Fish recognition from low-resolution underwater images. - Xin Sun 003; Junyu Shi; Junyu Dong; Xinhua Wang (CISP-BMEI, 2016)

Compensated correlation reconstructed technique for unambiguous acquisition of binary offset carrier signals. - Songhua Wang; Hailiang Xiong; Juan Tang; Yong Huang; Junyu Shi (ICCC, 2017)

Integrated lens antenna with a conic extension at 220 GHz. - Dasheng Cui; Junyu Shi; Zhengzhi Ding; Xin Lv (IEICE Electron. Express, 2017)

Improved synchronisation algorithm based on reconstructed correlation function for BOC modulation in satellite navigation and positioning system. - Hailiang Xiong; Songhua Wang; Shu Gong; Meixuan Peng; Junyu Shi; Juan Tang (IET Commun., 2018)

Transferring deep knowledge for object recognition in Low-quality underwater videos. - Xin Sun 003; Junyu Shi; Lipeng Liu; Junyu Dong; Claudia Plant; Xinhua Wang; Huiyu Zhou 001 (Neurocomputing, 2018)

ICA and PIND based Remainder Particle Detection Technique for Space-borne Equipment. - Zhishuai Jiang; Zengshuai Qiu; Yuanda Tian; Junyu Shi; Chengzhong Yu; Hongzhi Gao; Yuliang Zhao (ROBIO, 2021)

Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. - Minghui Li; Wei Wan; Jianrong Lu; Shengshan Hu; Junyu Shi; Leo Yu Zhang; Man Zhou; Yifeng Zheng (MSN, 2022)

Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning. - Junyu Shi; Wei Wan; Shengshan Hu; Jianrong Lu; Leo Yu Zhang (TrustCom, 2022)

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. - Yechao Zhang; Shengshan Hu; Leo Yu Zhang; Junyu Shi; Minghui Li; Xiaogeng Liu; Wei Wan; Hai Jin 001 (CoRR, 2023)

News Stance Discrimination Based on a Heterogeneous Network of Social Background Information Fusion. - Yanze Ren; Yan Liu 057; Jing Chen; Xiaoyu Guo 005; Junyu Shi; Mengmeng Jia (Entropy, 2023)

Joint Detection and Association for End-to-End Multi-object Tracking. - Ye Li; Xiaoyu Luo; Junyu Shi; Xinzhong Wang; Guangqiang Yin; Zhiguo Wang 004 (Neural Process. Lett., 2023)

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. - Yechao Zhang; Shengshan Hu; Leo Yu Zhang; Junyu Shi; Minghui Li; Xiaogeng Liu; Wei Wan; Hai Jin 001 (SP, 2024)

Past Movements-Guided Motion Representation Learning for Human Motion Prediction. - Junyu Shi; Baoxuan Wang (CoRR, 2024)

Multi-Semantics Aggregation Network Based on the Dynamic-Attention Mechanism for 3D Human Motion Prediction. - Junyu Shi; Jianqi Zhong; Wenming Cao 001 (IEEE Trans. Multim., 2024)

Gradient multi-foci networks for 3D skeleton-based human motion prediction. - Junyu Shi; Jianqi Zhong; Zhiquan He; Wenming Cao 001 (Neural Comput. Appl., 2024)

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization. - Yechao Zhang; Yingzhe Xu; Junyu Shi; Leo Yu Zhang; Shengshan Hu; Minghui Li; Yanjun Zhang (AAAI, 2025)

GenM3: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation. - Junyu Shi; Lijiang Liu; Yong Sun; Zhiyuan Zhang; Jinni Zhou; Qiang Nie (CoRR, 2025)

RoboAct-CLIP: Video-Driven Pre-training of Atomic Action Understanding for Robotics. - Zhiyuan Zhang; Yuxin He; Yong Sun; Junyu Shi; Lijiang Liu; Qiang Nie (CoRR, 2025)

ExoGait-MS: Learning Periodic Dynamics with Multi-Scale Graph Network for Exoskeleton Gait Recognition. - Lijiang Liu; Junyu Shi; Yong Sun; Zhiyuan Zhang; Jinni Zhou; Shugen Ma; Qiang Nie (CoRR, 2025)

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining. - Yong Sun; Yipeng Wang; Junyu Shi; Zhiyuan Zhang; Yanmei Xiao; Lei Zhu; Manxi Jiang; Qiang Nie (CoRR, 2025)