Jieyu Zhang

Orcid: 0000-0002-1846-2436

According to our database¹, Jieyu Zhang authored at least 76 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Measurement Approach for the Pose of Flanges in Cabin Assemblies through Distributed Vision.

[BibT_eX]

[DOI]

Sensors, July, 2024

EcoAct: Economic Agent Determines When to Register What Action.

[BibT_eX]

[DOI]

Shaokun Zhang

Jieyu Zhang

Dujian Ding

Mirian Hipolito Garcia

CoRR, 2024

Language Model Preference Evaluation with Multiple Weak Evaluators.

[BibT_eX]

[DOI]

CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking LLM-based Preference Evaluation.

[BibT_eX]

[DOI]

CoRR, 2024

Biomedical Visual Instruction Tuning with Clinician Preference Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

[BibT_eX]

[DOI]

Khyathi Raghavi Chandu

Alexandros G. Dimakis

CoRR, 2024

Task Me Anything.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive In-conversation Team Building for Language Model Agents.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Training Language Model Agents without Modifying Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Offline Training of Language Model Agents with Functions as Learnable Weights.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Iterated Learning Improves Compositionality in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

ChemSpacE: Interpretable and Interactive Chemical Space Exploration.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2023

EcoAssistant: Using LLM Assistant More Affordably and Accurately.

[BibT_eX]

[DOI]

Jieyu Zhang

Ranjay Krishna

Ahmed Hassan Awadallah

Chi Wang

CoRR, 2023

NLPBench: Evaluating Large Language Models on Solving NLP Problems.

[BibT_eX]

[DOI]

CoRR, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

MaskSearch: Querying Image Masks at Scale.

[BibT_eX]

[DOI]

CoRR, 2023

Multiple Connectivity Views for Session-based Recommendation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Learning Hyper Label Model for Programmatic Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Cheng-Yu Hsieh

Jieyu Zhang

Alexander J. Ratner

Proc. VLDB Endow., 2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

Label-Efficient Interactive Time-Series Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Representation Gap in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Augmentation-Free Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Programmatic Weak Supervision.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Creating Training Sets via Weak Indirect Supervision.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

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

Binary Classification with Positive Labeling Sources.

[BibT_eX]

[DOI]

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

2021

An Overview of Recommendation Techniques and Their Applications in Healthcare.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

WRENCH: A Comprehensive Benchmark for Weak Supervision.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Carl Yang

Jieyu Zhang

Jiawei Han

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

Taxonomy Completion via Triplet Matching Network.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Neural Embedding Propagation on Heterogeneous Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2012

Optical Flow at Occlusion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2011

Jieyu Zhang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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