DP-Prune: Global Optimal Strategy for Retraining-Free Pruning of Transformer Models. - Guangzhen Yao; Long Zhang; Sandong Zhu; Miao Qi (IPCCC, 2024)

HP-YOLOv8: High-Precision Small Object Detection Algorithm for Remote Sensing Images. - Guangzhen Yao; Sandong Zhu; Long Zhang; Miao Qi (Sensors, 2024)

Unlocking the Full Potential of Separable Convolutions on Tensor Cores. - Aodie Cui; Chuangxin Zhao; Xiaoyu Deng; Gaozhe Jiang; Yifan Yang; Guangzhen Yao; Renda Han; Wenxin Zhang; Xi Xuan (ICIC (16), 2025)

SecureNT: Smart Topology Obfuscation for Privacy-Aware Network Monitoring. - Chengze Du; Jibin Shi; Hui Xu; Guangzhen Yao (ICIC (15), 2025)

FreCT: Frequency-Augmented Convolutional Transformer for Robust Time Series Anomaly Detection. - Wenxin Zhang 005; Ding Xu; Guangzhen Yao; Xiaojian Lin; Renxiang Guan; Chengze Du; Renda Han; Xi Xuan; Cuicui Luo (ICIC (16), 2025)

A Reinforcement Learning-Based Retraining-Free Pruning for Encoder-Based Language Models. - Bobin Xie; Renda Han; Guangzhen Yao; Haiming Li; Simeng Zhang; Yutong Chen; Sandong Zhu; Long Zhang (ISCAS, 2025)

A Lightweight Hybrid Network for Object Detection in Remote Sensing Images Balancing Global and Local Information. - Shuting Huang; Ge Zhang; Huanzun Zhang; Hui Xu; Guangzhen Yao; Sandong Zhu; Long Zhang; Jun Kong 004 (IEEE Geosci. Remote. Sens. Lett., 2025)

SOD-YOLOv10: Small Object Detection in Remote Sensing Images Based on YOLOv10. - Hui Sun; Guangzhen Yao; Sandong Zhu; Long Zhang; Hui Xu; Jun Kong (IEEE Geosci. Remote. Sens. Lett., 2025)

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. - Xuyin Qi; Zeyu Zhang 006; Huazhan Zheng; Mingxi Chen; Numan Kutaiba; Ruth Lim; Cherie Chiang; Zi En Tham; Xuan Ren; Wenxin Zhang 005; Lei Zhang; Hao Zhang; et al. (CoRR, 2025)

Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering. - Renda Han; Guangzhen Yao; Wenxin Zhang; Yu Li; Wen Xin; Huajie Lei; Mengfei Li; Zeyu Zhang; Chengze Du; Yahe Tian (CoRR, 2025)

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection. - Wenxin Zhang; Xiaojian Lin; Wenjun Yu; Guangzhen Yao; jingxiang Zhong; Yu Li; Renda Han; Songcheng Xu; Hao Shi; Cuicui Luo (CoRR, 2025)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection. - Wenxin Zhang 005; Jingxing Zhong; Guangzhen Yao; Renda Han; Xiaojian Lin; Zeyu Zhang 006; Cuicui Luo (CoRR, 2025)

Addressing Noise and Stochasticity in Fraud Detection for Service Networks. - Wenxin Zhang 005; Ding Xu; Xi Xuan; Lei Jiang; Guangzhen Yao; Renda Han; Xiangxiang Lang; Cuicui Luo (CoRR, 2025)