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Viewing Publication 1 - 100 from 280

2024

Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential RecommendationLei Guo 0008, Jinyu Zhang, Li Tang, Tong Chen 0005, Lei Zhu 0002, Hongzhi Yin. tnn, 35(3):4002-4016, March 2024. [doi]

Motif-based Prompt Learning for Universal Cross-domain RecommendationBowen Hao, Chaoqun Yang, Lei Guo 0008, Junliang Yu, Hongzhi Yin. wsdm 2024: 257-265 [doi]

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph MiningThanh-Toan Nguyen, Thanh-Tam Nguyen, Thanh-Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen 0001, Jun H. Jo, Quoc Viet Hung Nguyen. tist, 15(1), February 2024. [doi]

Budgeted Embedding Table For Recommender SystemsYunke Qu, Tong Chen 0005, Quoc Viet Hung Nguyen, Hongzhi Yin. wsdm 2024: 557-566 [doi]

TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoTYuting Sun, Tong Chen 0005, Quoc Viet Hung Nguyen, Hongzhi Yin. tii, 20(1):824-834, January 2024. [doi]

Variational Counterfactual Prediction Under Runtime Domain CorruptionHechuan Wen, Tong Chen 0005, Li Kheng Chai, Shazia Sadiq 0001, Junbin Gao, Hongzhi Yin. tkde, 36(5):2271-2284, May 2024. [doi]

Self-Supervised Learning for Recommender Systems: A SurveyJunliang Yu, Hongzhi Yin, Xin Xia 0013, Tong Chen 0005, Jundong Li, Zi Huang. tkde, 36(1):335-355, January 2024. [doi]

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for RecommendationJunliang Yu, Xin Xia 0013, Tong Chen 0005, LiZhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin. tkde, 36(2):913-926, February 2024. [doi]

Defense Against Model Extraction Attacks on Recommender SystemsSixiao Zhang, Hongzhi Yin, Hongxu Chen 0002, Cheng Long. wsdm 2024: 949-957 [doi]

Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference AttacksShijie Zhang, Wei Yuan, Hongzhi Yin. tkde, 36(3):987-999, March 2024. [doi]

Multi-Hop Knowledge Graph Reasoning in Few-Shot ScenariosShangfei Zheng, Wei Chen 0070, Weiqing Wang 0001, Pengpeng Zhao, Hongzhi Yin, Lei Zhao 0001. tkde, 36(4):1713-1727, April 2024. [doi]

2023

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation LearningTong Chen 0005, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang 0001, Hao Wang 0005. tkde, 35(2):2103-2117, 2023. [doi]

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction ModelingTong Chen 0005, Hongzhi Yin, Xiangliang Zhang 0001, Zi Huang, Yang Wang, Meng Wang 0001. tnn, 34(8):4345-4358, August 2023. [doi]

Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential RecommendationLei Guo 0008, Jinyu Zhang, Tong Chen 0005, Xinhua Wang 0003, Hongzhi Yin. tkde, 35(7):7397-7411, July 2023. [doi]

Time-Aware Dynamic Graph Embedding for Asynchronous Structural EvolutionYu Yang 0012, Hongzhi Yin, Jiannong Cao 0001, Tong Chen 0005, Quoc Viet Hung Nguyen, Xiaofang Zhou 0001, Lei Chen 0002. tkde, 35(9):9656-9670, September 2023. [doi]

Efficient On-Device Session-Based RecommendationXin Xia 0013, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin. tois, 41(4), October 2023. [doi]

Towards Communication-Efficient Model Updating for On-Device Session-Based RecommendationXin Xia 0013, Junliang Yu, Guandong Xu, Hongzhi Yin. CIKM 2023: 2795-2804 [doi]

Who are the Best Adopters? User Selection Model for Free Trial Item PromotionShiqi Wang 0018, Chongming Gao, Min Gao 0001, Junliang Yu, Zongwei Wang, Hongzhi Yin. tbd, 9(2):746-757, April 2023. [doi]

Special Issue of DASFAA 2023Xin Wang 0030, Maria Luisa Sapino, Wook-Shin Han, Yingxiao Shao, Hongzhi Yin. dase, 8(3):221-222, September 2023. [doi]

HFUL: a hybrid framework for user account linkage across location-aware social networksWei Chen 0070, Weiqing Wang 0001, Hongzhi Yin, Lei Zhao 0001, Xiaofang Zhou 0001. vldb, 32(1):1-22, January 2023. [doi]

