Runlong Yu

According to our database, Runlong Yu authored at least 44 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

RAG for Geoscience: What We Expect, Gaps and Opportunities.

Runlong Yu, Shiyuan Luo, Rahul Ghosh, Lingyao Li, Yiqun Xie, Xiaowei Jia

CoRR, August, 2025

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning.

Naiyi Li, Zihui Ma, Runlong Yu, Lingyao Li

CoRR, August, 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, August, 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

CoRR, July, 2025

Environmental Computing as a Branch of Science.

Runlong Yu, Yiqun Xie, Xiaowei Jia

Commun. ACM, July, 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, June, 2025

How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control.

Hao Yu, Chu Xin Cheng, Runlong Yu, Yuyang Ye, Shiwei Tong, Zhaofeng Liu, Defu Lian

CoRR, June, 2025

LLM-based Evaluation Policy Extraction for Ecological Modeling.

Qi Cheng, Licheng Liu, Qing Zhu, Runlong Yu, Zhenong Jin, Yiqun Xie, Xiaowei Jia

CoRR, May, 2025

Foundation Models for Environmental Science: A Survey of Emerging Frontiers.

Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia

CoRR, April, 2025

Adaptive ensemble learning for efficient keyphrase extraction: Diagnosis, aggregation, and distillation.

Kai Zhang, Hongbo Gang, Feng Hu, Runlong Yu, Qi Liu

Expert Syst. Appl., 2025

ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.

Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

What We Talk About When We Talk About AI for Science.

Runlong Yu, Yiqun Xie, Xiaowei Jia

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

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

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

A Survey of Foundation Models for Environmental Science.

Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia

Proceedings of the Data Science: Foundations and Applications, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Multi-Scale Graph Learning for Anti-Sparse Downscaling.

Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.

Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong

IEEE Trans. Knowl. Data Eng., November, 2024

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems.

Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen

CoRR, 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

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.

Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong

IEEE Trans. Knowl. Data Eng., April, 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

Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback.

Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.

Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.

Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.

Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma

IEEE Trans. Knowl. Data Eng., 2022

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen

Knowl. Inf. Syst., 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

Big Data Min. Anal., 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Proceedings of the Database Systems for Advanced Applications, 2022

2021

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.

Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Item Response Ranking for Cognitive Diagnosis.

Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.

Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Technology Tracing for High-Tech Companies.

Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Multiple Pairwise Ranking with Implicit Feedback.

Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018