Research

JOURNAL PAPER

2 JOC, 10 TKDE, 3 TEVC, 5 TOIS, 1 TPAMI, 3 TKDD, 3 TSMC, 1 TNNLS, 2 TWEB, 1 TM, 2 JMSE, 1 TIST, 2 TETCI, 1 TITS, 4 TBD, 1 Omega, 1 IMM, 2 DSS, 1 I&M, 1 TEM, 7 IPM, 1 Internet Research, 1 IJF, 1 CHB, 2 Scientometrics, 1 PR, 3 Information Sciences, 1 FCS, 2 ECRA, 3 ESWA, 1 IJSWIS, 2 JCST, 5 计研发, 1 软件学报, 1 管理科学学报, 1 管理工程学报, 2 控制与决策, 1 大数据, 1 KBS, 1 ECR, 1 Big Data Mining and Analytics, 1 小型微型计算机系统, 1 KAIS, 1 Scientific Reports

New[1] Yuhan Su, Hongke Zhao, Chuan Qin, Dazhong Shen, Hengshu Zhu, AI-Driven Skill Keyword Suggestion for Multi-Round Interviews: A Graph-Based Topic Approach, Information Processing and Management (IPM), Accepted, 63(5):104692, 2026. (IF:7.46, JCR Q1, CCF/FMS B)

New[2] Jiahui Wang, Ning Jia, Likang Wu, Hongke Zhao, Le Wu, Align Sequential Collaborative Signals and Text Semantics for Citation Recommendation: A Hybrid Perspective, ACM Transactions on Knowledge Discovery from Data (TKDD), Accepted, 20(3):48, 2026. (IF4.16, JCR Q1, CCF/FMS B)

New[3] Cairui Yan, Xu Cheng, Likang Wu, Yingyuan Xiao, Hongke Zhao, Wenguang Zheng, Bridging the Gap in Cross-Domain Graph Anomaly Detection: Enhanced Source Utilization and Label Accuracy, Information Processing and Management (IPM), Accepted, 63(5):104678, 2026. (IF:7.46, JCR Q1, CCF/FMS B)

New[4] Nan Feng, Jiaqi Li, Hongke Zhao, Longjun Zhao, Minqiang Li, Anomaly Detection in Industrial Internet of Things: A Graph Learning Approach with Spatio-temporal Interactions, IEEE Transactions on Engineering Management (IEEE TEM), Accepted, 73:1753-1768, 2026. (IF:5.2, JCR Q2, ABS 3)

New[5] Meikai Bao, Kai Zhang, Xukai Liu, Qi Liu, Hongke Zhao, Enhong Chen, Learn to Understanding: Knowledge Exemplification via Multi-Agent Cooperation for Science Question Answering, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Accepted, 38(4):2313-2325, 2026. (IF:8.9, JCR Q1, CCF A)

[6] Hongke Zhao, Zhichen Xiang, Likang Wu, Beyond Popularity Bias in E-commerce: Aligning Collaborative Knowledge with Large Language Models via Causal Intervention for Robust Recommendations, Decision Support Systems (DSS), Accepted, 202:114599, 2026. (ABS 3, FMS B)

[7] 金宗瀚, 吴李康, 刘玉祥, 何明, 赵洪科, 基于知识增强的智能体复杂任务分解方法, 控制与决策, Accepted, 2026. (中文核心, FMS T1)

[8] Yaxian Wang, Minhao Gu, Baofeng Huo, Hongke Zhao, Crowdfunding mechanism comparison based on backers' ambiguity effect and herding effect, Information & Management, Published, 63:104265, 2026. (ABS 3)

[9] Wenhui Liu, Likang Wu, Hongke Zhao, Improving Sentiment Analysis in Tourism through LLM-Enhanced Irony Detection, Tourism Management (TM), 112:105272, 2026. (JCR Q1, ABS 4, FMS A类期刊, IF:12.4)

[10] Jiayu Liu, Zhenya Huang, Enhong Chen, Qi Liu, Hongke Zhao, Xin Lin, Jing Sha, Shijin Wang, Enhancing Mathematical Reasoning through Autonomously Learning Knowledge, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), Accepted, 48(3):3100-3118, 2025. (CCF A类期刊)

[11] Hongke Zhao, Chuang Zhao, Yong Ge, Runze Wu, Rational or Emotional? Next-item Recommendations in Virtual Games via Disentangling Players' Needs, INFORMS Journal on Computing (JOC), Accepted, 2025. (UTD24)

[12] Kai Zhang, Zhihong Pan, Lei Yu, Qi Liu, Hongke Zhao, Chaochao Chen, Enhong Chen, SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation, ACM Transactions on Information Systems (ACM TOIS), Accepted, 44(2):32, 2025. (CCF A)

[13] Lei Zhang, Zihao Chen, Wuji Zhang, Hongke Zhao, Likang Wu, GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Published, 37(12): 7199-7212, 2025. (IF:8.9, JCR Q1, CCF A)

[14] Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He, Jianping Fan, GANPrompt: Improving LLM-Based Recommendations with GAN-Enhanced Diversity Prompts, ACM Transactions on Information Systems (ACM TOIS), Accepted, 44(1):22, 2025. (CCF A)

[15] Lei Zhang, Meng Zhu, Yuanyuan Ge, Haipeng Yang, Likang Wu, Hongke Zhao, Multi-Party Multi-Objective Optimization for Discrete Problems: A Case Study on Multi-Stakeholder Recommendation, IEEE Transactions on Evolutionary Computation (IEEE TEVC), Conditional Accept, 2025. (IF:11.169, ABS 4)

[16] Yuanyuan Ge, Likang Wu, Haipeng Yang, Fan Cheng, Hongke Zhao, Lei Zhang, MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models, IEEE Transactions on Evolutionary Computation (IEEE TEVC), Accepted, 2025. (IF:11.169, ABS 4)

[17] Hongke Zhao, Wenhui Liu, Yaxian Wang, Likang Wu, Comparative Analysis of Algorithmic Approaches in Ensemble Learning: Bagging vs. Boosting, Scientific Reports, Accepted, 2025.

[18] Xuguang Li, Zhonglin Zuo, Zheng Dong, Hongke Zhao(赵洪科), Luanfei Wan, Hongfang Cheng, Multi-resolution leak detection based on shared expert MoE forecasting for natural gas pipelines, Information Processing and Management (IPM), Accepted, 2025. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

[19] Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li, Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 37(9):5017-5033, 2025. (IF:6.97, JCR Q1, CCF A类期刊)

[20] Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan, Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Contrastive Learning, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 37(9):5188-5200, 2025. (IF:6.97, JCR Q1, CCF A类期刊)

[21] Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan, Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach, ACM Transactions on the Web (ACM TWEB), Accepted, 2025. (CCF B类期刊)

[22] Hongke Zhao, Yaxian Wang, Hao Wei, How signal intensity of altruistic and strategic motivation affects crowdfunding performance? Matching among funders and platform types, Electronic Commerce Research and Applications (ECRA), 73:101528, 2025. (IF:6.3, SCI/SSCI Q2)

[23] Keran Duan, Zhe Wang, Xi Zhang, Hongke Zhao, Yaqian Liu, Deeds Not Words: The Impact of Past Satisfaction and Behavior on Knowledge Cross-buying Intention on Online Course Platforms, Electronic Commerce Research (ECR), Accepted, 2025. (FMS C类期刊)

[24] Rongxiao Huang, Zhiyong Zhang, Bing Lv, Hongke Zhao, Conflicts and optimization of multiple promotions combinations for merchants, Expert Systems with Applications (ESWA), 291:128455, 2025.

[25] Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li, Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights, ACM Transactions on Information Systems (ACM TOIS), 43(4):107, 2025, 2025. (CCF A类期刊)

[26] Lei Zhang, Wuji Zhang, Likang Wu, Hongke Zhao, GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 37(7):4075-4088, 2025, 2025. (IF:6.97, JCR Q1, CCF A类期刊)

[27] Lei Zhang, Mingren Ke, Likang Wu, Wuji Zhang, Zihao Chen, Hongke Zhao, Multi-Objective Graph Contrastive Learning for Recommendation, IEEE Transactions on Big Data (IEEE TBD), Accepted, 11(5):2696-2709, 2025. (CCF C类期刊)

