A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
In Proceedings of the IEEE (PIEEE), 2025
Quasi-Metric Learning for Bilateral Person-Job Fit
Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu
In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025
SciHorizon： Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2025), 2025
From Missteps to Mastery： Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation
Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu
In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2025), 2025
Swarm Intelligence in Geo-Localization： A Multi-Agent Large Vision-Language Model Collaborative Framework
Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu
In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2025), 2025
FastFT： Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
The 41st IEEE International Conference on Data Engineering (ICDE-2025), 2025
GCAL： Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
In Proceedings of the 42nd International Conference on Machine Learning (ICML-2025), 2025
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling： A Granularity-Adaptive Geographical Embedding Approach
Zhigaoyuan Wang, Ying Sun, Hengshu Zhu
In Proceedings of the 42nd International Conference on Machine Learning (ICML-2025), 2025
Towards Lifelong Model Editing via Simulating Ideal Editor
Yaming Guo, Siyang Guo, Ying Sun, Hengshu Zhu,
In Proceedings of the 42nd International Conference on Machine Learning (ICML-2025), 2025
KG-Agent： An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
Jinhao Jiang, Kun Zhou, Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Jirong Wen
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-2025), 2025
Scalable intermediate-term earthquake forecasting with multimodal fusion neural networks
Yumeng Hu, Qi Zhang, Hengshu Zhu, Baoshan Wang, Hui Xiong, Haitao Wang
In Scientific Reports, 2025
Evolutionary Modeling Reveals that Value-oriented Knowledge Creation Behaviors Reinvent Jobs
Yihang Cheng, Zhaoqi Yang, Yuan Cheng, Yong Ge, Hengshu Zhu
In Humanities & Social Sciences Communications (HSSC), 2025
COTR： Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning
Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Fuzhen Zhuang, Hengshu Zhu
In ACM Transactions on Management Information Systems (ACM TMIS), 2025
Examination Process Modeling for Intelligent Patent Management： A Multi-aspect Neural Sequential Approach
Han Wu, Le Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
In ACM Transactions on Management Information Systems (ACM TMIS), 2025
Joint Ability Assessment for Talent Recruitment： A Neural Cognitive Diagnosis Approach
Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
In ACM Transactions on Management Information Systems (ACM TMIS), 2025
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
Ying Sun, Hengshu Zhu, Hui Xiong
In IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Does More Informative Job Title Lead to More Successful Hirings? A Randomized Field Experiment on an Online Labor Market Platform
Yihang Cheng, Xiao Hu, Chen Zhu, Hengshu Zhu
In Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS-2025) , 2025
Job-SDF： A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
In Proceedings of Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS-2024), 2024
OT4P： Unlocking Effective Orthogonal Group Path for Permutation Relaxation
Yaming Guo, Chen Zhu, Hengshu Zhu, Tieru Wu
In Proceedings of Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS-2024), 2024
Multi-dimensional ability diagnosis for machine learning algorithms
Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
In SCIENCE CHINA： Information Sciences, 2025
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training
Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
In Proceedings of 30th International Conference on Database Systems for Advanced Applications (DASFAA-2025), 2025
Unveiling delay effects in traffic forecasting： a perspective from spatial-temporal delay differential equations
Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
In Proceedings of the ACM Web Conference 2024 (WWW-2024), 2024
Inductive graph alignment prompt： bridging the gap between graph pre-training and inductive fine-tuning from spectral perspective
Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
In Proceedings of the ACM Web Conference 2024 (WWW-2024), 2024