An improvement SSL protocol application research. - Zhenzhong Wang; Yao Wang (EMEIT, 2011)

A biological plausible Generalized Leaky Integrate-and-Fire neuron model. - Zhenzhong Wang; Lilin Guo; Malek Adjouadi (EMBC, 2014)

A generalized leaky Integrate-and-Fire Neuron Model with Fast Implementation Method. - Zhenzhong Wang; Lilin Guo; Malek Adjouadi (Int. J. Neural Syst., 2014)

Quantitative modeling of dose-response and drug combination based on pathway network. - Jiangyong Gu; Xinzhuang Zhang; Yimin Ma; Na Li; Fang Luo; Liang Cao; Zhenzhong Wang; Gu Yuan; Lirong Chen; Wei Xiao; Xiaojie Xu (J. Cheminformatics, 2015)

A supervised learning rule for classification of spatiotemporal spike patterns. - Lilin Guo; Zhenzhong Wang; Malek Adjouadi (EMBC, 2016)

Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection. - Lilin Guo; Zhenzhong Wang; Mercedes Cabrerizo; Malek Adjouadi (EMBC, 2016)

Layout optimization for multi-bi-modulus materials system under multiple load cases. - Jiao Shi; Jing Cao; Kun Cai; Zhenzhong Wang; Qing-Hua Qin (Eng. Comput., 2016)

Wavelet decomposition and phase encoding of temporal signals using spiking neurons. - Zhenzhong Wang; Lilin Guo; Malek Adjouadi (Neurocomputing, 2016)

Weak-binding molecules are not drugs? - toward a systematic strategy for finding effective weak-binding drugs. - Jinan Wang; Zihu Guo; Yingxue Fu 002; Ziyin Wu; Chao Huang 030; Chunli Zheng; Piar Ali Shar; Zhenzhong Wang; Wei Xiao; Yonghua Wang (Briefings Bioinform., 2017)

A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy. - Lilin Guo; Zhenzhong Wang; Mercedes Cabrerizo; Malek Adjouadi (Int. J. Neural Syst., 2017)

Dengue virus causes changes of MicroRNA-genes regulatory network revealing potential targets for antiviral drugs. - Mohamed Shahen; Zihu Guo; Akhtar Hussain Shar; Reham Ebaid; Qin Tao; Wenjuan Zhang; Ziyin Wu; Yaofei Bai; Yingxue Fu 002; Chunli Zheng; He Wang; Piar Ali Shar; et al. (BMC Syst. Biol., 2018)

Correction to: dengue virus causes changes of MicroRNA-genes regulatory network revealing potential targets for antiviral drugs. - Mohamed Shahen; Zihu Guo; Akhtar Hussain Shar; Reham Ebaid; Qin Tao; Wenjuan Zhang; Ziyin Wu; Yaofei Bai; Yingxue Fu 002; Chunli Zheng; He Wang; Piar Ali Shar; et al. (BMC Syst. Biol., 2018)

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning. - Zhenzhong Wang; Min Jiang 005; Xing Gao 004; Liang Feng 001; Weizhen Hu; Kay Chen Tan (SSCI, 2019)

Knee Points based Transfer Dynamic Multi-objective optimization Evolutionary Algorithm. - Zhenzhong Wang; Zhongrui Mei; Min Jiang 005; Gary G. Yen (CEC, 2020)

Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. - Zhenyao Zhao; Min Jiang 005; Shihui Guo; Zhenzhong Wang; Fei Chao 001; Kay Chen Tan (CEC, 2020)

On the Convergence Rate of Federated Learning over Unreliable Networks. - Chenyuan Feng; Howard H. Yang; Zihan Chen 001; Daquan Feng; Zhenzhong Wang; Tony Q. S. Quek (ComComAP, 2021)

Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. - Zhenzhong Wang; Haokai Hong; Kai Ye 005; Min Jiang 005; Kay Chen Tan (CoRR, 2021)

NOGEA: A Network-oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning. - Zihu Guo; Yingxue Fu 002; Chao Huang 030; Chunli Zheng; Ziyin Wu; Xuetong Chen; Shuo Gao 004; Yaohua Ma; Mohamed Shahen; Yan Li 025; Pengfei Tu; Jingbo Zhu; et al. (Genom. Proteom. Bioinform., 2021)

Individual-Based Transfer Learning for Dynamic Multiobjective Optimization. - Min Jiang 005; Zhenzhong Wang; Shihui Guo; Xing Gao 004; Kay Chen Tan (IEEE Trans. Cybern., 2021)

A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning. - Min Jiang 005; Zhenzhong Wang; Liming Qiu; Shihui Guo; Xing Gao 004; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization. - Min Jiang 005; Zhenzhong Wang; Haokai Hong; Gary G. Yen (IEEE Trans. Evol. Comput., 2021)

Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System. - Yinghao Chu; Daquan Feng; Zuozhu Liu; Zizhou Zhao; Zhenzhong Wang; Xiang-Gen Xia 001; Tony Q. S. Quek (IEEE Internet Things J., 2022)

Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization. - Zhenzhong Wang; Kai Ye 005; Min Jiang 005; Junfeng Yao; Neal N. Xiong; Gary G. Yen (Swarm Evol. Comput., 2022)

Proactive Content Caching Based on Actor-Critic Reinforcement Learning for Mobile Edge Networks. - Wei Jiang 020; Daquan Feng; Yao Sun 002; Gang Feng 004; Zhenzhong Wang; Xiang-Gen Xia 001 (IEEE Trans. Cogn. Commun. Netw., 2022)