[28] Hongke Zhao, Yuanpei Sui, Likang Wu, Exploring the interpretability of vision GCN with a multi-method approach, Expert Systems with Applications (ESWA), 127624, 2025. (FMS C类期刊)

[29] Dehu Yin, Xi Zhang, Hongke Zhao, Li Tang, Predicting scholar potential: a deep learning model on social capital features, Scientometrics, 129:7851–7879, 2025. (FMS B类期刊)

[30] Junji Jiang, Likang Wu, Zhipeng Hu, Runze Wu, Xudong Shen, Hongke Zhao, Knowledge Enhanced Graph Contrastive Learning for Match Outcome Prediction, Information Processing and Management (IPM), 62(3), 104010, 2025. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

[31] Jun Wang, Likang Wu, Qi Liu, Yu Yang, An efficient continuous control perspective for reinforcement-learning-based sequential recommendation, Knowledge-Based Systems (KBS), Accepted, 2025.

[32] Hongke Zhao, Qiantong Ye, Zhiyong Zhang, Kai Zhang, Zhenya Huang, 低碳神经网络算法：压缩和加速技术的发展与应用, 控制与决策, 40(5):1409-1428, 2024. (中文核心, FMS T1类期刊)

[33] Bing Lv, Junji Jiang, Likang Wu, Hongke Zhao, Team formation in large organizations: A deep reinforcement learning approach, Decision Support Systems (DSS), 187:114343, 2024. (ABS 3, FMS B类期刊)

[34] Minmao Wang, Hongke Zhao, Likang Wu, Zhixian Jiao, Zhenya Huang, 语言模型增强的引文网络连边因子挖掘, 大数据, 11(2):91-106, 2024. (CCF T2类期刊)

[35] Liao Chen, Ning Jia, Zhixian Jiao, Hongke Zhao, Runbang Cui, Huimin Wang, A Semi-supervised Reject Inference Framework with Hierarchical Heterogeneous Networks for Credit Scoring, International Journal of Forecasting, Accepted, 2024. (ABS 3)

[36] Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong, Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC: Systems), 54(9):5283-5295, 2024. (IF:13.451, ABS 3)

[37] Lei Zhang, Sibo Liu, Haipeng Yang, Zihao Chen, Hongke Zhao, MOREM: An Evolutionary Multitasking Optimization Algorithm for Multi-Objective Recommendations, Information Sciences, 678:120921, 2024. (IF:8.1, JCR Q1, CCF B类期刊)

[38] Likang Wu, Zhi Li, Hongke Zhao, Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen, Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Accepted, 2024. (CCF A类期刊)

[39] Yaxian Wang, Hongke Zhao, Baofeng Huo, Chunli Liu, 亲社会众筹平台上第三方认证对支持者的财务动机和利他动机的影响, 管理科学学报, Accepted, 2024. (中文核心, FMS T1类期刊)

[40] Lei Zhang, Huabin Zhang, Zihao Chen, Sibo Liu, Haipeng Yang, Hongke Zhao, A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations, IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 8(2), 1969-1982, 2024.

[41] Xi Zhang, Dehu Yin, Li Tang, Hongke Zhao, Does academic engagement with industry come at a cost for early career scientists? Evidence from high-tech enterprises’ Ph.D. funding programs, Information Processing and Management (IPM), 61(3): 103669, 2024. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

[42] Zhiyong Zhang, Hongke Zhao, Baofeng Huo, Ming He, Free trial or no free trial: optimal operation of electronic physical product with positive and negative network effects, Omega: The International Journal of Management Science (Omega), 125:103022, 2024. (ABS 3)

[43] Han Wu, Guanqi Zhu, Qi Liu, Hao Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Hui Xiong, Enhong Chen, A Multi-aspect Neural Tensor Factorization Framework for Patent Litigation Prediction, IEEE Transactions on Big Data (IEEE TBD), 10(1): 35-54, 2024. (CCF C类期刊)

[44] Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang, Learning Relation-Enhanced Hierarchical Solver for Math Word Problems, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 35(10): 13830-13844, 2024. (IF 14.25, CCF B类期刊)

[45] Qingyang Mao, Zhi Li, Likang Wu, Qi Liu, Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-shot Learning Paradigm, ACM Transactions on Knowledge Discovery from Data (TKDD), 19(1), 1-26, 2024. (IF4.16, JCR Q1, CCF/FMS B类期刊)

[46] Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen, Caption matters: a new perspective for knowledge-based visual question answering, Knowledge and Information Systems (KAIS), 66(11), 6975-7003, 2024. (IF2.6)

[47] Ping Ni, Xianquan Wang, Bing Lv, Likang Wu, GTR: An Explainable Graph Topic-Aware Recommender for Scholarly Document, Electronic Commerce Research and Applications (ECRA), 101439, 2024.

