Philip S. Yu - researchr alias

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Viewing Publication 1 - 100 from 1710

2025

Knowledge-aware multimodal pre-training for fake news detectionLitian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li. inffus, 114:102715, 2025. [doi]

2024

DA³: A Distribution-Aware Adversarial Attack against Language ModelsYibo Wang 0001, Xiangjue Dong, James Caverlee, Philip S. Yu. emnlp 2024: 1808-1825 [doi]

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient RecommendationWeizhi Zhang 0001, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu. CIKM 2024: 3248-3258 [doi]

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph ClassificationLu Bai 0001, Lixin Cui, Yue Wang 0014, Ming Li 0065, Jing Li 0040, Philip S. Yu, Edwin R. Hancock. tkde, 36(11):6370-6384, November 2024. [doi]

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2Hao Peng 0001, Jian Yang 0001, Jia Wu 0001, Philip S. Yu. tweb, 18(2), May 2024. [doi]

Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and ApplicationsJia Wu 0001, Jian Yang 0001, Philip S. Yu, Carlo Condo. tetc, 12(2):402, April - June 2024. [doi]

Deep Learning for Code Intelligence: Survey, Benchmark and ToolkitYao Wan 0001, Zhangqian Bi, Yang He, Jianguo Zhang 0005, Hongyu Zhang 0002, Yulei Sui, Guandong Xu 0001, Hai Jin 0001, Philip S. Yu. ACM Comput. Surv., 56(12), December 2024. [doi]

Neural Abstractive Summarization for Long Text and Multiple TablesShuaiqi Liu 0002, Jiannong Cao 0001, Zhongfen Deng, Wenting Zhao 0006, Ruosong Yang, Zhiyuan Wen, Philip S. Yu. tkde, 36(6):2572-2586, June 2024. [doi]

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction PredictionTengfei Ma 0002, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-Iao Pang, Yiping Liu, Yijun Wang 0002, Longyue Wang, Bosheng Song, Xiangxiang Zeng, Philip S. Yu. tkde, 36(12):8682-8694, December 2024. [doi]

Graph Structure Reshaping Against Adversarial Attacks on Graph Neural NetworksHaibo Wang 0004, Chuan Zhou 0001, Xin Chen, Jia Wu 0001, Shirui Pan, Zhao Li 0007, Jilong Wang 0001, Philip S. Yu. tkde, 36(11):6344-6357, November 2024. [doi]

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and TextWenting Zhao 0006, Ye Liu 0006, Tong Niu, Yao Wan 0001, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz. naacl 2024: 51-68 [doi]

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context LearningWenting Zhao 0006, Ye Liu 0006, Yao Wan 0001, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu 0002, Yunlong Xu, Philip S. Yu. naacl 2014: 326-337 [doi]

Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language ModelWenting Zhao 0006, Zhongfen Deng, Shweta Yadav 0001, Philip S. Yu. WWW 2024: 1590-1594 [doi]

RicciNet: Deep Clustering via A Riemannian Generative ModelLi Sun 0008, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng 0001, Zhengtao Yu 0001, Philip S. Yu. WWW 2024: 4071-4082 [doi]

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph ClusteringLi Sun 0008, Zhenhao Huang, Hao Peng 0001, Yujie Wang, Chunyang Liu, Philip S. Yu. icml 2024: [doi]

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]

Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network AlignmentJie Xu 0015, Chaozhuo Li 0001, Feiran Huang, Zhoujun Li 0001, Xing Xie 0001, Philip S. Yu. tnn, 35(10):13340-13353, October 2024. [doi]

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential RecommendationChen Wang 0052, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu. kdd 2024: 2970-2979 [doi]

Collaborative Alignment for RecommendationChen Wang 0052, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu. CIKM 2024: 2315-2325 [doi]

Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce ProductsTao Zhang 0055, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu. acl 2014: 8631-8643 [doi]

Conditional Denoising Diffusion for Sequential RecommendationYu Wang 0158, Zhiwei Liu, Liangwei Yang, Philip S. Yu. pakdd 2024: 156-169 [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]

A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang 0001, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye 0004, Yue Zhang, Yi Chang 0001, Philip S. Yu, Qiang Yang 0001, Xing Xie 0001. tist, 15(3), June 2024. [doi]

Open Metaverse: Issues, Evolution, and FutureZefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu. WWW 2024: 1351-1360 [doi]

Towards utility-driven contiguous sequential patterns in uncertain multi-sequencesZefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu. kbs, 284:111314, 2024. [doi]

Concept Factorization Based Multiview Clustering for Large-Scale DataMan-Sheng Chen, Chang-Dong Wang, Dong Huang 0001, Jian-Huang Lai, Philip S. Yu. tkde, 36(11):5784-5796, November 2024. [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]

DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learningHan Chen, Yuhua Li 0003, Philip S. Yu, Yixiong Zou, Ruixuan Li. kbs, 304:112472, 2024. [doi]

