Shikui Tu
Tenured Associate Professor
Works on machine learning and its applications in bioinformatics and drug discovery.
Shikui Tu's lab at SJTU works on proteins, drugs & materials and genomics & computational biology. 52 papers since 2023, 20 at top venues, mostly NeurIPS and IJCAI. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 38%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 6 · collecting
- 10 papers2025 · T1 5
- 18 papers2024 · T1 6
- 12 papers2023 · T1 3
T1 venuesOtherVenues: NeurIPS, IJCAI, AAAI, ICLR, KDD
Research focuspaper titles that use each topic's words
- drug7 papers
- Proteins, drugs & materials3 papers
- Genomics & computational biology0 papers
- drug discovery0 papers
- bioinformatics0 papers
Paper list
From the lab homepage.
202612 papers
- VitaA novel proteasome-ribosome axis regulated by endogenous siRNAs in oocytes governs maternal-to-zygotic transition (opens in a new tab)
- —An EEG-based dual-stream spatial-spectral-temporal large model for self-limited epilepsy with centrotemporal spikes (opens in a new tab)
- ICLR (T1)Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval (opens in a new tab)
- ICML (T1)Factored Causal Representation Learning for Robust Reward Modeling in RLHF (opens in a new tab)
- AAAI (T1)Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks (opens in a new tab)
- BIBGenerative design and validation of therapeutic peptides for glioblastoma based on a potential target ATP5A (opens in a new tab)
- TIP (T1)Harnessing Diffusion Models for Image Manipulation With Partial Sketches (opens in a new tab)
- —Neural-guided heuristic tree search for deep bidirectional decision-making: a survey (opens in a new tab)
- 2 , e1013936, February 19PAIRNet: Predicting PIWI cleavage specificity via position-aware RNA interaction modeling (opens in a new tab)
- BIBPDTSyn: a parameter-decomposed transformer for domain-generalized cell line-aware drug synergy prediction (opens in a new tab)
- AAAI (T1)SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding (opens in a new tab)
- KDD (T1)UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates (opens in a new tab)
202510 papers
- NARArgonaute CSR-1A promotes H3K9me3 maintenance to protect somatic development in offspring (opens in a new tab)
- —GN-Net: A Geometric and Neighborhood-Aware Network for Predicting Intracranial Aneurysm Rupture Risk and Assisting Clinical Decision-Making (opens in a new tab)
- —GraphFusion: Integrative prediction of drug synergy using multi-scale graph representations and cell line contexts (opens in a new tab)
- NeurIPS (T1)KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration (opens in a new tab)
- TCBBMulti-Objective Structure-Based Drug Design Using Causal Discovery (opens in a new tab)
- NeurIPS (T1)Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number (opens in a new tab)
- KDD (T1)S3GA: Towards Scalable Self-Supervised Learning for Large Scale Graph Alignment (opens in a new tab)
- Machine LearningSketchMLP: effectively utilize rasterized images and drawing sequences for sketch recognition (opens in a new tab)
- NeurIPS (T1)Text to Sketch Generation with Multi-Styles (opens in a new tab)
- ICLR (T1)Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations (opens in a new tab)
202418 papers
- 1 : 5399392A Deep Reinforcement Learning Approach for Portfolio Management in Non‐Short‐Selling Market
- BIBMA Multimodal Deep Neural Network for Causally Learning Chest X-ray Images (opens in a new tab)
- IJCAI (T1)Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge (opens in a new tab)
- IJARCauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes (opens in a new tab)
- TCBBDe Novo Drug Design by Multi-Objective Path Consistency Learning with Beam A∗ Search (opens in a new tab)
- Communications ChemistryEfficient retrosynthetic planning with MCTS exploration enhanced A* search (opens in a new tab)
- Machine LearningIA-NGM: A bidirectional learning method for neural graph matching with feature fusion (opens in a new tab)
- BIBKGDiff: towards explainable target-aware molecule generation with knowledge guidance (opens in a new tab)
- CVIULmser-pix2seq: Learning stable sketch representations for sketch healing (opens in a new tab)
- Nature Structural and Molecular BiologyMammalian PIWI-piRNA-target complexes reveal features for broad and efficient target-silencing
- BIBMMulMol: Transformer-based Multi-Task Molecular Representation Learning (opens in a new tab)
- AAAI (T1)Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction (opens in a new tab)
202312 papers
- PatternsA deep learning method for end-to-end prediction of intracranial aneurysm rupture risk (opens in a new tab)
- ICASSP (T1)A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection (opens in a new tab)
- DATEDeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network (opens in a new tab)
- DatabaseDrugGen: a database of de novo-generated molecular binders for specified target proteins (opens in a new tab)
- NeurIPS (T1)Generalized Weighted Path Consistency for Mastering Atari Games (opens in a new tab)
- IJCAI (T1)GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction (opens in a new tab)
- Neural NetworksIA-FaceS: A bidirectional method for semantic face editing (opens in a new tab)
- 计算机学报IA-pix2seq：一个实现简笔画可控生成的深度双向学习方法 (opens in a new tab)
- AAAI-23Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation (opens in a new tab)
- PLOS Computational BiologyMGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders (opens in a new tab)
- TCBBRefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction (opens in a new tab)
- AAAI-23Self-Supervised Bidirectional Learning for Graph Matching (opens in a new tab)
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.
Similar labsnearest by research summary
- CHETH Zurich
Eleni Chatzi
- Medical imaging & healthcare AI
- CNPeking
Yan Hou
- Medical imaging & healthcare AI
- CNPeking
Ruiping Xiao
- Medical imaging & healthcare AI
- GBUCL
James Cole
- Neuroscience & brain-computer interfaces
- USGeorgia Tech
Amirali Aghazadeh
- Proteins, drugs & materials
- SGNTU
Chee Keong Kwoh
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
SJTUcloses