Qiuhao Zeng

According to our database, Qiuhao Zeng authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix.

Jinhao Zhang, Kangfei Zhao, Qiuhao Zeng, Long-Kai Huang

CoRR, May, 2026

A Study of Adaptive Modeling Towards Robust Generalization.

Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Yi Li, Yan Sun, Boyu Wang, Pingzhao Hu

CoRR, February, 2026

Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding.

Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Sun, Boyu Wang, Pingzhao Hu

CoRR, February, 2026

Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning.

Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.

Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination.

Qiuhao Zeng

CoRR, November, 2025

Mamba Modulation: On the Length Generalization of Mamba.

Peng Lu, Jerry Huang, Qiuhao Zeng, Xinyu Wang, Boxing Wang, Philippe Langlais, Yufei Cui

CoRR, September, 2025

Calibrated Language Models and How to Find Them with Label Smoothing.

Jerry Huang, Peng Lu, Qiuhao Zeng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Homophily Enhanced Graph Domain Adaptation.

Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.

Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Benefits of Attribute-Driven Graph Domain Adaptation.

Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.

Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, Cuntai Guan

IEEE Trans. Neural Networks Learn. Syst., July, 2024

An Automated Hardware Design Framework for Various DNNs Based on ChatGPT.

Qiuhao Zeng, Yuefei Wang, Zhongfeng Wang, Wendong Mao

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

Towards Understanding Evolving Patterns in Sequential Data.

Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles X. Ling, Boyu Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time.

Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalizing across Temporal Domains with Koopman Operators.

Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Episodic task agnostic contrastive training for multi-task learning.

Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang

Neural Networks, May, 2023

TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition.

Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai Guan

IEEE Trans. Affect. Comput., 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.

Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang

CoRR, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.

Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Domain-Augmented Domain Adaptation.

Qiuhao Zeng, Tianze Luo, Boyu Wang

CoRR, 2022

2021

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface.

Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan

CoRR, 2021

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition.

Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan

CoRR, 2021

2020

TSception: A Deep Learning Framework for Emotion Detection Using EEG.

Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020