Hengshu Zhu

274 papers A* 83A 13B 1C 2Journal 150Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI-driven skill keyword suggestion for multi-round interviews: A graph-based topic approach.
Inf. Process. Manag.
Yuhan Su, Hongke Zhao, Chuan Qin, Dazhong Shen, Hengshu Zhu
2026 A* conf
ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map.
WWW
Fuling Wang, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong
2026 J jnl
Exploiting large language model with reinforcement learning for generative job recommendations.
Frontiers Comput. Sci.
Zhi Zheng, Zhaopeng Qiu, Chen Zhu, Xiao Hu, Likang Wu, Yang Song, Hengshu Zhu, Hui Xiong
2026 J jnl
MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios.
CoRR
Zhiheng Song, Jingshuai Zhang, Chuan Qin, Chao Wang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu, Hengshu Zhu
2026 J jnl
Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models.
Big Data Min. Anal.
Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen
2026 J jnl
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware General Neural Network Framework.
ACM Trans. Intell. Syst. Technol.
Ziwen Wang, Jingyuan Wang, Haiping Ma, Hengshu Zhu, Shangshang Yang, Xiaoshan Yu, Shuhuan Liu, Haifeng Zhang, Xingyi Zhang
2026 J jnl
SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding.
CoRR
Xiaohan Huang, Meng Xiao, Chuan Qin, Qingqing Long, Jinmiao Chen, Yuanchun Zhou, Hengshu Zhu
2026 J jnl
ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing Services.
CoRR
Qingqing Long, Haotian Chen, Chenyang Zhao, Xiaolei Du, Xuezhi Wang, Pengyao Wang, Chengzan Li, Yuanchun Zhou, Hengshu Zhu
2025 J jnl
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
Proc. IEEE
Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2025 J jnl
A Comprehensive Survey on Self-Interpretable Neural Networks.
CoRR
Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
2025 J jnl
A Comprehensive Survey on Self-Interpretable Neural Networks.
Proc. IEEE
Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
2025 J jnl
Application-Driven Value Alignment in Agentic AI Systems: Survey and Perspectives.
CoRR
Wei Zeng, Hengshu Zhu, Chuan Qin, Han Wu, Yihang Cheng, Sirui Zhang, Xiaowei Jin, Yinuo Shen, Zhenxing Wang, Feimin Zhong, Hui Xiong
2025 J jnl
CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning.
ACM Trans. Softw. Eng. Methodol.
Kaichun Yao, Hao Wang, Chuan Qin, Hengshu Zhu, Yanjun Wu, Libo Zhang
2025 J jnl
COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning.
ACM Trans. Manag. Inf. Syst.
Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Fuzhen Zhuang, Hengshu Zhu
2025 — conf
Does More Informative Job Title Lead to More Successful Hirings? A Randomized Field Experiment on an Online Labor Market Platform.
HICSS
Yihang Cheng, Xiao Hu, Chen Zhu, Hengshu Zhu
2025 J jnl
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach.
CoRR
Yang Ji, Ying Sun, Hengshu Zhu
2025 J jnl
Enhancing job recommendations with LLM-based resume completion: A behavior-denoised alignment approach.
Inf. Process. Manag.
Chen Zhu, Xiao Hu, Han Wu, Chuan Qin, Hengshu Zhu, Hui Xiong
2025 J jnl
Examination Process Modeling for Intelligent Patent Management: A Multi-aspect Neural Sequential Approach.
ACM Trans. Manag. Inf. Syst.
Han Wu, Le Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
2025 — conf
From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation.
KDD (1)
Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu
2025 J jnl
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models.
CoRR
Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen
2025 J jnl
Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation.
IEEE Trans. Neural Networks Learn. Syst.
Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
2025 — conf
Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method.
DASFAA (6)
Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu
2025 J jnl
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer.
ACM Trans. Knowl. Discov. Data
Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong
2025 J jnl
Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach.
ACM Trans. Manag. Inf. Syst.
Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
2025 — conf
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
ACL (1)
Jinhao Jiang, Kun Zhou, Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen
2025 J jnl
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
CoRR
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 J jnl
Knowledge-Guided Gene Panel Selection for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
IEEE Trans. Comput. Biol. Bioinform.
