Zihan Fang - RankMe

93 papers A* 10A 2B 3C 1Journal 71Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity. CoRR Zihan Fang, Qianru Wang, Haonan An, Zheng Lin, Yiqin Deng, Xianhao Chen, Yuguang Fang
2026	J	`jnl`	An interpretable deep unfolding framework for multi-view representation learning. Inf. Fusion Shide Du, Zhenghong Lin, Zihan Fang, Yiqing Shi, Shiping Wang
2026	J	`jnl`	Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework. IEEE Trans. Neural Networks Learn. Syst. Zihan Fang, Shide Du, Ying Zou, Yanchao Tan, Na Song, Shiping Wang
2026	J	`jnl`	Beyond local aggregation: Global graph contrastive learning for multi-view fusion. Neural Networks Xueyang Min, Jiali Yu, Zihan Fang, Weihong Lin, Shiping Wang
2026	J	`jnl`	Conflict-Aware Client Selection for Multi-Server Federated Learning. CoRR Mingwei Hong, Zheng Lin, Zehang Lin, Lin Li, Miao Yang, Xia Du, Zihan Fang, Zhaolu Kang, Dianxin Luan, Shunzhi Zhu
2026	A*	`conf`	DIN: Dual Impulse Network for Multi-view Representation Learning. AAAI Yilin Wu, Weihong Lin, Renjie Lin, Zihan Fang, Shide Du, Shiping Wang
2026	J	`jnl`	Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning. CoRR Jialei Tan, Zheng Lin, Xiangming Cai, Ruoxi Zhu, Zihan Fang, Pingping Chen, Wei Ni
2026	J	`jnl`	HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts. CoRR Zihan Fang, Zheng Lin, Senkang Hu, Yanan Ma, Yihang Tao, Yiqin Deng, Xianhao Chen, Yuguang Fang
2026	J	`jnl`	Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity. IEEE Trans. Multim. Ying Zou, Zihan Fang, Shide Du, Yilin Wu, Hong Zhao, Shiping Wang
2026	J	`jnl`	Investigating the Feasibility of Conducting Webcam-Based Eye-Tracking Studies in Code Comprehension. IEEE Trans. Software Eng. Zihan Fang, Robert Wallace, Zachary Karas, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2026	J	`jnl`	LEO-Split: A Semi-Supervised Split Learning Framework Over LEO Satellite Networks. IEEE Trans. Mob. Comput. Zheng Lin, Yuxin Zhang, Zhe Chen, Zihan Fang, Cong Wu, Xianhao Chen, Yue Gao, Jun Luo
2026	J	`jnl`	NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning. CoRR Zhen Fang, Miao Yang, Zehang Lin, Zheng Lin, Zihan Fang, Zongyuan Zhang, Tianyang Duan, Dong Huang, Shunzhi Zhu
2026	J	`jnl`	Nagisa: A reversible privacy preservation scheme against facial soft-biometric attributes recognition. Pattern Recognit. Zihan Fang, Biao Jin, Zhiqiang Yao, Jinbo Xiong, Xing Wang, Zenghai Lu, Jie Lin
2026	J	`jnl`	Revisiting multi-view semi-supervised classification: a reinforcement learning perspective. Appl. Intell. Zhicheng Wei, Zhiling Cai, Zhibin Shi, Zihan Fang, Mingjian Fu, Shiping Wang
2026	J	`jnl`	SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing. IEEE Trans. Cogn. Commun. Netw. Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Yue Gao
2026	J	`jnl`	SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy. CoRR Zhuosen Bao, Xia Du, Zheng Lin, Jizhe Zhou, Zihan Fang, Jiening Wu, Yuxin Zhang, Zhe Chen, Chi-Man Pun, Wei Ni, Jun Luo
2026	J	`jnl`	SOI-Net: Structural Optimization-Inspired Interpretable Network for Incomplete Multi-View Clustering. IEEE Trans. Multim. Chunming Wu, Zihan Fang, Zhiling Cai, Shide Du, Wei Huang, Jinbo Li, Shiping Wang
2026	J	`jnl`	State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning. IEEE Trans. Mob. Comput. Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui
2026	J	`jnl`	Transformer-Based Multipath Congestion Control: A Decoupled Approach for Wireless Uplinks. CoRR Zongyuan Zhang, Tianyang Duan, Liang Wang, Zihan Fang, Zheng Lin, Yijun Lu, Jiening Wu, Xia Du, Miao Yang, Zhe Chen, Heming Cui, Jun Luo
2026	A*	`conf`	Unifying Multi-View Knowledge for Graph Learning via Model Collaboration. AAAI Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang
2025	—	`conf`	A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing Education. SIGSOFT FSE Companion Zihan Fang, Jiliang Li, Anda Liang, Gina R. Bai, Yu Huang