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. - Zhenzhong Wang; Lulu Cao; Wanyu Lin; Min Jiang 005; Kay Chen Tan (AAAI, 2023)

EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems. - Daquan Feng; Guanxin Huang; Chenyuan Feng; Bin Cao 002; Zhenzhong Wang; Xiang-Gen Xia 001 (WCNC, 2023)

Review on robot-assisted polishing: Status and future trends. - Xiaolong Ke; Yongheng Yu; Kangsen Li; Tianyi Wang; Bo Zhong; Zhenzhong Wang; Lingbao Kong; Jiang Guo; Lei Huang 003; Mourad Idir; Chao Liu 031; Chunjin Wang (Robotics Comput. Integr. Manuf., 2023)

Joint Computation Offloading and Resource Allocation for D2D-Assisted Mobile Edge Computing. - Wei Jiang 020; Daquan Feng; Yao Sun 002; Gang Feng 004; Zhenzhong Wang; Xiang-Gen Xia 001 (IEEE Trans. Serv. Comput., 2023)

A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance. - Yinghao Chu; Daquan Feng; Zuozhu Liu; Lei Zhang 035; Zizhou Zhao; Zhenzhong Wang; Zhiyong Feng 001; Xiang-Gen Xia 001 (IEEE Internet Things J., 2023)

Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. - Zhenzhong Wang; Haokai Hong; Kai Ye 005; Guang-En Zhang; Min Jiang 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. - Lulu Cao; Yufei Liu 003; Zhenzhong Wang; Dejun Xu; Kai Ye 005; Kay Chen Tan; Min Jiang 005 (AAAI, 2024)

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. - Zhenzhong Wang; Qingyuan Zeng; Wanyu Lin; Min Jiang 005; Kay Chen Tan (AAAI, 2024)

Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. - Qingyuan Zeng; Zhenzhong Wang; Yiu-ming Cheung; Min Jiang 005 (NeurIPS, 2024)

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. - Zhenzhong Wang; Qingyuan Zeng; Wanyu Lin; Min Jiang 005; Kay Chen Tan (CoRR, 2024)

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. - Zhenzhong Wang; Zehui Lin; Wanyu Lin; Ming Yang; Minggang Zeng; Kay Chen Tan (CoRR, 2024)

Crystalline Material Discovery in the Era of Artificial Intelligence. - Zhenzhong Wang; Haowei Hua; Wanyu Lin; Ming Yang; Kay Chen Tan (CoRR, 2024)

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. - Qingyuan Zeng; Zhenzhong Wang; Yiu-ming Cheung; Min Jiang 005 (CoRR, 2024)

Adversarial Learning for Neural PDE Solvers with Sparse Data. - Yunpeng Gong; Yongjie Hou; Zhenzhong Wang; Zexin Lin; Min Jiang 005 (CoRR, 2024)

Phy124: Fast Physics-Driven 4D Content Generation from a Single Image. - Jiajing Lin; Zhenzhong Wang; Yongjie Hou; Yuzhou Tang; Min Jiang 005 (CoRR, 2024)

Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization. - Yunpeng Gong; Qingyuan Zeng; Dejun Xu; Zhenzhong Wang; Min Jiang 005 (CoRR, 2024)

NexusSplats: Efficient 3D Gaussian Splatting in the Wild. - Yuzhou Tang; Dejun Xu; Yongjie Hou; Zhenzhong Wang; Min Jiang 005 (CoRR, 2024)

Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image. - Jiajing Lin; Zhenzhong Wang; Shu Jiang; Yongjie Hou; Min Jiang 005 (CoRR, 2024)

Research on the modification of the tool influence function for robotic bonnet polishing with stiffness modeling. - Xuepeng Huang; Zhenzhong Wang; Lucheng Li; Qi Luo (Robotics Comput. Integr. Manuf., 2024)

Remote sensing image cloud removal based on multi-scale spatial information perception. - Aozhe Dou; Yang Hao; Weifeng Liu 001; Liangliang Li; Zhenzhong Wang; Baodi Liu (Multim. Syst., 2024)

Decoding herbal combination models through systematic strategies: insights from target information and traditional Chinese medicine clinical theory. - Mingjuan Wang; Xuetong Chen; Mingxing Liu; Huiying Luo; Shuangshuang Zhang; Jie Guo; Jinghui Wang; Li Zhou; Na Zhang; Hongyan Li; Chao Wang; Liang Li; et al. (Briefings Bioinform., 2025)

A high-efficiency lettuce quality detection system based on FPGA. - Zhenzhong Wang; Tongge Li; Rong Du; Ning Yang; Jianfeng Ping (Comput. Electron. Agric., 2025)

Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy. - Zhenzhong Wang; Lulu Cao; Liang Feng 001; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning. - Chenyuan Feng; Daquan Feng; Guanxin Huang; Zuozhu Liu; Zhenzhong Wang; Xiang-Gen Xia 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data. - Zhenzhong Wang; Qingyuan Zeng; Wanyu Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. - Qingyuan Zeng; Shu Jiang; Jiajing Lin; Zhenzhong Wang; Kay Chen Tan; Min Jiang 005 (CoRR, 2025)

VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization. - Jiajing Lin; Shu Jiang; Qingyuan Zeng; Zhenzhong Wang; Min Jiang 005 (CoRR, 2025)