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 — conf
Labor Migration Modeling Through Large-Scale Job Query Data.
PAKDD (1)
Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu
2025 — conf
Large Language Models Are Not Stable Recommender Systems: A Position Bias Perspective.
KSEM (1)
Tianhui Ma, Yuan Cheng, Zhi Zheng, Hengshu Zhu, Hui Xiong
2025 J jnl
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning.
ACM Trans. Inf. Syst.
Ying Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong
2025 J jnl
Quasi-Metric Learning for Bilateral Person-Job Fit.
IEEE Trans. Pattern Anal. Mach. Intell.
Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu
2025 — conf
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.
KDD (2)
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
2025 J jnl
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.
CoRR
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
2025 J jnl
SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs.
CoRR
Haotian Chen, Qingqing Long, Meng Xiao, Xiao Luo, Wei Ju, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou, Hengshu Zhu
2025 — conf
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.
KDD (2)
Xiao Han, Chen Zhu, Hengshu Zhu, Xiangyu Zhao
2025 — conf
The 6th International Workshop on Talent and Management Computing (TMC 2025).
KDD (2)
Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
2025 J jnl
Toward Faithful Neural Network Intrinsic Interpretation With Shapley Additive Self-Attribution.
IEEE Trans. Neural Networks Learn. Syst.
Ying Sun, Hengshu Zhu, Hui Xiong
2025 A* conf
Towards Lifelong Model Editing via Simulating Ideal Editor.
ICML
Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun
2025 A* conf
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach.
ICML
Zhigaoyuan Wang, Ying Sun, Hengshu Zhu
2024 A* conf
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
AAAI
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
CoRR
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data
Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong
2024 J jnl
A survey on large language models for recommendation.
World Wide Web (WWW)
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2024 A* conf
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
KDD
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024 J jnl
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
CoRR
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024 J jnl
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst.
Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong
2024 J jnl
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment.
IEEE Trans. Syst. Man Cybern. Syst.
Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong
2024 J jnl
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng.
Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu, Hui Xiong
2024 — conf
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
APWeb/WAIM (1)
Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu
2024 J jnl
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.
IEEE Trans. Comput. Soc. Syst.
Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen
2024 A* conf
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction.
WWW
Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong
2024 J jnl
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation.
ACM Trans. Inf. Syst.
Yang Yang, Chubing Zhang, Xin Song, Zheng Dong, Hengshu Zhu, Wenjie Li
2024 J jnl
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
CoRR
Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
2024 A* conf
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis.
IJCAI
Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu
2024 A* conf
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
ICDM
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024 J jnl
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
CoRR
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024 A* conf
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.
AAAI
Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang
2024 A* conf
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.
AAAI
Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
2024 — conf
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.
DASFAA (4)
Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024 J jnl
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.
CoRR
Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024 J jnl
Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.
IEEE Trans. Cybern.
Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
2024 A* conf
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
AAAI
Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen
2024 J jnl
Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective.
CoRR
Chen Zhu, Yihang Cheng, Jingshuai Zhang, Yusheng Qiu, Sitao Xia, Hengshu Zhu
2024 A* conf
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
WWW
Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu
2024 A* conf
Harnessing Large Language Models for Text-Rich Sequential Recommendation.
WWW
Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
2024 J jnl
Harnessing Large Language Models for Text-Rich Sequential Recommendation.
CoRR
Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
2024 J jnl
How recommendation letters affect career Mobility：Evidence from a social networking sites LinkedIn.
Comput. Hum. Behav.
Rui Chang, Xin Wei, Xi Zhang, Hui Xiong, Hengshu Zhu
2024 A* conf
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.
NeurIPS
Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024 J jnl
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.
CoRR
Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024 J jnl
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer.
CoRR
Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong
2024 J jnl
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen
2024 J jnl
Labor Migration Modeling through Large-scale Job Query Data.
CoRR
Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu
2024 A* conf
MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment.
SIGIR
Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong
2024 — conf
Make Large Language Model a Better Ranker.
EMNLP (Findings)
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
Make Large Language Model a Better Ranker.
CoRR
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach.
Knowl. Inf. Syst.
