The relationship between investor sentiment and stock yield: an analysis based on data mining. - Huiru Pei; Zhiyuan Zou (CAIBDA, 2022)

AdaNFF: A new method for adaptive nonnegative multi-feature fusion to scene classification. - Zhiyuan Zou; Weibin Liu; Weiwei Xing (Pattern Recognit., 2022)

Accurate Association of Radar-Vision Measurements Based on Weighted Euclidean Distance. - Hang Bai; Hongfu Li; Wei Yi; Zhiyuan Zou (ICCAIS, 2023)

Coherent Integration and Detection for Extended Targets in Traffic Scenes. - Yunlian Tian; Zhiyuan Zou; Jiaye Yang; Wei Yi (ICCAIS, 2023)

Distributed Posterior Fusion for Vehicle Tracking with Gaussian Processes. - Jiaye Yang; Yunlian Tian; Haiyi Mao; Zhiyuan Zou; Wei Yi (ICCAIS, 2023)

Deep Learning Based Target Detection Method for the Range-Azimuth-Doppler Cube of Automotive Radar. - Yiru Lin; Xinwei Wei; Zhiyuan Zou; Wei Yi (ITSC, 2023)

A Two-Stage Deep Network for the Quantity Estimation and Detection of Multiple Swarm-type Targets Using Radar RD Images. - Zhiyuan Zou; Yunlian Tian; Yiru Lin; Jiaye Yang; Wei Yi (ITSC, 2023)

Cognitive Graph Empowered Textile and Clothing Intelligent Service Platform. - Zhiyuan Zou; Zhipeng Wang; Longfei Liu; Changxi Feng; Bangchao Wang (QRS Companion, 2023)

Minimum volume simplex-based scene representation and attribute recognition with feature fusion. - Zhiyuan Zou; Weibin Liu; Weiwei Xing; Shunli Zhang (Appl. Intell., 2023)

NMEAS: Neuro-MaxEnt architecture search. - Zhiyuan Zou; Weibin Liu; Weiwei Xing; Shunli Zhang (Int. J. Mach. Learn. Cybern., 2023)

Hierarchical Crossover-Based NSGA-III for Dynamic Flexible Job Shop Scheduling Problem. - Zeyu Feng; Xu Liang; Zhiyuan Zou (ACAI, 2024)

An Adaptive Dual-Archive SPEA2 For Solving Multi-Objective Flexible Job Shop Scheduling Problems. - Linyuan Hao; Xu Liang; Zhiyuan Zou (ACAI, 2024)

HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery. - Zhiyuan Zou; Bangchao Wang; Hongyan Wan; Huan Jin; Xiaoxiao Li; Yukun Cao (APSEC, 2024)

PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery. - Yang Deng; Bangchao Wang; Zhiyuan Zou; Luyao Ye (ESEM, 2024)

Track-Before-Detect for Automotive Multi-Radar Systems with Time-Varying Fields of View. - Qing Miao; Zhiyuan Zou; Wujun Li; Wei Yi (FUSION, 2024)

Transformer-based Multi-Target Tracking with Bayesian Perspective. - Xinwei Wei; Yiru Lin; Linao Zhang; Zhiyuan Zou; Jianwei Wei; Wei Yi (FUSION, 2024)

Trajectory Generation and Dynamic Continuous Activity Recognition for Radar Swarm Targets. - Zhiyuan Zou; Qing Miao; Jianwei Wei; Yiru Lin; Xinwei Wei; Wei Yi (FUSION, 2024)

Multi-Source Face Relighting: Pre-fusion and Post-fusion Approaches for Improved Lighting Consistency and Detail Preservation. - Yuan Gao; Zhiyuan Zou; Junle Hu; Jixuan Dai (ICCVIT, 2024)

Radar Intelligent Detection Approach for Swarm Target Scene. - Tai Luo; Yuanhang Wu; Zhiyuan Zou; Wei Yi (IGARSS, 2024)

MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery. - Xingfu Li; Bangchao Wang; Hongyan Wan; Yuanbang Li; Han Jiang; Yang Deng; Zhiyuan Zou (IJCNN, 2024)

DDBO: Discrete Dung Beetle Optimizer for Optical Communication Simulation Task Allocation. - Zheng Wang; Weiwei Xing; Yue Cheng; Weibin Liu; Zhiyuan Zou; Zhi Wang; Genxiang Chen; Wei Lu (ISPA, 2024)

OpenCML: An Open Customizable Modeling Language for Directed Acyclic Graphs. - Zhenjie Wei; Weiwei Xing; Weibin Liu; Zhiyuan Zou; Genxiang Chen (ISPA, 2024)

Segmentation-assisted Multi-frame Radar Target Detection Network in Clutter Traffic Scenarios. - Yiru Lin; Xinwei Wei; Xi Cao; Zhiyuan Zou; Wei Yi (IV, 2024)

Advancements in Bug Traceability: A Systematic Mapping Study. - Bangchao Wang; Shouya Hu; Luyao Ye; Hongyan Wan; Zhiyuan Zou; Xiaoxiao Li; Jiaxu Zhu (SMC, 2024)

XWCoDe: XGBoost with Weighted Code Dependency for Requirements-to-Code Traceability Link Recovery. - Zhiyuan Zou; Bangchao Wang; Yang Deng; Hongyan Wan; Zhiquan An; Yukun Cao (SMC, 2024)

An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery. - Bangchao Wang; Zhiyuan Zou; Hongyan Wan; Yuanbang Li; Yang Deng; Xingfu Li (J. King Saud Univ. Comput. Inf. Sci., 2024)

Enhancing requirements-to-code traceability with GA-XWCoDe: Integrating XGBoost, Node2Vec, and genetic algorithms for improving model performance and stability. - Zhiyuan Zou; Bangchao Wang; Xinrong Hu; Yang Deng; Hongyan Wan; Huan Jin (J. King Saud Univ. Comput. Inf. Sci., 2024)

A Lightweight Transformer for Non-Invasive Ivory Texture Recognition. - Aikun Lin; Xu Liang; Tingyuan Zhou; Zhiyuan Zou; Linyuan Hao (CNIOT, 2025)

Bi-attention pyramid network for small defect with complex background in industrial detection. - Yihang Li; Zhiyuan Zou; Xu Liang (ICASSP, 2025)

A multi-strategy iterated greedy algorithm with three-phase for hybrid flow shop scheduling in distributed factory. - Dandan Liu; Zhiyuan Zou; Xu Liang (Appl. Soft Comput., 2025)

Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm. - Linyuan Hao; Zhiyuan Zou; Xu Liang (Comput. Ind. Eng., 2025)

Solving machine overload for re-scheduling of dynamic flexible job shop by adaptive tripartite game theory-based genetic algorithm. - Zeyu Feng; Zhiyuan Zou; Xu Liang (Swarm Evol. Comput., 2025)

HGNNLink: recovering requirements-code traceability links with text and dependency-aware heterogeneous graph neural networks. - Bangchao Wang; Zhiyuan Zou; Xuanxuan Liang; Huan Jin; Peng Liang 001 (Autom. Softw. Eng., 2025)