[48] Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li, Enhancing Precision Drug Recommendations via In-depth Exploration of Motif Relationships, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Accepted, 2023. (IF:6.97, JCR Q1, CCF A类期刊)

[49] Chuang Zhao, Hongke Zhao, Xiaomeng Li, Ming He, Jiahui Wang, Jianping Fan, Cross-Domain Recommendation via Progressive Structural Alignment, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 36(6):2401-2415, 2024, 2023. (IF:6.97, JCR Q1, CCF A类期刊)

[50] Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, An Ensemble Learning Approach with Gradient Resampling for Class-imbalance Problems, INFORMS Journal on Computing (JOC), 35(4):747-763, 2023. (UTD24)

[51] Jiahui Wang, Likang Wu, Hongke Zhao, Ning Jia, Multi-View Enhanced Zero-Shot Node Classification, Information Processing and Management (IPM), 60(6), 103479, 2023. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

[52] Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao, SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-Behavior Prediction, ACM Transactions on the Web (ACM TWEB), 18(1): 4:1-4:27, 2023. (CCF B类期刊)

[53] Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen, A General Tail Item Representation Enhancement Framework for Sequential Recommendation, Frontiers of Computer Science (FCS), 18(6): 186333, 2023. (CCF B类期刊)

[54] Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang, What is Market Talking about? Market-oriented Prospect Analysis for Entrepreneur Fundraising, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 35(6): 6489-6503, 2023. (IF:6.97, JCR Q1, CCF A类期刊)

[55] Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen, Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks, ACM Transactions on Knowledge Discovery from Data (TKDD), 17(8):1-23, 2023. (IF4.16, JCR Q1, CCF/FMS B类期刊)

[56] Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang, Forecasting movements of stock time series based on hidden state guided deep learning approach, Information Processing and Management (IPM), 60(3), 103328, 2023. (IF:7.46, JCR Q1, CCF/FMS B类期刊, ESI高被引论文)

[57] Lei Zhang, Huabin Zhang, Sibo Liu, Chao Wang, Hongke Zhao, A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations, IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 7(5):1470-1483, 2023.

[58] Hongke Zhao, Qixuan Zhou, Dehu Yin, Xi Zhang, Lixue Ren, Chunli Liu, 众筹项目筹资绩效的信息影响机制研究：基于Indiegogo平台证据, 管理工程学报, 37(06), 145-156, 2023, 2023. (中文核心, FMS T1类期刊)

[59] Xi Zhang, Yihang Cheng, Juan Liu, Hongke Zhao, Dongming Xu, Yulong Li, Lender Retention of Online Prosocial Lending: A Self-Determination Perspective, Internet Research, 33(3), 1079-1113, 2023. (ABS 3)

[60] Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen, Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation, ACM Transactions on Information Systems (ACM TOIS), 41(2): 1-29, 2023. (CCF A类期刊)

[61] Changlin Li, Shuai Ling, Honglei Zhang, Hongke Zhao, Lishan Liu, Ning Jia, A Sequence and Network Embedding Method for Bus Arrival Time Prediction using GPS Trajectory Data Only, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 24(5), 5024-5038, 2023. (CCF B类期刊)

[62] Ming He, Yan Chen, Hongke Zhao, Yu Cui, Le Wu, Qi Liu, Guihua Zeng, Guiquan Liu, Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry, Journal of Computer Science and Technology (JCST), 38(6): 1272-1287, 2023. (CCF B类期刊)

[63] Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Minghao Zhao, Changjie Fan, Hongke Zhao, Personalized Customer Lifetime Value Prediction in Online Games, ACM Transactions on Information Systems (ACM TOIS), 41(1), 1-29, 2023. (CCF A类期刊)

