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Hengshu Zhu

29 papers · 2015–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (68) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (7) πŸ—ƒοΈ Keyword Collector (156)

Venues

AAAI (9) IJCAI (9) NeurIPS (5) ACL (3) ICML (2) EMNLP (1)

Top co-authors

Hui Xiong (13) Chuan Qin (9) Chen Zhu (7) Chao Wang (6) Enhong Chen (6) Hao Liu (4) Xi Chen (4) Qi Liu (3) Zhi Zheng (3) Yang Song (3)

Research topics

Machine Learning (21) Artificial Intelligence (15) Deep Learning (14) Core AI (13) Core Methods (12) Learning Types Β· Machine Learning (10) Architectures (8) Learning Types Β· Deep Learning (7) Optimization & Theory (7) Data Science & Analytics (6) Natural Language Processing (5) Application Areas (5) Applications (5) Models (5) Learning Paradigms (3)

Keywords

graph neural network (5) large language model (5) attention mechanism (4) recommender system (4) neural network (3) skill demand (2) collaborative filtering (2) matrix factorization (2) knowledge distillation (2) cognitive diagnosis (2) contrastive learning (2) skill demand forecasting (2) generalized category discovery (2) job recommendation (2) representation learning (2) feature selection (1) hierarchical learning (1) online learning (1) latent dirichlet allocation (1) cognitive modeling (1)

Papers

GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery ACL 2026 TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery ACL 2026 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 Towards Lifelong Model Editing via Simulating Ideal Editor ICML 2025 Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach ICML 2025 A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction AAAI 2024 DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis IJCAI 2024 Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NeurIPS 2024 Make Large Language Model a Better Ranker EMNLP 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024 OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NeurIPS 2024 Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting IJCAI 2024 Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022 Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach IJCAI 2022 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation NeurIPS 2021 Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks AAAI 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021 Topic Modeling Revisited: A Document Graph-based Neural Network Perspective NeurIPS 2021 Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion AAAI 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019 A Joint Learning Approach to Intelligent Job Interview Assessment IJCAI 2018 Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017 Matrix Factorization with Scale-Invariant Parameters IJCAI 2015