A Fault-Tolerant Scheme for Complex Transaction Patterns in J2EE. - Lin Zuo; Shaohua Liu 002; Jun Wei 001 (EDOC, 2006)

Combining Replication with Transaction Processing for Enhanced Reliability in J2EE. - Lin Zuo; Shaohua Liu 002; Jun Wei 001 (ISSRE, 2006)

Effective content organization and retrieval within point-to-multipoint channels towards mobile grid IPTV. - Shaohua Liu 002; Junsheng Yu; Yinglong Ma 001; Lin Zuo; Qiang Liu; Peng Gao (GridNets, 2007)

Sequential Pattern-Based Cache Replacement in Servlet Container. - Yang Li; Lin Zuo; Jun Wei 001; Hua Zhong 001; Tao Huang 001 (ICWE, 2007)

A Novel Cooperative Computing Model for Grid. - Shaohua Liu 002; Junsheng Yu; Yinglong Ma 001; Lin Zuo; Qiang Liu; Ran Ding (SKG, 2007)

Collision-safe wavelength assignment scheme for lightpath establishment in WSONs. - Lianxing Hou; Lin Zuo; Pei Luo; Dong Liu (CCIS, 2011)

Improved SVM Method Applied to the Online User Behavior Analysis. - Lin Zuo (CIT, 2012)

Chaos control with STM of minor component analysis learning algorithm. - Lin Zuo; Bin Zhou (EURASIP J. Wirel. Commun. Netw., 2012)

Convergence and Chaos of a Class of Discrete-Time Background Neural Networks with Uniform Firing Rate. - Min Wan; Lin Zuo; Yan Li; Jinrong Hu; Qian Luo (DASC, 2013)

An Improved Obstacle Avoidance Method for Robot Based on Constraint of Obstacle Boundary Condition. - Haitian Xie; Jiawei Gao 002; Lin Zuo; Chang-Hua Zhang; Luan Chen (CRC, 2017)

Efficient Combinations of Rejection Strategies for Dense Point Clouds Registration. - Shaoan Zhao; Lin Zuo; Chang-Hua Zhang; Yu Liu 006 (ICIRA (2), 2017)

A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks. - Lin Zuo; Shan Chen; Hong Qu; Malu Zhang (ICONIP (3), 2017)

A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network. - Lin Zuo; Linyao Ma; Yanqing Xiao; Malu Zhang; Hong Qu (ICONIP (3), 2017)

Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints. - Liwei Huang; Hong Qu; Lin Zuo (IEEE Access, 2018)

Residual Graph Convolutional Networks for Zero-Shot Learning. - Jiwei Wei; Yang Yang 002; Jingjing Li 001; Lei Zhu 002; Lin Zuo; Heng Tao Shen (MMAsia, 2019)

An Intelligent Knowledge Extraction Framework for Recognizing Identification Information From Real-World ID Card Images. - Lin Zuo; Wenyu Chen 001; Hong Qu; Li Huang 002; Zheng Wang 044; Yong Chen (IEEE Access, 2019)

Reliability assessment of systems subject to interval-valued probabilistic common cause failure by evidential networks. - Lin Zuo; Tangfan Xiahou; Yu Liu 006 (J. Intell. Fuzzy Syst., 2019)

Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. - Wei Hu; Ben Alexander; Wendell Cathcart; Atsushi Hu; Varun Nair; Lin Zuo; Jordan M. Malof; Leslie M. Collins; Kyle Bradbury (IGARSS, 2020)

Mobile parking incentives for vehicular networks: a deep reinforcement learning approach. - Meiyi Yang; Nianbo Liu; Lin Zuo; Haigang Gong; Minghui Liu; Ming Liu 002 (CCF Trans. Pervasive Comput. Interact., 2020)