[64] Liao Chen, Ning Jia, Hongke Zhao, Yanzhe Kang, Jiang Deng, Shoufeng Ma, Refined Analysis and a Hierarchical Multi-task Learning Approach for Loan Fraud Detection, Journal of Management Science and Engineering (JMSE), 7(4), 589-607, 2022. (FMS B类期刊)

[65] Hongke Zhao, Xinpeng Wu, Chuang Zhao, Lei Zhang, Haiping Ma, Fan Cheng, CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations, IEEE Transactions on Evolutionary Computation (IEEE TEVC), 26(1), 28-42, 2022. (IF:11.169, ABS 4)

[66] Hongke Zhao, Xiaopei Liu, Xi Zhang, Yinyue Wei, Chunli Liu, The Effects of Person-Organization Fit on Lending Behaviors: Empirical Evidence from Kiva.org, Journal of Management Science and Engineering (JMSE), 7(1), 133-145, 2022. (FMS B类期刊)

[67] Xi Zhang, Xiaopei Liu, Xianhai Wang, Hongke Zhao, Wei Zhang, Exploring the Effects of Social Capital on Crowdfunding Performance: A Holistic Analysis from the Empirical and Predictive Views, Computers in Human Behavior (CHB), 126, 2022. (SSCI, JCR Q1, ABS 3, FMS B类期刊)

[68] Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen, Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective, Pattern Recognition, 121: 108204, 2022. (CCF B类期刊)

[69] Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu, Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective, Big Data Mining and Analytics, 5 (1), 64-78, 2022.

[70] Lei Zhang, Xinpeng Wu, Hongke Zhao, Fan Cheng, Qi Liu, Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective, IEEE Transactions on Big Data (IEEE TBD), 8(114):1141-1154, 2022.

[71] Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu, Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC: Systems), 51(5), 3068-3079, 2021. (IF:13.451, ABS 3)

[72] Yihang Cheng, Xi Zhang, Xiaojiong Wang, Hongke Zhao, Yao Yu, Xianhai Wang, Rethinking the Development of Technology Enhanced Learning and the Role of Cognitive Computing, International Journal on Semantic Web and Information Systems (IJSWIS), 17(1): 67-96, 2021. (CCF C类期刊)

[73] Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu, Dual-Stream Generative Adversarial Networks for Distributionally Robust Zero-Shot Learning, Information Sciences, 519:407-422, 2020. (IF:4.832, JCR Q1, CCF B类期刊)

[74] Xi Zhang, Keran Duan, Hongke Zhao, Yuqing Zhao, Xuyan Wang, Patricia Ordóñez de Pablos, Can Cooperation Drive the Success of Suppliers in B2B Crowdsourcing Innovation Projects? A Large Scale Data Perspective, Industrial Marketing Management (IMM), 90: 570-580, 2020. (SSCI, IF:4.779, JCR Q1, ABS 3)

[75] Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu, Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 32(8): 1652-1665, 2020. (IF:6.97, JCR Q1, CCF A类期刊)

[76] 张凯, Hongke Zhao, 刘淇, 潘镇, 陈恩红, 基于动静态表征的众筹协同预测方法, 软件学报, 2020, 31(4): 967-980, 2020. (获中国机器学习会议（CCML 2019）“最佳学生论文奖”, 中文核心, CCF A类期刊)

[77] 陈彦敏, 王皓, 马建辉, 杜东舫, Hongke Zhao, 基于层级注意力机制的互联网用户信用评估框架, 计算机研究与发展, 2020, 57(8): 1755-1768, 2020. (中文核心, CCF A类期刊)

[78] Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Product Supply Optimization for Crowdfunding Campaigns, IEEE Transactions on Big Data (IEEE TBD), 6(4):741-756, 2020. (Spotlight on Transactions)

[79] Xi Zhang, Xianhai Wang, Hongke Zhao, Patricia Ordóñez de Pablos, Yongqiang Sun, Hui Xiong, An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications, Scientometrics, 119: 1311-1344, 2019. (SSCI Q1, IF:2.173, ABS 2)

[80] Lisheng Qiao, Hongke Zhao, Xiaohui Huang, Kai Li, Enhong Chen, A Structure-Enriched Neural Network for Network Embedding, Expert Systems with Applications (ESWA), 117(3):300-311, 2019.

