Multiple Pairwise Ranking with Implicit Feedback. - Runlong Yu; Yunzhou Zhang; Yuyang Ye 002; Le Wu; Chao Wang 086; Qi Liu 003; Enhong Chen (CIKM, 2018)

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)

Deep Technology Tracing for High-Tech Companies. - Han Wu 002; Kun Zhang 015; Guangyi Lv; Qi Liu 003; Runlong Yu; Weihao Zhao; Enhong Chen; Jianhui Ma (ICDM, 2019)

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. - Yuyang Ye 002; Hengshu Zhu; Tong Xu 001; Fuzhen Zhuang; Runlong Yu; Hui Xiong 001 (ICDM, 2019)

Long-term Joint Scheduling for Urban Traffic. - Xianfeng Liang; Likang Wu; Joya Chen; Yang Liu 278; Runlong Yu; Min Hou; Han Wu 002; Yuyang Ye 002; Qi Liu 003; Enhong Chen (CoRR, 2019)

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. - Huijie Liu; Han Wu 002; Le Zhang 010; Runlong Yu; Ye Liu 011; Chunli Liu; Qi Liu 003; Enhong Chen (ICDM, 2021)

Item Response Ranking for Cognitive Diagnosis. - Shiwei Tong; Qi Liu 003; Runlong Yu; Wei Huang 002; Zhenya Huang; Zachary A. Pardos; Weijie Jiang (IJCAI, 2021)

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. - Runlong Yu; Yuyang Ye 002; Qi Liu 003; Zihan Wang; Chunfeng Yang; Yucheng Hu; Enhong Chen (PAKDD (2), 2021)

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. - Mingyue Cheng; Fajie Yuan; Qi Liu 003; Shenyang Ge; Zhi Li 057; Runlong Yu; Defu Lian; Senchao Yuan; Enhong Chen (SIGIR, 2021)

Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation. - Zheng Gong 001; Shiwei Tong; Han Wu 002; Qi Liu 003; Hanqing Tao; Wei Huang 002; Runlong Yu (DASFAA (3), 2022)

Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. - Yuren Zhang; Enhong Chen; Binbin Jin; Hao Wang 076; Min Hou; Wei Huang 002; Runlong Yu (SIGIR, 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)

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. - Huijie Liu; Han Wu 002; Le Zhang 010; Runlong Yu; Ye Liu 011; Chunli Liu; Minglei Li 001; Qi Liu 003; Enhong Chen (Knowl. Inf. Syst., 2022)

Collaborative List-and-Pairwise Filtering From Implicit Feedback. - Runlong Yu; Qi Liu 003; Yuyang Ye 002; Mingyue Cheng; Enhong Chen; Jianhui Ma (IEEE Trans. Knowl. Data Eng., 2022)

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. - Yang Yu 001; Qi Liu 003; Likang Wu; Runlong Yu; Sanshi Lei Yu; Zaixi Zhang (AAAI, 2023)

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. - Runlong Yu; Qi Liu 003; Yuyang Ye 002; Mingyue Cheng; Enhong Chen; Jianhui Ma (ICDE, 2023)

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. - Runlong Yu; Xiang Xu; Yuyang Ye 002; Qi Liu 003; Enhong Chen (KDD, 2023)

Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. - Yujie Chen; Runlong Yu; Qi Liu 003; Enhong Chen; Zhenya Huang (SIGIR, 2023)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. - Shiyuan Luo; Juntong Ni; Shengyu Chen; Runlong Yu; Yiqun Xie; Licheng Liu; Zhenong Jin; Huaxiu Yao; Xiaowei Jia (CoRR, 2023)

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks. - Yuyang Ye 002; Zheng Dong; Hengshu Zhu; Tong Xu 001; Xin Song; Runlong Yu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

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 (ICDM, 2024)

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. - Yuyang Ye 002; Lu-An Tang; Haoyu Wang 003; Runlong Yu; Wenchao Yu; Erhu He; Haifeng Chen; Hui Xiong 001 (KDD, 2024)

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 (PPSN (4), 2024)

Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes. - Runlong Yu; Robert Ladwig; Xiang Xu; Peijun Zhu; Paul C. Hanson; Yiqun Xie; Xiaowei Jia (CoRR, 2024)

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems. - Runlong Yu; Qixiang Shao; Qi Liu 003; Huan Liu; Enhong Chen (CoRR, 2024)

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. - Yuyang Ye 002; Hengshu Zhu; Tianyi Cui; Runlong Yu; Le Zhang 010; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. - Yuyang Ye 002; Zhi Zheng 008; Yishan Shen; Tianshu Wang 004; Hengruo Zhang; Peijun Zhu; Runlong Yu; Kai Zhang 001; Hui Xiong 001 (AAAI, 2025)

Multi-Scale Graph Learning for Anti-Sparse Downscaling. - Yingda Fan; Runlong Yu; Janet R. Barclay; Alison P. Appling; Yiming Sun 004; Yiqun Xie; Xiaowei Jia (AAAI, 2025)

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 (AAAI, 2025)

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. - Xiang Xu; Hao Wang 076; Wei Guo 006; Luankang Zhang; Wanshan Yang; Runlong Yu; Yong Liu 020; Defu Lian; Enhong Chen (KDD (1), 2025)

A Survey of Foundation Models for Environmental Science. - Runlong Yu; Shengyu Chen; Yiqun Xie; Xiaowei Jia (PAKDD (6), 2025)

Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. - Yiming Sun 004; Runlong Yu; Runxue Bao; Yiqun Xie; Ye Ye 002; Xiaowei Jia (SDM, 2025)

What We Talk About When We Talk About AI for Science. - Runlong Yu; Yiqun Xie; Xiaowei Jia (SDM, 2025)

ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control. - Yin Gu; Kai Zhang 038; Qi Liu 003; Runlong Yu; Xin Lin 005; Xinjie Sun (WSDM, 2025)

Adaptive ensemble learning for efficient keyphrase extraction: Diagnosis, aggregation, and distillation. - Kai Zhang 038; Hongbo Gang; Feng Hu; Runlong Yu; Qi Liu 003 (Expert Syst. Appl., 2025)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers. - Runlong Yu; Shengyu Chen; Yiqun Xie; Huaxiu Yao; Jared Willard; Xiaowei Jia (CoRR, 2025)

LLM-based Evaluation Policy Extraction for Ecological Modeling. - Qi Cheng; Licheng Liu; Qing Zhu; Runlong Yu; Zhenong Jin; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control. - Hao Yu; Chu Xin Cheng; Runlong Yu; Yuyang Ye 002; Shiwei Tong; Zhaofeng Liu; Defu Lian (CoRR, 2025)

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 (CoRR, 2025)

Environmental Computing as a Branch of Science. - Runlong Yu; Yiqun Xie; Xiaowei Jia (Commun. ACM, 2025)

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching. - Huibo Xu; Runlong Yu; Likang Wu; Xianquan Wang; Qi Liu 003 (CoRR, 2025)

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models. - Lingyao Li; Runlong Yu; Qikai Hu; Bowei Li; Min Deng; Yang Zhou; Xiaowei Jia (CoRR, 2025)

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning. - Naiyi Li; Zihui Ma; Runlong Yu; Lingyao Li (CoRR, 2025)

RAG for Geoscience: What We Expect, Gaps and Opportunities. - Runlong Yu; Shiyuan Luo; Rahul Ghosh; Lingyao Li; Yiqun Xie; Xiaowei Jia (CoRR, 2025)