Zhengyu Hu

Orcid: 0009-0007-3097-9714

According to our database1, Zhengyu Hu authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection.
CoRR, May, 2026

Controllable Concept Bottleneck Models.
CoRR, January, 2026

HumanLLM: Towards Personalized Understanding and Simulation of Human Nature.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Population-Aligned Persona Generation for LLM-based Social Simulation.
CoRR, September, 2025

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation.
CoRR, July, 2025

Real-time pedestrian recognition model on edge device using infrared vision system.
J. Real Time Image Process., January, 2025

Region-based weighting-and-enhancement network with adaptive class weighting loss for postoperative inguinal hernia prediction.
Eng. Appl. Artif. Intell., 2025

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Editable Concept Bottleneck Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Semi-Supervised Concept Bottleneck Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Explaining Length Bias in LLM-Based Preference Evaluations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Language Model Preference Evaluation with Multiple Weak Evaluators.
CoRR, 2024

Rethinking LLM-based Preference Evaluation.
CoRR, 2024

Semi-supervised Concept Bottleneck Models.
CoRR, 2024

Editable Concept Bottleneck Models.
CoRR, 2024

Embedding Guide: Improving Watermarking Robustness and Imperceptibility based on Attention and Edge Information.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Combining Vision Transformer and Attention Mechanism for Bird Nest Detection on Power Transmission Line.
Proceedings of the 6th International Conference on Internet of Things, 2024

Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

BlockArb: The Decentralized Arbitration Mechanism for Data Trading.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Blockchain-based Medical Image Data Trading Platform with Copyright and Privacy Protection.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction.
CoRR, 2023

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking.
CoRR, 2023

On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2020
A Fast Non-Contact Vital Signs Detection Method Based on Regional Hidden Markov Model in A 77ghz Lfmcw Radar System.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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