18 citations · 44 across the 9 of their papers we have counts for
9 papers
Embark Now: User Demand Oriented Framework for Multi-day Urban Travel Itinerary Planning
Rongbo Qi, Yaqi Zhang, Shijun Yan +3
In large urban areas, planning multi-day travel itineraries is challenging due to the abundance of Points of Interest (POIs), diverse user preferences, and constraints such as open…
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
Tianhao Huang, Xuan Pan, Xiangrui Cai +2
Next Point-of-Interests (POIs) recommendation task aims to provide a dynamic ranking of POIs based on users' current check-in trajectories. The recommendation performance of this t…
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
Xiangrui Cai, Yang Wang, Sihan Xu +4
Enterprises and organizations are faced with potential threats from insider employees that may lead to serious consequences. Previous studies on insider threat detection (ITD) main…
LiSum: Open Source Software License Summarization with Multi-Task Learning
Linyu Li, Sihan Xu, Yang Liu +5
Open source software (OSS) licenses regulate the conditions under which users can reuse, modify, and distribute the software legally. However, there exist various OSS licenses in t…
LiResolver: License Incompatibility Resolution for Open Source Software
Sihan Xu, Ya Gao, Lingling Fan +3
Open source software (OSS) licenses regulate the conditions under which OSS can be legally reused, distributed, and modified. However, a common issue arises when incorporating thir…
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Yu Zhao, Yike Wu, Xiangrui Cai +3
Entity Alignment (EA) aims to find the equivalent entities between two Knowledge Graphs (KGs). Existing methods usually encode the triples of entities as embeddings and learn to al…
BadPrompt: Backdoor Attacks on Continuous Prompts
Xiangrui Cai, Haidong Xu, Sihan Xu +2
The prompt-based learning paradigm has gained much research attention recently. It has achieved state-of-the-art performance on several NLP tasks, especially in the few-shot scenar…
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
Yu Zhao, Xiangrui Cai, Yike Wu +4
Multimodal knowledge graph completion (MKGC) aims to predict missing entities in MKGs. Previous works usually share relation representation across modalities. This results in mutua…
Medical Concept Embedding with Time-Aware Attention
Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam +3
Embeddings of medical concepts such as medication, procedure and diagnosis codes in Electronic Medical Records (EMRs) are central to healthcare analytics. Previous work on medical…