China's wetlands restoration around Poyang Lake, middle Yangtze: evidences from landsat TM/ETM images. - Luguang Jiang; Xiubo Yu; Huixia Zhao; Yangming Zhou (IGARSS, 2005)

A Strategy on Selecting Performance Metrics for Classifier Evaluation. - Yangguang Liu; Yangming Zhou; Shiting Wen; Chaogang Tang (Int. J. Mob. Comput. Multim. Commun., 2014)

A Taxonomy of Label Ranking Algorithms. - Yangming Zhou; Yangguang Liu; Jiangang Yang; Xiaoqi He; Liangliang Liu (J. Comput., 2014)

A label ranking method based on Gaussian mixture model. - Yangming Zhou; Yangguang Liu; Xiao Zhi Gao 001; Guoping Qiu (Knowl. Based Syst., 2014)

Reinforcement learning based local search for grouping problems: A case study on graph coloring. - Yangming Zhou; Jin-Kao Hao; Béatrice Duval (Expert Syst. Appl., 2016)

A fast heuristic algorithm for the critical node problem. - Yangming Zhou; Jin-Kao Hao (GECCO (Companion), 2017)

When data mining meets optimization: A case study on the quadratic assignment problem. - Yangming Zhou; Jin-Kao Hao; Béatrice Duval (CoRR, 2017)

An iterated local search algorithm for the minimum differential dispersion problem. - Yangming Zhou; Jin-Kao Hao (Knowl. Based Syst., 2017)

Opposition-Based Memetic Search for the Maximum Diversity Problem. - Yangming Zhou; Jin-Kao Hao; Béatrice Duval (IEEE Trans. Evol. Comput., 2017)

Learning-driven optimization approaches for combinatorial search problems. (Approches de résolution renforcées par des méthodes d'apprentissage en optimisation combinatoire). - Yangming Zhou (2017)

An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs. - Liqi Lei; Yangming Zhou; Jie Zhai; Le Zhang; Zhijia Fang; Ping He; Ju Gao (BIBM, 2018)

Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions. - Jiahui Qiu; Qi Wang 020; Yangming Zhou; Tong Ruan; Ju Gao (BIBM, 2018)

Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network. - Qi Wang 020; Jiahui Qiu; Yangming Zhou; Tong Ruan; Daqi Gao; Ju Gao (BIBM, 2018)

An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities. - Qi Wang 020; Chenming Xu; Yangming Zhou; Tong Ruan; Daqi Gao; Ping He (BIBM, 2018)

An Effective Standardization Method for the Lab Indicators in Regional Medical Health Platform Using N-grams and Stacking. - Jiaying Zhang; Qi Wang 020; Zhixing Zhang; Yangming Zhou; Qi Ye; Huanhuan Zhang; Jiahui Qiu; Ping He (BIBM, 2018)

Improving probability learning based local search for graph coloring. - Yangming Zhou; Béatrice Duval; Jin-Kao Hao (Appl. Soft Comput., 2018)

Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. - Qi Wang 020; Jiahui Qiu; Yangming Zhou; Tong Ruan; Daqi Gao; Ju Gao (CoRR, 2018)

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records. - Xuli Liu; Jihao Jin; Qi Wang 020; Tong Ruan; Yangming Zhou; Daqi Gao; Yichao Yin (CoRR, 2018)

Random forest for label ranking. - Yangming Zhou; Guoping Qiu (Expert Syst. Appl., 2018)

Intelligent Hospital Guidance System based on Multi-Round Conversation. - Daowen Liu; Zhiyuan Ma 001; Yangming Zhou; Jie Zhai; Tingting Cai; Kui Xue; Ping He (BIBM, 2019)

Question Answering based Clinical Text Structuring Using Pre-trained Language Model. - Jiahui Qiu; Yangming Zhou; Zhiyuan Ma 001; Tong Ruan; Jinlin Liu; Jing Sun (BIBM, 2019)

Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text. - Kui Xue; Yangming Zhou; Zhiyuan Ma 001; Tong Ruan; Huanhuan Zhang; Ping He (BIBM, 2019)

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection. - Liang Zhao; Zhiyuan Ma 001; Yangming Zhou; Kai Wang; Shengping Liu; Ju Gao; Wen Du (BIBM, 2019)

Detecting Hypernymy Relations Between Medical Compound Entities Using a Hybrid-Attention Based Bi-GRU-CapsNet Model. - Chenming Xu; Yangming Zhou; Qi Wang 020; Zhiyuan Ma 001; Yan Zhu 008 (IEEE Access, 2019)

An Intra-Drift-Free Robust Watermarking Algorithm in High Efficiency Video Coding Compressed Domain. - Yangming Zhou; Chengyou Wang; Xiao Zhou 002 (IEEE Access, 2019)

