activity
20232026
most citedA Comprehensive Survey on Self-Interpretable Neural Networks

9 citations · 18 across the 9 of their papers we have counts for

collaborators

10 papers

cs.SI2026

Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media

Yijie Xu, Chao Wang, Hui Xiong

The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand individual political ideologies and their temporal dynamics. This t…

cs.AI2025★ 1 cited

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives

Wei Zeng, Hengshu Zhu, Chuan Qin +8

The ongoing evolution of AI paradigms has propelled AI research into the agentic AI stage. Consequently, the focus of research has shifted from single agents and simple application…

cs.LG2025

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models

Chuan Qin, Xin Chen, Chengrui Wang +13

In recent years, the rapid advancement of Artificial Intelligence (AI) technologies, particularly Large Language Models (LLMs), has revolutionized the paradigm of scientific discov…

cs.LG2025★ 9 cited

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.LG2024★ 1 cited

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting

Zhuoning Guo, Hao Liu, Le Zhang +3

Labor market forecasting on talent demand and supply is essential for business management and economic development. With accurate and timely forecasts, employers can adapt their re…

cs.LG2024★ 1 cited

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.CL2024★ 1 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…

cs.CL2024★ 1 cited

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach

Feihu Jiang, Chuan Qin, Jingshuai Zhang +6

In the contemporary era of widespread online recruitment, resume understanding has been widely acknowledged as a fundamental and crucial task, which aims to extract structured info…

cs.IR2024★ 1 cited

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer

Zhihao Guan, Jia-Qi Yang, Yang Yang +3

Job recommendation aims to provide potential talents with suitable job descriptions (JDs) consistent with their career trajectory, which plays an essential role in proactive talent…

cs.IR2023★ 3 cited

Large Language Models are Not Stable Recommender Systems

Tianhui Ma, Yuan Cheng, Hengshu Zhu +1

With the significant successes of large language models (LLMs) in many natural language processing tasks, there is growing interest among researchers in exploring LLMs for novel re…