103 citations · 166 across the 14 of their papers we have counts for
14 papers
Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions
Yue Cao, Sifan Li, Chenchen Lv +6
In recent years, low-carbon transportation has become an indispensable part as sustainable development strategies of various countries, and plays a very important responsibility in…
Robot Behavior-Tree-Based Task Generation with Large Language Models
Yue Cao, C. S. George Lee
Nowadays, the behavior tree is gaining popularity as a representation for robot tasks due to its modularity and reusability. Designing behavior-tree tasks manually is time-consumin…
Contrastive Information Transfer for Pre-Ranking Systems
Yue Cao, XiaoJiang Zhou, Peihao Huang +3
Real-word search and recommender systems usually adopt a multi-stage ranking architecture, including matching, pre-ranking, ranking, and re-ranking. Previous works mainly focus on…
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Yue Cao, XiaoJiang Zhou, Jiaqi Feng +4
Rich user behavior data has been proven to be of great value for Click-Through Rate (CTR) prediction applications, especially in industrial recommender, search, or advertising syst…
Correlation-Aware Deep Tracking
Fei Xie, Chunyu Wang, Guangting Wang +3
Robustness and discrimination power are two fundamental requirements in visual object tracking. In most tracking paradigms, we find that the features extracted by the popular Siame…
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation
Yue Cao, Fatemeh H. Fard
Studies show that developers' answers to the mobile app users' feedbacks on app stores can increase the apps' star rating. To help app developers generate answers that are related…
Self-supervised Learning from 100 Million Medical Images
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor +8
Building accurate and robust artificial intelligence systems for medical image assessment requires not only the research and design of advanced deep learning models but also the cr…
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
Muhammad Khalid, Liang Wang, Kezhi Wang +3
In this paper, to reduce the congestion rate at the city center and increase the quality of experience (QoE) of each user, the framework of long-range autonomous valet parking (LAV…
Deep Triplet Quantization
Bin Liu, Yue Cao, Mingsheng Long +2
Deep hashing establishes efficient and effective image retrieval by end-to-end learning of deep representations and hash codes from similarity data. We present a compact coding sol…
Bayesian active learning for optimization and uncertainty quantification in protein docking
Yue Cao, Yang Shen
Motivation: Ab initio protein docking represents a major challenge for optimizing a noisy and costly "black box"-like function in a high-dimensional space. Despite progress in this…
Proportional fairness in wireless powered CSMA/CA based IoT networks
Xiaomin Chen, Zhan Shu, Kezhi Wang +2
This paper considers the deployment of a hybrid wireless data/power access point in an 802.11-based wireless powered IoT network. The proportionally fair allocation of throughputs…
An Electric Vehicle Charging Management Scheme Based on Publish/Subscribe Communication Framework
Yue Cao, Ning Wang, George Kamel +1
Motivated by alleviating CO pollution, Electric Vehicle (EV) based applications have recently received wide interests from both commercial and research communities by using ele…
Correlation Hashing Network for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang +1
Hashing is widely applied to approximate nearest neighbor search for large-scale multimodal retrieval with storage and computation efficiency. Cross-modal hashing improves the qual…
A Geographic Multi-Copy Routing Scheme for DTNs With Heterogeneous Mobility
Yue Cao, Kaimin Wei, Geyong Min +3
Previous geographic routing schemes in Delay/Disruption Tolerant Networks (DTNs) only consider the homogeneous scenario where nodal mobility is identical. Motivated by this gap, we…