| 2026 | WWW | Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation. | Jiale Huang, Yingyuan Xiao, Likang Wu, Xu Cheng, Wenguang Zheng, Qingbo Hao, Ming He, Hongke Zhao |
| 2026 | WWW | Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations. | Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang |
| 2026 | WSDM | TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction. | Minmao Wang, Rui Zhang, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang |
| 2025 | AAAI | Multi-View Empowered Structural Graph Wordification for Language Models. | Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng |
| 2025 | AAAI | Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning. | Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao, Xin Li |
| 2025 | ICML | Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data. | Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan |
| 2025 | KDD | Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness. | Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li |
| 2025 | WSDM | Enhancing Code Search Intent with Programming Context Exploration. | Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu |
| 2024 | CIKM | FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. | Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen |
| 2024 | KDD | Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems. | Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan |
| 2023 | CIKM | Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. | Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan |
| 2023 | CIKM | Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. | Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan |
| 2023 | IJCAI | KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. | Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen |
| 2023 | KDD | Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. | Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen |
| 2023 | WWW | Cross-domain recommendation via user interest alignment. | Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan |
| 2022 | AAAI | Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. | Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu |
| 2022 | AAAI | Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. | Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan |
| 2022 | ACL | Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. | Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen |
| 2022 | WWW | Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. | Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen |
| 2022 | SIGIR | Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. | Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma |
| 2022 | WSDM | Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. | Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu |
| 2021 | AAAI | HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang |
| 2021 | AAAI | Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. | Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen |
| 2021 | DASFAA | Learning the Implicit Semantic Representation on Graph-Structured Data. | Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen |
| 2021 | IJCAI | Preference-Adaptive Meta-Learning for Cold-Start Recommendation. | Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen |
| 2021 | KDD | LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. | Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen |
| 2020 | AAAI | Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. | Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu |
| 2020 | AAAI | Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. | Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen |
| 2020 | ICIS | A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms. | Xin Wei, Wei He, Xi Zhang, Chuang Zhao, Hongke Zhao |
| 2020 | IJCAI | Learning the Compositional Visual Coherence for Complementary Recommendations. | Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei |
| 2019 | AAAI | Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. | Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge |
| 2019 | AAAI | A Radical-Aware Attention-Based Model for Chinese Text Classification. | Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu |
| 2019 | AAAI | Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. | Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen |
| 2019 | CEC | Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach. | Lei Zhang, Xin Zhang, Fan Cheng, Xiaoyan Sun, Hongke Zhao |
| 2019 | ICDM | Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. | Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen |
| 2019 | KDD | Exploiting Cognitive Structure for Adaptive Learning. | Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang |
| 2018 | IJCAI | Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. | Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du |
| 2018 | KDD | Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. | Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen |
| 2017 | AAAI | Question Difficulty Prediction for READING Problems in Standard Tests. | Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu |
| 2017 | IJCAI | Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective. | Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen |
| 2017 | KDD | Prospecting the Career Development of Talents: A Survival Analysis Perspective. | Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao |
| 2017 | KDD | Tracking the Dynamics in Crowdfunding. | Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu |
| 2016 | DASFAA | Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. | Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao |
| 2016 | ICDM | Group Preference Aggregation: A Nash Equilibrium Approach. | Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen |
| 2016 | KDD | Portfolio Selections in P2P Lending: A Multi-Objective Perspective. | Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen |
| 2014 | ICDM | Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. | Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen |