activity
20242026
most citedAdapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning

16 citations · 17 across the 2 of their papers we have counts for

collaborators

6 papers

cs.AI2026

SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data

Dianyu Liu, Chuan Qin, Xi Chen +6

AI-for-Science (AI4Science) is increasingly transforming scientific discovery by embedding machine learning models into prediction, simulation, and hypothesis generation workflows…

cs.AI2026

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios

Zhiheng Song, Jingshuai Zhang, Chuan Qin +6

Route-planning agents powered by large language models (LLMs) have emerged as a promising paradigm for supporting everyday human mobility through natural language interaction and t…

cs.LG2025

A Comprehensive Survey on Self-Interpretable Neural Networks

Yang Ji, Ying Sun, Yuting Zhang +7

Neural networks have achieved remarkable success across various fields. However, the lack of interpretability limits their practical use, particularly in critical decision-making s…

cs.IR202416 cited

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning

Xiao Han, Chen Zhu, Xiao Hu +3

Job recommender systems are crucial for aligning job opportunities with job-seekers in online job-seeking. However, users tend to adjust their job preferences to secure employment…

cs.LG2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking

Xi Chen, Chuan Qin, Chuyu Fang +5

In a rapidly evolving job market, skill demand forecasting is crucial as it enables policymakers and businesses to anticipate and adapt to changes, ensuring that workforce skills a…

cs.CL20241 cited

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models

Feihu Jiang, Chuan Qin, Kaichun Yao +4

Efficient knowledge management plays a pivotal role in augmenting both the operational efficiency and the innovative capacity of businesses and organizations. By indexing knowledge…