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Yuxuan Liang

  1. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
    2023/10/15 by Xu Liu, Liu, Xu, Junfeng Hu +11 · 27 citations
    Computer Science · Decision Sciences · Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  2. Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
    2023/03/25 by Guangyin Jin, Jin, Guangyin, Yuxuan Liang +10 · 20 citations
    Engineering · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Smart Cities and Technologies #Traffic Prediction and Management Techniques
  3. Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
    2024/10/14 by Xu Liu, Liu, Xu, Juncheng Liu +17 · 37 citations
    Computer Science · Engineering · #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques #Anomaly Detection Techniques and Applications
  4. Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
    2023/06/16 by Kexin Zhang, Qingsong Wen, Zhang, Kexin +19 · 12 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Time Series Analysis and Forecasting #electronic engineering #information engineering
  5. DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
    2023/01/31 by Haomin Wen, Wen, Haomin, Youfang Lin +10 · 11 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Energy Load and Power Forecasting #Traffic Prediction and Management Techniques
  6. UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
    2023/10/22 by Yibo Yan, Haomin Wen, Yan, Yibo +13 · 12 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Geographic Information Systems Studies #Human Mobility and Location-Based Analysis #Text and Document Classification Technologies
  7. Contrastive Trajectory Similarity Learning with Dual-Feature Attention
    2022/10/11 by Yanchuan Chang, Jianzhong Qi, Chang, Yanchuan +5 · 8 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Data Management and Algorithms #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  8. A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
    2024/04/29 by Yiyuan Yang, Yang, Yiyuan, Ming Jin +21 · 12 citations
    Computer Science · #Time Series Analysis and Forecasting
  9. Directed Graph Convolutional Network
    2020/04/29 by Zekun Tong, Tong, Zekun, Yuxuan Liang +7 · 6 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
  10. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
    2024/04/23 by Yuanshao Zhu, Zhu, Yuanshao, James J. Q. Yu +15 · 9 citations
    Computer Science · Engineering · #Robotic Path Planning Algorithms #Human Motion and Animation #Autonomous Vehicle Technology and Safety
  11. Unlocking the Power of LSTM for Long Term Time Series Forecasting
    2024/08/19 by Yaxuan Kong, Kong, Yaxuan, Zepu Wang +13 · 10 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  12. Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
    2023/09/23 by Yutong Xia, Yuxuan Liang, Xia, Yutong +11 · 7 citations
    Environmental Science · Engineering · #Air Quality Monitoring and Forecasting #Traffic Prediction and Management Techniques
  13. Towards Neural Scaling Laws for Time Series Foundation Models
    2024/10/16 by Yao, Qingren, Chao-Han Huck Yang, Renhe Jiang +8 · 10 citations
    Computer Science · #Neural Networks and Applications
  14. Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
    2024/05/23 by Qingxiang Liu, Liu, Qingxiang, Xu Liu +7 · 8 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
  15. Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
    2024/12/13 by Yuchen Fang, Yuxuan Liang, Fang, Yuchen +13 · 8 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques
  16. AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management
    2025/03/06 by Junyuan Mao, Mao, Junyuan, Yifan Duan +14 · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Big Data and Digital Economy #Blockchain Technology Applications and Security
  17. Spatio-Temporal Field Neural Networks for Air Quality Inference
    2024/03/02 by Yutong Feng, Feng, Yutong, Qiongyan Wang +9 · 5 citations
    Environmental Science · #Air Quality Monitoring and Forecasting #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
    2021/08/26 by Xu Liu, Yuxuan Liang, Liu, Xu +9 · 3 citations
    Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Geographic Information Systems Studies #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG)
  19. Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
    2024/10/25 by Jindong Tian, Yuxuan Liang, Tian, Jindong +15 · 7 citations
    Environmental Science · #Air Quality Monitoring and Forecasting #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  20. Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
