👨‍💻 Talks and presentations

Collaborative Time Series Imputation through Cross-city Meta Learning

Apr. 23–29, 2025, Singapore EXPO, Singapore
Conference Poster Presentation @ ICLR 2025. [Poster]

(🫢 I got a photo with Prof. Kaiming in the conference hall.)

Exploring the Roles of LLMs in Transportation Systems: A Framework and Case Study

Apr. 7, 2025, Online
交通邦TRZ青年讲堂第六期 [Slides].

LLM-enhanced Geospatial Representation and Traffic Management

Feb. 28, 2025, Block Z, CEE, PolyU Campus
Research Seminar Presentation.

LLM-empowered Joint Estimation and Prediction of City-wide Delivery Demand

Jan. 5–9, 2025, Walter E. Washington Convention Center, Washington DC, U.S.
Conference Poster Presentation @ 104th TRB Annual Meeting. [Poster]

Spatiotemporal Implicit Neural Representations for Traffic Data Imputation

Dec. 9-10 2024, InterContinental Grand Stanford, Tsimshatsui East, Hong Kong
Conference Poster Presentation @ The 28th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2024). [Poster]

Channel-aware Low-rank Adaptation for Time Series Forecasting

Oct. 21–25, 2024, Boise Centre, Boise, Idaho, USA
Conference Poster Presentation @ 33rd ACM International Conference on Information and Knowledge Management (CIKM’24). [Poster]

Generalizable Implicit Neural Representations as a Universal Traffic Data Learner

Sep. 2-4, 2024, Cultural Conference Center of Heraklion in Crete, Greece
Conference Podium Presentation @ The Conference in Emerging Technologies in Transportation Systems (TRC-30). [Paper]

Low-rankness Induced Transformers for Generalizable Spatiotemporal Imputation

Aug. 25-29 2024, CCIB, Barcelona, Spain
Conference Podium Presentation @ The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’24). [Video]