[81] 刘欢, 郑庆华, 罗敏楠, Hongke Zhao, 肖阳, 吕彦章, 基于跨域对抗学习的零样本分类, 计算机研究与发展, 2019, 56(12): 2521-2535, 2019. (中文核心, CCF A类期刊)

[82] Hongke Zhao, 吴李康, 李徵, 张兮, 刘淇, 陈恩红, 基于深度神经网络结构的互联网金融市场动态预测, 计算机研究与发展, 2019, 56(8): 1621-1631, 2019. (中文核心, CCF A类期刊, 入选计算机研究与发展2019年发表论文“高被引TOP10”)

[83] 于润龙, Hongke Zhao, 汪中, 叶雨扬, 张培宁, 刘淇, 陈恩红, 实值优化问题的非对称负相关搜索算法, 计算机研究与发展, 2019, 56(8): 1746-1757, 2019. (中文核心, CCF A类期刊)

[84] Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du, A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC: Systems), 48(1):21-33, 2018. (IF:13.451, JCR Q2, ABS 3)

[85] Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang, Finding Potential Lenders in P2P Lending: A Hybrid Random Walk Approach, Information Sciences, 432(2018)376-391, 2018. (IF:4.832, JCR Q1, CCF B类期刊)

[86] Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen, Illuminating Recommendation by Understanding the Explicit Item Relations, Journal of Computer Science and Technology (JCST), 33(4):739-755, 2018. (CCF B类期刊)

[87] Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang, P2P Lending Survey: Platforms, Recent Advances and Prospects, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 8(6):1-28, 2017. (IF:9.1, JCR Q1)

[88] 曾宪宇, 刘淇, Hongke Zhao, 徐童, 王怡君, 陈恩红, 用户在线购买预测:一种基于用户操作序列和选择模型的方法, 计算机研究与发展, 53 (8), 1673-1683, 2016. (中文核心, CCF A类期刊)

[89] 张钰, 吕冰, 陈春燕, Hongke Zhao, 刘玉文, 网络小额贷款平台产品多维度分析与全局推荐, 小型微型计算机系统, 37 (2), 308-311, 2016. (中文核心, CCF B类期刊)

CONFERENCE PAPER

11 KDD, 14 AAAI, 5 IJCAI, 1 ICML, 5 WWW, 2 ACL, 1 EMNLP, 3 SIGIR, 4 CIKM, 3 WSDM, 3 ICDM, 3 DASFAA, 1 IJCNN, 1 CEC, 1 WI, 1 ICIS, 1 PACIS, 1 CINT

[1] Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang, Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations, In Proceedings of the ACM Web Conference 2026 (WWW '26), Accepted, 2026. (CCF A)

[2] Jiale Huang, Yinyuan Xiao, Likang Wu, Xu Cheng, Yuanguang Zheng, Qingbo Hao, Ming He, Hongke Zhao, Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation, In Proceedings of the ACM Web Conference 2026 (WWW '26), Accepted, 2026. (CCF A)

[3] Minmao Wang, Rui Zhang, Shijie Yi, Qingpeng Cai, Likang Wu, Hongke Zhao, Fei Pan, Peng Jiang, TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction, In Proceedings of the 19-th International Conference on Web Search and Data Mining (WSDM’26), Boise, Idaho, USA, Accepted, 724-734, 2026. (CCF B, WSDM2026 Best Full Research Paper Runner-up)

[4] Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li, Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness, In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Toronto, Canada, Accepted, 2025. (CCF A类会议)

[5] Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan, Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data, Forty-Second International Conference on Machine Learning (ICML'25), Vancouver, Canada, Accepted, 2025. (CCF A类会议)

[6] Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng, Multi-View Empowered Structural Graph Wordification for Language Models, 39th AAAI Conference on Artificial Intelligence (AAAI'25) Philadelphia, Pennsylvania, USA, 39(23), 24714-24722, 2025. (CCF A类会议)

[7] Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao, Xin Li, Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning, 39th AAAI Conference on Artificial Intelligence (AAAI'25) Philadelphia, Pennsylvania, USA, 39(23), 24821-24830, 2025. (CCF A类会议)

[8] Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su, Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective., In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Accepted, 2025. (CCF A类会议)

[9] Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan, Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction, North American Association of Computational Linguistics(NAACL), Accepted, 2025. (CCF B类会议)

[10] Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu, Enhancing Code Search Intent with Programming Context Exploration, In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM'25), Hannover, Germany, 596-605, 2024. (CCF B类会议)

[11] Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen, FZR:Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning, In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM’24), 497-507, 2024. (CCF B类会议)

[12] Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan, Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems, In Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and AI for Management (KDD'24), 3507-3517, 2024. (CCF A类会议)

[13] Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen, A survey on large language models for recommendation, ACM Web Conference 2024 (WWW’24), 27(5), 60, 2024. (CCF A类会议)

[14] Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hu Feng, Yu Su, Qi Liu, I-AM-G: Interest Augmented Multimodal Generator for Item Personalization, In Findings of the Association for Computational Linguistics: EMNLP, 21303-21317, 2024. (CCF B类会议)

[15] Runqi Yang, Liu Yu, Zhi Li, Shaohui Li, Likang Wu, Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective, In 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, 1-9, 2024. (CCF B类会议)

[16] Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Zheng Zhang, Bing Lv, Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation, The 47th international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’24), 2352-2356, 2024. (CCF A类会议)

[17] Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen, Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI '24), Accepted, 38(8), 9178-9186, 2024. (CCF A类会议)

[18] Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan, Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation, In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), 965–975, 2023. (CCF B类会议)

[19] Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan, Sequential recommendation via an adaptive cross-domain knowledge decomposition, In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), 3453–3463, 2023. (CCF B类会议)

[20] Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen, Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation, In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and AI for Management (KDD'23), 2618-2628, 2023. (CCF A类会议)

[21] Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification, In Proceedings of the 32th International Joint Conference on Artificial Intelligence (IJCAI'23), 2361-2369, 2023. (CCF A类会议)

[22] Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan, Cross-domain recommendation via user interest alignment, ACM Web Conference 2023 (WWW’23), 887-896, 2023. (CCF A类会议)

[23] Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Lei Yu, Zaixi Zhang, Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI '23), 4854-4863, 2023. (CCF A类会议)

[24] Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen, APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '2023), 3009-3019, 2023. (CCF B类会议)

[25] Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation, Proceedings of the Database Systems for Advanced Applications (DASFAA '23), 286-296, 2023. (CCF B类会议)

[26] Dehu Yin, Xi Zhang, Hongke Zhao, Understanding and predicting innovative potential of scholars based on deep learning method, The annual Pacific Asia Conference on Information Systems (PACIS’22), 219, 2022.

[27] Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma, Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction, The 45th international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’22), 2704-2708, 2022. (CCF A类会议)

[28] Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen, Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis, Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL’22), 3599-3610, 2022. (CCF A类会议)

[29] Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen, Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games, ACM Web Conference 2022 (WWW’22), 2387-3395, 2022. (CCF A类会议)

[30] Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan, Multi Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-task Learning Approach, 36th AAAI Conference on Artificial Intelligence (AAAI'22), 4371-4378, 2022. (CCF A类会议)

[31] Lei Zhang, Xiang Wang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu, Co-Promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach, 36th AAAI Conference on Artificial Intelligence (AAAI'22), 9040-9047, 2022. (CCF A类会议)

[32] Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu, Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction, In Proceedings of the 15th International Conference on Web Search and Data Mining (WSDM’22), 353–362, 2022. (CCF B类会议，入选WSDM2022 the Best-ranked Papers)

[33] Zhikang Mo, Qixiang Shao, Likang Wu, Runlong Yu, Qi Liu, J Xu, Hongmei Song, Enhong Chen, TGNN: A GNN-Based Method with Multi-entity Node for Personal Banking Time Prediction, Proceedings of the Conference on Information Technology and Nanotechnology (CINT '22), 68-79, 2022.

