← Authors

Jianzhu Ma

38 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (3) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (48) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Keyword Champion (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (38) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (115) πŸ”₯ Unstoppable (5)

Conferences

ICML (14) ICLR (10) NIPS (10) AISTATS (1) CVPR (1) RSS (1) UAI (1)

Top co-authors

Jian Peng (20) Jiaqi Guan (12) Shitong Luo (10) Xingang Peng (9) Jiahan Li (8) Qiang Liu (7) Xiangxin Zhou (5) Ruihan Guo (4) Yitao Liang (4) Zhizhou Ren (4)

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