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2024 A* conf
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness.
NeurIPS
Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan
2024 J jnl
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness.
CoRR
Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan
2024 J jnl
Multi-dimensional ability diagnosis for machine learning algorithms.
Sci. China Inf. Sci.
Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
2024 A* conf
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation.
NeurIPS
Yaming Guo, Chen Zhu, Hengshu Zhu, Tieru Wu
2024 J jnl
Occupation Life Cycle.
CoRR
Lan Chen, Yufei Ji, Xichen Yao, Hengshu Zhu
2024 A* conf
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting.
IJCAI
Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong
2024 J jnl
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng.
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
2024 A* conf
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
KDD
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024 J jnl
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
CoRR
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024 J jnl
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
CoRR
Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2024 A* conf
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.
KDD
Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024 J jnl
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.
CoRR
Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024 J jnl
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.
ACM Trans. Inf. Syst.
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong
2024 — conf
Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening.
DASFAA (6)
Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong
2024 J jnl
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.
CoRR
Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu
2024 A* conf
The 5th International Workshop on Talent and Management Computing (TMC'2024).
KDD
Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
2024 J jnl
The Career Interests of Large Language Models.
CoRR
Meng Hua, Yuan Cheng, Hengshu Zhu
2024 A conf
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.
ICME
Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
2024 J jnl
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.
CoRR
Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
2024 J jnl
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.
ACM Trans. Inf. Syst.
Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen
2024 J jnl
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng.
Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong
2023 J jnl
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
CoRR
Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2023 A* conf
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
ICDE
Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong
2023 J jnl
A Survey on Causal Inference for Recommendation.
CoRR
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang
2023 A* conf
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
ICDE
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023 J jnl
A Survey on Large Language Models for Recommendation.
CoRR
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2023 J jnl
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems.
INFORMS J. Comput.
Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong
2023 A* conf
BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.
KDD
Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu
2023 J jnl
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
CoRR
Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu
2023 J jnl
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data
Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong
2023 J jnl
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang
2023 J jnl
Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach.
CoRR
Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang
2023 J jnl
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.
CoRR
Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang
2023 J jnl
Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning.
ACM Trans. Manag. Inf. Syst.
Dazhong Shen, Hengshu Zhu, Keli Xiao, Xi Zhang, Hui Xiong
2023 — conf
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective.
ICDM (Workshops)
Chen Zhu, Hengshu Zhu
2023 J jnl
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
CoRR
Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen
2023 — conf
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.
ICDM (Workshops)
Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2023 J jnl
Exploring the tidal effect of urban business district with large-scale human mobility data.
Frontiers Comput. Sci.
Hongting Niu, Ying Sun, Hengshu Zhu, Cong Geng, Jiuchun Yang, Hui Xiong, Bo Lang
2023 J jnl
Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag.
Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang
2023 J jnl
Generative Job Recommendations with Large Language Model.
CoRR
Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong
2023 A conf
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
RecSys
Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong
2023 J jnl
Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Qi Zhang, Hengshu Zhu, Peng Wang, Enhong Chen, Hui Xiong
2023 J jnl
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction.
IEEE Trans. Knowl. Data Eng.
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong
2023 J jnl
Large Language Models are Not Stable Recommender Systems.
CoRR
Tianhui Ma, Yuan Cheng, Hengshu Zhu, Hui Xiong
2023 J jnl
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.
CoRR
Ying Sun, Hengshu Zhu, Hui Xiong
2023 J jnl
Learning Adaptive Embedding Considering Incremental Class.
IEEE Trans. Knowl. Data Eng.
Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang
2023 J jnl
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong
2023 J jnl
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng.
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2023 J jnl
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.
CoRR
Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
2023 J jnl
Preference or Intent? Double Disentangled Collaborative Filtering.
CoRR
Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong
2023 A* conf
Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model.
ICDM
Pengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng
2023 A conf
Reciprocal Sequential Recommendation.
RecSys
Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023 J jnl
Reciprocal Sequential Recommendation.
CoRR
Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023 A* conf
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.
KDD
Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
2023 A* conf
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
ICDM
Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2023 A* conf
ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training.
ICDE
Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong
2023 A* conf
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.
