Yang Yang
Professor
Works on AI for science, applying machine learning and large language models to biology, chemistry, materials and medicine.
Yang Yang's lab at SJTU works on proteins, drugs & materials, medical imaging & healthcare AI and large language models. 34 papers since 2023, 10 at top venues, mostly ICLR and ICML. 9 PhD students and 6 master's students. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 29%
- PhD students
- 9
- MS students
- 6
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 5 · collecting
- 12 papers2025 · T1 2
- 7 papers2024 · T1 3
- 6 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, ICML, AAAI, ACL, Bioinformatics
Research focuspaper titles that use each topic's words
- Large language models5 papers
- Proteins, drugs & materials2 papers
- Medical imaging & healthcare AI2 papers
- applying machine0 papers
- applying0 papers
Paper list
From the lab homepage.
20269 papers
- Cell Reports Physical ScienceA unifying geometric framework for computational representation of stereoisomers based on mixed product
- Neural NetworksAlign then clip: Refining graph for face clustering
- ICML (T1)Calibrating Uncertainty for Zero-Shot Adversarial CLIP
- BioinformaticsEPIC: Multi-objective Guided Diffusion for Epitope Design in TCR-pMHC Complexes
- ICML (T1)EpiCoCo: De Novo Epitope Generation via MHC-Context Co-Modeling and Contrastive Affinity Guidance
- IEEE Transactions on Computational Biology and BioinformaticsGENIE: A Two-Stage Interpretable Deep Learning Framework for Revealing the High-Order Genetic Interaction Network of Alzheimer's Disease
- TMI (T1)Harmonizing Generalization and Specialization: Uncertainty-Informed Collaborative Learning for Semi-supervised Medical Image Segmentation
- ICLR (T1)Learning Molecular Chirality via Chiral Determinant Kernels
- AAAI (T1)RTMol: Rethinking Molecule-text Alignment in a Round-trip View
202512 papers
- ResearchBatGPT-Chem: A Foundation Large Model For Chemical Engineering
- ICLR (T1)Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
- Artificial Intelligence ChemistryChiralCat: Molecular chirality classification with enhanced spatial representation using learnable queries
- Journal of CheminformaticsClc-db: an open-source online database of chiral ligands and catalysts
- Briefings in BioinformaticsDRAG: design RNAs as hierarchical graphs with reinforcement learning
- Translational PsychiatryInterplay between age
- Quantitative BiologyLoc4Lnc: Accurate prediction of long noncoding RNA subcellular localization via enhanced RNA sequence representation
- Journal of Chemical Information and ModelingMachine Learning for Reaction Performance Prediction in Allylic Substitution Enhanced by Automatic Extraction of a Substrate-Aware Descriptor
- NeurIPS (T1)Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
- ICLR WorkshopX. Wang,G Yu
- Artificial Intelligence ChemistryYieldFCP: Enhancing Reaction Yield Prediction via Fine-grained Cross-modal Pre-training
- MethodsZeRPI: A Graph Neural Network Model for Zero-Shot Prediction of RNA-Protein Interactions
20247 papers
- IJCAI (T1)An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing
- Nature Communications (T1)CGMega: Explainable Graph Neural Network Framework with Attention Mechanisms for Cancer Gene Module Dissection
- Computers in Biology and MedicineDecoding protein binding landscape on circular RNAs with base-resolution Transformer models
- Artificial Intelligence in MedicineImproving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression
- Materials Today CommunicationsMachine learning-based identification method of new strengthening element and the study on Al-Zn-Mg-Cu-Zr-Hf alloy
- ACL (T1)Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method
- Journal of CheminformaticsPrediction of chemical reaction yields with large-scale multi-view pre-training
20236 papers
- Journal of Materials Research and Technologyand B Sun
- IEEE International Conference on Bioinformatics and Biomedicineand Y Yang*
- Pattern RecognitionHAMIL: Hierarchical Aggregation-based Multi-Instance Learning for Microscopy Image Classification
- JAMA psychiatryInterplay of Metabolome and Gut Microbiome in Individuals With Major Depressive Disorder vs Control Individuals
- PLoS Computational BiologyMIGGRI: a multi-instance graph neural network model for inferring gene regulatory networks for Drosophila from spatial expression images
- International Conference on Medical Image Computing and Computer-Assisted InterventionUPCoL: Uncertainty-Informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
- Collected
- Verified
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- Members
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