CovidNet: To Bring the Data Transparency in Era of COVID-19. - Tong Yang; Kai Shen; Sixuan He; Enyu Li; Peter Sun; Lin Zuo; Jiayue Hu; Yiwen Mo; Weiwei Zhang; Pingying Chen; Haonan Zhang; Jingxue Chen; et al. (CoRR, 2020)

A spiking neural network with probability information transmission. - Lin Zuo; Yi Chen; Lei Zhang; Changle Chen (Neurocomputing, 2020)

A robust approach to reading recognition of pointer meters based on improved mask-RCNN. - Lin Zuo; Peilin He; Chang-Hua Zhang; Zhehan Zhang (Neurocomputing, 2020)

Leveraging unpaired out-of-domain data for image captioning. - Xinghan Chen; Mingxing Zhang; Zheng Wang 044; Lin Zuo; Bo Li 072; Yang Yang 002 (Pattern Recognit. Lett., 2020)

Cross-Modal Attention With Semantic Consistence for Image-Text Matching. - Xing Xu 001; Tan Wang; Yang Yang 002; Lin Zuo; Fumin Shen; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering. - Zheng Wang 044; Lin Zuo; Jing Ma 004; Si Chen; Jingjing Li 001; Zhao Kang 001; Lei Zhang (World Wide Web, 2020)

CMRD-Net: An Improved Method for Underwater Image Enhancement. - Fengjie Xu; Chang-Hua Zhang; Zhongshu Chen; Zhekai Du; Lei Han; Lin Zuo (MMAsia, 2021)

Dynamic Charging Scheme Problem With Actor-Critic Reinforcement Learning. - Meiyi Yang; Nianbo Liu; Lin Zuo; Yong Feng 004; Minghui Liu; Haigang Gong; Ming Liu 002 (IEEE Internet Things J., 2021)

Challenging tough samples in unsupervised domain adaptation. - Lin Zuo; Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002 (Pattern Recognit., 2021)

Building Height Restoration Method of Remote Sensing Images based on Faster RCNN. - Biao Li; Xucan Chen; Lin Zuo (ICTAI, 2022)

Energy-Based Domain Generalization for Face Anti-Spoofing. - Zhekai Du; Jingjing Li 001; Lin Zuo; Lei Zhu 002; Ke Lu 001 (ACM Multimedia, 2022)

Mutual Attention Feature Alignment In Cross-domain Detection. - Jian Hu; Zhongshu Chen; Maolin Luo; Jiahang Li; Xianlong Tian; Lin Zuo (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A multi-layer spiking neural network-based approach to bearing fault diagnosis. - Lin Zuo; Fengjie Xu; Chang-Hua Zhang; Tangfan Xiahou; Yu Liu 006 (Reliab. Eng. Syst. Saf., 2022)

An Adaptive Deep Learning Framework for Fast Recognition of Integrated Circuit Markings. - Zhongshu Chen; Changhua Zhang; Lin Zuo; Tangfan Xiahou; Yu Liu 006 (IEEE Trans. Ind. Informatics, 2022)

Domain Adaptive Remaining Useful Life Prediction With Transformer. - Xinyao Li; Jingjing Li 001; Lin Zuo; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Instrum. Meas., 2022)

Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. - Kangkai Wu; Jingjing Li 001; Lin Zuo; Ke Lu 001; Heng Tao Shen (IEEE Trans. Instrum. Meas., 2022)

Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation. - Cong Zhang; Dongyang Liu; Lin Zuo; Junlan Feng; Chao Deng 004; Jian Sun; Haitao Zeng; Yaohong Zhao (CIKM, 2023)

AAKD-Net: Attention-Based Adversarial Knowledge Distillation Network for Image Classification. - Fukang Zheng; Lin Zuo; Feng Guo; Wenwei Luo; Yuguo Hu (ICONIP (7), 2023)

An improved probabilistic spiking neural network with enhanced discriminative ability. - Yongqi Ding; Lin Zuo; Kunshan Yang; Zhongshu Chen; Jian Hu; Tangfan Xiahou (Knowl. Based Syst., 2023)

