Publications (75)
TrustMix: How to Mix Messages in a Mobile Ad-hoc Network
Yu Shen, Aiswarya Walter, Stefanie Roos
Mix networks are a highly effective way to achieve anonymity, defending against a wide range of traffic-analysis attacks. However, mix networks are usually designed for infrastruct…
Competition between shared autonomous vehicles and public transit: A case study in Singapore
Baichuan Mo, Zhejing Cao, Hongmou Zhang +2
Emerging autonomous vehicles (AV) can either supplement the public transportation (PT) system or compete with it. This study examines the competitive perspective where both AV and…
ROD: Reception-aware Online Distillation for Sparse Graphs
Wentao Zhang, Yuezihan Jiang, Yang Li +6
Graph neural networks (GNNs) have been widely used in many graph-based tasks such as node classification, link prediction, and node clustering. However, GNNs gain their performance…
SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence
Jie Jiang, Haining Xie, Siqi Shen +12
With the proliferation of Large Language Models (LLMs) in Business Intelligence (BI), existing solutions face critical challenges in industrial deployments: functionality deficienc…
Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models
Jingchen Zhu, Chenhao Xue, Yiqi Chen +13
The emergence of the large language model~(LLM) poses an exponential growth of demand for computation throughput, memory capacity, and communication bandwidth. Such a demand growth…
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation
Laura Zheng, Wenjie Wei, Tony Wu +5
Achieving robustness in image segmentation models is challenging due to the fine-grained nature of pixel-level classification. These models, which are crucial for many real-time pe…