Hao Chen

28 papers A* 4Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
An Invariant Latent Space Perspective on Language Model Inversion.
AAAI
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2026 J jnl
LADA: Label Disambiguation and Domain-Aware Learning for Domain Generalization.
Mach. Learn.
Zhiqing Xiao, Haobo Wang, Yali Ye, Wentao Ye, Hao Chen, Gang Chen, Junbo Zhao, Rex Ying
2026 A* conf
Reinforcement Learning with Verbalized Probabilities for LLM Classification.
WWW
Liyao Li, Hao Chen, Jiaming Tian, Wentao Ye, Lirong Gao, Chao Ye, Ningtao Wang, Xing Fu, Yu Cheng, Haobo Wang, Gang Chen, Junbo Zhao
2026 J jnl
Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority.
CoRR
Zhanming Shen, Zeyu Qin, Jiaqi Hu, Wentao Ye, Hao Chen, Xiaomeng Hu, Haokai Xu, Gang Chen, Yi R. Fung, Haobo Wang
2026 J jnl
Training-Trajectory-Aware Token Selection.
CoRR
Zhanming Shen, Jiaqi Hu, Zeyu Qin, Hao Chen, Wentao Ye, Zenan Huang, Yihong Zhuang, Guoshan Lu, Jun Zhou, Junbo Zhao
2026 J jnl
W2S: Weak-to-Strong Prompt Correction for Large Language Models.
Mach. Learn.
Lirong Gao, Xinyi Wang, Hao Chen, Ru Peng, Qi Zhang, Yiming Zhang, Wentao Ye, Haoze Li, Haobo Wang, Junbo Zhao
2025 — conf
ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models.
ACL (Findings)
Hao Chen, Haoze Li, Zhiqing Xiao, Lirong Gao, Qi Zhang, Xiaomeng Hu, Ningtao Wang, Xing Fu, Junbo Zhao
2025 J jnl
ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models.
CoRR
Hao Chen, Haoze Li, Zhiqing Xiao, Lirong Gao, Qi Zhang, Xiaomeng Hu, Ningtao Wang, Xing Fu, Junbo Zhao
2025 J jnl
An Invariant Latent Space Perspective on Language Model Inversion.
CoRR
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2025 A* conf
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.
EMNLP
Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao
2025 J jnl
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.
CoRR
Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao
2025 A* conf
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
EMNLP
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao
2025 J jnl
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
CoRR
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao
2025 — conf
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains.
EMNLP (Findings)
Liyao Li, Jiaming Tian, Hao Chen, Wentao Ye, Chao Ye, Haobo Wang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao
2025 J jnl
Merge-of-Thought Distillation.
CoRR
Zhanming Shen, Zeyu Qin, Zenan Huang, Hao Chen, Jiaqi Hu, Yihong Zhuang, Guoshan Lu, Gang Chen, Junbo Zhao
2025 J jnl
TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning.
CoRR
Saisai Yang, Qingyi Huang, Jing Yuan, Liangyu Zha, Kai Tang, Yuhang Yang, Ning Wang, Yucheng Wei, Liyao Li, Wentao Ye, Hao Chen, Tao Zhang, Junlin Zhou, Haobo Wang, Gang Chen, Junbo Zhao
2024 J jnl
TableGPT2: A Large Multimodal Model with Tabular Data Integration.
CoRR
Aofeng Su, Aowen Wang, Chao Ye, Chen Zhou, Ga Zhang, Gang Chen, Guangcheng Zhu, Haobo Wang, Haokai Xu, Hao Chen, Haoze Li, Haoxuan Lan, Jiaming Tian, Jing Yuan, Junbo Zhao, Junlin Zhou, Kaizhe Shou, Liangyu Zha, Lin Long, Liyao Li, Pengzuo Wu, Qi Zhang, Qingyi Huang, Saisai Yang, Tao Zhang, Wentao Ye, Wufang Zhu, Xiaomeng Hu, Xijun Gu, Xinjie Sun, Xiang Li, Yuhang Yang, Zhiqing Xiao
2023 J jnl
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning.
CoRR
Hao Chen, Yiming Zhang, Qi Zhang, Hantao Yang, Xiaomeng Hu, Xuetao Ma, Yifan Yanggong, Junbo Zhao
2023 J jnl
Towards Domain-Specific Features Disentanglement for Domain Generalization.
CoRR
Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao
2022 J jnl
Benchmarking Domain Generalization on EEG-based Emotion Recognition.
CoRR
Yan Li, Hao Chen, Jake Zhao, Haolan Zhang, Jinpeng Li
2022 — ch.
Enhancing EEG-Based Emotion Recognition with Fast Online Instance Transfer.
Integrating Artificial Intelligence and IoT for Advanced Health Informatics
Hao Chen, Huiguang He, Ting Cai, Jinpeng Li
2021 — conf
EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations.
EMBC
Ming Jin, Hao Chen, Zhunan Li, Jinpeng Li
2021 — conf
MEERNet: Multi-source EEG-based Emotion Recognition Network for Generalization Across Subjects and Sessions.
EMBC
Hao Chen, Zhunan Li, Ming Jin, Jinpeng Li
2021 J jnl
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition.
CoRR
Hao Chen, Ming Jin, Zhunan Li, Cunhang Fan, Jinpeng Li, Huiguang He
2021 J jnl
Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19.
Pattern Recognit.
Jinpeng Li, Gangming Zhao, Yaling Tao, Penghua Zhai, Hao Chen, Huiguang He, Ting Cai
2021 — conf
Reducing the Calibration Effort of EEG Emotion Recognition using Domain Adaptation with Soft Labels.
EMBC
Zhunan Li, Hao Chen, Ming Jin, Jinpeng Li
2020 — conf
FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition.
BIBM
Jinpeng Li, Hao Chen, Ting Cai
2020 J jnl
Multi-Task Learning for Lung Nodule Classification on Chest CT.
IEEE Access
Penghua Zhai, Yaling Tao, Hao Chen, Ting Cai, Jinpeng Li