| 2026 | AAAI | LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning. | Naiyi Li, Zihui Ma, Runlong Yu, Lingyao Li |
| 2026 | AAAI | GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction. | Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia |
| 2025 | AAAI | Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. | Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong |
| 2025 | AAAI | Multi-Scale Graph Learning for Anti-Sparse Downscaling. | Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia |
| 2025 | AAAI | Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science. | Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2025 | EMNLP | LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment. | Lingyao Li, Dawei Li, Zhenhui Ou, Xiaoran Xu, Jingxiao Liu, Zihui Ma, Runlong Yu, Min Deng |
| 2025 | ICDM | Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework. | Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2025 | ICDM | Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis. | Runlong Yu, Xiaowei Jia |
| 2025 | IJCAI | Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness. | Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou |
| 2025 | KDD | Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. | Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | PAKDD | A Survey of Foundation Models for Environmental Science. | Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia |
| 2025 | WSDM | ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control. | Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun |
| 2025 | SDM | Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. | Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia |
| 2025 | SDM | What We Talk About When We Talk About AI for Science. | Runlong Yu, Yiqun Xie, Xiaowei Jia |
| 2024 | ICDM | Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations. | Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2024 | KDD | PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. | Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong |
| 2024 | PPSN | Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes. | Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2023 | AAAI | Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. | Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang |
| 2023 | ICDE | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | KDD | Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. | Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen |
| 2023 | SIGIR | Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. | Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang |
| 2022 | DASFAA | Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation. | Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu |
| 2022 | SIGIR | Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. | Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu |
| 2021 | ICDM | Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. | Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen |
| 2021 | IJCAI | Item Response Ranking for Cognitive Diagnosis. | Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang |
| 2021 | PAKDD | XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. | Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen |
| 2021 | SIGIR | Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. | Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen |
| 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 | ICDM | Deep Technology Tracing for High-Tech Companies. | Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma |
| 2019 | ICDM | Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. | Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong |
| 2018 | CIKM | Multiple Pairwise Ranking with Implicit Feedback. | Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen |