Shikun Feng
Tsinghua University. BEIJING, P.R.China
My name is Shikun Feng, and I am a fourth-year PhD candidate in the Department of Computer Science at Tsinghua University, under the supervision of Professors Yanyan Lan and Wei-Ying Ma. My research interests lie in AI for Science (AI4Science), with a focus on molecular pre-training, multi-modality alignment, and generative models. Prior to pursuing my PhD, I worked as a senior algorithm engineer at SenseTime.
selected publications
- ICML23Fractional denoising for 3d molecular pre-trainingIn International Conference on Machine Learning, 2023
- arXiv
- ICLR24Protein-ligand binding representation learning from fine-grained interactionsIn The Twelfth International Conference on Learning Representations, 2024
- ICML24UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation LearningIn Forty-first International Conference on Machine Learning, 2024
- Nat Mach IntellPre-training with fractional denoising to enhance molecular property predictionNature Machine Intelligence, 2024
- ICLR24Sliced Denoising: A Physics-Informed Molecular Pre-Training MethodIn The Twelfth International Conference on Learning Representations, 2024
- ICLR24Multimodal Molecular Pretraining via Modality BlendingIn The Twelfth International Conference on Learning Representations, 2024
- arXivMoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding AnalysisarXiv preprint arXiv:2406.17797, 2024