Single-Cell Transcriptomics Reveals Heterogeneity and Drug Response of Human Colorectal Cancer Organoids. - Kai-Yuan Chen; Tara Srinivasan; Christopher Lin; Kuei-Ling Tung; Ziyang Gao; David S. Hsu; Steven M. Lipkin; Xiling Shen (EMBC, 2018)

Microbiota of Inflammatory Bowel Disease Models. - Ziyang Gao; Kai-Yuan Chen; Olaf Mueller; Han Zhang; Nikolai Rakhilin; Jiande Chen; Xiling Shen (EMBC, 2018)

The optimal game model of energy consumption for nodes cooperation in WSN. - Jun Zhang; Jihang Yin; Tianyi Xu; Ziyang Gao; Honggang Qi; Hongsheng Yin 001 (J. Ambient Intell. Humaniz. Comput., 2020)

Deeply Tensor Compressed Transformers for End-to-End Object Detection. - Peining Zhen; Ziyang Gao; Tianshu Hou; Yuan Cheng; Hai-Bao Chen (AAAI, 2022)

Learning from Noisy Labels via Meta Credible Label Elicitation. - Ziyang Gao; Yaping Yan; Xin Geng 001 (ICIP, 2022)

HFOD: A hardware-friendly quantization method for object detection on embedded FPGAs. - Fei Zhang; Ziyang Gao; Jiaming Huang; Peining Zhen; Hai-Bao Chen; Jie Yan (IEICE Electron. Express, 2022)

Driver-Integrated Silicon Carbide Based Power Module with Self-Optimized Current-Sensorless Temperature-Driven Deadtime Control. - Chun-Kit Cheung; Ziyang Gao (IECON, 2023)

Automated void detection in high resolution x-ray printed circuit boards (PCBs) images with deep segmentation neural network. - Ho Yeung Ma; Minglu Xia; Ziyang Gao; Wenjing Ye (Eng. Appl. Artif. Intell., 2024)

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. - Linhai Zhang; Ziyang Gao; Deyu Zhou; Yulan He 001 (ACL (Findings), 2025)

Dual-branch cross-modal fusion with local-to-global learning for UAV object detection. - Binyi Fang; Yixin Yang 004; Jingjing Chang; Ziyang Gao; Hai-Bao Chen (ASP-DAC, 2025)

CaS2M: A Calibrated Single-to-Multiple Framework for Real-World Partial Fingerprint Recognition. - Ziyang Gao; Xianglong Li; Guan Wang; Tianfan Peng; Jingjing Chang; Yixin Yang 004; Hai-Bao Chen (IEEE Trans. Inf. Forensics Secur., 2025)

A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field. - Ziyang Gao; Yong Tian; Shih-Chi Lin; Junghua Lin (CoRR, 2025)

MemATr: An Efficient and Lightweight Memory-augmented Transformer for Video Anomaly Detection. - Jingjing Chang; Peining Zhen; Xiaotao Yan; Yixin Yang 004; Ziyang Gao; Haibao Chen (ACM Trans. Embed. Comput. Syst., 2025)