Compensation for injury potential by electrical stimulation after acute spinal cord injury in rat. - Guang-Hao Zhang; Aihua Wang; Cheng Zhang; Chang-Zhe Wu; Jinzhu Bai; Xiao-Lin Huo (EMBC, 2013)

Real-Time Simulation in Dynamic Electromagnetic Scenes Using PipelineThread Pool. - Mukai Chen; Yao Lu; Guang-Hao Zhang; Wencai Zou (CIS, 2014)

Multi-scale Monte Carlo-Based Tracking Method for Abrupt Motion. - Guang-Hao Zhang; Yao Lu; Mukai Chen (CIS, 2014)

Injury potentials of spinal cord in ex vivo compression injury model. - Ai-Hua Wang; Guang-Hao Zhang; Cheng Zhang; Xiao-Lin Huo; Tao Song (EMBC, 2015)

A model of injury potential for myelinated nerve fiber. - Guang-Hao Zhang; Xiao-Lin Huo; Ai-Hua Wang; Cheng Zhang; Chang-Zhe Wu (EMBC, 2015)

Design of site-directed magnetic targeting system in acute spinal cord injury. - Guang-Hao Zhang; Ai-Hua Wang; Cheng Zhang; Chang-Zhe Wu; Li-Li Hu; Xiao-Lin Huo (EMBC, 2015)

Oscillating field stimulation promotes recovery after spinal cord injury in rats: Assessment using behavioral, electrophysiological and histological evaluations. - Cheng Zhang; Guang-Hao Zhang; Aihua Wang; Chang-Zhe Wu; Xiao-Lin Huo (EMBC, 2015)

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. - Shangbo Mao; Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (CoRR, 2016)

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (CoRR, 2016)

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (CoRR, 2016)

Electric field stimulation protects injured spinal cord from secondary inflammatory response in rats. - Xiao-Lin Huo; Guang-Hao Zhang; Chang-Zhe Wu; Cheng Zhang (EMBC, 2017)

Compact Feature Representation for Image Classification Using ELMs. - Dongshun Cui; Guanghao Zhang; Wei Han (ICCV Workshops, 2017)

Elmnet: Feature learning using extreme learning machines. - Dongshun Cui; Guang-Bin Huang; Liyanaarachchi Lekamalage Chamara Kasun; Guanghao Zhang; Wei Han (ICIP, 2017)

Stable and improved generative adversarial nets (GANS): A constructive survey. - Guanghao Zhang; Enmei Tu; Dongshun Cui (ICIP, 2017)

A theoretical study of the relationship between an ELM network and its subnetworks. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Shangbo Mao; Guang-Bin Huang (IJCNN, 2017)

Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder. - Guanghao Zhang; Dongshun Cui; Shangbo Mao; Guang-Bin Huang (ELM, 2018)

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (IEEE Trans. Intell. Transp. Syst., 2018)

MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT. - Weifeng Sun; Zun Wang; Guanghao Zhang; Boxiang Dong (ADMA, 2019)

A GIS-Based Optimize Routing Algorithm for VANET in Urban Scenarios. - Weifeng Sun; MingHan Jia; Shumiao Yu; Guanghao Zhang; Tie Qiu 001 (SmartIoT, 2019)

An Outage Probability Based Channel Bonding Algorithm for 6G Network. - Weifeng Sun; Guanghao Zhang; Yiming Zhou; Rui Guo (6GN, 2020)

RAT-NHP: Radio Access Technology Selection Based on N-hop Prediction. - Weifeng Sun; Guanghao Zhang; Yuankui Zhang; Chi Lin (INFOCOM Workshops, 2020)

RFBBR: A Rtt Faireness Awared Algorithm Based on BBR. - Weifeng Sun; Minghan Jia; Guanghao Zhang; Zun Wang (SmartIoT, 2020)

Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. - Enmei Tu; Guanghao Zhang; Shangbo Mao; Lily Rachmawati; Guang-Bin Huang (CoRR, 2020)

Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine. - Guanghao Zhang; Dongshun Cui; Shangbo Mao; Guang-Bin Huang (Int. J. Mach. Learn. Cybern., 2020)

R-ELMNet: Regularized extreme learning machine network. - Guanghao Zhang; Yue Li 024; Dongshun Cui; Shangbo Mao; Guang-Bin Huang (Neural Networks, 2020)

Implementation of Signal Detection and Control of Bioartificial Liver Support System. - Chang-Zhe Wu; Ke Li; Cheng Zhang; Guang-Hao Zhang; Xiao-Lin Huo (BIBE, 2021)