Privacy-preserving federated discovery of DNA motifs with differential privacyYao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu. eswa, 249:123799, 2024. [doi]

Information Cascade Popularity Prediction via Probabilistic DiffusionZhangtao Cheng, Fan Zhou 0002, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Philip S. Yu. tkde, 36(12):8541-8555, December 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]

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement LearningXinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He 0001. eswa, 245:123158, 2024. [doi]

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement LearningXinqi Du, Ziyue Li 0002, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen. tkde, 36(9):4678-4692, September 2024. [doi]

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingQihua Feng, Peiya Li, ZhiXun Lu, Chaozhuo Li 0001, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng 0001, Philip S. Yu. tcsv, 34(8):7467-7483, August 2024. [doi]

MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events ForecastingZehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao 0001, Philip S. Yu. CIKM 2024: 685-694 [doi]

Privacy preserving rare itemset miningYijie Gui, Wensheng Gan, Yongdong Wu, Philip S. Yu. isci, 662:120262, 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]

Towards Understanding Factual Knowledge of Large Language ModelsXuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo. iclr 2024: [doi]

Evaluating Robustness of Generative Search Engine on Adversarial Factoid QuestionsXuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen 0001, Philip S. Yu, Zhijiang Guo. acl 2014: 10650-10671 [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]

From Creation to Clarification: ChatGPT's Journey Through the Fake News QuagmireYue Huang, Kai Shu, Philip S. Yu, Lichao Sun. WWW 2024: 513-516 [doi]

TaSPM: Targeted Sequential Pattern MiningGengsen Huang, Wensheng Gan, Philip S. Yu. tkdd, 18(5), June 2024. [doi]

CoSENT: Consistent Sentence Embedding via Similarity RankingXiang Huang, Hao Peng 0001, Dongcheng Zou, Zhiwei Liu, Jianxin Li 0002, Kay Liu, Jia Wu 0001, Jianlin Su, Philip S. Yu. taslp, 32:2800-2813, 2024. [doi]

Position: TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun 0001, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang 0001, Huan Zhang 0001, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang 0001, Mohit Bansal, James Zou 0001, Jian Pei, Jian Liu, Jianfeng Gao 0001, Jiawei Han 0001, Jieyu Zhao, Jiliang Tang, Jindong Wang 0001, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He 0001, Lifu Huang, Michael Backes 0001, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu 0001, Tianyi Zhou 0001, William Wang 0001, Xiang Li 0001, Xiangliang Zhang 0001, Xiao Wang, Xing Xie 0001, Xun Chen, Xuyu Wang, Yan Liu 0002, Yanfang Ye 0001, Yinzhi Cao, Yong Chen, Yue Zhao 0016. icml 2024: [doi]

Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walkZhongyuan Jiang, Haibo Liu, Jing Li 0101, Xinghua Li 0001, Jianfeng Ma 0001, Philip S. Yu. mlc, 15(11):4959-4971, November 2024. [doi]

Beyond the Known: Novel Class Discovery for Open-World Graph LearningYucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu. dasfaa 2024: 117-133 [doi]

Large language models in law: A surveyJinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu. aiopen, 5:181-196, 2024. [doi]

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignmentQian Li, Jianxin Li 0002, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng 0001, Lihong Wang, Philip S. Yu. NN, 179:106479, 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]

A Survey on Deep Learning Event Extraction: Approaches and ApplicationsQian Li, Jianxin Li 0002, Jiawei Sheng, Shiyao Cui, Jia Wu 0001, Yiming Hei, Hao Peng 0001, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu. tnn, 35(5):6301-6321, May 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]

The 13th International Workshop on Urban ComputingYuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng 0004, Jieping Ye, Qiang Yang 0001, Philip S. Yu, Ouri Wolfson. kdd 2024: 6727-6728 [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]

An Unforgeable Publicly Verifiable Watermark for Large Language ModelsAiwei Liu, Leyi Pan, Xuming Hu, Shuang Li 0015, Lijie Wen 0001, Irwin King, Philip S. Yu. iclr 2024: [doi]

PyGOD: A Python Library for Graph Outlier DetectionKay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng 0001, Lichao Sun 0001, Philip S. Yu. jmlr, 25, 2024. [doi]

The Open Story Model (OSM): Transforming Big Data into Interactive NarrativesFariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu 0001, Philip S. Yu. icws 2024: 1177-1187 [doi]

Graph Neural Networks for Brain Graph Learning: A SurveyXuexiong Luo, Jia Wu 0001, Jian Yang 0001, Shan Xue 0001, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu. IJCAI 2024: 8170-8178 [doi]

Privacy and Robustness in Federated Learning: Attacks and DefensesLingjuan Lyu, Han Yu 0001, Xingjun Ma, Chen Chen 0043, Lichao Sun 0001, Jun Zhao 0007, Qiang Yang 0001, Philip S. Yu. tnn, 35(7):8726-8746, July 2024. [doi]

3rd International Workshop on Industrial Recommendation Systems (IRS)Luyi Ma, Xiaohan Li 0001, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis. CIKM 2024: 5588-5591 [doi]

Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and PromptingJiushun Ma, Yuxin Huang, Linqin Wang, Xiang Huang, Hao Peng 0001, Zhengtao Yu 0001, Philip S. Yu. talip, 23(9), September 2024. [doi]

CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual ScriptsHoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu. COLING 2024: 4008-4020 [doi]

BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter OptimizationZhongyi Pei, Zhiyao Cen, Yipeng Huang 0006, Chen Wang 0018, Lin Liu 0001, Philip S. Yu, Mingsheng Long, Jianmin Wang 0001. kdd 2024: 2340-2351 [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]

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet ExtractionKun Peng, Lei Jiang 0003, Hao Peng 0001, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu. sdm 2024: 145-153 [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]

Uncertainty-Guided Boundary Learning for Imbalanced Social Event DetectionJiaqian Ren, Hao Peng 0001, Lei Jiang 0003, Zhiwei Liu, Jia Wu 0001, Zhengtao Yu 0001, Philip S. Yu. tkde, 36(6):2701-2715, June 2024. [doi]

Lecture-style Tutorial: Towards Graph Foundation ModelsChuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu. WWW 2024: 1264-1267 [doi]

Towards complex dynamic physics system simulation with graph neural ordinary equationsGuangsi Shi, Daokun Zhang, Ming Jin 0005, Shirui Pan, Philip S. Yu. NN, 176:106341, 2024. [doi]

WDEA: The Structure and Semantic Fusion With Wasserstein Distance for Low-Resource Language Entity AlignmentRan Song, Xiang Huang, Hao Peng 0001, Shengxiang Gao, Zhengtao Yu 0001, Philip S. Yu. taslp, 32:4511-4525, 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]

Web3: The Next Internet RevolutionShicheng Wan, Hong Lin, Wensheng Gan, Jiahui Chen 0002, Philip S. Yu. iotj, 11(21):34811-34825, November 2024. [doi]

Zero-Shot Text Normalization via Cross-Lingual Knowledge DistillationLinqin Wang, Xiang Huang, Zhengtao Yu 0001, Hao Peng 0001, Shengxiang Gao, Cunli Mao, Yuxin Huang, Ling Dong, Philip S. Yu. taslp, 32:4631-4646, 2024. [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]

Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender SystemsSenzhang Wang, Changdong Wang, Di Jin 0001, Shirui Pan, Philip S. Yu. tbd, 10(6):682, December 2024. [doi]

Motif-Based Contrastive Learning for Community DetectionXunxun Wu, Chang-Dong Wang, Jia-Qi Lin, Wu-Dong Xi, Philip S. Yu. tnn, 35(9):11706-11719, September 2024. [doi]

Geospatial Big Data: Survey and ChallengesJiayang Wu, Wensheng Gan, Han-Chieh Chao, Philip S. Yu. staeors, 17:17007-17020, 2024. [doi]

Bayes-Enhanced Multi-View Attention Networks for Robust POI RecommendationJiangnan Xia, Yu Yang 0012, Senzhang Wang, Hongzhi Yin, Jiannong Cao 0001, Philip S. Yu. tkde, 36(7):2895-2909, July 2024. [doi]

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly DetectionRonghui Xu, Hao Miao 0001, Senzhang Wang, Philip S. Yu, Jianxin Wang 0001. kdd 2024: 3621-3632 [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]

Instruction-based Hypergraph PretrainingMingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu. sigir 2024: 501-511 [doi]

DAMe: Personalized Federated Social Event Detection with Dual Aggregation MechanismXiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng 0001, Li Sun 0008, Liehuang Zhu, Philip S. Yu. CIKM 2024: 3052-3062 [doi]

Decentralized Federated Learning: A Survey and PerspectiveLiangqi Yuan, Ziran Wang, Lichao Sun 0001, Philip S. Yu, Christopher G. Brinton. iotj, 11(21):34617-34638, November 2024. [doi]

AI Agent for Information Retrieval: Generating and RankingYongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu 0007, Philip S. Yu. CIKM 2024: 5605-5607 [doi]

Revisit Orthogonality in Graph-Regularized MLPsHengrui Zhang, Shen Wang 0005, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang 0003, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu. CIKM 2024: 3145-3154 [doi]

InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured DataHengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu. CIKM 2024: 3155-3164 [doi]

Provable Unrestricted Adversarial Training Without Compromise With GeneralizabilityLilin Zhang, Ning Yang 0001, Yanchao Sun, Philip S. Yu. pami, 46(12):8302-8319, December 2024. [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]

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsYi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang 0160, Olivera Kotevska, Philip S. Yu, Tyler Derr. tkde, 36(12):7497-7515, December 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]

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value ExtractionHenry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang 0001, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea. acl 2014: 338-354 [doi]

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