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Qingsong Wen

94 papers at tracked venues · 79 at CORE A* · active 2024–2026

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Venues

SIGKDD ×22ACL ×12NeurIPS ×12ICLR ×10AAAI ×8EMNLP ×5WWW ×5CIKM ×4ICML ×4ACM MM ×3IJCAI ×3VLDB ×2ECML-PKDD ×1ICDE ×1SDM ×1WSDM ×1

Frequent coauthors

Yibo Yan
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Jiaxi Hu
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Yifan Zhang
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Yuxuan Liang
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Ming Jin
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Feiyi Chen
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Yuan Gao
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Miao Yu
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Hang Li
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Zhendong Chu
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Siru Zhong
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Sanjay Purushotham
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Papers

  1. AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems
    WSDM 2026 ·
    Chen Wang
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  2. ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code
    ACL 2026 ·
    Jian Xie
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  3. Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE
    SIGKDD 2026 ·
    Fan Xu
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  4. Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
    AAAI 2026 ·
    Shiyuan Li
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  5. Backdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models
    ACL 2026 ·
    Liang Lin
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  6. EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations
    SIGKDD 2026 ·
    Xinyun Zhou
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  7. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
    ACL 2026 ·
    Yibo Yan
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  8. From Memorization to Creation: Evaluating the Cognitive Depth of LLM?Generated Educational Questions
    SIGKDD 2026 ·
    Xiaolong Wang
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  9. HearSay Benchmark: Do Audio LLMs Leak What They Hear?
    ACL 2026 ·
    Jin Wang
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  10. How to Train Your Mamba for Time Series Forecasting
    SIGKDD 2026 ·
    Jiaxi Hu
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  11. NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
    AAAI 2026 ·
    Yuan Gao
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  12. OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
    AAAI 2026 ·
    Sisuo Lyu
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  13. Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
    ACL 2026 ·
    Yibo Yan
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  14. SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
    AAAI 2026 ·
    Ruijia Zhang
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  15. Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
    ACL 2026 ·
    Yifan Zhang
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  16. Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback
    ACL 2026 ·
    Yiyuan Yang
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  17. A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges
    ACL 2025 ·
    Yibo Yan
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  18. A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
    SIGKDD 2025 ·
    Kun Yi
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  19. A Survey on Trustworthy LLM Agents: Threats and Countermeasures
    SIGKDD 2025 ·
    Miao Yu
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  20. AI for Supply Chain: Today and Future
    SIGKDD 2025 ·
    Ranak Roy Chowdhury
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  21. AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction
    AAAI 2025 ·
    Tianlong Xu
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  22. Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
    ACL 2025 ·
    Hang Li
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  23. Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
    NeurIPS 2025 ·
    Guiyao Tie
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  24. Cross-Domain Conditional Diffusion Models for Time Series Imputation
    ECML-PKDD 2025 ·
    Kexin Zhang
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  25. Debiasing Multimodal Large Language Models via Penalization of Language Priors
    ACM MM 2025 ·
    Yifan Zhang
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  26. Deep Learning for Multivariate Time Series Imputation: A Survey
    IJCAI 2025 ·
    Jun Wang
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  27. DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
    SIGKDD 2025 ·
    Hao Wu
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  28. DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
    EMNLP 2025 ·
    Hanjun Luo
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  29. EMD-Period: Detecting Multi-periodicity in Industrial Cloud Clusters via Time-Frequency Decomposition
    SIGKDD 2025 ·
    Qiming Chen
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  30. FRT: Flow-based Reconcile Transformer for Hierarchical Time Series
    SIGKDD 2025 ·
    Shiyu Wang
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  31. Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
    SIGKDD 2025 ·
    Yuxuan Liang
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  32. Improving Bilinear RNN with Closed-loop Control
    NeurIPS 2025 ·
    Jiaxi Hu
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  33. Knowledge Tagging with Large Language Model Based Multi-Agent System
    AAAI 2025 ·
    Hang Li
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  34. LLM Agents for Education: Advances and Applications
    EMNLP 2025 ·
    Zhendong Chu
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  35. Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting
    IJCAI 2025 ·
    Weiqi Chen
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  36. MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
    ICLR 2025 ·
    Yifan Zhang
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  37. MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
    ACL 2025 ·
    Yibo Yan
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  38. Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
    NeurIPS 2025 ·
    Zhongzheng Qiao
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  39. Multimodal Learning for Spatio-Temporal Data Mining
    ACM MM 2025 ·
    Siru Zhong
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  40. NetSafe: Exploring the Topological Safety of Multi-agent System
    ACL 2025 ·
    Miao Yu
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  41. Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
    SIGKDD 2025 ·
    Yaxuan Wang
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  42. OneForecast: A Universal Framework for Global and Regional Weather Forecasting
    ICML 2025 ·
    Yuan Gao
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  43. Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
    ICLR 2025 ·
    Zaige Fei
