Jianzhu Ma
38 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (3)
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Taxonomy Completionist
(48)
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Conference Polyglot
(7)
π
Academic Marathon
(12)
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Dynamic Duo
(20)
π
Triple Crown
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Keyword Champion
(5)
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Trend Setter
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Century Club
(38)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(115)
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Unstoppable
(5)
Conferences
ICML (14)
ICLR (10)
NIPS (10)
AISTATS (1)
CVPR (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
molecular generation
(6)
diffusion model
(5)
drug design
(5)
graph neural network
(4)
generative model
(3)
molecule generation
(3)
variational inference
(2)
structure-based drug design
(2)
representation learning
(2)
protein structure
(2)
transfer learning
(1)
video understanding
(1)
conditional generation
(1)
point cloud analysis
(1)
3d vision
(1)
action recognition
(1)
multimodal learning
(1)
sparse regression
(1)
sampling strategy
(1)
probabilistic modeling
(1)
Papers
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
ICML 2025
UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
ICML 2025
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
ICML 2025
Morpheus: A Neural-driven Animatronic Face with Hybrid Actuation and Diverse Emotion Control
RSS 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
ICLR 2025
Group Ligands Docking to Protein Pockets
ICLR 2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
ICLR 2025
Safety-Polarized and Prioritized Reinforcement Learning
ICML 2025
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
NIPS 2024
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
ICLR 2024
Full-Atom Peptide Design based on Multi-modal Flow Matching
ICML 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
ICML 2024
Projecting Molecules into Synthesizable Chemical Spaces
ICML 2024
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
ICML 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NIPS 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NIPS 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
ICML 2023
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
NIPS 2023
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
NIPS 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
ICML 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
ICLR 2023
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
ICLR 2023
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
ICLR 2023
Learning Sparse Group Models Through Boolean Relaxation
ICLR 2023
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
NIPS 2023
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
NIPS 2022
Proximal Exploration for Model-guided Protein Sequence Design
ICML 2022
Energy-Inspired Molecular Conformation Optimization
ICLR 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
CVPR 2022
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
NIPS 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
ICML 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
ICML 2022
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment
UAI 2021
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
NIPS 2021
XOR-CD: Linearly Convergent Constrained Structure Generation
ICML 2021
A 3D Generative Model for Structure-Based Drug Design
NIPS 2021
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
AISTATS 2013