Publications (6)
OCEAN: An Openspace Collision-free Trajectory Planner for Autonomous Parking Based on ADMM
Dongxu Wang, Yanbin Lu, Weilong Liu +4
In this paper, we propose an Openspace Collision-freE trAjectory plaNner (OCEAN) for autonomous parking. OCEAN is an optimization-based trajectory planner accelerated by Alternatin…
PALR: Personalization Aware LLMs for Recommendation
Fan Yang, Zheng Chen, Ziyan Jiang +3
Large language models (LLMs) have recently received significant attention for their exceptional capabilities. Despite extensive efforts in developing general-purpose LLMs that can…
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
Zheng Chen, Ziyan Jiang, Fan Yang +5
Conversational AI systems such as Alexa need to understand defective queries to ensure robust conversational understanding and reduce user friction. These defective queries often a…
RecMind: Large Language Model Powered Agent For Recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen +7
While the recommendation system (RS) has advanced significantly through deep learning, current RS approaches usually train and fine-tune models on task-specific datasets, limiting…
Towards Plugging Privacy Leaks in Domain Name System
Yanbin Lu, Gene Tsudik
Privacy leaks are an unfortunate and an integral part of the current Internet domain name resolution. Each DNS query generated by a user reveals -- to one or more DNS servers -- th…
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
Xinli Yu, Zheng Chen, Yuan Ling +3
This paper presents a novel study on harnessing Large Language Models' (LLMs) outstanding knowledge and reasoning abilities for explainable financial time series forecasting. The a…