Xiwen Jiang

Ph.D. Student

About Me

I am currently a second-year Ph.D. student at Renmin University of China, under the supervision of Prof. Xiaofeng Meng. Prior to this, I completed my M.Sc. degree at Yunnan University, where I was advised by Prof. Lizhen Wang.

My recent research focuses on Causal Inference and Spatio-Temporal Data Management. Currently, I am working on identifying invariants for traffic prediction tasks, such as traffic flow forecasting and travel time estimation. My goal is to design a robust model with strong generalization performance. I am also deeply interested in Large Language Models and hope to incorporate them into my future research.

Publications

⬇️ Completed as part of my doctoral studies at Renmin University of China

IUD-TTE: Towards Invariant and Uncertainty in Travel Time Estimation

Xiwen Jiang, Xiaofeng Meng*

To be submitted to AAAI 2026; will be available on arXiv soon.

⬇️ Completed during my master’s studies at Yunnan University

A Parallel Algorithm for Regional Co-location Mining based on Fuzzy Density Peak Clustering (in Chinese)

Xiwen Jiang, Lizhen Wang*, Vanha Tran

Sci Sin Inform, 2023.

A Multi-View Anomalous Co-location Detection Framework considering Both Intra- and Inter-Feature Couplings

Xiwen Jiang, Lizhen Wang*, Junyi Li, Hongmei Chen, Vanha Tran

IEEE International Conference on Mobile Data Management (MDM), 2023.

FITTER: Post-mining User-preferred Co-location Patterns Interactively

Xiwen Jiang, Lizhen Wang*, Peizhong Yang, Hongmei Chen

Data Mining and Knowledge Discovery. In peer review (Revised).

Awards

• 2021 CCF CCSP (Collegiate Computer Systems & Programming contest) Southwest China Regional Gold Award [Link]

• Outstanding Graduate of Yunnan Province (Class of 2023)

• Recipient of the Outstanding Student Scholarship annually from 2016 to present

Services

• Knowledge and Information Systems | Reviewer

• ACM Web Conference | Reviewer

Skills

• Coding Language: C/C++ ≈ Python ≈ php ≈ SQL > Matlab ≈ Bash > Java > Go.

• Languages: Native: Chinese (including dialects such as Shanghainese and Jianghuai Mandarin); Fluent: English; Basic: French.

• Other skills:

  • Technical: Proficient in scientific Python libraries (TensorFlow, PyTorch, Pandas, NumPy, SciPy, etc.), Git, and Linux.

  • Personal Interests: Violin 🎻, skiing, climbing, etc.