Publications (15)
Carbide: Highly Reliable Networks Through Real-Time Multiple Control Plane Composition
Shenshen Chen, Geng Li, Dennis Duan +7
Achieving highly reliable networks is essential for network operators to ensure proper packet delivery in the event of software errors or hardware failures. Networks must ensure re…
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
Zihan Wang, Xuri Ge, Joemon M. Jose +4
Retrieval-augmented generation (RAG) has gained wide attention as the key component to improve generative models with external knowledge augmentation from information retrieval. It…
Less is More: Non-uniform Road Segments are Efficient for Bus Arrival Prediction
Zhen Huang, Jiaxin Deng, Jiayu Xu +2
In bus arrival time prediction, the process of organizing road infrastructure network data into homogeneous entities is known as segmentation. Segmenting a road network is widely r…
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
Junchen Fu, Xuri Ge, Xin Xin +5
Multimodal representation learning has garnered significant attention in the AI community, largely due to the success of large pre-trained multimodal foundation models like LLaMA,…
Cloud-Aided State Estimation of A Full-Car Semi-Active Suspension System
Lixian Zhang, Xunyuan Yin, Junnan Shen +1
In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a vehicle-to…
Entropy production rate of nonequilibrium systems from the Fokker-Planck equation
Haitao Yu, Jiulin Du
The entropy production rate of nonequilibrium systems is studied via the Fokker-Planck equation. This approach, based on the entropy production rate equation given by Schnakenberg…
Importance-aware Topic Modeling for Discovering Public Transit Risk from Noisy Social Media
Fatima Ashraf, Muhammad Ayub Sabir, Jiaxin Deng +2
Urban transit agencies increasingly turn to social media to monitor emerging service risks such as crowding, delays, and safety incidents, yet the signals of concern are sparse, sh…
Unsupervised Abnormal Stop Detection for Long Distance Coaches with Low-Frequency GPS
Jiaxin Deng, Junbiao Pang, Jiayu Xu +1
In our urban life, long distance coaches supply a convenient yet economic approach to the transportation of the public. One notable problem is to discover the abnormal stop of the…
Finding A Taxi with Illegal Driver Substitution Activity via Behavior Modelings
Junbiao Pang, Muhammad Ayub Sabir, Zhuyun Wang +4
In our urban life, Illegal Driver Substitution (IDS) activity for a taxi is a grave unlawful activity in the taxi industry, possibly causing severe traffic accidents and painful so…
LoReC: Rethinking Large Language Models for Graph Data Analysis
Hongyu Zhan, Qixin Wang, Yusen Tan +6
The advent of Large Language Models (LLMs) has fundamentally reshaped the way we interact with graphs, giving rise to a new paradigm called GraphLLM. As revealed in recent studies,…
Rectify and Align GPS Points to Parking Spots via Rank-1 Constraint
Jiaxing Deng, Junbiao Pang, Zhicheng Wang +1
Parking spots are essential components, providing vital mobile resources for residents in a city. Accurate Global Positioning System (GPS) points of parking spots are the core data…
Splitting droplet through coalescence of two different three-phase contact lines
Haitao Yu, Pallav Kant, Brendan Dyett +2
Moving contact lines of more than two phases dictate a large number of interfacial phenomena. Despite its significance to fundamental and applied processes, the contact lines at a…
Experimental Study of the Nematic Transition in Granular Spherocylinder Packings under Tapping
Haitao Yu, Zhikun Zeng, Ye Yuan +3
Using x-ray tomography, we experimentally investigate the nematic transition in granular spherocylinder packings induced by tapping. Upon the validation of the Edwards ensemble fra…
Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark
Yao Wang, Xin Liu, Zhuochen Liu +5
Existing human value datasets do not directly support value understanding in factual news: many are actor-agnostic, rely on isolated utterances or synthetic scenarios, and lack exp…
Point-Based Radiance Fields for Controllable Human Motion Synthesis
Haitao Yu, Deheng Zhang, Peiyuan Xie +1
This paper proposes a novel controllable human motion synthesis method for fine-level deformation based on static point-based radiance fields. Although previous editable neural rad…