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Lintao Ma

15 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

ICLR ×4AAAI ×3ACL ×2ACM MM ×1CIKM ×1EMNLP ×1ICDE ×1NeurIPS ×1WWW ×1

Frequent coauthors

Jie Sun
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Zikai Song
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Shiyu Wang
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Mohan Gao
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Jian Jiang
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Kanghui Ning
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Lin Yong
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Run Luo
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Fan Zhou
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Ming Jin
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Yong Liu
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Papers

  1. Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting
    WWW 2026 ·
    Mohan Gao
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  2. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs
    ACL 2026 ·
    Jie Sun
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  3. Tackling Workload Forecasting Challenges with an Offline-Online Dynamic Framework
    ICDE 2026 ·
    Jian Jiang
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  4. LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
    EMNLP 2025 ·
    Jie Sun
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  5. Robust Preference Optimization via Dynamic Target Margins
    ACL 2025 ·
    Jie Sun
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  6. TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
    NeurIPS 2025 ·
    Kanghui Ning
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  7. Temporal Coherent Object Flow for Multi-Object Tracking
    AAAI 2025 ·
    Zikai Song
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  8. Autogenic Language Embedding for Coherent Point Tracking
    ACM MM 2024 ·
    Zikai Song
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  9. Continuous Invariance Learning
    ICLR 2024 ·
    Lin Yong
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  10. DiffusionTrack: Diffusion Model for Multi-Object Tracking
    AAAI 2024 ·
    Run Luo
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  11. GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
    AAAI 2024 ·
    Fan Zhou
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  12. Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
    CIKM 2024 ·
    Shiyu Wang
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  13. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
    ICLR 2024 ·
    Ming Jin
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  14. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
    ICLR 2024 ·
    Shiyu Wang
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  15. iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
    ICLR 2024 ·
    Yong Liu
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