Publications

Note: Papers are organized by research direction. * indicates equal contribution; ^# indicates corresponding author.

Direction 1: AI for Science (AI4Science)

Focusing on medical diagnosis, bioinformatics, computational biology, and intelligent healthcare.

		High-resolution phage-host assignment through key proteins using large language models Zhihua Du, Min Li, Kaihuang Lin, Yuehua Ou, Zihao Lin, Bo Xing, Wenchen Song, Jie Chen, Jianqiang Li, Junhua Li, Minfeng Xiao Nature Communications, Vol. 17, Article number: 1760, 2026. [Nature Index]
		Interpretable Dynamic Directed Graph Convolutional Network for Multi-Relational Prediction of Missense Mutation and Drug Response Qian Gao, Tao Xu, Xiaodi Li, Wanling Gao, Haoyuan Shi, Youhua Zhang, Jie Chen^#, Zhenyu Yue^# IEEE Journal of Biomedical and Health Informatics (JBHI), Vol. 29, No. 2, pp. 1514-1524, 2025.
		Adversarial Learning under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification Jie Chen, Xinyuan Liu, Xintong Liu, Jianqiang Li AAAI Conference on Artificial Intelligence (AAAI), 2025. [CCF A]
		Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides Wanling Gao, Jun Zhao, Jianfeng Gui, Zehan Wang, Jie Chen^#, Zhenyu Yue^# Journal of Chemical Information and Modeling (JCIM), Vol. 64, No. 19, pp. 7772-7785, 2024.
		Hybrid Bayesian Optimization-based Graphical Discovery for Methylation Sites Prediction Lingyan Gu, Tingbo Chen, Jianqiang Li, Yu-An Huang, Zhihua Du, Victor C.M. Leung and Jie Chen^# IEEE Journal of Biomedical and Health Informatics (JBHI), Vol. 28, No. 4, pp. 1917-1926, 2024.
		A Variational AutoEncoder-based Relational Model for Cost-effective Automatic Medical Fraud Detection Jie Chen, Xiaonan Hu, Dongyi Yi, Mamoun Alazab and Jianqiang Li IEEE Transactions on Dependable and Secure Computing (TDSC), Vol. 20, Issue. 4, pp. 3408-3420, 2023. [CCF A]
		On-site Colonoscopy Auto-Diagnosis using Smart Internet of Medical Things Jie Chen, Xiaoxiao Song, Zhichao Huang, Jianqiang Li, Zhaoxia Wang, Chengwen Luo, Fei Yu IEEE Internet of Things Journal (IoTJ), Vol. 9, No. 11, pp. 8657-8668, 2022.
		Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework Jie Chen, Yingru Chen, Jianqiang Li, Jia Wang, Zijie Lin and Asoke K. Nandi IEEE Journal of Biomedical and Health Informatics (JBHI), Vol. 26, No. 1, pp. 411-422, 2022.
		Explainable CNN With Fuzzy Tree Regularization for Respiratory Sound Analysis Jianqiang Li, Cheng Wang, Jie Chen^#, Heng Zhang, Yuyan Dai, Lingwei Wang, Li Wang, Asoke K. Nandi IEEE Transactions on Fuzzy Systems (TFS), Vol. 30, No. 6, pp. 1516-1528, 2022.

Direction 2: Embodied Intelligence & Robotics

Focusing on crack detection, UAV autonomous systems, robot localization, and visual perception.

