collaborators

7 papers

cs.CV2026

AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild

Baiyu Chen, Zechen Li, Wilson Wongso +5

As wearable and mobile devices become increasingly embedded in daily life, they offer a practical way to continuously sense human motion in the wild. But inertial signals are highl…

cs.AI2026

TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding

Lihuan Li, Wilson Wongso, Baiyu Chen +6

Urban mobility is naturally expressed both as trajectories in space and as natural-language descriptions of travel intent, constraints, and preferences. However, prior work rarely…

cs.LG2026

TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation

Wilson Wongso, Lihuan Li, Arian Prabowo +4

Generating high-fidelity synthetic GPS trajectories is increasingly important for applications in transportation, urban planning, and what-if scenario simulation, especially as pri…

cs.CV20261 cited

COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition

Baiyu Chen, Wilson Wongso, Zechen Li +3

The goal of creating intelligent, human-centered wearable systems for continuous activity understanding faces a fundamental trade-off: Egocentric video-based models capture rich se…

cs.LG2026

Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks

Wilson Wongso, Hao Xue, Flora D. Salim

Understanding human mobility through Point-of-Interest (POI) trajectory modeling is increasingly important for applications such as urban planning, personalized services, and gener…

cs.CL2026

Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG

Baiyu Chen, Wilson Wongso, Xiaoqian Hu +2

This paper presents the technical solution developed by team CRUISE for the KDD Cup 2025 Meta Comprehensive RAG Benchmark for Multi-modal, Multi-turn (CRAG-MM) challenge. The chall…