Quanming Yao
Associate Professor
Works on automated machine learning, graph learning, and machine learning for science such as biomedicine.
Quanming Yao's lab at Tsinghua works on graph learning. 90 papers since 2023, 15 at top venues, mostly ICLR and TPAMI. 8 PhD students and 8 master's students. 11 alumni, most often to Alibaba and Baidu. Applications close .
At a glance
- papers, 2023–2026
- 23/ year
- at T1 venues
- 17%
- PhD students
- 8
- MS students
- 8
- alumni listed
- 11
Papers by yearfrom the lab homepage, 2023–2026
- 29 papers2026 · T1 11 · collecting
- 23 papers2025 · T1 2
- 17 papers2024 · T1 1
- 21 papers2023 · T1 1
T1 venuesOtherVenues: ICLR, TPAMI, IJCAI, KDD, PAKDD
Research focuspaper titles that use each topic's words
- Graph learning49 papers
- graph25 papers
- automated3 papers
- biomedicine0 papers
- electronic engineering0 papers
Paper list
From the lab homepage.
202629 papers
- Transactions on Machine Learning Research (TMLR).A Survey on Benchmarks of LLM-based GUI Agents
- Neural NetworksAdaptive Multi-Scenario Matching through Uncertainty-Aware Heterogeneous User Modeling
- Journal of Materials Chemistry B.Advancing vascularization with VEGF-bound hydrogels in tissue engineering
- Annual Conference on Neural Information Processing Systems (NeurIPS).Asymmetric Factorization for Low-Rank PSD Learning: When Is the Relaxation Exact?
- Annual Conference on Neural Information Processing Systems (NeurIPS).Attention Sinks Induce Gradient Sinks: Massive Activations as Gradient Regulators in Transformers
- ACM Computing Surveys. (CSUR).Automated Machine Learning: From Principles to Practices
- IJCAI (T1)Beyond Scaling: A Survey on Data-Efficient Agentic Learning
- Neural Network.Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning
- KDD (T1)CEAgent-GSL: Code-level Evolutionary Agent for Interpretable Graph Structure Learning on Omics
- AI Plus.Coordinated Discovery of Mechanistic Dynamics in Complex Networks
- WWW (T1)DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
- KDD (T1)DDIAgents: Predicting Drug Interactions by a Multi-Agent System with Dynamic Knowledge Flow
202523 papers
- Annual Conference on Neural Information Processing Systems (NeurIPS).AdaPA-Agent: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
- International Joint Conference on Artificial Intelligence (IJCAI).Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
- BioinformaticsBenchmarking Drug-drug Interaction Prediction Methods: A perspective of distribution changes
- (AI Magazine).Beyond scaleup: Knowledge-aware parsimony learning from deep networks
- International Conference on Learning Representations (ICLR).Curriculum-aware Training for Discriminating Molecular Property Prediction Models
- Conference on Parsimony and Learning (CPAL).Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering
- International Conference on Learning Representations (ICLR).Erasing Concept Combination from Text-to-Image Diffusion Model
- IEEE International Conference on Data Engineering (ICDE).Explore the Disentanglement Mechanism for Deep Learning
- IEEE Transactions on Green Communications and Networking (TGCN).Graph Pointer Network Assisted Deep Reinforcement Learning for Virtualized Network Embedding
- IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).Heterogeneous Graph-Based Multimodal Brain Network Learning
- International Conference on Machine Learning (ICML).Hierarchical Graph Tokenization for Molecule-Language Alignment
- Neural Network.KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent
202417 papers
- Communications Medicine (Nature Series).Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning
- Annual Conference on Neural Information Processing Systems (NeurIPS).Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
- ACM Transactions on Knowledge Discovery from Data (TKDD).Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS).Flow to Candidate: Temporal Knowledge Graph Reasoning with Candidate-Oriented Relational Graph
- Journal of Cheminformatics (J. Cheminform.).Hamiltonian Diversity: Effectively Measuring Molecular Diversity by Shortest Hamiltonian Circuits
- ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
- IEEE International Conference on Data Engineering (ICDE).Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
- International Conference on Learning Representations (ICLR).Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
- International Joint Conference on Artificial Intelligence (IJCAI).PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
- IEEE Conference on Artificial Intelligence (IEEE CAI).Path-based Link Prediction on Hyper-relational Knowledge Graph
- TPAMI (T1)Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
- International Conference on Database Systems for Advanced Applications (DASFAA).Relationship-Entity Hybrid Learning Graph Model for Few-Shot Temporal Knowledge Graph Forecasting
202321 papers
- ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).Automated 3D Pre-Training for Molecular Property Prediction
- TPAMI (T1)Bilinear Scoring Function Search for Knowledge Graph Learning
- The Web Conference (WebConf).ColdNAS: Search to Modulate for User Cold-Start Recommendation
- Annual Conference on Neural Information Processing Systems (NeurIPS).Combating Bilateral Edge Noise for Robust Link Prediction
- International Conference on Learning Representations (ICLR).Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
- IEEE International Conference on Image Processing (ICIP).Combining Self-Supervised and Supervised Learning with Noisy Labels
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI
- Annual Conference on Neural Information Processing Systems (NeurIPS).Efficient Hyper-parameter Optimization with Cubic Regularization
- Nature Computational ScienceEmerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network
- International Conference on Automated Planning and Scheduling (ICAPS).Improving Zero-Shot Coordination Performance Based on Policy Similarity
- ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
- International Conference on Learning Representations (ICLR).Learning Symbolic Models for Graph-structured Physical Mechanism
Where alumni went11 listed, 78% to industry
Industry 7Academia 2
Most often to
- Alibaba
- Baidu
Also to
- ETH Zurich
- Harvard University
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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