		Attack-inspired Calibration Loss for Calibrating Crack Recognition Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen^#, Jianqiang Li AAAI Conference on Artificial Intelligence (AAAI), 2025. [CCF A]
		Mind Marginal Non-crack Regions: Clustering-inspired Representation Learning for Crack Segmentation Zhuangzhuang Chen, Zhuonan Lai, Jie Chen^#, Jianqiang Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [CCF A]
		Emergency UAV Landing on Unknown Field Using Depth-Enhanced Graph Structure Jie Chen, Weiming Du, Junmou Lin, Md. Borhan Uddin, Yanning Lin, Bingqing Du, Xing Li, Jianqiang Li IEEE Transactions on Automation Science and Engineering (TASE), 29 April, 2024: Vol. 22, pp. 4434-4445. DOI: 10.1109/TASE.2024.3391017.
		The Devil is in the Crack Orientation: A New Perspective for Crack Detection Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen^#, Jianqiang Li IEEE/CVF International Conference on Computer Vision (ICCV), pp. 6653-6663, 2023. [CCF A]
		Geometry-Aware Guided Loss for Deep Crack Recognition Zhuangzhuang Chen, Jie Chen^#, Jianqiang Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [CCF A]
		Integrated Air-Ground Vehicles for UAV Emergency Landing based on Graph Convolution Network Jie Chen, Yifan Zhang, Jianqiang Li, Weiming Du, Zhuangzhuang Chen, Zun Liu, Huihui Wang and Victor C.M. Leung IEEE Internet of Things Journal (IoTJ), Vol. 9, No. 12, pp. 9106-9116, 2022.
		Multi-task Gaussian Process Classification-based Collaborative Map Fusion Using Air-Ground Robotic System Jianqiang Li, Yanyan Cheng and Jie Chen^# IEEE International Symposium on Autonomous Systems (ISAS), 2020. [Best Paper Award]
		GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim and Etkin Baris Ozgul AAAI Conference on Artificial Intelligence (AAAI), pp. 2585-2592, 2014. [CCF A]
		Multi-Robot Active Sensing of Non-Stationary Gaussian Process-Based Environmental Phenomena Ruofei Ouyang, Kian Hsiang Low, Jie Chen and Patrick Jaillet International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 573-580, 2014. [CCF B类会议]
		Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing Kian Hsiang Low, Jie Chen, John M. Dolan, Steve Chien and David R. Thompson International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 105-112, 2012. [CCF B类会议]

Direction 3: Data-Efficient Learning & Trustworthy Machine Learning

Focusing on distributed/federated learning, active learning, privacy preservation, and Gaussian process models.

		F2GP: Privacy-Preserving Federated & Fast Gaussian Process Models With Support Set Optimization Adil Nawaz, Jianqiang Li, Victor C.M. Leung, Songlei Wang, Jie Chen^# IEEE Transactions on Dependable and Secure Computing (TDSC), 2025. [CCF A]
		Secure Distributed Sparse Gaussian Process Models using Multi-key Homomorphic Encryption Adil Nawaz, Guopeng Chen, Muhammad Umair Raza, Zahid Iqbal, Jianqiang Li, Victor C.M. Leung, Jie Chen^# AAAI Conference on Artificial Intelligence (AAAI), 2024. [CCF A]
		When Active Learning Meets Implicit Semantic Data Augmentation Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen and Jianqiang Li European Conference on Computer Vision (ECCV), pp. 56-72, Oct. 2022. [CCF B类会议, CSRankings]
		Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression Tong Teng, Jie Chen, Yehong Zhang and Kian Hsiang Low AAAI Conference on Artificial Intelligence (AAAI), 2020. [CCF A]
		Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems Jie Chen, Kian Hsiang Low and Patrick Jaillet IEEE Transactions on Automation Science and Engineering (TASE), Vol. 12, Issue. 3, pp. 901-921, 2015. [CCF B]
		Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet AAAI Conference on Artificial Intelligence (AAAI), 2015. [CCF A]
		Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan and Patrick Jaillet Conference on Uncertainty in Artificial Intelligence (UAI), pp. 152-161, 2013. [CCF B类会议]
		Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System Jie Chen, Kian Hsiang Low and Colin Keng-Yan Tan Robotics: Science and Systems (RSS), Berlin, Germany, 2013.
		Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme Conference on Uncertainty in Artificial Intelligence (UAI), 2012. [CCF B类会议]