Disturbance rejection of multi-agent systems: A reinforcement learning differential game approach. - Qiang Jiao; Hamidreza Modares; Shengyuan Xu 001; Frank L. Lewis; Kyriakos G. Vamvoudakis (ACC, 2015)

Distributed L2-gain output-feedback control of homogeneous and heterogeneous systems. - Qiang Jiao; Hamidreza Modares; Frank L. Lewis; Shengyuan Xu 001; Lihua Xie 001 (Autom., 2016)

Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control. - Qiang Jiao; Hamidreza Modares; Shengyuan Xu 001; Frank L. Lewis; Kyriakos G. Vamvoudakis (Autom., 2016)

Bipartite tracking of homogeneous and heterogeneous linear multi-agent systems. - Qiang Jiao; Hongwei Zhang 005; Shengyuan Xu 001; Frank L. Lewis; Lihua Xie 001 (Int. J. Control, 2019)

Opinion Propagation Over Signed Networks: Models and Convergence Analysis. - Xue Lin 002; Qiang Jiao; Long Wang 001 (IEEE Trans. Autom. Control., 2019)

Pinning Controllers for Activation Output Tracking of Boolean Network Under One-Bit Perturbation. - Jie Zhong; Daniel W. C. Ho; Jianquan Lu; Qiang Jiao (IEEE Trans. Cybern., 2019)

Optimizing Accelerator on FPGA for Deep Convolutional Neural Networks. - Yong Dong; Wei Hu 001; Yonghao Wang; Qiang Jiao; Shuang Chen (ICA3PP (2), 2020)

Design of a Convolutional Neural Network Instruction Set Based on RISC-V and Its Microarchitecture Implementation. - Qiang Jiao; Wei Hu 001; Yuan Wen; Yong Dong; Zhenhao Li 004; Yu Gan 004 (ICA3PP (2), 2020)

Competitive diffusion in signed social networks: A game-theoretic perspective. - Xue Lin 002; Qiang Jiao; Long Wang 001 (Autom., 2020)

Information Propagation Over Networks With Antagonistic Interactions: The Equilibrium Analysis. - Xue Lin 002; Qiang Jiao; Long Wang 001 (IEEE Trans. Control. Netw. Syst., 2020)

Software/Hardware Co-Design Optimization for Sparse Convolutional Neural Networks. - Wei Hu 001; Yong Dong; Fang Liu 031; Qiang Jiao (SMC, 2021)

RISC-VTF: RISC-V Based Extended Instruction Set for Transformer. - Qiang Jiao; Wei Hu 001; Fang Liu 031; Yong Dong (SMC, 2021)

Middle-Level Feature Fusion for Lightweight RGB-D Salient Object Detection. - Nianchang Huang; Qiang Jiao; Qiang Zhang 020; Jungong Han (IEEE Trans. Image Process., 2022)

Efficient RGB-T Tracking via Cross-Modality Distillation. - Tianlu Zhang; Hongyuan Guo; Qiang Jiao; Qiang Zhang 020; Jungong Han (CVPR, 2023)

The Equilibrium Analysis for Competitive Spreading Over Networks With Mutations. - Xue Lin 002; Qiang Jiao (IEEE Control. Syst. Lett., 2024)

Deep unsupervised shadow detection with curriculum learning and self-training. - Qiang Zhang 020; Hongyuan Guo; Guanghe Li; Tianlu Zhang; Qiang Jiao (Comput. Vis. Image Underst., 2024)

Exploring Multi-Modal Spatial-Temporal Contexts for High-Performance RGB-T Tracking. - Tianlu Zhang; Qiang Jiao; Qiang Zhang 020; Jungong Han (IEEE Trans. Image Process., 2024)

Epidemic Spreading Over Multi-Layer Networks With Stubborn Agents. - Xue Lin 002; Yun Shang; Qiang Jiao (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Feature Calibrating and Fusing Network for RGB-D Salient Object Detection. - Qiang Zhang 020; Qi Qin; Yang Yang 132; Qiang Jiao; Jungong Han (IEEE Trans. Circuits Syst. Video Technol., 2024)

Mitigating Modality Discrepancies for RGB-T Semantic Segmentation. - Shenlu Zhao; Yichen Liu; Qiang Jiao; Qiang Zhang 020; Jungong Han (IEEE Trans. Neural Networks Learn. Syst., 2024)

AMNet: Learning to Align Multi-Modality for RGB-T Tracking. - Tianlu Zhang; Xiaoyi He; Qiang Jiao; Qiang Zhang 020; Jungong Han (IEEE Trans. Circuits Syst. Video Technol., 2024)

Resolving semantic conflicts in RGB-T semantic segmentation. - Shenlu Zhao; Ziniu Jin; Qiang Jiao; Qiang Zhang 020; Jungong Han (Pattern Recognit., 2025)