A Novel Model of Working Set Selection for SMO Decomposition Methods. - Zhendong Zhao; Lei Yuan; Yuxuan Wang; Forrest Sheng Bao; Shun-Yi Zhang; Yan-Fei Sun (ICTAI (2), 2007)

A Novel Model of Working Set Selection for SMO Decomposition Methods - Zhendong Zhao; Lei Yuan; Yuxuan Wang; Forrest Sheng Bao; Shunyi Zhang Yanfei Sun (CoRR, 2007)

SaVE: sensor-assisted motion estimation for efficient h.264/AVC video encoding. - Xiaoming Chen 006; Zhendong Zhao; Ahmad Rahmati; Ye Wang 007; Lin Zhong 001 (ACM Multimedia, 2009)

A comparison of a graph database and a relational database: a data provenance perspective. - Chad Vicknair; Michael Macias; Zhendong Zhao; Xiaofei Nan; Yixin Chen 002; Dawn Wilkins (ACM Southeast Regional Conference, 2010)

Large-scale music tag recommendation with explicit multiple attributes. - Zhendong Zhao; Xinxi Wang; Qiaoliang Xiang; Andy M. Sarroff; Zhonghua Li; Ye Wang 007 (ACM Multimedia, 2010)

Sensor-Assisted Video Encoding for Mobile Devices in Real-World Environments. - Xiaoming Chen 006; Zhendong Zhao; Ahmad Rahmati; Ye Wang 007; Lin Zhong 001 (IEEE Trans. Circuits Syst. Video Technol., 2011)

A Split-Merge Framework for Comparing Clusterings. - Qiaoliang Xiang; Qi Mao 001; Kian Ming Adam Chai; Hai Leong Chieu; Ivor W. Tsang; Zhendong Zhao (ICML, 2012)

Drug activity prediction using multiple-instance learning via joint instance and feature selection. - Zhendong Zhao; Gang Fu; Sheng Liu; Khaled M. Elokely; Robert J. Doerksen; Yixin Chen 002; Dawn Wilkins (BMC Bioinform., 2013)

A Computationally Efficient Algorithm for Learning Topical Collocation Models. - Zhendong Zhao; Lan Du 002; Benjamin Börschinger; John K. Pate; Massimiliano Ciaramita; Mark Steedman; Mark Johnson 001 (ACL (1), 2015)

A generative Bayesian model to identify cancer driver genes. - Christopher Ma; Zhendong Zhao; Tina Gui; Yixin Chen 002; Xin Dang; Dawn Wilkins (BIBM, 2015)

The Research on Charge and Discharge Characteristics with Single Li-NiCoMn Lithium-Ion Battery. - Sujuan Chen; Zhendong Zhao; Xinyan Gu (ITITS, 2018)

Optimal Bayesian maintenance policy for a gearbox subject to two dependent failure modes. - Xin Li 136; Viliam Makis; Zhendong Zhao; Hongfu Zuo; Chaoqun Duan; Yuanyuan Zhang (Qual. Reliab. Eng. Int., 2019)

A Novel Privacy-Preserving Neural Network Computing Approach for E-Health Information System. - Yingying Yao; Zhendong Zhao; Xiaolin Chang; Jelena V. Misic; Vojislav B. Misic; Jianhua Wang 004 (ICC, 2021)

Robust node embedding against graph structural perturbations. - Zhendong Zhao; Xiaojun Chen 004; Dakui Wang; Yuexin Xuan; Gang Xiong (Inf. Sci., 2021)

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. - Zhendong Zhao; Xiaojun Chen 004; Yuexin Xuan; Ye Dong; Dakui Wang; Kaitai Liang (CVPR, 2022)

KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks. - Bisheng Tang; Xiaojun Chen 004; Dakui Wang; Zhendong Zhao (IJCNN, 2022)

Rethinking the Feature Iteration Process of Graph Convolution Networks. - Bisheng Tang; Xiaojun Chen 004; Dakui Wang; Zhendong Zhao (IJCNN, 2022)

ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning. - Yuexin Xuan; Xiaojun Chen 004; Zhendong Zhao; Yangyang Ding; Jianming Lv (IJCNN, 2022)

KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive Learning. - Yingtao Peng; Zhendong Zhao; Aishan Maoliniyazi; Xiaofeng Meng 001 (DASFAA (2), 2023)

