Runlong Yu

74 papers A* 21A 4Journal 42Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
$\pi$-eLight: Learning Interpretable Programmatic Policies for Effective Traffic Signal Control.
IEEE Trans. Mob. Comput.
Yin Gu, Kai Zhang, Qi Liu, Haojie Yuan, Runlong Yu
2026 J jnl
Bridging the Urban Divide: Adaptive Cross-City Learning for Disaster Sentiment Understanding.
CoRR
Zihui Ma, Yiheng Chen, Runlong Yu, Afra Izzati Kamili, Fangqi Chen, Zhaoxi Zhang, Juan Li, Yuki Miura
2026 A* conf
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
AAAI
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 A* conf
LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning.
AAAI
Naiyi Li, Zihui Ma, Runlong Yu, Lingyao Li
2026 J jnl
Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators.
CoRR
Yilong Dai, Shengyu Chen, Ziyi Wang, Xiaowei Jia, Yiqun Xie, Vipin Kumar, Runlong Yu
2026 J jnl
PEST: Physics-Enhanced Swin Transformer for 3D Turbulence Simulation.
CoRR
Yilong Dai, Shengyu Chen, Xiaowei Jia, Peyman Givi, Runlong Yu
2026 J jnl
Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires.
CoRR
Yiheng Chen, Alina Hagen, Fan Yang, Ratna B. Dougherty, Zihui Ma, Lingyao Li, Runlong Yu
2026 J jnl
Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions.
CoRR
Yiming Sun, Qi Cheng, Licheng Liu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 J jnl
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction.
CoRR
Yiming Sun, Runlong Yu, Rongchao Dong, Shuo Chen, Licheng Liu, Youmi Oh, Qianlai Zhuang, Yiqun Xie, Xiaowei Jia
2025 — conf
A Survey of Foundation Models for Environmental Science.
PAKDD (6)
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
A Survey of Foundation Models for Environmental Science.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
Adaptive ensemble learning for efficient keyphrase extraction: Diagnosis, aggregation, and distillation.
Expert Syst. Appl.
Kai Zhang, Hongbo Gang, Feng Hu, Runlong Yu, Qi Liu
2025 J jnl
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching.
CoRR
Huibo Xu, Runlong Yu, Likang Wu, Xianquan Wang, Qi Liu
2025 A* conf
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness.
IJCAI
Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou
2025 A conf
Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems.
SDM
Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia
2025 J jnl
Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response.
CoRR
Yiheng Chen, Lingyao Li, Zihui Ma, Qikai Hu, Yilun Zhu, Min Deng, Runlong Yu
2025 J jnl
Environmental Computing as a Branch of Science.
Commun. ACM
Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 J jnl
Foundation Models for Environmental Science: A Survey of Emerging Frontiers.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia
2025 J jnl
From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models.
CoRR
Lingyao Li, Runlong Yu, Qikai Hu, Bowei Li, Min Deng, Yang Zhou, Xiaowei Jia
2025 J jnl
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
CoRR
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 — conf
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
SIGSPATIAL/GIS
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 J jnl
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
CoRR
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 A* conf
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
AAAI
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
2025 J jnl
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control.
CoRR
Hao Yu, Chu Xin Cheng, Runlong Yu, Yuyang Ye, Shiwei Tong, Zhaofeng Liu, Defu Lian
2025 J jnl
LLM-based Evaluation Policy Extraction for Ecological Modeling.
CoRR
Qi Cheng, Licheng Liu, Qing Zhu, Runlong Yu, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 A* conf
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment.
EMNLP
Lingyao Li, Dawei Li, Zhenhui Ou, Xiaoran Xu, Jingxiao Liu, Zihui Ma, Runlong Yu, Min Deng
2025 J jnl
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment.
CoRR
Lingyao Li, Dawei Li, Zhenhui Ou, Xiaoran Xu, Jingxiao Liu, Zihui Ma, Runlong Yu, Min Deng
2025 J jnl
LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning.
CoRR
Naiyi Li, Zihui Ma, Runlong Yu, Lingyao Li
2025 A* conf
Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
ICDM
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
CoRR
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 A* conf
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
AAAI
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 J jnl
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
CoRR
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 — conf
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.
KDD (1)
Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2025 A* conf
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science.
AAAI
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science.
CoRR
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 A conf
ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.
WSDM
Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun
2025 J jnl
Process Optimization of Multi-Stage Continuous Production System Based on Feature Fusion Modeling.
IEEE Trans Autom. Sci. Eng.
Xiaojie Li, Runlong Yu, Lei Chen, Shengjun Liu, Enhong Chen
2025 J jnl
RAG for Geoscience: What We Expect, Gaps and Opportunities.
CoRR
Runlong Yu, Shiyuan Luo, Rahul Ghosh, Lingyao Li, Yiqun Xie, Xiaowei Jia
2025 J jnl
Truth Without Comprehension: A BlueSky Agenda for Steering the Fourth Mathematical Crisis.
CoRR
Runlong Yu, Xiaowei Jia
2025 — conf
Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis.
ICDM (Workshops)
Runlong Yu, Xiaowei Jia
2025 A conf
What We Talk About When We Talk About AI for Science.
SDM
Runlong Yu, Yiqun Xie, Xiaowei Jia
2024 A* conf
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations.
ICDM
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 J jnl
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations.
CoRR
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 J jnl
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems.
CoRR
Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen
2024 — conf
Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes.
PPSN (4)
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2024 J jnl
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
2024 J jnl
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.
CoRR
Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2024 J jnl
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
CoRR
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2024 A* conf
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
KDD
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
CoRR
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng.
Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong
2023 A* conf
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.
KDD
Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen
2023 A* conf
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
ICDE
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2023 J jnl
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
2023 J jnl
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong
2023 A* conf
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
AAAI
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2023 A* conf
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback.
SIGIR
Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang
2022 J jnl
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.
Knowl. Inf. Syst.
Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen
2022 A* conf
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction.
SIGIR
Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu
2022 J jnl
Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng.
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2022 — conf
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation.
DASFAA (3)
Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu
2022 J jnl
Toward intelligent financial advisors for identifying potential clients: A multitask perspective.
Big Data Min. Anal.
Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu
2022 J jnl
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
CoRR
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2021 A* conf
Item Response Ranking for Cognitive Diagnosis.
IJCAI
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
2021 A* conf
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
SIGIR
Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
2021 A* conf
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.
ICDM
Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen
2021 — conf
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
PAKDD (2)
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
2021 J jnl
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
CoRR
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
2020 J jnl
Deep Technology Tracing for High-tech Companies.
CoRR
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
2019 A* conf
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
ICDM
Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen
2019 A* conf
Deep Technology Tracing for High-Tech Companies.
ICDM
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
2019 A* conf
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
ICDM
Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong
2019 J jnl
Long-term Joint Scheduling for Urban Traffic.
CoRR
Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
2018 A conf
Multiple Pairwise Ranking with Implicit Feedback.
CIKM
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen