Hong Cheng
Professor
Works on data mining, graph learning and knowledge management.
Hong Cheng's lab at CUHK works on graph mining & networks, data management & big data and graph learning. 54 papers since 2023, 44 at top venues, mostly KDD and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 81%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 12 papers2026 · T1 10 · collecting
- 15 papers2025 · T1 12
- 17 papers2024 · T1 15
- 10 papers2023 · T1 7
T1 venuesOtherVenues: KDD, ICLR, SIGMOD, TKDE, CIKM
Research focuspaper titles that use each topic's words
- Graph learning25 papers
- Graph mining & networks22 papers
- Data management & big data4 papers
- management0 papers
- knowledge management0 papers
Paper list
From DBLP.
202612 papers
- ACM Comput. Surv.A Survey of Graph Transformers: Architectures, Theories and Applications (opens in a new tab)
- SIGMOD (T1)A Unified Framework for Dense Subgraph Maintenance over Dynamic Bipartite Graphs (opens in a new tab)
- ICLR (T1)Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction (opens in a new tab)
- CVPR (T1)CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation (opens in a new tab)
- Neural NetworksExploring financial sentiment analysis via fine-tuning large language model and attributed graph neural network (opens in a new tab)
- KDD (T1)Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction (opens in a new tab)
- ICLR (T1)NextQuill: Causal Preference Modeling for Enhancing LLM Personalization (opens in a new tab)
- WSDM (T1)ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning (opens in a new tab)
- KDD (T1)PILA'26: Personal Intelligence in Agentic AI Era (opens in a new tab)
- ICLR (T1)Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models (opens in a new tab)
- ICLR (T1)TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State (opens in a new tab)
- ACL (T1)Understanding the Behaviors of Environment-aware Information Retrieval (opens in a new tab)
202515 papers
- SIGIR (T1)Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators (opens in a new tab)
- SIGMOD (T1)Can Large Language Models Be Query Optimizer for Relational Databases? (opens in a new tab)
- Findings of NAACLDialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation (opens in a new tab)
- ICML (T1)Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis (opens in a new tab)
- IJCAI (T1)Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags (opens in a new tab)
- KDD (T1)Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting (opens in a new tab)
- NAACL (T1)Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data (opens in a new tab)
- RecSys (T1)Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation (opens in a new tab)
- ICML (T1)IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck (opens in a new tab)
- Findings of ACLMeasuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization (opens in a new tab)
- ACM MMMedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment (opens in a new tab)
- EMNLP (T1)MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval (opens in a new tab)
202417 papers
- ACM Comput. Surv.A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers (opens in a new tab)
- IJCAI (T1)A Survey of Graph Meets Large Language Model: Progress and Future Directions (opens in a new tab)
- VLDB (T1)Accelerating Maximal Clique Enumeration via Graph Reduction (opens in a new tab)
- KDD (T1)All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining (opens in a new tab)
- IJCAI (T1)All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) (opens in a new tab)
- TKDE (T1)AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models (opens in a new tab)
- NeurIPS (T1)Can Graph Learning Improve Planning in LLM-based Agents? (opens in a new tab)
- TKDE (T1)Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System (opens in a new tab)
- ACL (T1)Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics (opens in a new tab)
- KDD (T1)Graph Intelligence with Large Language Models and Prompt Learning (opens in a new tab)
- CIKM (T1)Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation (opens in a new tab)
- EMNLP (T1)LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement (opens in a new tab)
202310 papers
- Knowl. Inf. Syst.Accelerating massive queries of approximate nearest neighbor search on high-dimensional data (opens in a new tab)
- KDD (T1)All in One: Multi-Task Prompting for Graph Neural Networks (opens in a new tab)
- VLDB (T1)Computing Graph Edit Distance via Neural Graph Matching (opens in a new tab)
- ICASSP (T1)Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation (opens in a new tab)
- ICDE (T1)Decision Support System for Chronic Diseases Based on Drug-Drug Interactions (opens in a new tab)
- Information SciencesExploiting node-feature bipartite graph in graph convolutional networks (opens in a new tab)
- *SEM@ACLFunctional Distributional Semantics at Scale (opens in a new tab)
- SIGMOD (T1)Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation (opens in a new tab)
- TKDE (T1)Self-Supervised Hypergraph Representation Learning for Sociological Analysis (opens in a new tab)
- TKDE (T1)Towards Indoor Temporal-Variation Aware Shortest Path Query (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CUHKFall 2027
Computer Science and Engineering MPhil/PhD
- Round
- HKPFS / main round
- Opens
- —
- GRE
- See program page
- English
- Interview in English
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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