Unsupervised Graph Structure-Assisted Personalized Federated Learning. - Xiaoying Li; Xiaojun Chen 004; Bisheng Tang; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ECAI, 2023)

Design and Implementation of a Digital Campus on a Private Cloud Platform. - Jingfeng Liu; Zhendong Zhao (ICBAR, 2023)

Practical and General Backdoor Attacks Against Vertical Federated Learning. - Yuexin Xuan; Xiaojun Chen 004; Zhendong Zhao; Bisheng Tang; Ye Dong (ECML/PKDD (2), 2023)

Estimation of Hip Joint Torque By Using Parallel Fusion Neural Dynamics Model. - Lei Liu; Jiaxin Wang; Qian Xiang; Zhendong Zhao; Yong Liu; Shijie Guo (ROBIO, 2023)

Gait Phase Recognition for Soft Exoskeleton Assistance Based on Inertial Sensors. - Yong Liu; Jiaxin Wang; Zhendong Zhao; Lei Liu; Huanyu Deng; Shijie Guo (ROBIO, 2023)

Generalized heterophily graph data augmentation for node classification. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (Neural Networks, 2023)

KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learning. - Yingtao Peng; Tangpeng Dan; Zhendong Zhao; Aishan Maoliniyazi; Xiaofeng Meng 001 (APWeb/WAIM (2), 2024)

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling. - Xin Zhao; Xiaojun Chen 004; Xudong Chen; He Li 010; Tingyu Fan; Zhendong Zhao (ECCV (71), 2024)

DualCOS: Query-Efficient Data-Free Model Stealing with Dual Clone Networks and Optimal Samples. - Yunfei Yang 001; Xiaojun Chen 004; Yuexin Xuan; Zhendong Zhao (ICME, 2024)

Progtuning: Progressive Fine-Tuning Framework for Transformer-Based Language Models. - Xiaoshuang Ji; Zhendong Zhao; Xiaojun Chen; Xin Zhao; Zeyao Liu (ICONIP (9), 2024)

Graph Federated Learning with Center Moment Constraints for Node Classification. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ICPP Workshops, 2024)

STMS: An Out-Of-Distribution Model Stealing Method Based on Causality. - Yunfei Yang 001; Xiaojun Chen 004; Zhendong Zhao; Yuexin Xuan; Bisheng Tang; Xiaoying Li (IJCNN, 2024)

Federated Learning with Limited Node Labels. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (CoRR, 2024)

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling. - Xin Zhao; Xiaojun Chen; Xudong Chen; He Li; Tingyu Fan; Zhendong Zhao (CoRR, 2024)

Buster: Incorporating Backdoor Attacks into Text Encoder to Mitigate NSFW Content Generation. - Xin Zhao; Xiaojun Chen 004; Yuexin Xuan; Zhendong Zhao (CoRR, 2024)

Research on Signal Noise Reduction and Leakage Localization in Urban Water Supply Pipelines Based on Northern Goshawk Optimization. - Xin Chen; Zhu Jiang; Jiale Li; Zhendong Zhao; Yunyun Cao (Sensors, 2024)

Take Attention Inside: Neighbor Pair Graph Contrastive Learning. - Bisheng Tang; Xiaojun Chen; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ICASSP, 2025)

FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network. - Tingyu Fan; Xiaojun Chen 004; Xudong Chen; Ye Dong; Weizhan Jing; Zhendong Zhao (Comput. Networks, 2025)

Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions. - Yunfei Yang 001; Xiaojun Chen 004; Yuexin Xuan; Zhendong Zhao (CoRR, 2025)

A Dual-Agent Collaboration Framework Based on LLMs for Nursing Robots to Perform Bimanual Coordination Tasks. - Zhendong Zhao; Xiaotian Yue; Jiexin Xie; Chuanhong Fang; Zhenzhou Shao; Shijie Guo (IEEE Robotics Autom. Lett., 2025)

Think Hierarchically, Act Dynamically: Hierarchical Multi-modal Fusion and Reasoning for Vision-and-Language Navigation. - Junrong Yue; Yifan Zhang; Chuan Qin; Bo Li; Xiaomin Lie; Xinlei Yu; Wenxin Zhang; Zhendong Zhao (CoRR, 2025)

IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning. - Jiayao Wang 004; Yang Song; Zhendong Zhao; Jiale Zhang; Qilin Wu; Junwu Zhu; Dongfang Zhao 001 (CoRR, 2025)