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Yongjun Xiao (AAAI, 2024)

Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection. - Yanning Ye; Shimin Luo; Mengmeng Jing; Yongqi Ding; Kunbin He; Lin Zuo (ICIC (3), 2024)

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Yongjun Xiao (CoRR, 2024)

Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks. - Lin Zuo; Yongqi Ding; Mengmeng Jing; Kunshan Yang; Yunqian Yu (CoRR, 2024)

Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks. - Yongjun Xiao; Xianlong Tian; Yongqi Ding; Pei He; Mengmeng Jing; Lin Zuo (CoRR, 2024)

Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation. - Lin Zuo; Yongqi Ding; Wenwei Luo; Mengmeng Jing; Xianlong Tian; Kunshan Yang (CoRR, 2024)

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Kunshan Yang; Biao Chen; Yunqian Yu (CoRR, 2024)

Pre-DNNOff: On-Demand DNN Model Offloading Method for Mobile Edge Computing. - Lin Zuo (Scalable Comput. Pract. Exp., 2024)

Weakly Supervised End-to-End Learning for Inspection on Multidirectional Integrated Circuit Markings in Surface Mount Technology. - Zhongshu Chen; Lin Zuo; Feng Guo; Changhua Zhang; Yu Liu 006 (IEEE Trans. Ind. Informatics, 2024)

An End-to-End Bilateral Network for Multidefect Detection of Solid Propellants. - Feng Guo; Zhongshu Chen; Jian Hu; Lin Zuo; Tangfan Xiahou; Yu Liu 006 (IEEE Trans. Ind. Informatics, 2024)

Prelude echoes Finale: Video Domain Adaptation with Fine-grained Temporal Consistency. - Shuxian Wang; Mengmeng Jing; Xianlong Tian; Yuguo Hu; Lin Zuo (ICASSP, 2025)

Learning Latent Representations with Codebook Priors for Single-Image Flare Removal. - Shimin Luo; Yunya Zhang; Yuchen Wang; Hanpu Deng; Mengmeng Jing; Lin Zuo (ICIC (3), 2025)

Multi-bit Mechanism: Towards Ultra-Low Time Steps for Spiking Neural Networks. - Yongjun Xiao; Pei He; Hanpu Deng; Tonglan Xie; Mengmeng Jing; Lin Zuo (ICIC (21), 2025)

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Hanpu Deng (ICLR, 2025)

Adaptive recognition of flexible objects via hierarchical deformable graph network. - Kunshan Yang; Lin Zuo; Mengmeng Jing; Yongqi Ding; Haoran Peng; Xianlong Tian (Inf. Sci., 2025)

DviT: Debiased variational inference for multi-modal mutual prompt tuning. - Feng Guo; Biao Chen; Zhongshu Chen; Zhikun Zheng; Lin Zuo; Wen Li (Knowl. Based Syst., 2025)

SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation. - Zixi Wang; Yubo Huang; Wenwei Luo; Tonglan Xie; Mengmeng Jing; Lin Zuo (CoRR, 2025)

ICMarkingNet: An Ultrafast and Streamlined Deep Model for IC Marking Inspection. - Zhongshu Chen; Feng Guo; Lin Zuo; Yu Liu 006 (IEEE Trans. Ind. Informatics, 2025)

A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition. - Kunshan Yang; Wenwei Luo; Yuguo Hu; Jiafu Yan; Mengmeng Jing; Lin Zuo (CoRR, 2025)

Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. - Kunshan Yang; Lin Zuo; Mengmeng Jing; Xianlong Tian; Kunbin He; Yongqi Ding (IEEE Trans. Circuits Syst. Video Technol., 2025)

PA-HOI: A Physics-Aware Human and Object Interaction Dataset. - Ruiyan Wang; Lin Zuo; Zonghao Lin; Qiang Wang; Zhengxue Cheng; Rong Xie; Jun Ling; Li Song (CoRR, 2025)