Realization of neural coding by stochastic switching of magnetic tunnel junction. - Deming Zhang; Lang Zeng; Fanghui Gong; Tianqi Gao; Shaolong Gao; Youguang Zhang; Weisheng Zhao (NVMTS, 2015)

Spin wave based synapse and neuron for ultra low power neuromorphic computation system. - Lang Zeng; Deming Zhang; Youguang Zhang; Fanghui Gong; Tianqi Gao; Sa Tu; Haiming Yu; Weisheng Zhao (ISCAS, 2016)

Distributed cooperative control of virtual synchronous generator based microgrid. - Weihang Yan; Wei Gao; Tianqi Gao; David Wenzhong Gao; Shijie Yan; Jianhui Wang (EIT, 2017)

Toward a pixel-parallel architecture for graph cuts inference on FPGA. - Tianqi Gao; Jungwook Choi; Shang-nien Tsai; Rob A. Rutenbar (FPL, 2017)

Proposal for novel magnetic memory device with spin momentum locking materials. - Xiaowan Qin; Lang Zeng; Tianqi Gao; Deming Zhang; Mingzhi Long; Youguang Zhang; Weisheng Zhao (NANOARCH, 2017)

Frequency modulation of spin torque nano oscillator with voltage controlled magnetic anisotropy effect. - Zuodong Zhang; Lang Zeng; Tianqi Gao; Deming Zhang; Xiaowan Qin; Mingzhi Long; Youguang Zhang; Haiming Yu; Weisheng Zhao (NANOARCH, 2017)

Finding Measurement Configurations for Accurate Robot Calibration: Validation With a Cable-Driven Robot. - Hongbo Wang; Tianqi Gao; Jun Kinugawa; Kazuhiro Kosuge (IEEE Trans. Robotics, 2017)

A Virtual Image Accelerator for Graph Cuts Inference on FPGA. - Tianqi Gao; Rob A. Rutenbar (ASAP, 2019)

A Pixel-Parallel Virtual-Image Architecture for High Performance and Power Efficient Graph Cuts Inference. - Tianqi Gao; Rob A. Rutenbar (FPGA, 2019)

Modulation and Demodulation of Digital Frequency Shift Keying System Based on Spin Torque Nano Oscillator with Voltage Controlled Magnetic Anisotropy Effect. - Lang Zeng; Zuodong Zhang; Haoxuan Chen; Tianqi Gao; Deming Zhang; Mingzhi Long; Youguang Zhang; Weisheng Zhao (ISCAS, 2019)

Micro-video Learning Resource Portrait and Its Application. - Jinjiao Lin; Yanze Zhao; Tianqi Gao; Chunfang Liu; Haitao Pu (HCC, 2020)

Embedding error correction into crossbars for reliable matrix vector multiplication using emerging devices. - Qiuwen Lou; Tianqi Gao; Patrick Faley; Michael T. Niemier; Xiaobo Sharon Hu; Siddharth Joshi 001 (ISLPED, 2020)

A pixel-parallel architecture for graph cuts inference - Tianqi Gao (2020)

Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. - Tianqi Gao; Wenyuan Qiao; Hao Li 009; Maoguo Gong; Gengchao Li; Jie Min (EMO, 2021)

Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. - Zhuping Hu; Tianqi Gao; Hao Li 009; Maoguo Gong; Yue Wu 004; Jieyi Liu; Jiao Shi (IJCNN, 2022)

Fuzzy Active Contour Model With Markov Random Field for Change Detection. - Fei Xie 007; Wenyuan Qiao; Tianqi Gao; Qun Duan; Tianshi Luo; Hao Li 009 (IEEE Access, 2022)

Graph convolutional neural networks-based assessment of students' collaboration ability. - Jinjiao Lin; Tianqi Gao; Yuhua Wen; Xianmiao Yu; Bi-Zhen You; Yanfang Yin; Yanze Zhao; Haitao Pu (Concurr. Comput. Pract. Exp., 2022)

Joint Optimization of Privacy Protection and Resource Allocation for Vehicular Edge Networks. - Tianqi Gao; Hongfeng Tao; Yuanzhi Ni; Jun Shi; Fengcheng Jiang (ICCC, 2023)

An M-Nary SAR Image Change Detection Based on GAN Architecture Search. - Maoguo Gong; Tianqi Gao; Mingyang Zhang 002; Wei Li 190; Zhibin Wang 004; Dezhong Li (IEEE Trans. Geosci. Remote. Sens., 2023)

RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification. - Maoguo Gong; Wenyuan Qiao; Hao Li 009; A. Kai Qin; Tianqi Gao; Tianshi Luo; Lining Xing 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Superpixel-based multiobjective change detection based on self-adaptive neighborhood-based binary differential evolution. - Tianqi Gao; Hao Li 009; Maoguo Gong; Mingyang Zhang 002; Wenyuan Qiao (Expert Syst. Appl., 2023)

Multiobjective sparse unmixing based hyperspectral change detection. - Xiangming Jiang; Tianqi Gao; Maoguo Gong; Fenlong Jiang; Mingyang Zhang 002; Jieyi Liu (Appl. Soft Comput., 2024)

A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. - Hao Li 009; Mingyang Zhang 002; Ziqi Di; Maoguo Gong; Tianqi Gao; A. Kai Qin (IEEE Trans. Geosci. Remote. Sens., 2024)

Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images. - Yan Pu; Maoguo Gong; Tongfei Liu; Mingyang Zhang 002; Tianqi Gao; Fenlong Jiang; Xiaobo Hu (IEEE Trans. Geosci. Remote. Sens., 2024)

Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification. - Yue Zhao; Maoguo Gong; A. Kai Qin; Mingyang Zhang 002; Zhuping Hu; Tianqi Gao; Yan Pu (IEEE Trans. Geosci. Remote. Sens., 2024)

Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network. - Mingyang Zhang 002; Tianqi Gao; Maoguo Gong; Shengqi Zhu 001; Yue Wu 004; Hao Li 009 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Game theory-based vehicle selection and channel scheduling for federated learning in vehicular edge networks. - Tianqi Gao; Yuanzhi Ni; Hongfeng Tao; Zhuocheng Du; Zhenshu Zhu (Comput. Networks, 2025)

A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering. - Tianqi Gao; Maoguo Gong; Xiangming Jiang; Yue Zhao; Hao Liu; Yan Pu (Knowl. Based Syst., 2025)