PPaperPicks

Bin Yang

East China Normal University, China

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

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Venues

VLDB ×10ICDE ×8SIGKDD ×7ICLR ×5CIKM ×4ICML ×4NeurIPS ×4AAAI ×3WWW ×2CVPR ×1ECCV ×1ECML-PKDD ×1WSDM ×1

Frequent coauthors

Xiangfei Qiu
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Xingjian Wu
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Hao Miao
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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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Qing Wei
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Xvyuan Liu
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Junkai Lu
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Yinan Chen
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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. Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection
    WWW 2026 ·
    Qing Wei
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  3. MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction
    SIGKDD 2026 ·
    Ronghui Xu
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  4. Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline
    AAAI 2026 ·
    Xvyuan Liu
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  5. Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
    AAAI 2026 ·
    Junkai Lu
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  6. Waterlogformer: A Multimodal Model for Waterlogging Prediction
    WSDM 2026 ·
    Yinan Chen
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  7. 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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  8. AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
    ICDE 2025 ·
    Yuxuan Chen
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  9. Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
    ICLR 2025 ·
    Jindong Tian
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  10. Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
    AAAI 2025 ·
    Tengxue Zhang
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  11. CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
    ICLR 2025 ·
    Xingjian Wu
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  12. CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
    NeurIPS 2025 ·
    Beibu Li
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  13. DBLoss: Decomposition-based Loss Function for Time Series Forecasting
    NeurIPS 2025 ·
    Xiangfei Qiu
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  14. DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
    SIGKDD 2025 ·
    Xiangfei Qiu
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  15. Data Driven Decision Making with Time Series and Spatio-Temporal Data
    ICDE 2025 · Bin Yang
  16. EasyTime: Time Series Forecasting Made Easy
    ICDE 2025 ·
    Xiangfei Qiu
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  17. Enhancing Diversity for Data-free Quantization
    CVPR 2025 ·
    Kai Zhao
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  18. Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
    NeurIPS 2025 ·
    Xingjian Wu
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  19. FinD3: A Dual 3D State Space Model with Dynamic Hypergraph for Financial Stock Prediction
    CIKM 2025 ·
    Jieyuan Mei
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  20. Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
    SIGKDD 2025 ·
    Yuxuan Liang
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  21. K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
    ICML 2025 ·
    Xingjian Wu
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  22. Land Deformation Prediction via Multi-modal Adaptive Association Learning
    CIKM 2025 ·
    Wanghui Qiu
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  23. Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
    ICLR 2025 ·
    Sicong Liu
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  24. Learning to Factorize Spatio-Temporal Foundation Models
    NeurIPS 2025 ·
    Siru Zhong
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  25. LightGTS: A Lightweight General Time Series Forecasting Model
    ICML 2025 ·
    Yihang Wang
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  26. MM-Path: Multi-modal, Multi-granularity Path Representation Learning
    SIGKDD 2025 ·
    Ronghui Xu
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  27. SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation
    SIGKDD 2025 ·
    Hongfan Gao
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  28. TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
    VLDB 2025 ·
    Xiangfei Qiu
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  29. TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
    SIGKDD 2025 ·
    Zhe Li
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  30. The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models
    CIKM 2025 ·
    Hao Miao
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  31. Towards Lightweight Time Series Forecasting: A Patch-Wise Transformer with Weak Data Enriching
    ICDE 2025 ·
    Meng Wang
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  32. Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
    ICLR 2025 ·
    Qichao Shentu
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  33. Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
    ICML 2025 ·
    Yihang Wang
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  34. Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
    SIGKDD 2025 ·
    Kai Zhao
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  35. Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
    WWW 2025 ·
    Zijian Zhang
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  36. A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
    ECML-PKDD 2024 ·
    Haomin Yu
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  37. A Memory Guided Transformer for Time Series Forecasting
    VLDB 2024 ·
    Yunyao Cheng
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  38. A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
    ICDE 2024 ·
    Hao Miao
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  39. Dependency-Aware Differentiable Neural Architecture Search
    ECCV 2024 ·
    Buang Zhang
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  40. Efficient Stochastic Routing in Path-Centric Uncertain Road Networks
    VLDB 2024 ·
    Chenjuan Guo
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  41. Fully Automated Correlated Time Series Forecasting in Minutes
    VLDB 2024 ·
    Xinle Wu
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  42. Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching
    VLDB 2024 ·
    Hao Miao
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  43. Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection
    VLDB 2024 ·
    Zhihao Zhuang
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  44. Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
    CIKM 2024 ·
    Zhe Li
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  45. Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
    ICLR 2024 ·
    Peng Chen
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  46. Position: What Can Large Language Models Tell Us about Time Series Analysis
    ICML 2024 ·
    Ming Jin
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  47. QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models
    VLDB 2024 ·
    David Campos
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  48. RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
    VLDB 2024 ·
    Biao Ouyang
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  49. Routing with Massive Trajectory Data
    ICDE 2024 ·
    Christian S. Jensen
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  50. TEAM: Topological Evolution-aware Framework for Traffic Forecasting
    VLDB 2024 ·
    Duc Kieu
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  51. TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
    VLDB 2024 ·
    Xiangfei Qiu
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