SIGIR
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023 J jnl
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.
CoRR
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023 A* conf
The 4th International Workshop on Talent and Management Computing (TMC'2023).
KDD
Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim
2023 J jnl
The Future of ChatGPT-enabled Labor Market: A Preliminary Study.
CoRR
Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, Hengshu Zhu
2023 J jnl
Towards Automatic Job Description Generation With Capability-Aware Neural Networks.
IEEE Trans. Knowl. Data Eng.
Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong
2023 J jnl
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution.
CoRR
Ying Sun, Hengshu Zhu, Hui Xiong
2023 J jnl
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2023 — conf
Towards a Better Characterization of IT Career Development Patterns.
AMCIS
Yiwei Wang, Qingxin Meng, Alain Chong, Hengshu Zhu
2023 J jnl
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng.
Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang
2022 J jnl
$\mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation.
IEEE Trans. Mob. Comput.
Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong
2022 J jnl
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
CoRR
Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong
2022 J jnl
A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2022 A* conf
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment.
ACM Multimedia
Yang Yang, Jingshuai Zhang, Fan Gao, Xiaoru Gao, Hengshu Zhu
2022 J jnl
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification.
CoRR
Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2022 J jnl
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.
CoRR
Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2022 J jnl
Exploring the Risky Travel Area and Behavior of Car-hailing Service.
ACM Trans. Intell. Syst. Technol.
Hongting Niu, Hengshu Zhu, Ying Sun, Xinjiang Lu, Jing Sun, Zhiyuan Zhao, Hui Xiong, Bo Lang
2022 A* conf
Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
IJCAI
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
2022 J jnl
Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
CoRR
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
2022 J jnl
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model.
INFORMS J. Comput.
Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, Hui Xiong
2022 J jnl
From Human-AI Confrontation to Human-AI Symbiosis in Society 5.0: Transformation Challenges and Mechanisms.
IT Prof.
Xi Zhang, Xin Wei, Carol X. J. Ou, Emiel Caron, Hengshu Zhu, Hui Xiong
2022 — conf
Identifying Turnover Contagion in Enterprise Social Networks.
AMCIS
Xin Wei, Xi Zhang, Carol Ou, Hengshu Zhu
2022 J jnl
Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform.
Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni
2022 J jnl
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst.
Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong
2022 A* conf
Knowledge Enhanced Person-Job Fit for Talent Recruitment.
ICDE
Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong
2022 A conf
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction.
WSDM
Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu
2022 J jnl
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.
ACM Trans. Inf. Syst.
Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
2022 A* conf
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach.
IJCAI
Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang
2022 A* conf
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
KDD
Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
2022 J jnl
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data
Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong
2021 J jnl
A Comprehensive Survey on Transfer Learning.
Proc. IEEE
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2021 A conf
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.
CIKM
Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong
2021 A* conf
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.
KDD
Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong
2021 J jnl
Butterfly-Core Community Search over Labeled Graphs.
CoRR
Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong
2021 J jnl
Butterfly-Core Community Search over Labeled Graphs.
Proc. VLDB Endow.
Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong
2021 A* conf
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
WWW
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
2021 A* conf
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
NeurIPS
Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
2021 — conf
Embedding Fairness into the AI-Based Talent Recruitment Systems：The Perspective of Environment Cycle and Knowledge Cycle.
PACIS
Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu
2021 J jnl
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.
CoRR
Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
2021 J jnl
Exploiting Network Fusion for Organizational Turnover Prediction.
ACM Trans. Manag. Inf. Syst.
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Hui Xiong
2021 J jnl
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst.
Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
2021 — conf
Is AI Better Than Human in Identifying High-Potential Talents: A Quasi-Field Experiment.
AMCIS
Yihang Cheng, Xi Zhang, Xinlin Tang, Hengshu Zhu
2021 A* conf
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
AAAI
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2021 A* conf
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
KDD
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021 J jnl
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
CoRR
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021 J jnl
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu
2021 A* conf
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
IJCAI
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021 J jnl
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
CoRR
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021 A* conf
TMC 2021: 2021 International Workshop on Talent and Management Computing.