Question Answering based Clinical Text Structuring Using Pre-trained Language Model. - Jiahui Qiu; Yangming Zhou; Zhiyuan Ma; Tong Ruan; Jinlin Liu; Jing Sun (CoRR, 2019)

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection. - Liang Zhao; Zhiyuan Ma; Yangming Zhou; Kai Wang; Shengping Liu; Ju Gao (CoRR, 2019)

Active Learning for Chinese Word Segmentation in Medical Text. - Tingting Cai; Yangming Zhou; Zhiyuan Ma; Hong Zheng; Lingfei Zhang; Ping He; Ju Gao (CoRR, 2019)

Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network. - Jiaying Zhang; Zhixing Zhang; Huanhuan Zhang; Zhiyuan Ma; Yangming Zhou; Ping He (CoRR, 2019)

Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. - Qi Wang 020; Yangming Zhou; Tong Ruan; Daqi Gao; Yuhang Xia; Ping He (J. Biomed. Informatics, 2019)

Representation learning for clinical time series prediction tasks in electronic health records. - Tong Ruan; Liqi Lei; Yangming Zhou; Jie Zhai; Le Zhang; Ping He; Ju Gao (BMC Medical Informatics Decis. Mak., 2019)

Memetic Search for Identifying Critical Nodes in Sparse Graphs. - Yangming Zhou; Jin-Kao Hao; Fred W. Glover (IEEE Trans. Cybern., 2019)

Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition. - Tingting Cai; Yangming Zhou; Hong Zheng (BIBM, 2020)

Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction. - Zhe Wang 002; Bolu Wang; Yangming Zhou; Dongdong Li; Yichao Yin (J. Biomed. Informatics, 2020)

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du; Yangming Zhou (Neural Networks, 2020)

Solving Colored Traveling Salesman Problem via Multi-neighborhood Simulated Annealing Search. - Yangming Zhou; Wenqiang Xu; Zhang-Hua Fu; Mengchu Zhou (ICNSC, 2021)

Feature Importance-aware Graph Attention Network and Dueling Double Deep Q-Network Combined Approach for Critical Node Detection Problems. - Xuwei Tan; Yangming Zhou; Zhang-Hua Fu; Mengchu Zhou (CoRR, 2021)

From electronic health records to terminology base: A novel knowledge base enrichment approach. - Jiaying Zhang; Zhixing Zhang; Huanhuan Zhang; Zhiyuan Ma 001; Qi Ye; Ping He; Yangming Zhou (J. Biomed. Informatics, 2021)

Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs. - Yangming Zhou; Zhe Wang 002; Yan Jin 005; Zhang-Hua Fu (Knowl. Based Syst., 2021)

NE-LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs. - Tingting Cai; Zhiyuan Ma 001; Hong Zheng; Yangming Zhou (Neural Comput. Appl., 2021)

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video. - Tianhao Gu; Zhe Wang 002; Dongdong Li; Hai Yang 002; Wenli Du; Yangming Zhou (IEEE Trans. Cogn. Dev. Syst., 2021)

Variable Population Memetic Search: A Case Study on the Critical Node Problem. - Yangming Zhou; Jin-Kao Hao; Zhang-Hua Fu; Zhe Wang 002; Xiangjing Lai (IEEE Trans. Evol. Comput., 2021)

An Efficient Metaheuristic Algorithm for Solving Soft-clustered Vehicle Routing Problems. - Yawen Kou; Yangming Zhou; Mengchu Zhou (ICNSC, 2022)

Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness. - Yangming Zhou; Qichao Ying; Yifei Wang; Xiangyu Zhang; Zhenxing Qian; Xinpeng Zhang 001 (MMSP, 2022)

Heuristic Search for Rank Aggregation with Application to Label Ranking. - Yangming Zhou; Jin-Kao Hao; Zhen Li; Fred W. Glover (CoRR, 2022)

Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks. - Yangming Zhou; Xiaze Zhang; Na Geng; Zhibin Jiang; Mengchu Zhou (CoRR, 2022)

Multimodal Fake News Detection via CLIP-Guided Learning. - Yangming Zhou; Qichao Ying; Zhenxing Qian; Sheng Li 006; Xinpeng Zhang 001 (CoRR, 2022)

Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness. - Yangming Zhou; Qichao Ying; Xiangyu Zhang; Zhenxing Qian; Sheng Li 006; Xinpeng Zhang 001 (CoRR, 2022)

On fast enumeration of maximal cliques in large graphs. - Yan Jin 005; Bowen Xiong; Kun He 001; Yangming Zhou; Yi Zhou 016 (Expert Syst. Appl., 2022)

Gravitation balanced multiple kernel learning for imbalanced classification. - Mengping Yang; Zhe Wang 002; Yanqiong Li; Yangming Zhou; Dongdong Li; Wenli Du (Neural Comput. Appl., 2022)

Multi-Neighborhood Simulated Annealing-Based Iterated Local Search for Colored Traveling Salesman Problems. - Yangming Zhou; Wenqiang Xu; Zhang-Hua Fu; MengChu Zhou (IEEE Trans. Intell. Transp. Syst., 2022)

Frequent Pattern-Based Search: A Case Study on the Quadratic Assignment Problem. - Yangming Zhou; Jin-Kao Hao; Béatrice Duval (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Bootstrapping Multi-View Representations for Fake News Detection. - Qichao Ying; Xiaoxiao Hu; Yangming Zhou; Zhenxing Qian; Dan Zeng 001; Shiming Ge (AAAI, 2023)

Multimodal Fake News Detection via CLIP-Guided Learning. - Yangming Zhou; Yuzhou Yang; Qichao Ying; Zhenxing Qian; Xinpeng Zhang 001 (ICME, 2023)

Comparison of Classic and Recent Multi-Agent Path Finding Methods via MAPFame. - Jiaqi Huang; Yangming Zhou; MengChu Zhou; Wei Liu 051 (ICNSC, 2023)

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion. - Yangming Zhou; Yuzhou Yang; Qichao Ying; Zhenxing Qian; Xinpeng Zhang 001 (ICMR, 2023)

Bilevel Memetic Search Approach to the Soft-Clustered Vehicle Routing Problem. - Yangming Zhou; Yawen Kou; Mengchu Zhou (Transp. Sci., 2023)

A fast tri-individual memetic search approach for the distance-based critical node problem. - Yangming Zhou; Gezi Wang; Jin-Kao Hao; Na Geng; Zhibin Jiang (Eur. J. Oper. Res., 2023)

Frequent Itemset-Driven Search for Finding Minimal Node Separators and its Application to Air Transportation Network Analysis. - Yangming Zhou; Xiaze Zhang; Na Geng; Zhibin Jiang; Shouguang Wang; Mengchu Zhou (IEEE Trans. Intell. Transp. Syst., 2023)

Simulated Hill Climbing Search for the Solutions of k-Vertex Cut Problems. - Yangming Zhou; Zhibin Jiang; MengChu Zhou (CASE, 2024)

Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences. - Yuzhou Yang; Yangming Zhou; Qichao Ying; Zhenxing Qian; Xinpeng Zhang 001 (ECAI, 2024)

Fact-checking based fake news detection: a review. - Yuzhou Yang; Yangming Zhou; Qichao Ying; Zhenxing Qian; Dan Zeng 001; Liang Liu (CoRR, 2024)

Heuristic Search for Rank Aggregation with Application to Label Ranking. - Yangming Zhou; Jin-Kao Hao; Zhen Li (INFORMS J. Comput., 2024)

Detecting Critical Nodes in Sparse Graphs via "Reduce-Solve-Combine" Memetic Search. - Yangming Zhou; Jiaqi Li; Jin-Kao Hao; Fred W. Glover (INFORMS J. Comput., 2024)

A locational false data injection attack detection method in smart grid based on adversarial variational autoencoders. - Yufeng Wang 001; Yangming Zhou; Jianhua Ma 002; Qun Jin (Appl. Soft Comput., 2024)

Bi-Trajectory Hybrid Search to Solve Bottleneck-Minimized Colored Traveling Salesman Problems. - Yangming Zhou; Wenqiang Xu; Mengchu Zhou; Zhang-Hua Fu (IEEE Trans Autom. Sci. Eng., 2024)

Detecting k-Vertex Cuts in Sparse Networks via a Fast Local Search Approach. - Yangming Zhou; Gezi Wang; MengChu Zhou (IEEE Trans. Comput. Soc. Syst., 2024)

An Efficient Threshold Acceptance-Based Multi-Layer Search Algorithm for Capacitated Electric Vehicle Routing Problem. - Yuning Chen; Junhua Xue; Yangming Zhou; Qinghua Wu 002 (IEEE Trans. Intell. Transp. Syst., 2024)

A heuristic algorithm with multi-scale perturbations for point arrangement and equal circle packing in a convex container. - Xiangjing Lai; Jin-Kao Hao; Dong Yue 001; Yangming Zhou (Comput. Oper. Res., 2025)

Solving soft and hard-clustered vehicle routing problems: A bi-population collaborative memetic search approach. - Yangming Zhou; Lingheng Liu; Una Benlic; Zhi-Chun Li; Qinghua Wu (Eur. J. Oper. Res., 2025)

Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness. - Xuwei Tan; Yangming Zhou; MengChu Zhou; Zhang-Hua Fu (IEEE Trans Autom. Sci. Eng., 2025)

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs. - Yuzhou Yang; Yangming Zhou; Zhiying Zhu 001; Zhenxing Qian; Xinpeng Zhang 001; Sheng Li 006 (CoRR, 2025)