Jieyu Zhang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 88

Top Topics

Semantic Representation

Top Venues

Publications

Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna
m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. CoRR (2024)
Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR (2024)
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Task Me Anything. CoRR (2024)
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl J. Yang, May D. Wang
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee 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 (2024)
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 (2024)
Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
Iterated Learning Improves Compositionality in Large Vision-Language Models. CoRR (2024)
Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong
Rethinking LLM-based Preference Evaluation. CoRR (2024)
Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. CoRR (2024)
Xiaojie Ma, Jieyu Zhang, Tianchao Miao, Fawen Xie, Zhongqiu Geng
Measurement Approach for the Pose of Flanges in Cabin Assemblies through Distributed Vision. Sensors 24 (14) (2024)
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 (2024)
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
Training Language Model Agents without Modifying Language Models. CoRR (2024)
Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J. Ratner
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision. NeurIPS (2023)
Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou
Taming Small-sample Bias in Low-budget Active Learning. CoRR (2023)
Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD (2023)
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
When to Learn What: Model-Adaptive Data Augmentation Curriculum. ICCV (2023)
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR (2023)
Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang
EcoAssistant: Using LLM Assistant More Affordably and Accurately. CoRR (2023)
Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. BigData (2023)
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)
Jieyu Zhang, Linxin Song, Alex Ratner
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. AISTATS (2023)
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 (2023)
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)
Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition. ICCV (2023)
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 (2023)
Yuanqi Du, Xian Liu, Nilay Mahesh Shah, Shengchao Liu, Jieyu Zhang, Bolei Zhou
ChemSpacE: Interpretable and Interactive Chemical Space Exploration. Trans. Mach. Learn. Res. 2023 (2023)
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)
Chunhong Liu, Jieyu Zhang, Haoyang Zhang, Xiaoniu Li, En Zhang
Group Cooperative Teaching Design With Knowledge Graphs in Project-Driven Learning. Int. J. Inf. Commun. Technol. Educ. 19 (1) (2023)
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 (2023)
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. NeurIPS (2023)
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 (2023)
Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition. CoRR (2023)
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 (2023)
Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR (2023)
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)
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)
Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska
MaskSearch: Querying Image Masks at Scale. CoRR (2023)
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 (2023)
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)
Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. CVPR (2023)
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
When to Learn What: Model-Adaptive Data Augmentation Curriculum. CoRR (2023)
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. CoRR (2023)
Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors. Int. J. Mach. Learn. Cybern. 14 (9) (2023)
Chunhong Liu, Haoyang Zhang, Jieyu Zhang, Zhengling Zhang, Peiyan Yuan
Design of a Learning Path Recommendation System Based on a Knowledge Graph. Int. J. Inf. Commun. Technol. Educ. 19 (1) (2023)
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 (2023)
Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong
Multiple Connectivity Views for Session-based Recommendation. RecSys (2023)
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 (2022)
Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. CoRR (2022)
Jieyu Zhang, Linxin Song, Alexander Ratner
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. CoRR (2022)
Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
Binary Classification with Positive Labeling Sources. CIKM (2022)
Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. CoRR (2022)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
Augmentation-Free Graph Contrastive Learning. CoRR (2022)
Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. Proc. VLDB Endow. 15 (13) (2022)
Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR (2022)
Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang
Label-Efficient Interactive Time-Series Anomaly Detection. CoRR (2022)
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
Creating Training Sets via Weak Indirect Supervision. ICLR (2022)
Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou
Representation Gap in Deep Reinforcement Learning. CoRR (2022)
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner
Understanding Programmatic Weak Supervision via Source-aware Influence Function. NeurIPS (2022)
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT (2022)
Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW (2022)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR (2022)
Jieyu Zhang, Miqing Li, Weibo Liu, Stanislao Lauria, Xiaohui Liu
Many-objective optimization meets recommendation systems: A food recommendation scenario. Neurocomputing 503 (2022)
Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
A Survey on Deep Graph Generation: Methods and Applications. CoRR (2022)
Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. EMNLP (Findings) (2022)
Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner
A Survey on Programmatic Weak Supervision. CoRR (2022)
Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
Binary Classification with Positive Labeling Sources. CoRR (2022)
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)
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner
Understanding Programmatic Weak Supervision via Source-aware Influence Function. CoRR (2022)
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
Taxonomy Completion via Triplet Matching Network. AAAI (2021)
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
Taxonomy Completion via Triplet Matching Network. CoRR (2021)
Carl Yang, Jieyu Zhang, Jiawei Han
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI (2021)
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR (2021)
Wenbin Yue, Zidong Wang, Jieyu Zhang, Xiaohui Liu
An Overview of Recommendation Techniques and Their Applications in Healthcare. IEEE CAA J. Autom. Sinica 8 (4) (2021)
Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD. NeurIPS (2021)
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
Creating Training Sets via Weak Indirect Supervision. CoRR (2021)
Jieyu Zhang, Yue Yu, NameError, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
WRENCH: A Comprehensive Benchmark for Weak Supervision. NeurIPS Datasets and Benchmarks (2021)
Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR (2021)
Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR (2021)
Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
WRENCH: A Comprehensive Benchmark for Weak Supervision. CoRR (2021)
Carl Yang, Jieyu Zhang, Jiawei Han
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM (2020)
Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myungwan Kim, Matt Walker, Yiou Xiao, Jiawei Han
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM (2020)
Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR (2020)
Carl Yang, Jieyu Zhang, Jiawei Han
Neural Embedding Propagation on Heterogeneous Networks. CoRR (2019)
Jieyu Zhang, Yuanying Qiu, Xuechao Duan, Kangli Xu, Changqi Yang
An Improved Robust Method for Pose Estimation of Cylindrical Parts with Interference Features. Sensors 19 (10) (2019)
Carl Yang, Jieyu Zhang, Jiawei Han
Neural Embedding Propagation on Heterogeneous Networks. ICDM (2019)
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 (2019)
Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myungwan Kim, Matt Walker, Yiou Xiao, Jiawei Han
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR (2019)
Jiang Xie, Taifeng Sun, Jieyu Zhang, Wu Zhang
A New Hybrid Method for Parameter Optimization of SVR. J. Adv. Comput. Intell. Intell. Informatics 22 (2) (2018)
Jieyu Zhang, John L. Barron
Optical Flow at Occlusion. CRV (2012)
Jieyu Zhang, Qiang Chen, Quan-Sen Sun, Huaijiang Sun, De-Shen Xia
A highly repeatable feature detector: improved Harris-Laplace. Multim. Tools Appl. 52 (1) (2011)