KDD
Hui Xiong, Hengshu Zhu, Tong Xu, Xi Zhang
2021 A* conf
Talent Demand Forecasting with Attentive Neural Sequential Model.
KDD
Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
2021 A* conf
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.
NeurIPS
Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
2021 J jnl
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning.
CoRR
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2021 A* conf
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective.
WWW
Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong
2020 J jnl
A Survey on Knowledge Graph-Based Recommender Systems.
CoRR
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2020 J jnl
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.
ACM Trans. Inf. Syst.
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong
2020 — conf
Developing Fairness Rules for Talent Intelligence Management System.
HICSS
Xi Zhang, Yuqing Zhao, Xinlin Tang, Hengshu Zhu, Hui Xiong
2020 J jnl
Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models.
ACM Trans. Inf. Syst.
Hao Lin, Hengshu Zhu, Junjie Wu, Yuan Zuo, Chen Zhu, Hui Xiong
2020 J jnl
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.
Neural Networks
Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2020 J jnl
Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks.
IEEE Trans. Mob. Comput.
Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen
2020 J jnl
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
CoRR
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2020 J jnl
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
CoRR
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2020 A* conf
Large-Scale Talent Flow Embedding for Company Competitive Analysis.
WWW
Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen
2020 J jnl
Learning Adaptive Embedding Considering Incremental Class.
CoRR
Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Hui Xiong, Jian Yang
2020 J jnl
Matching of social events and users: a two-way selection perspective.
World Wide Web
Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong
2020 A* conf
Personalized Employee Training Course Recommendation with Career Development Awareness.
WWW
Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
2020 A* conf
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.
AAAI
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
2020 A* conf
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.
AAAI
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
2020 J jnl
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.
CoRR
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
2019 J jnl
A Comprehensive Survey on Transfer Learning.
CoRR
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2019 A* conf
A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction.
KDD
Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong
2019 A* conf
Aftershock Detection with Multi-scale Description Based Neural Network.
ICDM
Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu
2019 A* conf
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.
KDD
Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong
2019 J jnl
Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling.
IEEE Trans. Knowl. Data Eng.
Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu
2019 A* conf
Exploiting the Contagious Effect for Employee Turnover Prediction.
AAAI
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong
2019 J jnl
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation.
IEEE Trans. Knowl. Data Eng.
Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen
2019 A* conf
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
ICDM
Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong
2019 A* conf
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.
AAAI
Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen
2019 A conf
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
CIKM
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2019 A* conf
Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?
WWW
Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen
2019 J jnl
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR
Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong
2019 J jnl
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems.
CoRR
Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu
2019 J jnl
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.
IEEE Trans. Knowl. Data Eng.
Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong
2019 A* conf
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
KDD
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2019 A* conf
Trend-Aware Tensor Factorization for Job Skill Demand Analysis.
IJCAI
Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong
2018 A* conf
A Joint Learning Approach to Intelligent Job Interview Assessment.
IJCAI
Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong
2018 J jnl
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Syst. Man Cybern. Syst.
Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du
2018 A* conf
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.
ICDM
Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin
2018 A* conf
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
SIGIR
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
2018 J jnl
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
CoRR
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
2018 A* conf
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
KDD
Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He
2018 A* conf
Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach.
ICDM
Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong
2018 A* conf
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
AAAI
Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong
2018 J jnl
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.
CoRR
Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li
2018 J jnl
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.
ACM Trans. Manag. Inf. Syst.
Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li
2017 A* conf
Collaborative Company Profiling: Insights from an Employee's Perspective.
AAAI
Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong
2017 J jnl
Collaborative Company Profiling: Insights from an Employee's Perspective.
CoRR
Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong
2017 J jnl
Discerning individual interests and shared interests for social user profiling.
World Wide Web
Enhong Chen, Guangxiang Zeng, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong
2017 A* conf
Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
IJCAI
Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang
2017 J jnl
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
CoRR
Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong
2017 A* conf
Point-of-Interest Demand Modeling with Human Mobility Patterns.
KDD
Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong
2017 A* conf
Prospecting the Career Development of Talents: A Survival Analysis Perspective.
KDD
Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao
2017 J jnl
Recruitment Market Trend Analysis with Sequential Latent Variable Models.
