Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. - Hongke Zhao; Le Wu; Qi Liu 003; Yong Ge; Enhong Chen (ICDM, 2014)

Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. - Yan Zhu 010; Hengshu Zhu; Qi Liu 003; Enhong Chen; Hong Li; Hongke Zhao (DASFAA (1), 2016)

Group Preference Aggregation: A Nash Equilibrium Approach. - Hongke Zhao; Qi Liu 003; Yong Ge; Ruoyan Kong; Enhong Chen (ICDM, 2016)

Portfolio Selections in P2P Lending: A Multi-Objective Perspective. - Hongke Zhao; Qi Liu 003; Guifeng Wang; Yong Ge; Enhong Chen (KDD, 2016)

Question Difficulty Prediction for READING Problems in Standard Tests. - Zhenya Huang; Qi Liu 003; Enhong Chen; Hongke Zhao; Mingyong Gao; Si Wei; Yu Su 002; Guoping Hu (AAAI, 2017)

Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective. - Qi Liu 003; Guifeng Wang; Hongke Zhao; Chuanren Liu; Tong Xu 001; Enhong Chen (IJCAI, 2017)

Prospecting the Career Development of Talents: A Survival Analysis Perspective. - Huayu Li; Yong Ge; Hengshu Zhu; Hui Xiong 001; Hongke Zhao (KDD, 2017)

Tracking the Dynamics in Crowdfunding. - Hongke Zhao; Hefu Zhang; Yong Ge; Qi Liu 003; Enhong Chen; Huayu Li; Le Wu (KDD, 2017)

P2P Lending Survey: Platforms, Recent Advances and Prospects. - Hongke Zhao; Yong Ge; Qi Liu 003; Guifeng Wang; Enhong Chen; Hefu Zhang (ACM Trans. Intell. Syst. Technol., 2017)

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. - Qi Liu 003; Han Wu 002; Yuyang Ye 002; Hongke Zhao; Chuanren Liu; Dongfang Du (IJCAI, 2018)

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. - Zhi Li 057; Hongke Zhao; Qi Liu 003; Zhenya Huang; Tao Mei 001; Enhong Chen (KDD, 2018)

Finding potential lenders in P2P lending: A Hybrid Random Walk Approach. - Hefu Zhang; Hongke Zhao; Qi Liu 003; Tong Xu 001; Enhong Chen; Xunpeng Huang (Inf. Sci., 2018)

Illuminating Recommendation by Understanding the Explicit Item Relations. - Qi Liu 003; Hongke Zhao; Le Wu; Zhi Li 057; En-Hong Chen (J. Comput. Sci. Technol., 2018)

A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. - Hongke Zhao; Qi Liu 003; Hengshu Zhu; Yong Ge; Enhong Chen; Yan Zhu 010; Junping Du 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. - Binbin Jin; Hongke Zhao; Enhong Chen; Qi Liu 003; Yong Ge (AAAI, 2019)

A Radical-Aware Attention-Based Model for Chinese Text Classification. - Hanqing Tao; Shiwei Tong; Hongke Zhao; Tong Xu 001; Binbin Jin; Qi Liu 003 (AAAI, 2019)

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. - Kai Zhang 038; Hefu Zhang; Qi Liu 003; Hongke Zhao; Hengshu Zhu; Enhong Chen (AAAI, 2019)

Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach. - Lei Zhang 060; Xin Zhang; Fan Cheng 001; Xiaoyan Sun 002; Hongke Zhao (CEC, 2019)

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. - Mingyue Cheng; Runlong Yu; Qi Liu 003; Vincent W. Zheng; Hongke Zhao; Hefu Zhang; Enhong Chen (ICDM, 2019)

Exploiting Cognitive Structure for Adaptive Learning. - Qi Liu 003; Shiwei Tong; Chuanren Liu; Hongke Zhao; Enhong Chen; Haiping Ma; Shijin Wang 001 (KDD, 2019)

