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Viewing Publication 1 - 100 from 1635

2024

Contrastive sequential interaction network learning on co-evolving Riemannian spacesLi Sun 0008, Junda Ye, Jiawei Zhang 0001, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu. mlc, 15(4):1397-1413, April 2024. [doi]

Collaborative Knowledge Graph Fusion by Exploiting the Open CorpusYue Wang 0014, Yao Wan 0001, Lu Bai 0001, Lixin Cui, Zhuo Xu, Ming Li 0065, Philip S. Yu, Edwin R. Hancock. tkde, 36(2):475-489, February 2024. [doi]

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event DetectionYuwei Cao, Hao Peng 0001, Zhengtao Yu 0001, Philip S. Yu. AAAI 2024: 8255-8264 [doi]

Privacy and Fairness in Federated Learning: On the Perspective of TradeoffHuiqiang Chen, Tianqing Zhu, Tao Zhang 0055, Wanlei Zhou 0001, Philip S. Yu. ACM Comput. Surv., 56(2), February 2024. [doi]

Robust multi-agent reinforcement learning via Bayesian distributional value estimationXinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He 0001. PR, 145:109917, January 2024. [doi]

Sample Efficient Offline-to-Online Reinforcement LearningSiyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang. tkde, 36(3):1299-1310, March 2024. [doi]

Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed NetworkXuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, XiaoBin Wang, Pengjun Xie, Philip S. Yu. AAAI 2024: 18261-18269 [doi]

Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-SupervisionsXuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu. tkde, 36(5):2026-2040, May 2024. [doi]

Towards Effective and Robust Graph Contrastive Learning With Graph AutoencodingWen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu. tkde, 36(2):868-881, February 2024. [doi]

Multi-View Graph Learning by Joint Modeling of Consistency and InconsistencyYouwei Liang, Dong Huang 0001, Chang-Dong Wang, Philip S. Yu. tnn, 35(2):2848-2862, February 2024. [doi]

Knowledge Graph Context-Enhanced Diversified RecommendationXiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu. wsdm 2024: 462-471 [doi]

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systemsHao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu. mlc, 15(1):1-2, January 2024. [doi]

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View ClusteringJingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren 0001, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He 0001. AAAI 2024: 14633-14641 [doi]

MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow ForecastingBin Pu, Jiansong Liu, Yan Kang, Jianguo Chen, Philip S. Yu. tcyb, 54(3):1582-1595, March 2024. [doi]

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph TransformerXiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu. AAAI 2024: 249-256 [doi]

Hierarchical Alignment With Polar Contrastive Learning for Next-Basket RecommendationTing-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu. tkde, 36(1):199-210, January 2024. [doi]

A Comprehensive Survey on Community Detection With Deep LearningXing Su, Shan Xue, Fanzhen Liu, Jia Wu 0001, Jian Yang 0001, Chuan Zhou 0001, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin 0001, Quan Z. Sheng, Philip S. Yu. tnn, 35(4):4682-4702, April 2024. [doi]

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive LearningLi Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng 0001, Philip S. Yu. AAAI 2024: 9044-9052 [doi]

A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected GraphsZhixiao Wang, Yahui Chai, Chengcheng Sun, Xiaobin Rui, Hao Mi, Xinyu Zhang 0012, Philip S. Yu. tcyb, 54(2):1037-1047, February 2024. [doi]

Machine Unlearning: A SurveyHeng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou 0001, Philip S. Yu. ACM Comput. Surv., 56(1), January 2024. [doi]

Unified Pretraining for Recommendation via Task HypergraphsMingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu. wsdm 2024: 891-900 [doi]

Totally-ordered Sequential Rules for Utility MaximizationChunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu. tkdd, 18(4), May 2024. [doi]

HUSP-SP: Faster Utility Mining on Sequence DataChunkai Zhang, Yuting Yang 0005, Zilin Du, Wensheng Gan, Philip S. Yu. tkdd, 18(1), January 2024. [doi]

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment AnalysisXusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu. wsdm 2024: 976-984 [doi]

Spatio-Temporal Joint Graph Convolutional Networks for Traffic ForecastingChuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang 0003, Philip S. Yu. tkde, 36(1):372-385, January 2024. [doi]