Self-Attention Based Virtual Staining for Bright-field Images of Label-free Human Carotid Atherosclerotic Plaque Tissue Section. - Guanghao Zhang; Hui Hui; Bin Ning; Di Dong; Jie Tian 001; Wen He (EMBC, 2021)

Face Liveness Detection Competition (LivDet-Face) - 2021. - Sandip Purnapatra; Nic Smalt; Keivan Bahmani; Priyanka Das 004; David Yambay; Amir Mohammadi; Anjith George; Thirimachos Bourlai; Sébastien Marcel; Stephanie Schuckers; Meiling Fang; Naser Damer; et al. (IJCB, 2021)

An Enhanced Hemostatic Ultrasonic Scalpel Based on the Longitudinal-Torsional Vibration Mode. - Jinhua Li; Xinyu Dong; Guanghao Zhang; Zhicheng Guo; Guokai Zhang; Chaoyang Shi (IEEE Access, 2021)

A QoS-guaranteed intelligent routing mechanism in software-defined networks. - Weifeng Sun; Zun Wang; Guanghao Zhang (Comput. Networks, 2021)

An On-Demand Channel Bonding Algorithm Based on Outage Probability for Large-Scale Industrial Internet of Things. - Weifeng Sun; Guanghao Zhang; Kelong Meng; Guangjie Han; Tie Qiu 001 (IEEE Internet Things J., 2022)

Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. - Yaxin Shang; Zechen Wei; Hui Hui; Xiaohu Li; Liang Li; Yongqiang Yu; Ligong Lu; Li Li; Hongjun Li; Qi Yang; Meiyun Wang; Meixiao Zhan; et al. (Medical Biol. Eng. Comput., 2022)

WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing. - Rijun Wang; Guanghao Zhang; Fulong Liang; Bo Wang; Xiangwei Mou; Yesheng Chen; Peng Sun; Canjin Wang (CoRR, 2024)

LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation. - Fangxun Shu; Yue Liao; Le Zhuo; Chenning Xu; Guanghao Zhang; Haonan Shi; Long Chen 016; Tao Zhong; Wanggui He; Siming Fu; Haoyuan Li 002; Bolin Li; et al. (CoRR, 2024)

Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning. - Rijun Wang; Guanghao Zhang; Hongyang Chen; Xinye Yu; Yesheng Chen; Fulong Liang; Xiangwei Mou; Bo Wang (CoRR, 2024)

Probe Design for Measurement and Verification of Electric Field Induced by Figure-8 Coil in Transcranial Magnetic Stimulation. - Nianshuang Wu; Zhen Wu; Cheng Zhang; Chang-Zhe Wu; Xiaolin Huo; Guanghao Zhang (IEEE Trans. Instrum. Meas., 2024)

Multiple Similarity Analysis-Based Deep Metric Learning for Enhancing Wi-Fi Fingerprint Indoor Localization. - Shuai Zhang; Guanghao Zhang; Ruizhi Chen; Yunjia Wang (IEEE Internet Things J., 2024)

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval. - Shangzhe Di; Zhelun Yu; Guanghao Zhang; Haoyuan Li 002; Tao Zhong; Hao Cheng; Bolin Li; Wanggui He; Fangxun Shu; Hao Jiang 014 (ICLR, 2025)

LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation. - Fangxun Shu; Yue Liao; Lei Zhang 006; Le Zhuo; Chenning Xu; Guanghao Zhang; Haonan Shi; Long Chan; Tao Zhong; Zhelun Yu; Wanggui He; Siming Fu; et al. (ICLR, 2025)

VPSNet: 3D object detection with voxel purification and fully sparse convolutional networks. - Jia Wen; Qi Zhang; Guanghao Zhang (J. Supercomput., 2025)

MINT: Multi-modal Chain of Thought in Unified Generative Models for Enhanced Image Generation. - Yi Wang; Mushui Liu; Wanggui He; Longxiang Zhang; Ziwei Huang; Guanghao Zhang; Fangxun Shu; Tao Zhong; Dong She; Zhelun Yu; Haoyuan Li 002; Weilong Dai; et al. (CoRR, 2025)

CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation. - Guanghao Zhang; Tao Zhong; Yan Xia 006; Zhelun Yu; Haoyuan Li 002; Wanggui He; Fangxun Shu; Mushui Liu; Dong She; Yi Wang; Hao Jiang 014 (CoRR, 2025)