CoRR
Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie
2017 — conf
Social User Profiling: A Social-Aware Topic Modeling Perspective.
DASFAA (2)
Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen
2016 A* conf
Days on Market: Measuring Liquidity in Real Estate Markets.
KDD
Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu
2016 — conf
Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
DASFAA (1)
Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao
2016 A* conf
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends.
KDD
Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu
2016 A* conf
Recruitment Market Trend Analysis with Sequential Latent Variable Models.
KDD
Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie
2016 A* conf
Talent Circle Detection in Job Transition Networks.
KDD
Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu
2016 A* conf
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
KDD
Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong
2016 J jnl
Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst.
Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong
2015 — conf
Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation.
WI-IAT (1)
Chu Guan, Qi Liu, Jingsong Lv, Enhong Chen, Hengshu Zhu, Xin Li
2015 A conf
Convex Matrix Completion: A Trace-Ball Optimization Perspective.
SDM
Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu
2015 A* conf
Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications.
KDD
Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao
2015 J jnl
Discovery of Ranking Fraud for Mobile Apps.
IEEE Trans. Knowl. Data Eng.
Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2015 A conf
Exploring the Impact of Dynamic Mutual Influence on Social Event Participation.
SDM
Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu
2015 A* conf
Learning Career Mobility and Human Activity Patterns for Job Change Analysis.
ICDM
Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu
2015 J jnl
Locating targets through mention in Twitter.
World Wide Web
Liyang Tang, Zhiwei Ni, Hui Xiong, Hengshu Zhu
2015 A* conf
Matrix Factorization with Scale-Invariant Parameters.
IJCAI
Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang
2015 A* conf
Mining Indecisiveness in Customer Behaviors.
ICDM
Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie
2015 A conf
Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization.
SDM
Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge
2015 J jnl
Popularity Modeling for Mobile Apps: A Sequential Approach.
IEEE Trans. Cybern.
Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen
2015 A* conf
Real Estate Ranking via Mixed Land-use Latent Models.
KDD
Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu
2014 A* conf
A cost-effective recommender system for taxi drivers.
KDD
Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong
2014 B conf
Diversified social influence maximization.
ASONAM
Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu
2014 J jnl
Learning to annotate via social interaction analytics.
Knowl. Inf. Syst.
Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian
2014 J jnl
Learning to detect subway arrivals for passengers on a train.
Frontiers Comput. Sci.
Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao
2014 J jnl
Mining Mobile User Preferences for Personalized Context-Aware Recommendation.
ACM Trans. Intell. Syst. Technol.
Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian
2014 J jnl
Mobile App Classification with Enriched Contextual Information.
IEEE Trans. Mob. Comput.
Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian
2014 A* conf
Mobile app recommendations with security and privacy awareness.
KDD
Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2014 A conf
Predicting the Popularity of Online Serials with Autoregressive Models.
CIKM
Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan
2014 J jnl
Ranking user authority with relevant knowledge categories for expert finding.
World Wide Web
Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian
2014 A* conf
Technology Prospecting for High Tech Companies through Patent Mining.
ICDM
Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang
2014 J jnl
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
ACM Trans. Knowl. Discov. Data
Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian
2014 A* conf
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.
ICDM
Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu
2013 C conf
Learning to Detect the Subway Station Arrival for Mobile Users.
IDEAL
Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao
2013 A conf
Ranking fraud detection for mobile apps: a holistic view.
CIKM
Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2013 — conf
Time Series Representation: A Random Shifting Perspective.
WAIM
Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu
2012 J jnl
Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities.
Int. J. Knowl. Syst. Sci.
Hengshu Zhu, Enhong Chen, Huanhuan Cao, Jilei Tian
2012 A conf
Exploiting enriched contextual information for mobile app classification.
CIKM
Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian
2012 A* conf
Mining Personal Context-Aware Preferences for Mobile Users.
ICDM
Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian
2012 — conf
Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models.
PAKDD (1)
Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao, Jilei Tian
2011 C conf
Finding Experts in Tag Based Knowledge Sharing Communities.
KSEM
Hengshu Zhu, Enhong Chen, Huanhuan Cao
2011 A conf
Towards expert finding by leveraging relevant categories in authority ranking.
CIKM
Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian