Jieyu Zhang

According to our database, Jieyu Zhang authored at least 64 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction.

Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang

CoRR, 2024

m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks.

Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna

CoRR, 2024

Training Language Model Agents without Modifying Language Models.

Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu

CoRR, 2024

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang

CoRR, 2024

2023

A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors.

Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng

Int. J. Mach. Learn. Cybern., September, 2023

ChemSpacE: Interpretable and Interactive Chemical Space Exploration.

Yuanqi Du, Xian Liu, Nilay Mahesh Shah, Shengchao Liu, Jieyu Zhang, Bolei Zhou

Trans. Mach. Learn. Res., 2023

Design of a Learning Path Recommendation System Based on a Knowledge Graph.

Chunhong Liu, Haoyang Zhang, Jieyu Zhang, Zhengling Zhang, Peiyan Yuan

Int. J. Inf. Commun. Technol. Educ., 2023

Group Cooperative Teaching Design With Knowledge Graphs in Project-Driven Learning.

Chunhong Liu, Jieyu Zhang, Haoyang Zhang, Xiaoniu Li, En Zhang

Int. J. Inf. Commun. Technol. Educ., 2023

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking.

Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong

CoRR, 2023

EcoAssistant: Using LLM Assistant More Affordably and Accurately.

Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang

CoRR, 2023

NLPBench: Evaluating Large Language Models on Solving NLP Problems.

Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li

CoRR, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.

Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2023

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework.

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang

CoRR, 2023

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.

Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

CoRR, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

CoRR, 2023

Taming Small-sample Bias in Low-budget Active Learning.

Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou

CoRR, 2023

MaskSearch: Querying Image Masks at Scale.

Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska

CoRR, 2023

Multiple Connectivity Views for Session-based Recommendation.

Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training.

Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander J. Ratner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing the Impacts of Semi-supervised Learning for Weak Supervision.

Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J. Ratner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.

Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DataComp: In search of the next generation of multimodal datasets.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.

Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Relational Graph Neural Network for Transductive Model Ensemble.

Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Hyper Label Model for Programmatic Weak Supervision.

Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When to Learn What: Model-Adaptive Data Augmentation Curriculum.

Chengkai Hou, Jieyu Zhang, Tianyi Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Subclass-balancing Contrastive Learning for Long-tailed Recognition.

Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning.

Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision.

Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach

Proceedings of the IEEE International Conference on Big Data, 2023

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision.

Jieyu Zhang, Linxin Song, Alex Ratner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach.

Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming.

Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner

Proc. VLDB Endow., 2022

Many-objective optimization meets recommendation systems: A food recommendation scenario.

Jieyu Zhang, Miqing Li, Weibo Liu, Stanislao Lauria, Xiaohui Liu

Neurocomputing, 2022

Label-Efficient Interactive Time-Series Anomaly Detection.

Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang

CoRR, 2022

Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?

Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang

CoRR, 2022

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.

Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang

CoRR, 2022

Representation Gap in Deep Reinforcement Learning.

Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

CoRR, 2022

Augmentation-Free Graph Contrastive Learning.

Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang

CoRR, 2022

A Survey on Programmatic Weak Supervision.

Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner

CoRR, 2022

TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations.

Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Understanding Programmatic Weak Supervision via Source-aware Influence Function.

Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.

Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Survey on Deep Graph Generation: Methods and Applications.

Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu

Proceedings of the Learning on Graphs Conference, 2022

Creating Training Sets via Weak Indirect Supervision.

Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification.

Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Binary Classification with Positive Labeling Sources.

Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

An Overview of Recommendation Techniques and Their Applications in Healthcare.

Wenbin Yue, Zidong Wang, Jieyu Zhang, Xiaohui Liu

IEEE CAA J. Autom. Sinica, 2021

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.

Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang

CoRR, 2021

Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD.

Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

CoRR, 2021

Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion.

Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han

CoRR, 2021

WRENCH: A Comprehensive Benchmark for Weak Supervision.

Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD.

Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract).

Carl Yang, Jieyu Zhang, Jiawei Han

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Taxonomy Completion via Triplet Matching Network.

Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders.

Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization.

Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks.

Carl Yang, Jieyu Zhang, Jiawei Han

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

An Improved Robust Method for Pose Estimation of Cylindrical Parts with Interference Features.

Jieyu Zhang, Yuanying Qiu, Xuechao Duan, Kangli Xu, Changqi Yang

Sensors, 2019

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.

Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han

CoRR, 2019

Neural Embedding Propagation on Heterogeneous Networks.

Carl Yang, Jieyu Zhang, Jiawei Han

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

A New Hybrid Method for Parameter Optimization of SVR.

Jiang Xie, Taifeng Sun, Jieyu Zhang, Wu Zhang

J. Adv. Comput. Intell. Intell. Informatics, 2018

2012

Optical Flow at Occlusion.

Jieyu Zhang, John L. Barron

Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011

A highly repeatable feature detector: improved Harris-Laplace.

Jieyu Zhang, Qiang Chen, Quan-Sen Sun, Huaijiang Sun, De-Shen Xia

Multim. Tools Appl., 2011