[34] Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Senchao Yuan, Enhong Chen, LawyerPAN: A Proficiency Assessment Network for Trial Lawyers, In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21), 5-13, 2021. (CCF A类会议)

[35] Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen, Preference-Adaptive Meta-Learning for Cold-Start Recommendation, In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), 1607-1614, 2021. (CCF A类会议)

[36] Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen, Coupling Macro-Sector-Micro Factors on Learning Stock Representation with Less Uncertainty, 35th AAAI Conference on Artificial Intelligence (AAAI'21), 4418-4426, 2021. (CCF A类会议)

[37] Xin Lin, Zhenya Huang, Hongke Zhao, Hao Wang, Enhong Chen, HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem, 35th AAAI Conference on Artificial Intelligence (AAAI'21), 4232-4240, 2021. (CCF A类会议)

[38] Likang Wu, Zhi Li, Hongke Zhao, Jun Wang, Qi Liu, Enhong Chen, Learning the Implicit Semantic Representation on Graph-Structured Data, 26th International Conference on Database Systems for Advanced Applications (DASFAA’21), 3-19, 2021. (CCF B类会议)

[39] Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21), 2156-2160, 2021. (CCF A类会议)

[40] Xin Wei, Wei He, Chuang Zhao, Xi Zhang, Hongke Zhao, A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms, In the Forty-First International Conference on Information Systems (ICIS’20), Accepted, 2020.

[41] Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei, Learning the Compositional Visual Coherence for Complementary Recommendations, In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 3536-3543, 2020. (CCF A类会议)

[42] Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu, Adaptive Quantitative Trading: an Imitative Deep Reinforcement Learning Approach, In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI'20), 2128-2135, 2020. (CCF A类会议)

[43] Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen, Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model, In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI'20), 6396-6403, 2020. (CCF A类会议)

[44] Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen, Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering, In Proceedings of the 19th International Conference on Data Mining (ICDM’19), 1000-1005, 2019. (CCF B类会议)

[45] Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang, Exploiting Cognitive Structure for Adaptive Learning, In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19), 627-635, 2019. (CCF A类会议)

[46] Lei Zhang, Xin Zhang, Fan Cheng, Xiaoyan Sun, Hongke Zhao, Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach, IEEE Congress on Evolutionary Computation (CEC’19), 3316-3324, 2019.

[47] Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge, Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), 4023-4030, 2019. (CCF A类会议)

[48] Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu, A Radical-aware Attention-based Model for Chinese Text Classification, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), 5125-5132, 2019. (CCF A类会议)

[49] Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen, Interactive Attention Transfer Network for Cross-domain Sentiment Classification, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), 5773-5780, 2019. (CCF A类会议)

[50] Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Qi Liu, Enhong Chen, Long-term Joint Scheduling for Urban Traffic, KDD CUP 2019, Regular Machine Learning track, Accepted, 2019.

[51] Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen, Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors, In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’18), 1734-1743, 2018. (CCF A类会议)

[52] Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du, Patent Litigation Prediction: A Convolutional Tensor Factorization Approach, In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), 5052-5059, 2018. (CCF A类会议)

[53] Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu, Tracking the Dynamics in Crowdfunding, In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’17), 625-634, 2017. (CCF A类会议)

[54] Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao, Prospecting the Career Development of Talents: A Survival Analysis Perspective, In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’17), 917-925, 2017. (CCF A类会议)

[55] Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, In Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI’17), 695-702, 2017. (CCF A类会议)

[56] Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu, Question Difficulty Prediction for READING Problems in Standard Tests, In Proceedings of 31th AAAI Conference on Artificial Intelligence (AAAI’17), 1352-1359, 2017. (CCF A类会议)

[57] Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-objective Perspective, In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’16), 2075-2084, 2016. (CCF A类会议)

[58] Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen, Group Preference Aggregation: A Nash Equilibrium Approach, In Proceedings of the 16th IEEE International Conference on Data Mining (ICDM’16), 679-688, 2016. (CCF B类会议)

[59] Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao, Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective, In Proceedings of the 21st International Conference on Database Systems for Advanced Applications (DASFAA’16), 258-273, 2016. (CCF B类会议)

[60] Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen, Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management, In Proceedings of the 14th International Conference on Data Mining (ICDM’14), 1109-1114, 2014. (CCF B类会议)

[61] Yi Cai, Hongke Zhao, Hao Han, Raymond YK Lau, Ho-Fung Leung, Huaqing Min, Answering typicality query based on automatically prototype construction, In Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI’12), 362-366, 2012.

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