2025	J	`jnl`	A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity. IEEE Trans. Comput. Soc. Syst. Chunming Wu, Zihan Fang, Shide Du, Shiping Wang
2025	J	`jnl`	AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging. IEEE Trans. Mob. Comput. Senkang Hu, Zhengru Fang, Zihan Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang, Sam Tak-Wu Kwong
2025	J	`jnl`	CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception. CoRR Senkang Hu, Yihang Tao, Zihan Fang, Guowen Xu, Yiqin Deng, Sam Kwong, Yuguang Fang
2025	A*	`conf`	CodeACT-R: A Cognitive Simulation Framework for Human Attention in Code Reading. ASE Yueke Zhang, Zihan Fang, Greg Trafton, Daniel Levin, Kevin Leach, Yu Huang
2025	—	`conf`	Constraint-Aware Multi-View Clustering via Graph Contrastive Learning. ADMA (2) Zhengnan Chen, Chunming Wu, Zihan Fang, Shide Du, Ping Fan, Shiping Wang
2025	J	`jnl`	DPO-F+: Aligning Code Repair Feedback with Developers' Preferences. CoRR Zihan Fang, Yifan Zhang, Yueke Zhang, Kevin Leach, Yu Huang
2025	J	`jnl`	Distribution-Aligned Decoding for Efficient LLM Task Adaptation. CoRR Senkang Hu, Xudong Han, Jinqi Jiang, Yihang Tao, Zihan Fang, Yong Dai, Sam Tak-Wu Kwong, Yuguang Fang
2025	J	`jnl`	Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring. CoRR Zihan Fang, Zheng Lin, Senkang Hu, Yihang Tao, Yiqin Deng, Xianhao Chen, Yuguang Fang
2025	—	`conf`	ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks. WASA (1) Zheng Lin, Yuxin Zhang, Zhe Chen, Zihan Fang, Yanni Yang, Guoming Zhang, Huan Yang, Cong Wu, Xianhao Chen, Yue Gao
2025	A*	`conf`	Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing. ACM Multimedia Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang
2025	J	`jnl`	Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing. CoRR Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang
2025	J	`jnl`	FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks. IEEE Trans. Mob. Comput. Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Xiong Wang, Yue Gao
2025	J	`jnl`	HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models. CoRR Zheng Lin, Yuxin Zhang, Zhe Chen, Zihan Fang, Xianhao Chen, Praneeth Vepakomma, Wei Ni, Jun Luo, Yue Gao
2025	A*	`conf`	HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. IJCAI Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang
2025	J	`jnl`	Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing. CoRR Zekai Sun, Xiuxian Guan, Zheng Lin, Zihan Fang, Xiangming Cai, Zhe Chen, Fangming Liu, Heming Cui, Jie Xiong, Wei Ni, Chau Yuen
2025	J	`jnl`	LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning. CoRR Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Dong Huang, Yuanye Zhao, Zheng Lin, Zihan Fang, Dianxin Luan, Heming Cui, Yong Cui
2025	J	`jnl`	LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks. CoRR Zheng Lin, Yuxin Zhang, Zhe Chen, Zihan Fang, Cong Wu, Xianhao Chen, Yue Gao, Jun Luo
2025	J	`jnl`	LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems. CoRR Tianyang Duan, Zongyuan Zhang, Zheng Lin, Songxiao Guo, Xiuxian Guan, Guangyu Wu, Zihan Fang, Haotian Meng, Xia Du, Ji-Zhe Zhou, Heming Cui, Jun Luo, Yue Gao
2025	A*	`conf`	LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering. ACM Multimedia Shide Du, Chunming Wu, Zihan Fang, Wendi Zhao, Yilin Wu, Changwei Wang, Shiping Wang
2025	J	`jnl`	LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering. CoRR Shide Du, Chunming Wu, Zihan Fang, Wendi Zhao, Yilin Wu, Changwei Wang, Shiping Wang
2025	J	`jnl`	MOAL: Multi-view Out-of-distribution Awareness Learning. Neural Networks Xuzheng Wang, Zihan Fang, Shide Du, Wenzhong Guo, Shiping Wang
2025	B	`conf`	NouMenn: Accurate Reconstructive Privacy Protection for Facial Soft Attributes via Style Code. IJCNN Zihan Fang, Biao Jin, Changyang Zhang
2025	A*	`conf`	OpenViewer: Openness-Aware Multi-View Learning. AAAI Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo
2025	J	`jnl`	Optimization-oriented multi-view representation learning in implicit bi-topological spaces. Inf. Sci. Shiyang Lan, Shide Du, Zihan Fang, Zhiling Cai, Wei Huang, Shiping Wang
