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Viewing Publication 1 - 100 from 1566

2023

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]

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]

Adversarial Attack and Defense on Graph Data: A SurveyLichao Sun 0001, Yingtong Dou, Carl Yang, Kai Zhang 0039, Ji Wang 0002, Philip S. Yu, Lifang He 0001, Bo Li. tkde, 35(8):7693-7711, August 2023. [doi]

GCN for HIN via Implicit Utilization of Attention and Meta-PathsDi Jin 0001, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han 0001. tkde, 35(4):3925-3937, April 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]

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]

An Adaptive Graph Pre-training Framework for Localized Collaborative FilteringYiqi Wang 0001, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie 0001, Lei Chen 0002, Philip S. Yu. tois, 41(2), April 2023. [doi]

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural NetworksJianxin Li 0002, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He 0001. tkde, 35(1):560-574, 2023. [doi]

Adaptive Subgraph Neural Network With Reinforced Critical Structure MiningJianxin Li 0002, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu 0001, Philip S. Yu. pami, 45(7):8063-8080, July 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]

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]

Exploiting Intent Evolution in E-commercial Query RecommendationYu Wang 0158, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu. kdd 2023: 5162-5173 [doi]

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item RecommendationYuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu. recsys 2023: 322-333 [doi]

A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted ConcatenationYahui Chai, Xiaobin Rui, Jie Yang, Philip S. Yu, Zhixiao Wang. dasfaa 2023: 341-350 [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]

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

Mutual Wasserstein Discrepancy Minimization for Sequential RecommendationZiwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu. WWW 2023: 1375-1385 [doi]

Graph Collaborative Signals Denoising and Augmentation for RecommendationZiwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu. sigir 2023: 2037-2041 [doi]

Adaptive curvature exploration geometric graph neural networkXingcheng Fu, Jianxin Li 0002, Jia Wu 0001, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu. kais, 65(5):2281-2304, May 2023. [doi]

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

Discovering High Utility Episodes in SequencesWensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu. tai, 4(3):473-486, June 2023. [doi]

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural NetworksYang Gao, Peng Zhang 0001, Chuan Zhou 0001, Hong Yang, Zhao Li 0007, Yue Hu 0002, Philip S. Yu. tkde, 35(9):9448-9461, September 2023. [doi]

Learning Adaptive Node Embeddings Across GraphsGaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He 0001, Philip S. Yu. tkde, 35(6):6028-6042, June 2023. [doi]

Adversarial Representation Mechanism Learning for Network EmbeddingDongxiao He, Tao Wang, Lu Zhai, Di Jin 0001, Liang Yang 0002, Yuxiao Huang, Zhiyong Feng 0002, Philip S. Yu. tkde, 35(2):1200-1213, 2023. [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]

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]

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]

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]

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]

GDA: Generative Data Augmentation Techniques for Relation Extraction TasksXuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu. acl 2023: 10221-10234 [doi]

Higher Order Connection Enhanced Community Detection in Adversarial Multiview NetworksLing Huang, Chang-Dong Wang, Philip S. Yu. tcyb, 53(5):3060-3074, May 2023. [doi]

US-Rule: Discovering Utility-driven Sequential RulesGengsen Huang, Wensheng Gan, Jian Weng 0001, Philip S. Yu. tkdd, 17(1), January 2023. [doi]

Unbiased and Efficient Self-Supervised Incremental Contrastive LearningCheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu. wsdm 2023: 922-930 [doi]

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

A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in BioinformaticsYan Kang, Haining Wang, Bin Pu, Liu Tao, Jianguo Chen, Philip S. Yu. tcbb, 20(3):1746-1760, 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]

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]

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]

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-LearningChaozhuo Li, Senzhang Wang, Jie Xu 0015, Zheng Liu, Hao Wang 0068, Xing Xie 0001, Lei Chen 0002, Philip S. Yu. tkde, 35(10):10166-10180, October 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]

Comprehensive evaluation of deep and graph learning on drug-drug interactions predictionXuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao 0001, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng. bib, 24(4), July 2023. [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]

Multiview Clustering via Proximity Learning in Latent Representation SpaceBao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu. tnn, 34(2):973-986, February 2023. [doi]

Graph Self-Supervised Learning: A SurveyYixin Liu, Ming Jin 0005, Shirui Pan, Chuan Zhou 0001, Yu Zheng, Feng Xia 0001, Philip S. Yu. tkde, 35(6):5879-5900, June 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]

Enhancing Cross-lingual Transfer via Phonemic Transcription IntegrationHoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu. acl 2023: 9163-9175 [doi]

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate MarketHao Peng, Jianxin Li 0002, Zheng Wang 0001, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He 0001. tkde, 35(3):2765-2780, March 2023. [doi]

Reinforced, Incremental and Cross-Lingual Event Detection From Social MessagesHao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu. pami, 45(1):980-998, 2023. [doi]

Temporal Link Prediction With Motifs for Social NetworksZhenYu Qiu, Jia Wu 0001, Wenbin Hu, Bo Du 0001, Guocai Yuan, Philip S. Yu. tkde, 35(3):3145-3158, March 2023. [doi]

CONGREGATE: Contrastive Graph Clustering in Curvature SpacesLi Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu. IJCAI 2023: 2296-2305 [doi]

Self-Organization Preserved Graph Structure Learning with Principle of Relevant InformationQingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu. AAAI 2023: 4643-4651 [doi]

Self-Supervised Continual Graph Learning in Adaptive Riemannian SpacesLi Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu. AAAI 2023: 4633-4642 [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]

Reducing Negative Effects of the Biases of Language Models in Zero-Shot SettingXiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu. wsdm 2023: 904-912 [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]

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]

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerceYibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao 0006, Stephen Guo, Philip S. Yu. sigir 2023: 1884-1888 [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]

Signed Network Representation by Preserving Multi-Order Signed ProximityPinghua Xu, Wenbin Hu, Jia Wu 0001, Weiwei Liu 0003, Yang Yang, Philip S. Yu. tkde, 35(3):3087-3100, March 2023. [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]

A Post-Training Framework for Improving Heterogeneous Graph Neural NetworksCheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu. WWW 2023: 251-262 [doi]

Ranking-based Group Identification via Factorized Attention on Social Tripartite GraphMingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu. wsdm 2023: 769-777 [doi]

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptationZhimeng Yang, Yazhou Ren 0001, Zirui Wu, Ming Zeng 0009, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He 0001. ijon, 526:109-120, March 2023. [doi]

Triadic Closure Sensitive Influence MaximizationJie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun 0001. tkdd, 17(6), July 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]

Hierarchical State Abstraction based on Structural Information PrinciplesXianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, LiFang He, Philip S. Yu. IJCAI 2023: 4549-4557 [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 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]

Link Prediction with Contextualized Self-SupervisionDaokun Zhang, Jie Yin, Philip S. Yu. tkde, 35(7):7138-7151, July 2023. [doi]

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NERTao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu. talip, 22(3):1-21, March 2023. [doi]

Multi-View Tensor Graph Neural Networks Through Reinforced AggregationXusheng Zhao, Qiong Dai, Jia Wu 0001, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu. tkde, 35(4):4077-4091, 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]

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy OptimizationDongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu. WWW 2023: 499-510 [doi]

2022

Time Lag Aware Sequential RecommendationLihua Chen, Ning Yang 0001, Philip S. Yu. CIKM 2022: 212-221 [doi]

Mitigating health disparities in EHR via deconfounderZheng Liu, Xiaohan Li, Philip S. Yu. bcb 2022: [doi]

Double-Environmental Q-Learning for Energy Management System in Smart GridJia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu. bigdataconf 2022: 6364-6370 [doi]

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