Jianzhu Ma
- InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
2023/09/12 by Xingchao Liu, Xiwen Zhang, Liu, Xingchao +7 · 1 voice · 58 citations
Computer Science · #cs.LG #cs.CV
- Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
2022/05/15 by Xingang Peng, Peng, Xingang, Shitong Luo +9 · 32 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
2023/03/06 by Jiaqi Guan, Guan, Jiaqi, Wesley Wei Qian +9 · 25 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- TFG: Unified Training-Free Guidance for Diffusion Models
2024/09/24 by Haotian Ye, Ye, Haotian, Haowei Lin +15 · 19 citations
Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nuclear reactor physics and engineering
- MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
2023/05/11 by Xingang Peng, Jiaqi Guan, Peng, Xingang +5 · 10 citations
Materials Science · Engineering · #Machine Learning in Materials Science #Innovative Microfluidic and Catalytic Techniques Innovation #Microfluidic and Capillary Electrophoresis Applications
- DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
2024/02/26 by Jiaqi Guan, Guan, Jiaqi, Xiangxin Zhou +15 · 11 citations
Computer Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Full-Atom Peptide Design based on Multi-modal Flow Matching
2024/06/02 by Jiahan Li, Chaoran Cheng, Li, Jiahan +13 · 9 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Mass Spectrometry Techniques and Applications
- Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
2022/03/28 by Shitong Luo, Jiahan Li, Luo, Shitong +11 · 5 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction
- Neural Predicting Higher-order Patterns in Temporal Networks
2021/06/10 by Yunyu Liu, Liu, Yunyu, Jianzhu Ma +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural Networks and Applications #Social and Information Networks (cs.SI)
- Protein secondary structure prediction using deep convolutional neural fields
2015/12/02 by Sheng Wang, Wang, Sheng, Jian Peng +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Protein Structure and Dynamics #Computational Drug Discovery Methods #Machine Learning in Bioinformatics
- Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
2024/11/26 by Jiahan Li, Tong Chen, Li, Jiahan +17 · 5 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Biochemical and Structural Characterization #Biomolecules (q-bio.BM) #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics
- Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs
2022/10/22 by Yinan Huang, Xingang Peng, Huang, Yinan +5 · 2 citations
Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Advanced Graph Neural Networks
- Protein Structure Prediction by Protein Alignments
2015/10/19 by Jianzhu Ma, Ma, Jianzhu · 1 citation
Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Protein Structure and Dynamics #and Science (cs.CE)
- Scientific Computing with Diffractive Optical Neural Networks
2023/02/12 by Ruiyang Chen, Chen, Ruiyang, Yingheng Tang +5 · 1 citation
Computer Science · Engineering · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Optical Network Technologies #Optics (physics.optics) #Photonic and Optical Devices
- Generative Evaluation of Complex Reasoning in Large Language Models
2025/04/03 by Haowei Lin, Xiangyu Wang, Lin, Haowei +16 · 3 citations
Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- A Neural Symbolic Model for Space Physics
2025/03/11 by Jie Ying, Haowei Lin, Ying, Jie +17 · 2 citations
Computer Science · Neuroscience · #Neural Networks and Applications #Cognitive Science and Education Research #Computational Physics and Python Applications
- SceneActBench: Can Agents Act on the 3D Scenes They See?
2026/07/24 by Yifei Zhao, Xiangxin Zhou, Wenhao Yang +11
#cs.AI #cs.CV