2025	J	`jnl`	Order-flexible graph attention network for multi-view subspace clustering. Knowl. Based Syst. Gangshuo Bao, Yongquan Shi, Yueyang Pi, Zihan Fang, Jinbo Li, Shiping Wang
2025	J	`jnl`	RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing. CoRR Zekai Sun, Xiuxian Guan, Zheng Lin, Yuhao Qing, Haoze Song, Zihan Fang, Zhe Chen, Fangming Liu, Heming Cui, Wei Ni, Jun Luo
2025	A	`conf`	Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks. IROS Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui, Yue Gao
2025	J	`jnl`	Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks. CoRR Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui, Yue Gao
2025	J	`jnl`	SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers. CoRR Hangcheng Cao, Baixiang Huang, Longzhi Yuan, Haonan An, Zihan Fang, Xianhao Chen, Yuguang Fang
2025	J	`jnl`	SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression. CoRR Zehang Lin, Zheng Lin, Miao Yang, Jianhao Huang, Yuxin Zhang, Zihan Fang, Xia Du, Zhe Chen, Shunzhi Zhu, Wei Ni
2025	J	`jnl`	Sample Efficient Experience Replay in Non-stationary Environments. CoRR Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Yuanye Zhao, Zheng Lin, Zihan Fang, Yi Liu, Dianxin Luan, Dong Huang, Heming Cui, Yong Cui
2025	J	`jnl`	Scalable multi-modal representation learning networks. Artif. Intell. Rev. Zihan Fang, Ying Zou, Shiyang Lan, Shide Du, Yanchao Tan, Shiping Wang
2025	J	`jnl`	State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning. CoRR Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui
2025	A*	`conf`	Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations. IJCAI Shuman Zhuang, Zhihao Wu, Yuhong Chen, Zihan Fang, Jiali Yin, Ximeng Liu
2025	J	`jnl`	Sums: Sniffing Unknown Multiband Signals Under Low Sampling Rates. IEEE Trans. Mob. Comput. Jinbo Peng, Zhe Chen, Zheng Lin, Haoxuan Yuan, Zihan Fang, Lingzhong Bao, Zihang Song, Ying Li, Jing Ren, Yue Gao
2025	B	`conf`	Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge. GLOBECOM Senkang Hu, Yanan Ma, Yihang Tao, Zhengru Fang, Zihan Fang, Yiqin Deng, Sam Tak-Wu Kwong, Yuguang Fang
2025	J	`jnl`	Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge. CoRR Senkang Hu, Yanan Ma, Yihang Tao, Zhengru Fang, Zihan Fang, Yiqin Deng, Sam Kwong, Yuguang Fang
2025	B	`conf`	Two Heads are Better than One: Robust Learning Meets Multi-branch Models. ICPADS Zongyuan Zhang, Qingwen Bu, Tianyang Duan, Zheng Lin, Yuhao Qing, Zihan Fang, Heming Cui, Dong Huang
2024	J	`jnl`	"Math is a pain!": Understanding challenges and needs of the Machine Learning community on Stack Overflow. Proc. ACM Hum. Comput. Interact. Zihan Fang, Yu Huang
2024	C	`conf`	A Multi-Angle Imaging Method Base on Improved Range Migration Algorithm for Airborne MIMO-SAR. IGARSS Fang Zhou, Guoqing Shen, Zihan Fang
2024	J	`jnl`	AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning. CoRR Senkang Hu, Zhengru Fang, Zihan Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang
2024	J	`jnl`	AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging. CoRR Senkang Hu, Zhengru Fang, Zihan Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang, Sam Kwong
2024	J	`jnl`	Attention-based stackable graph convolutional network for multi-view learning. Neural Networks Zhiyong Xu, Weibin Chen, Ying Zou, Zihan Fang, Shiping Wang
2024	J	`jnl`	Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR Zihan Fang, Zheng Lin, Zhe Chen, Xianhao Chen, Yue Gao, Yuguang Fang
2024	A*	`conf`	Beyond the Known: Ambiguity-Aware Multi-view Learning. ACM Multimedia Zihan Fang, Shide Du, Yuhong Chen, Shiping Wang
2024	J	`jnl`	Constructing Soil-Landscape Units Based on Slope Position and Land Use to Improve Soil Prediction Accuracy. Remote. Sens. Changda Zhu, Fubin Zhu, Cheng Li, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan
2024	J	`jnl`	Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map. Remote. Sens. Changda Zhu, Fubin Zhu, Cheng Li, Yunxin Yan, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan
2024	J	`jnl`	IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers. CoRR Zihan Fang, Zheng Lin, Senkang Hu, Hangcheng Cao, Yiqin Deng, Xianhao Chen, Yuguang Fang
2024	J	`jnl`	IMPRL-Net: interpretable multi-view proximity representation learning network. Neural Comput. Appl. Shiyang Lan, Zihan Fang, Shide Du, Zhiling Cai, Shiping Wang
2024	J	`jnl`	Multi-view heterogeneous graph learning with compressed hypergraph neural networks. Neural Networks Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang
2024	J	`jnl`	OpenViewer: Openness-Aware Multi-View Learning. CoRR Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo
2024	J	`jnl`	Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. IEEE Trans. Multim. Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang
2024	J	`jnl`	Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network. Neural Networks Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang
2024	J	`jnl`	SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing. CoRR Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Yue Gao
2024	J	`jnl`	SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework. CoRR Yuxin Zhang, Zheng Lin, Zhe Chen, Zihan Fang, Wenjun Zhu, Xianhao Chen, Jin Zhao, Yue Gao
2024	J	`jnl`	Self-Supervised Multi-Modal Learning for Collaborative Robotic Grasp-Throw. IEEE Robotics Autom. Lett. Yanxu Hou, Zihan Fang, Jun Li
2024	J	`jnl`	Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL). Remote. Sens. Fubin Zhu, Changda Zhu, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan
2024	J	`jnl`	SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models. CoRR Zheng Lin, Xuanjie Hu, Yuxin Zhang, Zhe Chen, Zihan Fang, Xianhao Chen, Ang Li, Praneeth Vepakomma, Yue Gao
2024	J	`jnl`	Sums: Sniffing Unknown Multiband Signals under Low Sampling Rates. CoRR Jinbo Peng, Zhe Chen, Zheng Lin, Haoxuan Yuan, Zihan Fang, Lingzhong Bao, Zihang Song, Ying Li, Jing Ren, Yue Gao
2023	—	`conf`	A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention. ESEC/SIGSOFT FSE Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang
2023	A*	`conf`	Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. ACM Multimedia Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
2023	J	`jnl`	Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. CoRR Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
2023	J	`jnl`	DBO-Net: Differentiable bi-level optimization network for multi-view clustering. Inf. Sci. Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi
2023	A	`conf`	DMRL-Net: Differentiable Multi-view Representation Learning Network. ICME Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang
2023	J	`jnl`	FedSN: A General Federated Learning Framework over LEO Satellite Networks. CoRR Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Xiong Wang, Yue Gao
2023	—	`conf`	Graph Learning for Multi-Satellite based Spectrum Sensing. ICCT Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Xiong Wang, Yue Gao
2022	J	`jnl`	Contrastive Consensus Graph Learning for Multi-View Clustering. IEEE CAA J. Autom. Sinica Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao
2022	J	`jnl`	Delay Compensated One-Way Time Synchronization in Distributed Wireless Sensor Networks. IEEE Wirel. Commun. Lett. Zihan Fang, Yue Gao
2022	J	`jnl`	Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging. Sensors Changda Zhu, Yuchen Wei, Fubin Zhu, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan
2022	J	`jnl`	Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City. Sensors Zihan Fang, Wenhao Lu, Fubin Zhu, Changda Zhu, Zhaofu Li, Jianjun Pan
2020	—	`conf`	An Initialization Method of Deep Q-network for Learning Acceleration of Robotic Grasp. ICNSC Yanxu Hou, Jun Li, Zihan Fang, Xuechao Zhang
2020	J	`jnl`	Focus on the Visible Regions: Semantic-Guided Alignment Model for Occluded Person Re-Identification. Sensors Qin Yang, Peizhi Wang, Zihan Fang, Qiyong Lu