Hao Chen

Orcid: 0000-0002-1560-825X

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Institute of Computing Innovation, Hangzhou, China
  • University of Chinese Academy of Sciences, HwaMei Hospital, Ningbo Institute of Life and Health Industry, Ningbo, China


According to our database1, Hao Chen authored at least 26 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

Online presence:

On csauthors.net:

Bibliography

2026
From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment.
CoRR, May, 2026

LADA: Label Disambiguation and Domain-Aware Learning for Domain Generalization.
Mach. Learn., March, 2026

W2S: Weak-to-Strong Prompt Correction for Large Language Models.
Mach. Learn., March, 2026

Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority.
CoRR, February, 2026

Training-Trajectory-Aware Token Selection.
CoRR, January, 2026

Reinforcement Learning with Verbalized Probabilities for LLM Classification.
Proceedings of the ACM Web Conference 2026, 2026

An Invariant Latent Space Perspective on Language Model Inversion.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning.
CoRR, December, 2025

Merge-of-Thought Distillation.
CoRR, September, 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models.
CoRR, May, 2025

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
TableGPT2: A Large Multimodal Model with Tabular Data Integration.
CoRR, 2024

2023
Towards Domain-Specific Features Disentanglement for Domain Generalization.
CoRR, 2023

Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning.
CoRR, 2023

2022
Benchmarking Domain Generalization on EEG-based Emotion Recognition.
CoRR, 2022

Enhancing EEG-Based Emotion Recognition with Fast Online Instance Transfer.
Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022

2021
Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19.
Pattern Recognit., 2021

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition.
CoRR, 2021

Reducing the Calibration Effort of EEG Emotion Recognition using Domain Adaptation with Soft Labels.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

MEERNet: Multi-source EEG-based Emotion Recognition Network for Generalization Across Subjects and Sessions.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Multi-Task Learning for Lung Nodule Classification on Chest CT.
IEEE Access, 2020

FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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