TSception: A Deep Learning Framework for Emotion Detection Using EEG. - Yi Ding 012; Neethu Robinson; Qiuhao Zeng; Duo Chen; Aung Aung Phyo Wai; Tih Shih Lee; Cuntai Guan (IJCNN, 2020)

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition. - Yi Ding 012; Neethu Robinson; Qiuhao Zeng; Cuntai Guan (CoRR, 2021)

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface. - Yi Ding 012; Neethu Robinson; Qiuhao Zeng; Cuntai Guan (CoRR, 2021)

Domain-Augmented Domain Adaptation. - Qiuhao Zeng; Tianze Luo; Boyu Wang 004 (CoRR, 2022)

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment. - Qiuhao Zeng; Wei Wang 036; Fan Zhou 006; Charles Ling 001; Boyu Wang 004 (AAAI, 2023)

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments. - Qiuhao Zeng; Wei Wang 036; Fan Zhou 006; Charles Ling 001; Boyu Wang 004 (CoRR, 2023)

TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition. - Yi Ding 012; Neethu Robinson; Su Zhang 004; Qiuhao Zeng; Cuntai Guan (IEEE Trans. Affect. Comput., 2023)

Episodic task agnostic contrastive training for multi-task learning. - Fan Zhou 006; Yuyi Chen; Jun Wen; Qiuhao Zeng; Changjian Shui; Charles X. Ling; Shichun Yang; Boyu Wang 004 (Neural Networks, 2023)

Generalizing across Temporal Domains with Koopman Operators. - Qiuhao Zeng; Wei Wang 036; Fan Zhou 006; Gezheng Xu; Ruizhi Pu; Changjian Shui; Christian Gagné 001; Shichun Yang; Charles X. Ling; Boyu Wang 004 (AAAI, 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 001; Boyu Wang 004 (ICLR, 2024)

Towards Understanding Evolving Patterns in Sequential Data. - Qiuhao Zeng; Long-Kai Huang; Qi Chen 015; Charles X. Ling; Boyu Wang 004 (NeurIPS, 2024)

An Automated Hardware Design Framework for Various DNNs Based on ChatGPT. - Qiuhao Zeng; Yuefei Wang; Zhongfeng Wang 001; Wendong Mao (SOCC, 2024)

LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface. - Yi Ding 012; Neethu Robinson; Chengxuan Tong; Qiuhao Zeng; Cuntai Guan (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the Benefits of Attribute-Driven Graph Domain Adaptation. - Ruiyi Fang; Bingheng Li; Zhao Kang 001; Qiuhao Zeng; Nima Hosseini Dashtbayaz; Ruizhi Pu; Charles Ling 001; Boyu Wang 004 (ICLR, 2025)

ZETA: Leveraging Z-order Curves for Efficient Top-k Attention. - Qiuhao Zeng; Jerry Huang; Peng Lu; Gezheng Xu; Boxing Chen; Charles Ling 001; Boyu Wang 004 (ICLR, 2025)

Homophily Enhanced Graph Domain Adaptation. - Ruiyi Fang; Bingheng Li; Jingyu Zhao; Ruizhi Pu; Qiuhao Zeng; Gezheng Xu; Charles Ling 001; Boyu Wang 004 (CoRR, 2025)

Calibrated Language Models and How to Find Them with Label Smoothing. - Jerry Huang; Peng Lu; Qiuhao Zeng (CoRR, 2025)