Qiuhao Zeng

31 papers A* 9B 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Study of Adaptive Modeling Towards Robust Generalization.
CoRR
Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Yi Li, Yan Sun, Boyu Wang, Pingzhao Hu
2026 J jnl
Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding.
CoRR
Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Sun, Boyu Wang, Pingzhao Hu
2026 A* conf
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.
AAAI
Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang
2026 J jnl
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.
CoRR
Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang
2026 — conf
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning.
EACL (Volume 2: Short Papers)
Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li
2026 J jnl
Investigating the Multilingual Calibration Effects of Language Model Instruction-Tuning.
CoRR
Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li
2025 A* conf
Calibrated Language Models and How to Find Them with Label Smoothing.
ICML
Jerry Huang, Peng Lu, Qiuhao Zeng
2025 J jnl
Calibrated Language Models and How to Find Them with Label Smoothing.
CoRR
Jerry Huang, Peng Lu, Qiuhao Zeng
2025 A* conf
Homophily Enhanced Graph Domain Adaptation.
ICML
Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang
2025 J jnl
Homophily Enhanced Graph Domain Adaptation.
CoRR
Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang
2025 J jnl
Mamba Modulation: On the Length Generalization of Mamba.
CoRR
Peng Lu, Jerry Huang, Qiuhao Zeng, Xinyu Wang, Boxing Wang, Philippe Langlais, Yufei Cui
2025 A* conf
On the Benefits of Attribute-Driven Graph Domain Adaptation.
ICLR
Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang
2025 J jnl
On the Benefits of Attribute-Driven Graph Domain Adaptation.
CoRR
Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling
2025 J jnl
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination.
CoRR
Qiuhao Zeng
2025 A* conf
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
ICLR
Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
2025 J jnl
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
CoRR
Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
2024 — conf
An Automated Hardware Design Framework for Various DNNs Based on ChatGPT.
SOCC
Qiuhao Zeng, Yuefei Wang, Zhongfeng Wang, Wendong Mao
2024 A* conf
Generalizing across Temporal Domains with Koopman Operators.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
2024 J jnl
Generalizing across Temporal Domains with Koopman Operators.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
2024 J jnl
LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst.
Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, Cuntai Guan
2024 A* conf
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time.
ICLR
Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
2024 A* conf
Towards Understanding Evolving Patterns in Sequential Data.
NeurIPS
Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles X. Ling, Boyu Wang
2023 J jnl
Episodic task agnostic contrastive training for multi-task learning.
Neural Networks
Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang
2023 J jnl
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang
2023 A* conf
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang
2023 J jnl
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition.
IEEE Trans. Affect. Comput.
Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai Guan
2022 J jnl
Domain-Augmented Domain Adaptation.
CoRR
Qiuhao Zeng, Tianze Luo, Boyu Wang
2021 J jnl
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface.
CoRR
Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan
2021 J jnl
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition.
CoRR
Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan
2020 B conf
TSception: A Deep Learning Framework for Emotion Detection Using EEG.
IJCNN
Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan
2020 J jnl
TSception: A Deep Learning Framework for Emotion Detection Using EEG.
CoRR
Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan