Yanyan Lan
Principal Investigator/Professor
Works on machine learning, information retrieval, and AI for science.
Yanyan Lan's lab at Tsinghua works on recommendation, search & web and knowledge, QA & retrieval. 32 papers since 2023, 23 at top venues, mostly ICLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 72%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 10 papers2025 · T1 9
- 11 papers2024 · T1 6
- 7 papers2023 · T1 5
T1 venuesOtherVenues: ICLR, NeurIPS, ICML, AAAI, ECIR
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval2 papers
- Recommendation, search & web1 paper
- information retrieval1 paper
- industry0 papers
- air0 papers
Paper list
From DBLP.
20264 papers
- ICLR (T1)Drugging the Undruggable: Benchmarking and Modeling Fragment-Based Screening (opens in a new tab)
- ECIREvent-Aware Video Corpus Moment Retrieval (opens in a new tab)
- AAAI (T1)Learning Protein-Ligand Binding in Hyperbolic Space (opens in a new tab)
- AAAI (T1)S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening (opens in a new tab)
202510 papers
- NeurIPS (T1)AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation (opens in a new tab)
- NeurIPS (T1)CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs (opens in a new tab)
- NeurIPS (T1)CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design (opens in a new tab)
- NeurIPS (T1)FIGRDock: Fast Interaction-Guided Regression for Flexible Docking (opens in a new tab)
- CCIRGeneralizable and Robust Phenotypic Drug Discovery (opens in a new tab)
- NeurIPS (T1)Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space (opens in a new tab)
- ICLR (T1)Redefining the task of Bioactivity Prediction (opens in a new tab)
- ICLR (T1)Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs (opens in a new tab)
- NeurIPS (T1)Straight-Line Diffusion Model for Efficient 3D Molecular Generation (opens in a new tab)
- ICLR (T1)UniGEM: A Unified Approach to Generation and Property Prediction for Molecules (opens in a new tab)
202411 papers
- ACM Trans. Inf. Syst.Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Debiasing Counterfactual Context With Causal Inference for Multi-Turn Dialogue Reasoning (opens in a new tab)
- J. Am. Medical Informatics Assoc.Harnessing the potential of large language models in medical education: promise and pitfalls (opens in a new tab)
- Expert Systems with ApplicationsLabel-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification (opens in a new tab)
- ICLR (T1)Multimodal Molecular Pretraining via Modality Blending (opens in a new tab)
- Nat. Mac. Intell.Pre-training with fractional denoising to enhance molecular property prediction (opens in a new tab)
- ICLR (T1)Protein-ligand binding representation learning from fine-grained interactions (opens in a new tab)
- ICML (T1)Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion (opens in a new tab)
- ICLR (T1)Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment (opens in a new tab)
- ICLR (T1)Sliced Denoising: A Physics-Informed Molecular Pre-Training Method (opens in a new tab)
- ICML (T1)UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning (opens in a new tab)
20237 papers
- ICML (T1)Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D (opens in a new tab)
- NeurIPS (T1)DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening (opens in a new tab)
- NeurIPS (T1)Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation (opens in a new tab)
- ICML (T1)Fractional Denoising for 3D Molecular Pre-training (opens in a new tab)
- NeurocomputingHiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning (opens in a new tab)
- AI OpenInformation Retrieval meets Large Language Models: A strategic report from Chinese IR community (opens in a new tab)
- TPAMI (T1)Visual Reasoning: From State to Transformation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
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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Data
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