Tian Lan

Tian Lan

PhD Student in AI/ML researching causal inference and large language models.

Tian Lan

AI/ML Ph.D. Student

Learning reliable structure from complex data

I am a Ph.D. student (2023-present) advised by Prof. Chen Zhang. I received my Bachelor's degree in Industrial Engineering from Tsinghua University (2019-2023).

I develop principled methods for making machine learning reliable on real-world temporal and multimodal data — from foundation models for zero-shot anomaly detection to causal structure learning for complex systems.

Research interests Causal inference Large language models Time-series anomaly detection Dynamic systems
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114Citations 7h-index 6i10-index
Google Scholar · updated 2026-07-17

Latest updates

News

Recent papers, preprints, revisions, and publication updates.

2026-06 Accepted
Paper accepted to KDD 2026: SCALE: Style-Causal Disentanglement with Adaptive Lifelong Expert for Online Latent-domain Anomaly Detection
2026-05 Accepted
Paper accepted to ICML 2026: Towards foundation models for zero-shot time series anomaly detection: Leveraging synthetic data and relative context discrepancy
arXiv link
2026-02 Preprint
Preprint posted: VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
arXiv link
2025-09 Preprint
Preprint posted: Towards foundation models for zero-shot time series anomaly detection: Leveraging synthetic data and relative context discrepancy
arXiv link
2025-09 Preprint
Preprint posted: AXIS: Explainable Time Series Anomaly Detection with Large Language Models
arXiv link
See all news →

Selected work

Research

Projects across causal discovery, foundation models, time-series analysis, and applied AI systems.

2026KDD
SCALE: Style-Causal Disentanglement with Adaptive Lifelong Expert for Online Latent-domain Anomaly Detection
Y Lu, Y Gao, T Lan, Y Yang, W He, M Wang, C Zhang
KDD 2026
See all publications →

Background

Experience

Education and research positions.

  1. 2023 – Present
    Ph.D. Student, Industrial Engineering
    Tsinghua University · Advised by Prof. Chen Zhang
  2. 2022 – 2023
    Research Intern
    SenseTime Research · Causal graph learning for urban traffic
  3. 2019 – 2023
    B.Eng., Industrial Engineering
    Tsinghua University

Recognition

Awards

Selected academic awards, scholarships, and honors.

2025
First-Class Comprehensive Scholarship
Tsinghua University
2024
First-Class Comprehensive Scholarship
Tsinghua University
2020
“Haodushu” Scholarship
Tsinghua University
2018-03
Gold Medal
China Team Selection Competition (CTSC)

Academic profile

CV

A concise academic CV with education, publications, research experience, awards, and service.

View or download my latest curriculum vitae.

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