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  44. Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
    SIGKDD 2025 ·
    Yingtao Luo
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  45. Position: LLMs Can be Good Tutors in English Education
    EMNLP 2025 ·
    Jingheng Ye
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  46. SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders
    NeurIPS 2025 ·
    Zhuohao Yu
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  47. SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances
    SIGKDD 2025 ·
    Wei Jin
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  48. ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
    NeurIPS 2025 ·
    Bosong Huang
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  49. The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs
    SIGKDD 2025 ·
    Sanjay Purushotham
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  50. The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking
    WWW 2025 · Qingsong Wen
  51. The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking
    SIGKDD 2025 · Qingsong Wen
  52. The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework
    ACM MM 2025 ·
    Feiran Liu
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  53. The International Workshop on Spatio-Temporal Data Mining from the Web
    WWW 2025 ·
    Yuxuan Liang
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  54. The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications
    WWW 2025 ·
    Ming Jin
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  55. Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
    ACL 2025 ·
    Yaxuan Kong
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  56. Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
    ICLR 2025 ·
    Xiaoming Shi
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  57. Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
    ICML 2025 ·
    Siru Zhong
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  58. UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks
    EMNLP 2025 ·
    Zhendong Chu
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  59. Unlocking the Power of LSTM for Long Term Time Series Forecasting
    AAAI 2025 ·
    Yaxuan Kong
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  60. UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
    AAAI 2025 ·
    Xixuan Hao
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  61. AI Agent for Information Retrieval: Generating and Ranking
    CIKM 2024 ·
    Yongfeng Zhang
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  62. AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning
    SIGKDD 2024 · Qingsong Wen
  63. Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud
    CIKM 2024 ·
    Chaoli Zhang
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  64. Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
    NeurIPS 2024 ·
    Jiaxi Hu
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  65. AutoSurvey: Large Language Models Can Automatically Write Surveys
    NeurIPS 2024 ·
    Yidong Wang
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  66. BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
    ICML 2024 ·
    Shikai Fang
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  67. CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
    ICLR 2024 ·
    Xue Wang
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  68. Cluster-Wide Task Slowdown Detection in Cloud System
    SIGKDD 2024 ·
    Feiyi Chen
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  69. CulturePark: Boosting Cross-cultural Understanding in Large Language Models
    NeurIPS 2024 ·
    Cheng Li
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  70. EasyTPP: Towards Open Benchmarking Temporal Point Processes
    ICLR 2024 ·
    Siqiao Xue
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  71. Explaining Time Series via Contrastive and Locally Sparse Perturbations
    ICLR 2024 ·
    Zichuan Liu
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  72. Foundation Models for Time Series Analysis: A Tutorial and Survey
    SIGKDD 2024 ·
    Yuxuan Liang
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  73. Generative Semi-supervised Graph Anomaly Detection
    NeurIPS 2024 ·
    Hezhe Qiao
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  74. Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
    SIGKDD 2024 ·
    Zheng Dong
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  75. HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting
    CIKM 2024 ·
    Shubao Zhao
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  76. LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
    WWW 2024 ·
    Feiyi Chen
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  77. Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
    ICDE 2024 ·
    Feiyi Chen
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  78. LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
    SIGKDD 2024 ·
    Aoxiao Zhong
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  79. Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection
    VLDB 2024 ·
    Zhihao Zhuang
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  80. Online GNN Evaluation Under Test-time Graph Distribution Shifts
    ICLR 2024 ·
    Xin Zheng
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  81. Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
    ICLR 2024 ·
    Peng Chen
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  82. Position: What Can Large Language Models Tell Us about Time Series Analysis
    ICML 2024 ·
    Ming Jin
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  83. Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
    IJCAI 2024 ·
    Huaiwu Zhang
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  84. RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
    EMNLP 2024 ·
    Xuanwang Zhang
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  85. RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
    CIKM 2024 ·
    Zefan Wang
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  86. RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
    VLDB 2024 ·
    Biao Ouyang
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  87. RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
    ICLR 2024 ·
    Hao Cheng
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  88. Stable Synthetic Control with Anomaly Detection for Causal Inference
    SDM 2024 ·
    Qiang Li
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  89. Task-oriented Time Series Imputation Evaluation via Generalized Representers
    NeurIPS 2024 ·
    Zhixian Wang
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  90. The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs
    SIGKDD 2024 ·
    Sanjay Purushotham
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  91. Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
    NeurIPS 2024 ·
    Qingxiang Liu
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  92. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
    ICLR 2024 ·
    Ming Jin
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  93. Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
    NeurIPS 2024 ·
    Haoxin Liu
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  94. UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
    WWW 2024 ·
    Yibo Yan
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