    2023/12/13 by Hao Wu, Wu, Hao, Yuxuan Liang +11 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #I.2.3 #Time Series Analysis and Forecasting
  21. Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
    2024/03/21 by Wei Chen, Chen, Wei, Yuanshao Zhu +25 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Data Management and Algorithms #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques #Web Data Mining and Analysis
  22. Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
    2024/02/06 by Kun Wang, Wang, Kun, Hao Wu +13 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  23. Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
    2025/06/17 by Ling Li, Li, Ling, Yao Zhou +7 · 10 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  24. Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
    2022/05/08 by Yiwei Wang, Muhao Chen, Wang, Yiwei +15 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
  25. The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
    2024/06/18 by Kun Wang, Guibin Zhang, Wang, Kun +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Structure-Aware Label Smoothing for Graph Neural Networks
    2021/12/01 by Yiwei Wang, Wang, Yiwei, Yujun Cai +13 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Social and Information Networks (cs.SI) #Text and Document Classification Technologies
  27. DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
    2024/03/05 by Hao Wu, Haomin Wen, Wu, Hao +12 · 2 citations
    Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Environmental Gas Dynamics #Data Management and Algorithms #FOS: Computer and information sciences #Time Series Analysis and Forecasting
  28. Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
    2024/04/22 by Kang Luo, Luo, Kang, Yuanshao Zhu +11 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  29. Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
    2024/10/16 by Wei Chen, Yuxuan Liang, Chen, Wei +1 · 2 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Data Management and Algorithms #FOS: Computer and information sciences #Geographic Information Systems Studies #Graph Theory and Algorithms #Machine Learning (cs.LG)
  30. Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation
    2025/02/03 by Yaxuan Kong, Kong, Yaxuan, Yiyuan Yang +17 · 3 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies
  31. Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia
    2024/10/02 by Miao Yu, Junyuan Mao, Yu, Miao +17 · 2 citations
    Computer Science · Neuroscience · #Artificial Intelligence in Education #Neuroscience, Education and Cognitive Function
  32. GraphAgent: Agentic Graph Language Assistant
    2024/12/22 by Yuhao Yang, Yang, Yuhao, Jiabin Tang +9 · 2 citations
    Computer Science · #Semantic Web and Ontologies #Multi-Agent Systems and Negotiation #Service-Oriented Architecture and Web Services
  33. Comba: Improving Bilinear RNNs with Closed-loop Control
    2025/06/03 by Jiaxi Hu, Yongqi Pan, Hu, Jiaxi +12 · 2 citations
    Computer Science · #Topic Modeling #Neural Networks and Applications #Adversarial Robustness in Machine Learning
  34. Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
    2023/11/26 by Feiyi Chen, Y. Zhang, Chen, Feiyi +13 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Time Series Analysis and Forecasting
  35. Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
    2024/05/25 by Jiaxi Hu, Hu, Jiaxi, Disen Lan +7 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  36. NuwaTS: a Foundation Model Mending Every Incomplete Time Series
    2024/05/24 by Jinguo Cheng, Chun‐Wei Yang, Cheng, Jinguo +7 · 1 citation
    Computer Science · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  37. GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
    2024/10/17 by Guibin Zhang, Zhang, Guibin, Haonan Dong +17 · 1 citation
    Computer Science · #Software Engineering Research
  38. Instruction-Guided Fusion of Multi-Layer Visual Features in Large Vision-Language Models
    2024/12/26 by Li Xu, Yi Zheng, Li, Xu +13 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  39. Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting
    2026/07/27 by Qingxiang Liu, Anqi Liang, Heng Wang +1
    #cs.LG #cs.AI
  40. CRISP: Pre-LLM Yet Text-Driven Visual Token Pruning for Efficient LVLM Inference
    2026/07/15 by Xu Li, Yi Zheng, Mengyang Zhao +7
    #cs.CV
  41. Reinforcement Learning for Delivery Drone-Based Participatory Sensing in Dynamic Environments
    2026/07/21 by Xin Ouyang, Songxin Lei, Xusen Guo +3
    #cs.LG #cs.CY