Deep MinCut: Learning Node Embeddings by Detecting CommunitiesChi Thang Duong, Thanh-Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen. PR, 134:109126, 2023. [doi]

Local feature-based mutual complexity for pixel-value-ordering reversible data hidingXinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin. sigpro, 204:108833, 2023. [doi]

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information NetworksXinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin. CIKM 2023: 545-555 [doi]

A Multi-strategy-based Pre-training Method for Cold-start RecommendationBowen Hao, Hongzhi Yin, Jing Zhang 0001, Cuiping Li 0001, Hong Chen 0001. tois, 41(2), April 2023. [doi]

Simplifying Graph-based Collaborative Filtering for RecommendationLi He, Xianzhi Wang 0001, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu. wsdm 2023: 60-68 [doi]

Network Alignment With Holistic EmbeddingsThanh Trung Huynh, Chi Thang Duong, Thanh-Tam Nguyen, Tong Van Vinh, Abdul Sattar 0001, Hongzhi Yin, Quoc Viet Hung Nguyen. tkde, 35(2):1881-1894, 2023. [doi]

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User PreferencesMubashir Imran, Hongzhi Yin, Tong Chen 0005, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng 0001. tois, 41(3), 2023. [doi]

DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information NetworksMubashir Imran, Hongzhi Yin, Tong Chen 0005, Zi Huang, Kai Zheng 0001. tkde, 35(4):3645-3657, April 2023. [doi]

Learning Compact Compositional Embeddings via Regularized Pruning for RecommendationXurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin. icdm 2023: 378-387 [doi]

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge GraphYi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin. CIKM 2023: 1617-1626 [doi]

Model-Agnostic Decentralized Collaborative Learning for On-Device POI RecommendationJing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng 0001, Hongzhi Yin. sigir 2023: 423-432 [doi]

Decentralized Collaborative Learning Framework for Next POI RecommendationJing Long, Tong Chen 0005, Quoc Viet Hung Nguyen, Hongzhi Yin. tois, 41(3), 2023. [doi]

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic GraphYadan Luo, Zi Huang, Hongxu Chen, Yang Yang 0002, Hongzhi Yin, Mahsa Baktashmotlagh. tkde, 35(4):3991-4002, April 2023. [doi]

Scalable maximal subgraph mining with backbone-preserving graph convolutionsThanh-Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich 0001, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, Quoc Viet Hung Nguyen. isci, 644:119287, October 2023. [doi]

Detecting rumours with latency guarantees using massive streaming dataThanh-Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen. vldb, 32(2):369-387, March 2023. [doi]

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract)Thanh-Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich 0001, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen. icde 2023: 3791-3792 [doi]

Semi-decentralized Federated Ego Graph Learning for RecommendationLiang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin. WWW 2023: 339-348 [doi]

Continuous Input Embedding Size Search For Recommender SystemsYunke Qu, Tong Chen 0005, Xiangyu Zhao, LiZhen Cui, Kai Zheng 0001, Hongzhi Yin. sigir 2023: 708-717 [doi]

Spatial-temporal meta-path guided explainable crime predictionYuting Sun, Tong Chen 0005, Hongzhi Yin. www, 26(4):2237-2263, July 2023. [doi]

Structure Learning Via Meta-Hyperedge for Dynamic Rumor DetectionXiangguo Sun, Hongzhi Yin, Bo Liu 0004, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen. tkde, 35(9):9128-9139, September 2023. [doi]

Self-Supervised Hypergraph Representation Learning for Sociological AnalysisXiangguo Sun, Hong Cheng 0001, Bo Liu 0004, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin. tkde, 35(11):11860-11871, November 2023. [doi]

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role ContextsHuynh Thanh Trung, Tong Van Vinh, Thanh-Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung. tkde, 35(5):5002-5016, May 2023. [doi]

Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver PairsYuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen 0005, Chunyang Liu. tkde, 35(3):3059-3071, March 2023. [doi]

Efficient Bi-Level Optimization for Recommendation DenoisingZongwei Wang, Min Gao 0001, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin. kdd 2023: 2502-2511 [doi]

KGA: A General Machine Unlearning Framework Based on Knowledge Gap AlignmentLingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin. acl 2023: 13264-13276 [doi]

To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked DataHechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng 0001, Hongzhi Yin. icdm 2023: 1415-1420 [doi]

Knowledge Enhancement for Contrastive Multi-Behavior RecommendationHongrui Xuan, Yi Liu, Bohan Li 0001, Hongzhi Yin. wsdm 2023: 195-203 [doi]

Learning to Distill Graph Neural NetworksCheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin. wsdm 2023: 123-131 [doi]

Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger DistillationGuanhua Ye, Tong Chen 0005, Yawen Li, LiZhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin. titb, 27(11):5249-5259, November 2023. [doi]

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas. tois, 41(4), October 2023. [doi]

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas. tois, 41(3), 2023. [doi]

Causality-guided Graph Learning for Session-based RecommendationDianer Yu, Qian Li, Hongzhi Yin, Guandong Xu. CIKM 2023: 3083-3093 [doi]

Interaction-level Membership Inference Attack Against Federated Recommender SystemsWei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, LiZhen Cui, Tieke He, Hongzhi Yin. WWW 2023: 1053-1062 [doi]

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its CountermeasuresWei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin. sigir 2023: 1690-1699 [doi]

Federated Unlearning for On-Device RecommendationWei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang. wsdm 2023: 393-401 [doi]

Proactive Privacy-preserving Learning for Cross-modal RetrievalPeng-fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang. tois, 41(2), April 2023. [doi]

Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionYufeng Zhang, Weiqing Wang 0001, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao. icde 2023: 381-393 [doi]

AutoML for Deep Recommender Systems: A SurveyRuiqi Zheng, Liang Qu, Bin Cui 0001, Yuhui Shi, Hongzhi Yin. tois, 41(4), October 2023. [doi]

MMKGR: Multi-hop Multi-modal Knowledge Graph ReasoningShangfei Zheng, Weiqing Wang 0001, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao. icde 2023: 96-109 [doi]

DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph ReasoningShangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao. sigir 2023: 1578-1588 [doi]

2022

Accepted Tutorials at The Web Conference 2022Riccardo Tommasini 0001, Senjuti Basu Roy, Xuan Wang 0008, Hongwei Wang, Heng Ji, Jiawei Han 0001, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen 0005, Haochen Liu, Yiqi Wang 0001, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li 0001, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao 0001, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang 0072, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He 0001. WWW 2022: 391-399 [doi]

Introduction to the Special Issue on Intelligent Trajectory Analytics: Part IIKai Zheng 0001, Yong Li 0008, Cyrus Shahabi, Hongzhi Yin. tist, 13(3), 2022. [doi]

Introduction to the Special Issue on Intelligent Trajectory Analytics: Part IKai Zheng 0001, Yong Li 0008, Cyrus Shahabi, Hongzhi Yin. tist, 13(1), 2022. [doi]

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract)Tong Chen 0005, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang 0001, Hao Wang 0005. icde 2022: 1533-1534 [doi]

Hierarchical Hyperedge Embedding-Based Representation Learning for Group RecommendationLei Guo 0008, Hongzhi Yin, Tong Chen 0005, Xiangliang Zhang 0001, Kai Zheng 0001. tois, 40(1), 2022. [doi]

Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to GroupsYan Zhao 0008, Kai Zheng 0001, Hongzhi Yin, Guanfeng Liu 0001, Junhua Fang, Xiaofang Zhou 0001. tkde, 34(7):3461-3477, 2022. [doi]

On-Device Next-Item Recommendation with Self-Supervised Knowledge DistillationXin Xia 0013, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen. sigir 2022: 546-555 [doi]

Deep Pairwise Hashing for Cold-Start RecommendationYan Zhang 0036, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li 0001. tkde, 34(7):3169-3181, 2022. [doi]

Preface - Special Issue on Misinformation on the WebKarl Aberer, Ioannis Katakis, Quoc Viet Hung Nguyen, Hongzhi Yin. is, 103:101867, 2022. [doi]

Thinking inside The Box: Learning Hypercube Representations for Group RecommendationTong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang. sigir 2022: 1664-1673 [doi]

Social Boosted Recommendation With Folded Bipartite Network EmbeddingHongxu Chen, Hongzhi Yin, Tong Chen 0005, Weiqing Wang, Xue Li, Xia Hu. tkde, 34(2):914-926, 2022. [doi]

Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor DataYi Cui, Feifei Bai, Hongzhi Yin, Tong Chen 0005, David Dart, Matthew Zillmann, Ryan K. L. Ko. tsg, 13(6):4957-4960, 2022. [doi]

Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart GridsYi Cui, Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Mehdi Mosadeghy, Hongzhi Yin, Ryan K. L. Ko, Yilu Liu. tsg, 13(2):1658-1661, 2022. [doi]

Reinforced KGs reasoning for explainable sequential recommendationZhihong Cui, Hongxu Chen, LiZhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin. www, 25(2):631-654, 2022. [doi]

Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning ApproachYue Cui, Hao Sun, Yan Zhao 0008, Hongzhi Yin, Kai Zheng 0001. tois, 40(2), 2022. [doi]

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network EmbeddingChi Thang Duong, Thanh-Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen. tkde, 34(11):5307-5320, 2022. [doi]

Self-supervised graph learning for occasional group recommendationBowen Hao, Hongzhi Yin, Cuiping Li 0001, Hong Chen 0001. ijis, 37(12):10880-10902, December 2022. [doi]

Network Alignment with Holistic Embeddings (Extended Abstract)Thanh Trung Huynh, Duong Chi Thang, Thanh-Tam Nguyen, Van Vinh Tong, Abdul Sattar 0001, Hongzhi Yin, Quoc Viet Hung Nguyen. icde 2022: 1509-1510 [doi]

Locality Aware Temporal FMs for Crime PredictionSameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin. CIKM 2022: 4324-4328 [doi]

Model-agnostic and diverse explanations for streaming rumour graphsThanh-Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen. kbs, 253:109438, 2022. [doi]

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional NetworksThanh-Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen. tkde, 34(9):4201-4214, 2022. [doi]

exRumourLens: Auditable Rumour Detection with Multi-View ExplanationsThanh Cong Phan, Thanh-Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen. icde 2022: 3174-3177 [doi]

Switchable Online Knowledge DistillationBiao Qian, Yang Wang 0023, Hongzhi Yin, Richang Hong, Meng Wang 0001. eccv 2022: 449-466 [doi]

Exploiting Positional Information for Session-Based RecommendationRuihong Qiu, Zi Huang, Tong Chen 0005, Hongzhi Yin. tois, 40(2), 2022. [doi]

Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential RecommendationRuihong Qiu, Zi Huang, Hongzhi Yin. icdm 2022: 428-437 [doi]

Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationRuihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang. wsdm 2022: 813-823 [doi]

Single-shot Embedding Dimension Search in Recommender SystemLiang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin. sigir 2022: 513-522 [doi]

Fast-adapting and privacy-preserving federated recommender systemQinyong Wang, Hongzhi Yin, Tong Chen 0005, Junliang Yu, Alexander Zhou, Xiangliang Zhang 0001. vldb, 31(5):877-896, 2022. [doi]

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted GraphsYuandong Wang, Hongzhi Yin, Tong Chen 0005, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu 0007. tist, 13(1), 2022. [doi]

ClusterSCL: Cluster-Aware Supervised Contrastive Learning on GraphsYanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li 0001, Hong Chen. WWW 2022: 1611-1621 [doi]

LECF: recommendation via learnable edge collaborative filteringShitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui 0001. chinaf, 65(1), 2022. [doi]

Personalized On-Device E-Health Analytics With Decentralized Block Coordinate DescentGuanhua Ye, Hongzhi Yin, Tong Chen 0005, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song. titb, 26(6):2778-2786, 2022. [doi]

Overcoming Data Sparsity in Group RecommendationHongzhi Yin, Qinyong Wang, Kai Zheng 0001, Zhixu Li, Xiaofang Zhou 0001. tkde, 34(7):3447-3460, 2022. [doi]

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for RecommendationJunliang Yu, Hongzhi Yin, Xin Xia 0013, Tong Chen 0005, LiZhen Cui, Quoc Viet Hung Nguyen. sigir 2022: 1294-1303 [doi]

Enhancing Social Recommendation With Adversarial Graph Convolutional NetworksJunliang Yu, Hongzhi Yin, Jundong Li, Min Gao 0001, Zi Huang, LiZhen Cui. tkde, 34(8):3727-3739, 2022. [doi]

CIRCLE: continual repair across programming languagesWei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin. ISSTA 2022: 678-690 [doi]

Unified Question Generation with Continual Lifelong LearningWei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, LiZhen Cui. WWW 2022: 871-881 [doi]

Multi-Graph Heterogeneous Interaction Fusion for Social RecommendationChengyuan Zhang, Yang Wang 0023, Lei Zhu 0005, Jiayu Song, Hongzhi Yin. tois, 40(2), 2022. [doi]

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item PromotionShijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, LiZhen Cui. wsdm 2022: 1415-1423 [doi]

Hyperbolic Personalized Tag RecommendationWeibin Zhao, Aoran Zhang, Lin Shang 0001, Yonghong Yu, Li Zhang 0013, Can Wang 0004, Jiajun Chen, Hongzhi Yin. dasfaa 2022: 216-231 [doi]

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