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Chenjuan Guo

44 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

VLDB ×9ICDE ×7ICLR ×5SIGKDD ×5NeurIPS ×4AAAI ×3CIKM ×3ICML ×3CVPR ×1ECCV ×1ECML-PKDD ×1EMNLP ×1WSDM ×1

Frequent coauthors

Xiangfei Qiu
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Xingjian Wu
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Buang Zhang
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Ronghui Xu
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Kai Zhao
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Yihang Wang
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Zhe Li
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Hao Miao
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Xvyuan Liu
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Junkai Lu
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Yinan Chen
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Xiuwen Li
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Papers

  1. An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data
    ICDE 2026 ·
    Buang Zhang
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  2. MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction
    SIGKDD 2026 ·
    Ronghui Xu
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  3. Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline
    AAAI 2026 ·
    Xvyuan Liu
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  4. Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
    AAAI 2026 ·
    Junkai Lu
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  5. Waterlogformer: A Multimodal Model for Waterlogging Prediction
    WSDM 2026 ·
    Yinan Chen
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  6. AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation
    ICDE 2025 ·
    Xiuwen Li
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  7. AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
    ICDE 2025 ·
    Yuxuan Chen
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  8. Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
    ICLR 2025 ·
    Jindong Tian
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  9. Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
    AAAI 2025 ·
    Tengxue Zhang
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  10. CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
    ICLR 2025 ·
    Xingjian Wu
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  11. CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
    NeurIPS 2025 ·
    Beibu Li
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  12. DBLoss: Decomposition-based Loss Function for Time Series Forecasting
    NeurIPS 2025 ·
    Xiangfei Qiu
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  13. DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
    SIGKDD 2025 ·
    Xiangfei Qiu
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  14. Data Driven Decision Making with Time Series and Spatio-Temporal Data
    ICDE 2025 ·
    Bin Yang
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  15. EasyTime: Time Series Forecasting Made Easy
    ICDE 2025 ·
    Xiangfei Qiu
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  16. Enhancing Diversity for Data-free Quantization
    CVPR 2025 ·
    Kai Zhao
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  17. Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
    NeurIPS 2025 ·
    Xingjian Wu
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  18. FinD3: A Dual 3D State Space Model with Dynamic Hypergraph for Financial Stock Prediction
    CIKM 2025 ·
    Jieyuan Mei
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  19. K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
    ICML 2025 ·
    Xingjian Wu
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  20. Land Deformation Prediction via Multi-modal Adaptive Association Learning
    CIKM 2025 ·
    Wanghui Qiu
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  21. Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
    ICLR 2025 ·
    Sicong Liu
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  22. Learning to Factorize Spatio-Temporal Foundation Models
    NeurIPS 2025 ·
    Siru Zhong
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  23. LightGTS: A Lightweight General Time Series Forecasting Model
    ICML 2025 ·
    Yihang Wang
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  24. MM-Path: Multi-modal, Multi-granularity Path Representation Learning
    SIGKDD 2025 ·
    Ronghui Xu
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  25. MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
    EMNLP 2025 ·
    Siyu Yan
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  26. TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
    VLDB 2025 ·
    Xiangfei Qiu
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  27. TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
    SIGKDD 2025 ·
    Zhe Li
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  28. Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
    ICLR 2025 ·
    Qichao Shentu
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  29. Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
    ICML 2025 ·
    Yihang Wang
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  30. Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
    SIGKDD 2025 ·
    Kai Zhao
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  31. A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
    ECML-PKDD 2024 ·
    Haomin Yu
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  32. A Memory Guided Transformer for Time Series Forecasting
    VLDB 2024 ·
    Yunyao Cheng
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  33. A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
    ICDE 2024 ·
    Hao Miao
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  34. Dependency-Aware Differentiable Neural Architecture Search
    ECCV 2024 ·
    Buang Zhang
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  35. Efficient Stochastic Routing in Path-Centric Uncertain Road Networks
    VLDB 2024 · Chenjuan Guo
  36. Fully Automated Correlated Time Series Forecasting in Minutes
    VLDB 2024 ·
    Xinle Wu
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  37. Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching
    VLDB 2024 ·
    Hao Miao
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  38. Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection
    VLDB 2024 ·
    Zhihao Zhuang
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  39. Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
    CIKM 2024 ·
    Zhe Li
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  40. Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
    ICLR 2024 ·
    Peng Chen
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  41. QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models
    VLDB 2024 ·
    David Campos
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  42. RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
    VLDB 2024 ·
    Biao Ouyang
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  43. Routing with Massive Trajectory Data
    ICDE 2024 ·
    Christian S. Jensen
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  44. TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
    VLDB 2024 ·
    Xiangfei Qiu
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