2023

Sketch-Based Anomaly Detection in Streaming GraphsSiddharth Bhatia 0001, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi. kdd 2023: 93-104 [doi]

Learning Graph Convolutional Networks Based on Quantum Vertex Information PropagationLu Bai 0001, Yuhang Jiao 0001, Lixin Cui, Luca Rossi 0004, Yue Wang 0014, Philip S. Yu, Edwin R. Hancock. tkde, 35(2):1747-1760, 2023. [doi]

Reinforcement Learning Based Path Exploration for Sequential Explainable RecommendationYicong Li 0001, Hongxu Chen, Yile Li, Lin Li 0001, Philip S. Yu, Guandong Xu. tkde, 35(11):11801-11814, November 2023. [doi]

A Survey of Community Detection Approaches: From Statistical Modeling to Deep LearningDi Jin 0001, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu 0001, Philip S. Yu, Weixiong Zhang. tkde, 35(2):1149-1170, 2023. [doi]

Generalizing to Unseen Domains: A Survey on Domain GeneralizationJindong Wang 0001, Cuiling Lan, Chang Liu 0030, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu. tkde, 35(8):8052-8072, August 2023. [doi]

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular InteractionTengfei Ma 0002, Xuan Lin, Bosheng Song, Philip S. Yu, Xiangxiang Zeng. tkde, 35(7):7068-7081, July 2023. [doi]

Equal Opportunity of Coverage in Fair RegressionFangxin Wang 0003, Lu Cheng 0001, Ruocheng Guo, Kay Liu, Philip S. Yu. nips 2023: [doi]

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural NetworkShen Wang 0005, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu. bigdataconf 2023: 304-314 [doi]

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph AutoencoderLi Sun 0008, Zhongbao Zhang, Feiyang Wang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu. tkde, 35(6):5597-5611, June 2023. [doi]

Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary LearningXiaoming Liu 0011, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen 0001, Philip S. Yu. tkde, 35(5):5356-5370, May 2023. [doi]

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and SourcesXiao Wang 0017, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye 0001, Philip S. Yu. tbd, 9(2):415-436, April 2023. [doi]

Self-Supervised Discriminative Feature Learning for Deep Multi-View ClusteringJie Xu 0044, Yazhou Ren 0001, Huayi Tang, Zhimeng Yang, Lili Pan 0001, Yang Yang 0002, Xiaorong Pu, Philip S. Yu, Lifang He 0001. tkde, 35(7):7470-7482, July 2023. [doi]

Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping CriteriaTao Zhang 0055, Tianqing Zhu, Kun Gao, Wanlei Zhou 0001, Philip S. Yu. tnn, 34(9):5557-5569, September 2023. [doi]

Revisiting model fairness via adversarial examplesTao Zhang 0055, Tianqing Zhu, Jing Li 0009, Wanlei Zhou 0001, Philip S. Yu. kbs, 277:110777, October 2023. [doi]

Fairness in graph-based semi-supervised learningTao Zhang 0055, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li 0009, Wanlei Zhou 0001, Philip S. Yu. kais, 65(2):543-570, February 2023. [doi]

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social NetworksQi Wang 0078, Weiliang Zhao, Jian Yang 0001, Jia Wu 0001, Shan Xue, Qianli Xing, Philip S. Yu. tnn, 34(6):2767-2780, June 2023. [doi]

CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence DiffusionHsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen. WWW 2023: 545-555 [doi]

Privacy-preserving federated mining of frequent itemsetsYao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu. isci, 625:504-520, May 2023. [doi]

Privacy and evolutionary cooperation in neural-network-based game theoryZishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou 0001, Philip S. Yu. kbs, 282:111076, December 2023. [doi]

Learning to Select from Multiple OptionsJiangshu Du, Wenpeng Yin 0001, Congying Xia, Philip S. Yu. AAAI 2023: 12754-12762 [doi]

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding ParadigmJiangshu Du, Congying Xia, Wenpeng Yin 0001, Tingting Liang, Philip S. Yu. ijcnlp 2023: 131-138 [doi]

Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement LearningZiwen Du, Ning Yang 0001, Zhonghua Yu, Philip S. Yu. tkde, 35(10):9824-9835, October 2023. [doi]

