Xiangzeng Kong

30 papers B 1C 4Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond a single perspective: A multi-agent debate framework for affective computing. Pattern Recognit. Yijie Pan, Yuanchun Shi, Chun Yu, Xiangzeng Kong, Yan Zhang, Naian Xiao
2026	J	`jnl`	EEG-based multimodal emotion recognition framework with supervised contrastive learning and spatial-temporal convolutional attention network. Digit. Signal Process. Rongyue Zhao, Tianyuan Ma, Wangsen Li, Yihua Li, Jinghu Li, Dong Huang, Xiangzeng Kong, Chen Zhao
2026	J	`jnl`	Safe multi-agent reinforcement learning based on adversarial strategy and control barrier function feasible set. Neurocomputing Shihan Liu, Shaohua Wang, Minxin Dai, Guodong Lian, Jinchai Xu, Xiangzeng Kong
2025	—	`ed.`	Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part I ICAI (1) De-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong
2025	—	`ed.`	Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part II ICAI (2) De-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong
2025	J	`jnl`	DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation. CoRR Zexin Wang, Lin Shi, Haoyu Wu, JunRu Luo, Xiangzeng Kong, Jun Qi
2025	—	`conf`	LiteGate-SST: A Spectral-Spatial-Temporal Lightweight Network with Unified Gating for Cross-Subject EEG Attention Recognition. ISAIMS Yihua Li, Rongyue Zhao, Wangsen Li, Xiangzeng Kong
2025	—	`conf`	Prototype-Driven Multi-Scale Feature Alignment Network for Cross-Session EEG Motor Imagery Decoding. ISAIMS Rongyue Zhao, Yihua Li, Ruiqing Li, Jinghu Li, Xiangzeng Kong
2024	J	`jnl`	A Lightweight and High-Precision Passion Fruit YOLO Detection Model for Deployment in Embedded Devices. Sensors Qiyan Sun, Pengbo Li, Chentao He, Qiming Song, Jierui Chen, Xiangzeng Kong, Zhicong Luo
2024	C	`conf`	Depression Detection with EEG Based on Mutual Information Regularization. ISPA Haoyu Lin, Tianyuan Ma, Chen Zhao, Jun Qi, Tingting Zhang, Xiangzeng Kong
2024	—	`conf`	EEG-based Epilepsy Detection Using Robust Feature Learning Model with Manhattan Distance and L1 Regularization. BIBM Weihai Huang, Weize Yang, Zhicong Luo, Jun Qi, Qiyan Sun, Xiangzeng Kong
2024	J	`jnl`	Electroencephalography-Based Motor Imagery Classification Using Multi-Scale Feature Fusion and Adaptive Lasso. Big Data Cogn. Comput. Shimiao Chen, Nan Li, Xiangzeng Kong, Dong Huang, Tingting Zhang
2024	C	`conf`	Improved Motor Imagery Classification Using Elastic Net-based Feature Optimization and a Heterogeneous Ensemble Classifier. ISPA Shimiao Chen, Xiangzeng Kong, Junfeng Han, Cailin Wu, Tingting Zhang
2024	J	`jnl`	Motor Imagery EEG Signal Classification Using Distinctive Feature Fusion with Adaptive Structural LASSO. Sensors Weihai Huang, Xinyue Liu, Weize Yang, Yihua Li, Qiyan Sun, Xiangzeng Kong
2024	—	`conf`	Motor Imagery EEG Signals Decoding with Multi-view Weighted Features. ICAI (2) Nan Li, Wangsen Li, Tingting Zhang, Dong Huang, Junfeng Han, Xiangzeng Kong
2024	—	`conf`	ParaBFT: An Efficient Parallel Asynchronous BFT Agreement. BIBM Yu Lan, Hui Huang, Qingming He, Caixia Wu, Shuaike Wu, Xiangzeng Kong
2024	J	`jnl`	Sleep Stage Classification Via Multi-View Based Self-Supervised Contrastive Learning of EEG. IEEE J. Biomed. Health Informatics Chen Zhao, Wei Wu, Haoyi Zhang, Ruiyan Zhang, Xinyue Zheng, Xiangzeng Kong
2024	C	`conf`	Sound-based Bee Colony State Analysis Using Compact MFCC Patterns. ISPA Weihai Huang, Weize Yang, Zhicong Luo, Jun Qi, Tingting Zhang, Xiangzeng Kong
2023	J	`jnl`	Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang
2023	J	`jnl`	SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection. Biomed. Signal Process. Control. Tao Wu, Yujie Fan, Yunning Zhong, Xiu Cheng, Xiangzeng Kong, Lifei Chen
2022	—	`conf`	Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion. BIBM Tao Wu, Yunning Zhong, Yujie Fan, Xiangzeng Kong, Lifei Chen
2021	C	`conf`	Automatic classification of EEG signals via deep learning. INDIN Tao Wu, Xiangzeng Kong, Yiwen Wang, Xue Yang, Jingxuan Liu, Jun Qi
2020	J	`jnl`	Anomalies in continuous GPS data as precursors of 15 large earthquakes in Western North America during 2007-2016. Earth Sci. Informatics Nan Li, Xiangzeng Kong, Ling Lin
2020	J	`jnl`	Detecting anomalies in sequential data augmented with new features. Artif. Intell. Rev. Xiangzeng Kong, Yaxin Bi, David H. Glass
2018	J	`jnl`	Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiangzeng Kong, Nan Li, Ling Lin, Pan Xiong, Jun Qi
2015	J	`jnl`	Detecting Seismic Anomalies in Outgoing Long-Wave Radiation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiangzeng Kong, Yaxin Bi, David H. Glass
2014	—	`conf`	Kernel learning method for distance-based classification of categorical data. UKCI Lifei Chen, Gongde Guo, Shengrui Wang, Xiangzeng Kong
2013	B	`conf`	An Anomaly Analysis Method Based on Morphological Features. SMC Xiangzeng Kong, Yaxin Bi, David H. Glass
2012	—	`conf`	A Geometric Moving Average Martingale method for detecting changes in data streams. SGAI Conf. Xiangzeng Kong, Yaxin Bi, David H. Glass
2011	J	`jnl`	A Novel Robust Mesh Watermarking Based on BNBW. EURASIP J. Adv. Signal Process. Liping Chen, Xiangzeng Kong, Bin Weng, Zhiqiang Yao, Rijing Pan