Hengshu Zhu
Orcid: 0000-0003-4570-643X
According to our database1,
Hengshu Zhu
authored at least 201 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning.
ACM Trans. Softw. Eng. Methodol., January, 2025
ACM Trans. Knowl. Discov. Data, January, 2025
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
CoRR, January, 2025
2024
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng., November, 2024
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng., November, 2024
World Wide Web (WWW), September, 2024
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.
ACM Trans. Inf. Syst., July, 2024
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng., July, 2024
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach.
Knowl. Inf. Syst., May, 2024
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation.
ACM Trans. Inf. Syst., March, 2024
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.
ACM Trans. Inf. Syst., March, 2024
How recommendation letters affect career Mobility:Evidence from a social networking sites LinkedIn.
Comput. Hum. Behav., March, 2024
Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.
IEEE Trans. Cybern., February, 2024
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.
IEEE Trans. Comput. Soc. Syst., February, 2024
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst., January, 2024
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
CoRR, 2024
Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective.
CoRR, 2024
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.
CoRR, 2024
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.
Proceedings of the Database Systems for Advanced Applications, 2024
Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening.
Proceedings of the Database Systems for Advanced Applications, 2024
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
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., November, 2023
Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning.
ACM Trans. Manag. Inf. Syst., September, 2023
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng., June, 2023
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data, June, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag., May, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023
IEEE Trans. Knowl. Data Eng., 2023
INFORMS J. Comput., 2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023
Exploring the tidal effect of urban business district with large-scale human mobility data.
Frontiers Comput. Sci., 2023
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
CoRR, 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model.
Proceedings of the IEEE International Conference on Data Mining, 2023
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023
ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 29th Americas Conference on Information Systems, 2023
2022
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.
ACM Trans. Inf. Syst., 2022
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst., 2022
IEEE Trans. Mob. Comput., 2022
IEEE Trans. Knowl. Data Eng., 2022
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Intell. Syst. Technol., 2022
From Human-AI Confrontation to Human-AI Symbiosis in Society 5.0: Transformation Challenges and Mechanisms.
IT Prof., 2022
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model.
INFORMS J. Comput., 2022
Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform., 2022
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst., 2021
ACM Trans. Manag. Inf. Syst., 2021
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.
CoRR, 2021
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Embedding Fairness into the AI-Based Talent Recruitment Systems:The Perspective of Environment Cycle and Knowledge Cycle.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Is AI Better Than Human in Identifying High-Potential Talents: A Quasi-Field Experiment.
Proceedings of the 27th Americas Conference on Information Systems, 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
World Wide Web, 2020
ACM Trans. Inf. Syst., 2020
ACM Trans. Inf. Syst., 2020
IEEE Trans. Mob. Comput., 2020
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.
Neural Networks, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Personalized Employee Training Course Recommendation with Career Development Awareness.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
IEEE Trans. Knowl. Data Eng., 2019
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.
IEEE Trans. Knowl. Data Eng., 2019
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.
ACM Trans. Manag. Inf. Syst., 2018
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
World Wide Web, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016
2015
IEEE Trans. Cybern., 2015
Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
World Wide Web, 2014
IEEE Trans. Mob. Comput., 2014
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
ACM Trans. Knowl. Discov. Data, 2014
ACM Trans. Intell. Syst. Technol., 2014
Frontiers Comput. Sci., 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
Proceedings of the Web-Age Information Management - 14th International Conference, 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
Int. J. Knowl. Syst. Sci., 2012
Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Knowledge Science, Engineering and Management, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011