Model-as-a-Service (MaaS): A SurveyWensheng Gan, Shicheng Wan, Philip S. Yu. bigdataconf 2023: 4636-4645 [doi]

Web 3.0: The Future of InternetWensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu. WWW 2023: 1266-1275 [doi]

SelfLRE: Self-refining Representation Learning for Low-resource Relation ExtractionXuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu. sigir 2023: 2364-2368 [doi]

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social MediaXuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu. sigir 2023: 2901-2912 [doi]

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation ExtractionXuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu. mm 2023: 5185-5194 [doi]

Think Rationally about What You See: Continuous Rationale Extraction for Relation ExtractionXuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu. sigir 2023: 2436-2440 [doi]

Multimodal Relation Extraction with Cross-Modal Retrieval and SynthesisXuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu. acl 2023: 303-311 [doi]

Entity-to-Text based Data Augmentation for various Named Entity Recognition TasksXuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu. acl 2023: 9072-9087 [doi]

Automatic Table Union Search with Tabular Representation LearningXuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu. acl 2023: 3786-3800 [doi]

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceXuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu. sigir 2023: 2319-2323 [doi]

Heterogeneous Graph Propagation NetworkHouye Ji, Xiao Wang 0017, Chuan Shi, Bai Wang 0001, Philip S. Yu. tkde, 35(1):521-532, 2023. [doi]

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual VerbalizerShuang Li, Xuming Hu, Aiwei Liu, YaWen Yang, Fukun Ma, Philip S. Yu, Lijie Wen. acl 2023: 1361-1374 [doi]

Fine-Grained Urban Flow Inference With Incomplete DataJiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao 0001, Junbo Zhang, Philip S. Yu. tkde, 35(6):5851-5864, June 2023. [doi]

Forest based on Interval Transformation (FIT): A time series classifier with adaptive featuresGuiling Li, Shaolin Xu, Senzhang Wang, Philip S. Yu. eswa, 213(Part C):118923, March 2023. [doi]

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language InferenceShuang Li, Xuming Hu, Li Lin 0011, Aiwei Liu, Lijie Wen, Philip S. Yu. taslp, 31:1771-1783, 2023. [doi]

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical NetworkTingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen 0001, Philip S. Yu. tkde, 35(9):9407-9420, September 2023. [doi]

Transferring From Textual Entailment to Biomedical Named Entity RecognitionTingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu. tcbb, 20(4):2577-2586, July - August 2023. [doi]

Effectively Identifying Compound-Protein Interaction Using Graph Neural RepresentationXuan Lin, Zhe Quan, Zhi-Jie Wang 0009, Yan Guo, Xiangxiang Zeng, Philip S. Yu. tcbb, 20(2):932-943, March - April 2023. [doi]

USER: Towards High-Utility Sequential Rules with Repetitive ItemsHong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu. bigdataconf 2023: 5977-5986 [doi]

Interaction in Metaverse: A SurveyHong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu. bigdataconf 2023: 2473-2482 [doi]

A Counterfactual Fair Model for Longitudinal Electronic Health Records via DeconfounderZheng Liu, Xiaohan Li 0001, Philip S. Yu. icdm 2023: 1175-1180 [doi]

Recent advances in domain-driven data miningChuanren Liu, Ehsan Fakharizadi, Tong Xu 0001, Philip S. Yu. ijdsa, 15(1):1-7, January 2023. [doi]

Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor DetectionYuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang 0008. ijcnn 2023: 1-9 [doi]

Graph-based Village Level Poverty IdentificationJing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu. WWW 2023: 4115-4119 [doi]

AMR-based Network for Aspect-based Sentiment AnalysisFukun Ma, Xuming Hu, Aiwei Liu, YaWen Yang, Shuang Li, Philip S. Yu, Lijie Wen. acl 2023: 322-337 [doi]

The 12th International Workshop on Urban ComputingChuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson. kdd 2023: 5874-5875 [doi]

Location-Adaptive Generative Graph Augmentation for Fraud DetectionLin Meng, Xiaonan Zhang, Jiawei Zhang 0001, Philip S. Yu. cogmi 2023: 24-30 [doi]

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive LearningHoang H. Nguyen, Chenwei Zhang, Ye Liu 0006, Philip S. Yu. sigdial 2023: 470-481 [doi]

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot LearningYang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang 0001, Philip S. Yu, Mingsheng Long. pami, 45(12):15275-15291, December 2023. [doi]

An in-depth study on key nodes in social networksChengcheng Sun, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun 0001. ida, 27(6):1811-1838, 2023. [doi]

Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor DetectionMengzhu Sun, Xi Zhang 0008, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu. tkde, 35(12):12736-12749, December 2023. [doi]

Internet of Behaviors: A SurveyJiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, Weiping Ding 0001. iotj, 10(13):11117-11134, july1 2023. [doi]

CIFair: Constructing continuous domains of invariant features for image fair classificationsHuan Tian, Bo Liu 0001, Tianqing Zhu, Wanlei Zhou 0001, Philip S. Yu. kbs, 268:110417, 2023. [doi]

Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis PredictionMingxia Wang, Yun Xiong, Yao Zhang 0009, Philip S. Yu, Yangyong Zhu. dasfaa 2023: 266-275 [doi]

Attacking Fake News Detectors via Manipulating News Social EngagementHaoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun 0001, Philip S. Yu, Kai Shu. WWW 2023: 3978-3986 [doi]

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start ItemsShen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu. icdm 2023: 1516-1525 [doi]

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive LearningYunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang 0001, Philip S. Yu, Mingsheng Long. pami, 45(2):2208-2225, 2023. [doi]

ConsRec: Learning Consensus Behind Interactions for Group RecommendationXixi Wu, Yun Xiong, Yao Zhang 0009, Yizhu Jiao, Jiawei Zhang 0005, Yangyong Zhu, Philip S. Yu. WWW 2023: 240-250 [doi]

Dimension Independent Mixup for Hard Negative Sample in Collaborative FilteringXi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu. CIKM 2023: 2785-2794 [doi]

Gaussian Prior Reinforcement Learning for Nested Named Entity RecognitionYaWen Yang, Xuming Hu, Fukun Ma, Shuang Li, Aiwei Liu, Lijie Wen, Philip S. Yu. icassp 2023: 1-5 [doi]

DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationLiangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang. wsdm 2023: 661-669 [doi]

Model-Based Self-Advising for Multi-Agent LearningDayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou 0001, Philip S. Yu. tnn, 34(10):7934-7945, October 2023. [doi]

Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer SettingChin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen. icde 2023: 2510-2523 [doi]

Dual Adversarial Variational Embedding for Robust RecommendationQiaomin Yi, Ning Yang 0001, Philip S. Yu. tkde, 35(2):1421-1433, 2023. [doi]

Distributed Training of Large Language ModelsFanlong Zeng, Wensheng Gan, Yongheng Wang, Philip S. Yu. icpads 2023: 840-847 [doi]

SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognitionJunsan Zhang, Xiaomin Wang, Yao Wan 0001, Leiquan Wang, Jian Wang 0010, Philip S. Yu. ijon, 533:191-205, 2023. [doi]

A Game-Theoretic Federated Learning Framework for Data Quality ImprovementLefeng Zhang, Tianqing Zhu, Ping Xiong 0001, Wanlei Zhou 0001, Philip S. Yu. tkde, 35(11):10952-10966, November 2023. [doi]

A Robust Game-Theoretical Federated Learning Framework With Joint Differential PrivacyLefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou 0001, Philip S. Yu. tkde, 35(4):3333-3346, April 2023. [doi]

TUSQ: Targeted High-Utility Sequence QueryingChunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng 0001, Philip S. Yu. tbd, 9(2):512-527, April 2023. [doi]

Hierarchical Representation Learning for Attributed NetworksShu Zhao, Ziwei Du, Jie Chen 0025, Yanping Zhang, Jie Tang 0001, Philip S. Yu. tkde, 35(3):2641-2656, March 2023. [doi]

Adversarial Attacks and Defenses in Deep Learning: From a Perspective of CybersecurityShuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou 0001, Philip S. Yu. ACM Comput. Surv., 55(8), 2023. [doi]

Learning Games for Defending Advanced Persistent Threats in Cyber SystemsTianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou 0001, Philip S. Yu. tsmc, 53(4):2410-2422, April 2023. [doi]

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