Novel optical nanobiosensor assembled with silver nanoparticles on gold surface. - Zhong Cao; Meng-Xue Zeng; Ling Zhang; Xi-Xi Huang; Ming-Xing Wang; Fu-Chun Gong; Shu-Zhen Tan (NEMS, 2009)

Multi-wall carbon nanotubes film used for determination of salbutamol sulfate. - Shu Long; Zhong Cao; Yu-Ting Zhao; Yi Zhou; Ming-Xing Wang; Yun-Lin Dai; Fu-Chun Gong; Shu-Zhen Tan (NEMS, 2009)

A Combining Spatial Enhancement Method for Low Illumination Images. - Wenjing Zhao; Zhong Cao; Pan Liu (EIDWT, 2013)

Lane-level route planning based on a multi-layer map model. - Chaoran Liu; Kun Jiang 002; Zhongyang Xiao; Zhong Cao; Diange Yang (ITSC, 2017)

Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks. - Jiang Lu; Zhong Cao; Kailun Wu; Gang Zhang; Changshui Zhang (ICTAI, 2018)

Decentralized Observer-Based Reliable Control for a Class of Interconnected Markov Jumped Time-Delay System Subject to Actuator Saturation and Failure. - Zhaohui Chen; Zhong Cao; Qi Huang 001; Stephen L. Campbell (Circuits Syst. Signal Process., 2018)

Reliable H∞ control on saturated linear Markov jump system with uncertain transition rates and asynchronous jumped actuator failure. - Zhaohui Chen; Zhong Cao; Qi Huang 001; Stephen L. Campbell (J. Frankl. Inst., 2018)

Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories. - Huaiyu Wan; Fuchen Li; Shengnan Guo 001; Zhong Cao; Youfang Lin (DASFAA (3), 2019)

String stability for vehicular platoon control: Definitions and analysis methods. - Shuo Feng 002; Yi Zhang 029; Shengbo Eben Li; Zhong Cao; Henry X. Liu; Li Li 013 (Annu. Rev. Control., 2019)

Monocular Depth Prediction through Continuous 3D Loss. - Minghan Zhu; Maani Ghaffari; Yuanxin Zhong; Pingping Lu; Zhong Cao; Ryan M. Eustice; Huei Peng (IROS, 2020)

Integrating Deep Reinforcement Learning with Optimal Trajectory Planner for Automated Driving. - Weitao Zhou; Kun Jiang 002; Zhong Cao; Nanshan Deng; Diange Yang (ITSC, 2020)

CLAP: Cloud-and-Learning-compatible Autonomous driving Platform. - Yuanxin Zhong; Zhong Cao; Minghan Zhu; Xinpeng Wang 002; Diange Yang; Huei Peng (IV, 2020)

Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller. - Zhong Cao; Wenjing Zhao; Xiaorong Hou; Zhaohui Chen (IEEE Access, 2020)

Learning Fast Approximations of Sparse Nonlinear Regression. - Yuhai Song; Zhong Cao; Kailun Wu; Ziang Yan; Changshui Zhang (CoRR, 2020)

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. - Zhong Cao; Shaobing Xu; Songan Zhang; Huei Peng; Diange Yang (CoRR, 2020)

Adaptive H∞ control of polynomial Hamiltonian systems via symbolic computation: controller parameterisation. - Zhong Cao; Xiaorong Hou; Wenjing Zhao (J. Control. Decis., 2020)

Decentralized finite-time control for linear interconnected fractional-order systems with input saturation. - Zhaohui Chen; Jun Cheng 004; Jie Tan; Zhong Cao (J. Frankl. Inst., 2020)

Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding. - Zhong Cao; Jiang Lu; Sen Cui; Changshui Zhang (Pattern Recognit., 2020)

Deep Gesture Video Generation With Learning on Regions of Interest. - Runpeng Cui; Zhong Cao; Weishen Pan; Changshui Zhang; Jianqiang Wang 003 (IEEE Trans. Multim., 2020)

Adapt the Driving Policy to Local Traffic before Entering the New Area. - Nanshan Deng; Zhong Cao; Weitao Zhou; Kun Jiang 002; Diange Yang (ITSC, 2021)

LiDAR-based Object Detection Failure Tolerated Autonomous Driving Planning System. - Zhong Cao; Jiaxin Liu; Weitao Zhou; Xinyu Jiao; Diange Yang (IV, 2021)

Sill-Net: Feature Augmentation with Separated Illumination Representation. - Haipeng Zhang; Zhong Cao; Ziang Yan; Changshui Zhang (CoRR, 2021)

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. - Weilin Liu; Ye Mu; Chao Yu 005; Xuefei Ning; Zhong Cao; Yi Wu 013; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (CoRR, 2021)

DCR: Disentangled component representation for sketch generation. - Zhong Cao; Sen Cui; Changshui Zhang (Pattern Recognit. Lett., 2021)

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning. - Zhong Cao; Diange Yang; Shaobing Xu; Huei Peng; Boqi Li 001; Shuo Feng 002; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2021)

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles. - Jiaxin Lin; Wenhui Zhou; Hong Wang 014; Zhong Cao; Wenhao Yu 006; Chengxiang Zhao; Ding Zhao; Diange Yang; Jun Li 082 (ITSC, 2022)

Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles. - Weitao Zhou; Zhong Cao; Yunkang Xu; Nanshan Deng; Xiaoyu Liu; Kun Jiang 002; Diange Yang (ITSC, 2022)

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles. - Jiaxin Liu; Wenhui Zhou; Hong Wang 014; Zhong Cao; Wenhao Yu 006; Chengxiang Zhao; Ding Zhao; Diange Yang; Jun Li 082 (CoRR, 2022)

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. - Chulin Xie; Zhong Cao; Yunhui Long; Diange Yang; Ding Zhao; Bo Li 026 (CoRR, 2022)

Monocular Connected-Vehicle Position Estimation on Sloping and Uneven Roads. - Zhong Cao; Diange Yang; Kun Jiang 002; Shaobing Xu (IEEE Intell. Transp. Syst. Mag., 2022)

Confidence-Aware Reinforcement Learning for Self-Driving Cars. - Zhong Cao; Shaobing Xu; Huei Peng; Diange Yang; Robert Zidek (IEEE Trans. Intell. Transp. Syst., 2022)

A General Autonomous Driving Planner Adaptive to Scenario Characteristics. - Xinyu Jiao; Zhong Cao; Junjie Chen; Kun Jiang 002; Diange Yang (IEEE Trans. Intell. Transp. Syst., 2022)

PNNUAD: Perception Neural Networks Uncertainty Aware Decision-Making for Autonomous Vehicle. - Jiaxin Liu; Hong Wang 014; Liang Peng; Zhong Cao; Diange Yang; Jun Li 082 (IEEE Trans. Intell. Transp. Syst., 2022)

System and Experiments of Model-Driven Motion Planning and Control for Autonomous Vehicles. - Shaobing Xu; Robert Zidek; Zhong Cao; Pingping Lu; Xinpeng Wang 002; Boqi Li 001; Huei Peng (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Bayesian-Based Symptom Screening for Medical Dialogue Diagnosis. - Zhong Cao; Yuchun Guo; Yishuai Chen; Daoqin Lin (ISCC, 2023)

An End-to-End Autonomous Driving Pre-trained Transformer Model for Multi-Behavior-Optimal Trajectory Generation. - Zelin Qian; Kun Jiang 002; Weitao Zhou; Junze Wen; Cheng Jing; Zhong Cao; Diange Yang (ITSC, 2023)

Quantitative Evaluation Method for Industrial Control System Vulnerability Based on Improved Expert Elicitation and Fuzzy Set Method. - Wenli Shang; Tianyu Gong; Jing Hou; Jiayue Lu; Zhong Cao (IEEE Access, 2023)

Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning. - Yuquan Zhang; Zhong Cao; Feng Wang; Man I Lam; Hui Deng; Ying Mei; Lei Tan (CoRR, 2023)

Efficient Revocable Anonymous Authentication Mechanism for Edge Intelligent Controllers. - Zhong Cao; Zhuo Chen; Wenli Shang; Yongdong Zhu (IEEE Internet Things J., 2023)

Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning. - Huiqian Li; Jin Huang 002; Zhong Cao; Diange Yang; Zhihua Zhong (Frontiers Inf. Technol. Electron. Eng., 2023)

Reliable Autonomous Driving Environment Model With Unified State-Extended Boundary. - Xinyu Jiao; Junjie Chen; Kun Jiang 002; Yunlong Wang 009; Zhong Cao; Mengmeng Yang 001; Diange Yang (IEEE Trans. Intell. Transp. Syst., 2023)

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning. - Zhong Cao; Kun Jiang 002; Weitao Zhou; Shaobing Xu; Huei Peng; Diange Yang (Nat. Mac. Intell., 2023)

Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case. - Zhong Cao; Xiang Li 001; Kun Jiang 002; Weitao Zhou; Xiaoyu Liu; Nanshan Deng; Diange Yang (IEEE Trans. Intell. Veh., 2023)

Dynamically Conservative Self-Driving Planner for Long-Tail Cases. - Weitao Zhou; Zhong Cao; Nanshan Deng; Xiaoyu Liu; Kun Jiang 002; Diange Yang (IEEE Trans. Intell. Transp. Syst., 2023)

Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving. - Weitao Zhou; Zhong Cao; Nanshan Deng; Kun Jiang 002; Diange Yang (IEEE Trans. Intell. Transp. Syst., 2023)

Hydrogen Peroxide Electrochemical Sensor Based on Ag/Cu Bimetallic Nanoparticles Modified on Polypyrrole. - Yanxun Guan; Fen Xu; Lixian Sun; Yumei Luo; Riguang Cheng; Yongjin Zou; Lumin Liao; Zhong Cao (Sensors, 2023)

Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles. - Jiaxin Liu; Hong Wang 014; Zhong Cao; Wenhao Yu 006; Chengxiang Zhao; Ding Zhao; Diange Yang; Jun Li 082 (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios. - Ye Mu; Weilin Liu; Chao Yu 005; Xuefei Ning; Zhong Cao; Zelai Xu; Shuang Liang 010; Huazhong Yang; Yu Wang 005 (CASE, 2024)

CWMAGAN-GP-Based Oversampling Technique for Intrusion Detection. - Wenli Shang; Zifeng Huang; Zhaojun Gu; Zhong Cao; Lei Ding 010; Shuang Wang (ICIC (8), 2024)

SPIDER: Self-Driving Planners and Intelligent Decision-Making Engines with Reusability. - Zelin Qian; Kun Jiang 002; Zhong Cao; Kangan Qian; Yiliang Xu; Weitao Zhou; Diange Yang (ITSC, 2024)

Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison. - Wenbo Shao; Jiahui Xu; Zhong Cao; Hong Wang; Jun Li (CoRR, 2024)

CACS-YOLO: A Lightweight Model for Insulator Defect Detection Based on Improved YOLOv8m. - Zhong Cao; Kaihong Chen; Junzuo Chen; Zhaohui Chen; Man Zhang (IEEE Trans. Instrum. Meas., 2024)

An improved arithmetic optimization algorithm with hybrid elite pool strategies. - Haiyang Liu; Xingong Zhang; Hanxiao Zhang; Zhong Cao; Zhaohui Chen (Soft Comput., 2024)

Autonomous Driving Risk Assessment With Boundary-Based Environment Model. - Xinyu Jiao; Junjie Chen; Kun Jiang 002; Zhong Cao; Diange Yang (IEEE Trans. Intell. Veh., 2024)

Optimal Spatial-Temporal Scheduling for EVs With Stochastic Behaviors and Possible Inauthentic Information. - Yan-Wu Wang; Zhong Cao; Jiang-Wen Xiao; Xiaokang Liu 001 (IEEE Trans. Smart Grid, 2024)

Interactive semantics neural networks for skeleton-based human interaction recognition. - Junkai Huang; Rui Zheng; Youyong Cheng; Jiaqian Hu; Weijun Hu; Wenli Shang; Man Zhang; Zhong Cao (Vis. Comput., 2024)

Lightweight authentication scheme for edge control systems in Industrial Internet of Things. - Wenli Shang; Xudong Wen; Zhuo Chen; Wenze Xiong; Zhiwei Chang; Zhong Cao (Frontiers Inf. Technol. Electron. Eng., 2024)

Lightweight Authentication Scheme for Resource-Constrained Devices in IIoT. - Zhong Cao; Xudong Wen; Shan Ai; Haitao Cao 004; Wenli Shang (IET Commun., 2025)

A Tree-Based Scheme to Assess the Safety and Security for Industrial Control Systems. - Wenli Shang; Jiayue Lu; Zhong Cao; Lei Ding 010; Man Zhang; Sha Huan (IEEE Trans. Dependable Secur. Comput., 2025)

Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving. - Nanshan Deng; Weitao Zhou; Bo Zhang 106; Junze Wen; Kun Jiang 002; Zhong Cao; Diange Yang (CoRR, 2025)

LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving. - Zhijie Qiao; Haowei Li; Zhong Cao; Henry X. Liu (CoRR, 2025)

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion. - Jiawei Wang; Xintao Yan; Yao Mu 002; Haowei Sun; Zhong Cao; Henry X. Liu (CoRR, 2025)

Using the ToN-IoT dataset to develop a new intrusion detection system for industrial IoT devices. - Zhong Cao; Zhicai Zhao; Wenli Shang; Shan Ai; Shen Shen (Multim. Tools Appl., 2025)

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy. - Weitao Zhou; Bo Zhang 106; Zhong Cao; Xiang Li 001; Qian Cheng; Chunyang Liu; Yaqin Zhang; Diange Yang (CoRR, 2025)

Unsupervised tractive momentum: a novel unsupervised few-shot learning framework. - Zhong Cao; Jiang Lu; Liu He; Yuheng Luo (J. Supercomput., 2025)