun Wu, Li Fei-Fei:
Spatial Mental Modeling from Limited Views. CoRR abs/2506.21458 (2025) - [i54]Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong:
CoAct-1: Computer-using Agents with Coding as Actions. CoRR abs/2508.03923 (2025) - [i53]Jason Lee, Jiafei Duan, Haoquan Fang, Yuquan Deng, Shuo Liu
MolmoAct: Action Reasoning Models that can Reason in Space. CoRR abs/2508.07917 (2025) - [i52]Weikai Huang, Jieyu Zhang, Taoyang Jia, Chenhao Zheng, Ziqi Gao, Jae Sung Park, Ranjay Krishna:
SOS: Synthetic Object Segments Improve Detection, Segmentation, and Grounding. CoRR abs/2510.09110 (2025) - [i51]Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang:
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model. CoRR abs/2511.00940 (2025) - [i50]Jitesh Jain, Jialuo Li, Zixian Ma, Jieyu Zhang, Chris Dongjoo Kim, Sangho Lee, Rohun Tripathi, Tanmay Gupta, Christopher Clark, Humphrey Shi:
SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning. CoRR abs/2512.13874 (2025) - 2024
- [c35]Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna:
Iterated Learning Improves Compositionality in Large Vision-Language Models. CVPR 2024: 13785-13795 - [c34]Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta
m &m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. ECCV (10) 2024: 18-34 - [c33]Wenqi Shi
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP 2024: 22315-22339 - [c32]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML 2024: 50622-50649 - [c31]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Offline Training of Language Model Agents with Functions as Learnable Weights. ICML 2024: 60315-60335 - [c30]Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang:
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. NeurIPS 2024 - [c29]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. NeurIPS 2024 - [c28]Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Task Me Anything. NeurIPS 2024 - [i49]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang:
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR abs/2401.07128 (2024) - [i48]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Training Language Model Agents without Modifying Language Models. CoRR abs/2402.11359 (2024) - [i47]Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta
m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. CoRR abs/2403.11085 (2024) - [i46]Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang:
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR abs/2403.15464 (2024) - [i45]Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna:
Iterated Learning Improves Compositionality in Large Vision-Language Models. CoRR abs/2404.02145 (2024) - [i44]Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang:
Adaptive In-conversation Team Building for Language Model Agents. CoRR abs/2405.19425 (2024) - [i43]Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta
Task Me Anything. CoRR abs/2406.11775 (2024) - [i42]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - [i41]Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR abs/2406.13173 (2024) - [i40]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. CoRR abs/2407.01085 (2024) - [i39]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i38]Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Hui Xiong, Ranjay Krishna:
Language Model Preference Evaluation with Multiple Weak Evaluators. CoRR abs/2410.12869 (2024) - [i37]Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang:
EcoAct: Economic Agent Determines When to Register What Action. CoRR abs/2411.01643 (2024) - [i36]Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese:
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. CoRR abs/2412.05479 (2024) - [i35]Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu:
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. CoRR abs/2412.07012 (2024) - [i34]Ziqi Gao, Weikai Huang, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna:
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming. CoRR abs/2412.08221 (2024) - 2023
- [j2]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao:
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. 2023 (2023) - [c27]Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang:
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) 2023: 2499-2521 - [c26]Jieyu Zhang, Linxin Song, Alex Ratner:
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. AISTATS 2023: 157-171 - [c25]Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou:
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. CVPR 2023: 20215-20225 - [c24]Chengkai Hou, Jieyu Zhang, Tianyi Zhou
When to Learn What: Model-Adaptive Data Augmentation Curriculum. ICCV 2023: 1717-1728 - [c23]Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition. ICCV 2023: 5372-5384 - [c22]Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu:
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR 2023 - [c21]Zhengyu Hu
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD 2023: 775-787 - [c20]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS 2023 - [c19]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. NeurIPS 2023 - [c18]Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna:
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. NeurIPS 2023 - [c17]Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J. Ratner:
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision. NeurIPS 2023 - [c16]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS 2023 - [c15]Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander J. Ratner:
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. NeurIPS 2023 - [c14]Yaming Yang
Multiple Connectivity Views for Session-based Recommendation. RecSys 2023: 1000-1006 - [i33]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. CoRR abs/2304.14108 (2023) - [i32]Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska:
MaskSearch: Querying Image Masks at Scale. CoRR abs/2305.02375 (2023) - [i31]Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander Ratner:
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. CoRR abs/2305.12224 (2023) - [i30]Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou:
Taming Small-sample Bias in Low-budget Active Learning. CoRR abs/2306.11056 (2023) - [i29]Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna:
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. CoRR abs/2306.14610 (2023) - [i28]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR abs/2306.15895 (2023) - [i27]Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition. CoRR abs/2306.15925 (2023) - [i26]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR abs/2307.10635 (2023) - [i25]Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR abs/2308.08155 (2023) - [i24]Chengkai Hou, Jieyu Zhang, Tianyi Zhou
When to Learn What: Model-Adaptive Data Augmentation Curriculum. CoRR abs/2309.04747 (2023) - [i23]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023) - [i22]Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou
NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR abs/2309.15630 (2023) - [i21]Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang:
EcoAssistant: Using LLM Assistant More Affordably and Accurately. CoRR abs/2310.03046 (2023) - [i20]Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong:
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. CoRR abs/2312.01619 (2023) - 2022
- [j1]Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. Proc. VLDB Endow. 15(13): 4093-4105 (2022) - [c13]Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. CIKM 2022: 4672-4676 - [c12]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. ICLR 2022 - [c11]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. LoG 2022: 47 - [c10]Yue Yu
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT 2022: 1422-1436 - [c9]Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner:
Understanding Programmatic Weak Supervision via Source-aware Influence Function. NeurIPS 2022 - [c8]Minhao Jiang
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW 2022: 925-934 - [i19]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR abs/2202.04887 (2022) - [i18]Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner:
A Survey on Programmatic Weak Supervision. CoRR abs/2202.05433 (2022) - [i17]Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. CoRR abs/2203.01382 (2022) - [i16]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. CoRR abs/2203.06714 (2022) - [i15]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang:
Augmentation-Free Graph Contrastive Learning. CoRR abs/2204.04874 (2022) - [i14]Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner:
Understanding Programmatic Weak Supervision via Source-aware Influence Function. CoRR abs/2205.12879 (2022) - [i13]Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. CoRR abs/2208.01704 (2022) - [i12]Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang:
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR abs/2209.06995 (2022) - [i11]Jieyu Zhang, Linxin Song, Alexander Ratner:
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. CoRR abs/2210.02724 (2022) - [i10]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang:
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR abs/2211.10890 (2022) - [i9]Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang:
Label-Efficient Interactive Time-Series Anomaly Detection. CoRR abs/2212.14621 (2022) - 2021
- [c7]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. AAAI 2021: 4662-4670 - [c6]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c5]Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. NeurIPS Datasets and Benchmarks 2021 - [i8]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. CoRR abs/2101.01896 (2021) - [i7]Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR abs/2104.03682 (2021) - [i6]Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. CoRR abs/2109.11377 (2021) - [i5]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. CoRR abs/2110.03484 (2021) - [i4]Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR abs/2112.08787 (2021) - 2020
- [c4]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c3]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c2]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707
2010 – 2019
- 2019
- [c1]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. ICDM 2019: 698-707 - [i3]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. CoRR abs/1910.00005 (2019) - [i2]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i1]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR abs/1911.05465 (2019)
Coauthor Index
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