A Structure-Enriched Neural Network for network embedding. - Lisheng Qiao; Hongke Zhao; Xiaohui Huang; Kai Li; Enhong Chen (Expert Syst. Appl., 2019)

An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications. - Xi Zhang 009; Xianhai Wang; Hongke Zhao; Patricia Ordóñez de Pablos; Yongqiang Sun; Hui Xiong 001 (Scientometrics, 2019)

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. - Yang Liu 278; Qi Liu 003; Hongke Zhao; Zhen Pan; Chuanren Liu (AAAI, 2020)

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhen Pan; Qi Liu 003; Enhong Chen (AAAI, 2020)

A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms. - Xin Wei; Wei He; Xi Zhang 009; Chuang Zhao 002; Hongke Zhao (ICIS, 2020)

Learning the Compositional Visual Coherence for Complementary Recommendations. - Zhi Li 057; Bo Wu 018; Qi Liu 003; Likang Wu; Hongke Zhao; Tao Mei 001 (IJCAI, 2020)

A Dynamic and Cooperative Tracking System for Crowdfunding. - Kai Zhang 038; Hongke Zhao; Qi Liu 003; Zhen Pan; Enhong Chen (CoRR, 2020)

Dual-stream generative adversarial networks for distributionally robust zero-shot learning. - Huan Liu 012; Lina Yao 001; Qinghua Zheng; Minnan Luo; Hongke Zhao; Yanzhang Lyu (Inf. Sci., 2020)

Identification of Apple Tree Leaf Diseases Based on Deep Learning Models. - Xiaofei Chao; Guoying Sun; Hongke Zhao; Min Li; Dongjian He (Symmetry, 2020)

Product Supply Optimization for Crowdfunding Campaigns. - Guifeng Wang; Qi Liu 003; Hongke Zhao; Chuanren Liu; Tong Xu 001; Enhong Chen (IEEE Trans. Big Data, 2020)

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. - Hongke Zhao; Binbin Jin; Qi Liu 003; Yong Ge; Enhong Chen; Xi Zhang 009; Tong Xu 001 (IEEE Trans. Knowl. Data Eng., 2020)

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. - Xin Lin 005; Zhenya Huang; Hongke Zhao; Enhong Chen; Qi Liu 003; Hao Wang 076; Shijin Wang 001 (AAAI, 2021)

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. - Guifeng Wang; Longbing Cao; Hongke Zhao; Qi Liu 003; Enhong Chen (AAAI, 2021)

Learning the Implicit Semantic Representation on Graph-Structured Data. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Jun Wang 120; Mengdi Zhang 002; Enhong Chen (DASFAA (1), 2021)

Preference-Adaptive Meta-Learning for Cold-Start Recommendation. - Li Wang 014; Binbin Jin; Zhenya Huang; Hongke Zhao; Defu Lian; Qi Liu 003; Enhong Chen (IJCAI, 2021)

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. - Yanqing An; Qi Liu 003; Han Wu 002; Kai Zhang 038; Linan Yue; Mingyue Cheng; Hongke Zhao; Enhong Chen (KDD, 2021)

Rethinking the Development of Technology-Enhanced Learning and the Role of Cognitive Computing. - Yihang Cheng 001; Xi Zhang 009; Xiaojiong Wang; Hongke Zhao; Yao Yu; Xianhai Wang; Patricia Ordóñez de Pablos (Int. J. Semantic Web Inf. Syst., 2021)

Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. - Binbin Jin; Enhong Chen; Hongke Zhao; Zhenya Huang; Qi Liu 003; Hengshu Zhu; Shui Yu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. - Lei Zhang 060; Wang Xiang; Chuang Zhao 002; Hongke Zhao; Rui Li 093; Runze Wu 001 (AAAI, 2022)

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. - Chuang Zhao 002; Hongke Zhao; Runze Wu 001; Qilin Deng; Yu Ding 001; Jianrong Tao; Changjie Fan (AAAI, 2022)

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. - Kai Zhang 038; Kun Zhang 015; Mengdi Zhang 002; Hongke Zhao; Qi Liu 003; Wei Wu 014; Enhong Chen (ACL (Findings), 2022)

Understanding and predicting innovative potential of scholars based on deep learning method. - Dehu Yin; Xi Zhang 009; Hongke Zhao (PACIS, 2022)

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. - Likang Wu; Hao Wang 076; Enhong Chen; Zhi Li 057; Hongke Zhao; Jianhui Ma (SIGIR, 2022)

Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. - Jinquan Hang; Zheng Dong; Hongke Zhao; Xin Song; Peng Wang 173; Hengshu Zhu (WSDM, 2022)

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. - Chuang Zhao 002; Hongke Zhao; Yong Ge; Runze Wu 001; Xudong Shen (WWW, 2022)

Toward intelligent financial advisors for identifying potential clients: A multitask perspective. - Qixiang Shao; Runlong Yu; Hongke Zhao; Chunli Liu; Mengyi Zhang; Hongmei Song; Qi Liu 003 (Big Data Min. Anal., 2022)

Exploring the effects of social capital on crowdfunding performance: A holistic analysis from the empirical and predictive views. - Xi Zhang 009; Xiaopei Liu; Xianhai Wang; Hongke Zhao; Wei Zhang 026 (Comput. Hum. Behav., 2022)

Estimating fund-raising performance for start-up projects from a market graph perspective. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Enhong Chen (Pattern Recognit., 2022)

Correction to: An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications. - Xi Zhang 009; Xianhai Wang; Hongke Zhao; Patricia Ordóñez de Pablos; Yongqiang Sun; Hui Xiong 001 (Scientometrics, 2022)

Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective. - Lei Zhang 060; Xinpeng Wu; Hongke Zhao; Fan Cheng 001; Qi Liu 003 (IEEE Trans. Big Data, 2022)

CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations. - Hongke Zhao; Xinpeng Wu; Chuang Zhao 002; Lei Zhang 060; Haiping Ma; Fan Cheng 001 (IEEE Trans. Evol. Comput., 2022)

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. - Junji Jiang; Hongke Zhao; Ming He; Likang Wu; Kai Zhang 038; Jianping Fan 007 (CIKM, 2023)

Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. - Chuang Zhao 002; Xinyu Li; Ming He; Hongke Zhao; Jianping Fan 007 (CIKM, 2023)

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. - Likang Wu; Junji Jiang; Hongke Zhao; Hao Wang 076; Defu Lian; Mengdi Zhang 002; Enhong Chen (IJCAI, 2023)

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhefeng Wang 001; Qi Liu 003; Baoxing Huai; Nicholas Jing Yuan; Enhong Chen (KDD, 2023)

Cross-domain recommendation via user interest alignment. - Chuang Zhao 002; Hongke Zhao; Ming He; Jian Zhang 023; Jianping Fan 007 (WWW, 2023)

An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems. - Hongke Zhao; Chuang Zhao 002; Xi Zhang 009; Nanlin Liu; Hengshu Zhu; Qi Liu 003; Hui Xiong 001 (INFORMS J. Comput., 2023)

Lender retention of online prosocial lending: a self-determination perspective. - Xi Zhang 009; Yihang Cheng 001; Juan Liu; Hongke Zhao; Dongming Xu; Yulong Li (Internet Res., 2023)

Individual identification of cashmere goats via method of fusion of multiple optimization. - Cheng Shang; Hongke Zhao; Meili Wang; XiaoLong Wang; Yu Jiang; Qiang Gao 015 (Comput. Animat. Virtual Worlds, 2023)

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. - Likang Wu; Hongke Zhao; Zhi Li 057; Zhenya Huang; Qi Liu 003; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2023)

perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games. - Shiwei Zhao; Runze Wu 001; Jianrong Tao; Manhu Qu; Minghao Zhao 002; Changjie Fan; Hongke Zhao (ACM Trans. Inf. Syst., 2023)

Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. - Zhenya Huang; Binbin Jin; Hongke Zhao; Qi Liu 003; Defu Lian; Tengfei Bao; Enhong Chen (ACM Trans. Inf. Syst., 2023)

Forecasting movements of stock time series based on hidden state guided deep learning approach. - Junji Jiang; Likang Wu; Hongke Zhao; Hengshu Zhu; Wei Zhang 026 (Inf. Process. Manag., 2023)

A Sequence and Network Embedding Method for Bus Arrival Time Prediction Using GPS Trajectory Data Only. - Changlin Li; Shuai Lin; Honglei Zhang; Hongke Zhao; Lishan Liu; Ning Jia (IEEE Trans. Intell. Transp. Syst., 2023)

What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising. - Hongke Zhao; Yihang Cheng 001; Xi Zhang 009; Hengshu Zhu; Qi Liu 003; Hui Xiong 001; Wei Zhang 026 (IEEE Trans. Knowl. Data Eng., 2023)

A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations. - Lei Zhang 060; Huabin Zhang; Sibo Liu; Chao Wang 039; Hongke Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Multi-view enhanced zero-shot node classification. - Jiahui Wang; Likang Wu; Hongke Zhao; Ning Jia (Inf. Process. Manag., 2023)

Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. - Ming He; Yan Chen; Hongke Zhao; Qi Liu 003; Le Wu; Yu Cui; Guihua Zeng; Guiquan Liu (J. Comput. Sci. Technol., 2023)

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. - Zhijun Dong; Likang Wu; Kai Zhang 038; Ye Liu 011; Yanghai Zhang; Zhi Li 057; Hongke Zhao; Enhong Chen (CIKM, 2024)

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems. - Zhichen Xiang; Hongke Zhao; Chuang Zhao 002; Ming He; Jianping Fan 007 (KDD, 2024)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. - Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianpin Fan (CoRR, 2024)

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling. - Zhong Guan; Hongke Zhao; Likang Wu; Ming He; Jianpin Fan (CoRR, 2024)

Dr.E Bridges Graphs with Large Language Models through Words. - Zipeng Liu; Likang Wu; Ming He; Zhong Guan; Hongke Zhao; Nan Feng (CoRR, 2024)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation. - Hongke Zhao; Songming Zheng; Likang Wu; Bowen Yu; Jing Wang (CoRR, 2024)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts. - Xinyu Li; Chuang Zhao 002; Hongke Zhao; Likang Wu; Ming He (CoRR, 2024)

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs. - Chuang Zhao 002; Xing Su; Ming He; Hongke Zhao; Jianping Fan 007; Xiaomeng Li 001 (CoRR, 2024)

Team formation in large organizations: A deep reinforcement learning approach. - Bing Lv; Junji Jiang; Likang Wu; Hongke Zhao (Decis. Support Syst., 2024)

MOREM: An evolutionary multitasking optimization algorithm for multi-objective recommendations. - Lei Zhang 060; Sibo Liu; Haipeng Yang; Zihao Chen; Hongke Zhao (Inf. Sci., 2024)

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhenya Huang; Yongqiang Han; Junji Jiang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2024)

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. - Han Wu 002; Guanqi Zhu; Qi Liu 003; Hengshu Zhu; Hao Wang 076; Hongke Zhao; Chuanren Liu; Enhong Chen; Hui Xiong 001 (IEEE Trans. Big Data, 2024)

SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction. - Lei Zhang 060; Wuji Zhang; Likang Wu; Ming He; Hongke Zhao (ACM Trans. Web, 2024)

Does academic engagement with industry come at a cost for early career scientists? Evidence from high-tech enterprises' Ph.D. funding programs. - Xi Zhang; Dehu Yin; Li Tang 005; Hongke Zhao (Inf. Process. Manag., 2024)

A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations. - Lei Zhang 060; Huabin Zhang; Zihao Chen; Sibo Liu; Haipeng Yang; Hongke Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Cross-Domain Recommendation via Progressive Structural Alignment. - Chuang Zhao 002; Hongke Zhao; Xiaomeng Li 001; Ming He; Jiahui Wang; Jianping Fan 007 (IEEE Trans. Knowl. Data Eng., 2024)

Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. - Chuang Zhao 002; Hongke Zhao; Hengshu Zhu; Zhenya Huang; Nan Feng; Enhong Chen; Hui Xiong 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. - Xin Lin 005; Zhenya Huang; Hongke Zhao; Enhong Chen; Qi Liu 003; Defu Lian; Xin Li 064; Hao Wang 076 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A general tail item representation enhancement framework for sequential recommendation. - Mingyue Cheng; Qi Liu 003; Wenyu Zhang; Zhiding Liu; Hongke Zhao; Enhong Chen (Frontiers Comput. Sci., 2024)

Predicting scholar potential: a deep learning model on social capital features. - Dehu Yin; Xi Zhang; Hongke Zhao; Li Tang (Scientometrics, 2024)

Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships. - Chuang Zhao 002; Hongke Zhao; Xiaofang Zhou 001; Xiaomeng Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-View Empowered Structural Graph Wordification for Language Models. - Zipeng Liu; Likang Wu; Ming He; Zhong Guan; Hongke Zhao; Nan Feng (AAAI, 2025)

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning. - Zhiyuan Ma 006; Zhenya Huang; Jiayu Liu 001; Minmao Wang; Hongke Zhao; Xin Li 064 (AAAI, 2025)

Enhancing Code Search Intent with Programming Context Exploration. - Yanmin Dong; Zhenya Huang; Zheng Zhang 048; Guanhao Zhao; Likang Wu; Hongke Zhao; Binbin Jin; Qi Liu 003 (WSDM, 2025)

How signal intensity of altruistic and strategic motivation affects crowdfunding performance? Matching among funders and platform types. - Hongke Zhao; Yaxian Wang; Hao Wei (Electron. Commer. Res. Appl., 2025)

Conflicts and optimization of multiple promotions combinations for merchants. - Rongxiao Huang; Zhiyong Zhang; Bing Lv; Hongke Zhao (Expert Syst. Appl., 2025)

Exploring the interpretability of Vision GCN with a multi-method approach. - Hongke Zhao; Yuanpei Sui; Likang Wu (Expert Syst. Appl., 2025)

Knowledge enhanced graph contrastive learning for match outcome prediction. - Junji Jiang; Likang Wu; Zhipeng Hu; Runze Wu 001; Xudong Shen; Hongke Zhao (Inf. Process. Manag., 2025)

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data. - Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianping Fan 007 (CoRR, 2025)

Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness. - Chuang Zhao 002; Hui Tang; Hongke Zhao; Xiaomeng Li 001 (CoRR, 2025)

GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction. - Lei Zhang 060; Wuji Zhang; Likang Wu; Hongke Zhao (IEEE Trans. Knowl. Data Eng., 2025)

Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights. - Chuang Zhao 002; Hui Tang; Hongke Zhao; Xiaomeng Li 001 (ACM Trans. Inf. Syst., 2025)

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach. - Chuang Zhao 002; Hongke Zhao; Ming He; Xiaomeng Li 001; Jianping Fan 007 (ACM Trans. Web, 2025)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. - Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianping Fan 007 (IEEE Trans. Knowl. Data Eng., 2025)

Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs. - Chuang Zhao 002; Xing Su; Ming He; Hongke Zhao; Jianping Fan 007; Xiaomeng Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-Objective Graph Contrastive Learning for Recommendation. - Lei Zhang 060; Mingren Ke; Likang Wu; Wuji Zhang; Zihao Chen; Hongke Zhao (IEEE Trans. Big Data, 2025)

Multi-resolution leak detection based on shared expert MoE forecasting for natural gas pipelines. - Xuguang Li; Zhonglin Zuo; Zheng Dong; Hongke Zhao; Luanfei Wan; Hongfang Cheng (Inf. Process. Manag., 2026)