Jianzhu Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
10
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Group Ligands Docking to Protein Pockets. | Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma |
| 2025 | ICLR | Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. | Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma |
| 2025 | ICLR | TFG-Flow: Training-free Guidance in Multimodal Generative Flow. | Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma |
| 2025 | ICLR | Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows. | Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma |
| 2025 | ICML | Safety-Polarized and Prioritized Reinforcement Learning. | Ke Fan, Jinpeng Zhang, Xuefeng Zhang, Yunze Wu, Jingyu Cao, Yuan Zhou, Jianzhu Ma |
| 2025 | ICML | Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints. | Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu |
| 2025 | ICML | UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design. | Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu |
| 2025 | ICML | Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling. | Xiangxin Zhou, Mingyu Li, Yi Xiao, Jiahan Li, Dongyu Xue, Zaixiang Zheng, Jianzhu Ma, Quanquan Gu |
| 2025 | ICRA | PUGS: Zero-Shot Physical Understanding with Gaussian Splatting. | Yinghao Shuai, Ran Yu, Yuantao Chen, Zijian Jiang, Xiaowei Song, Nan Wang, Jv Zheng, Jianzhu Ma, Meng Yang, Zhicheng Wang, Wenbo Ding, Hao Zhao |
| 2025 | RECOMB | Orientation-Aware Networks for Protein Structure Representation Learning. | Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma |
| 2025 | RECOMB | Rag2Mol: Structure-Based Drug Design Based on Retrieval Augmented Generation. | Peidong Zhang, Xingang Peng, Rong Han, Ting Chen, Jianzhu Ma |
| 2024 | ICLR | InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation. | Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu |
| 2024 | ICML | Full-Atom Peptide Design based on Multi-modal Flow Matching. | Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma |
| 2024 | ICML | Selecting Large Language Model to Fine-tune via Rectified Scaling Law. | Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang |
| 2024 | ICML | Projecting Molecules into Synthesizable Chemical Spaces. | Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma |
| 2024 | ICML | FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. | Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng |
| 2023 | ICLR | 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. | Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma |
| 2023 | ICLR | Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs. | Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang |
| 2023 | ICLR | Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction. | Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma |
| 2023 | ICLR | Learning Sparse Group Models Through Boolean Relaxation. | Yijie Wang, Yuan Zhou, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma |
| 2023 | ICML | DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. | Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu |
| 2023 | ICML | MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. | Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma |
| 2022 | CVPR | Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. | Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma |
| 2022 | ICLR | Energy-Inspired Molecular Conformation Optimization. | Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng |
| 2022 | ICML | 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. | Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang |
| 2022 | ICML | Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. | Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma |
| 2022 | ICML | Proximal Exploration for Model-guided Protein Sequence Design. | Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng |
| 2022 | KDD | Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data. | Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri |
| 2022 | WWW | Neural Predicting Higher-order Patterns in Temporal Networks. | Yunyu Liu, Jianzhu Ma, Pan Li |
| 2022 | WWW | Understanding Dropout for Graph Neural Networks. | Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma |
| 2021 | ICML | XOR-CD: Linearly Convergent Constrained Structure Generation. | Fan Ding, Jianzhu Ma, Jinbo Xu, Yexiang Xue |
| 2021 | KDD | Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns. | Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma |
| 2021 | UAI | PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. | Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue |
| 2019 | RECOMB | Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. | Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng |
| 2018 | PSB | Annotating gene sets by mining large literature collections with protein networks. | Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker |
| 2018 | RECOMB | Deciphering Signaling Specificity with Deep Neural Networks. | Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng |
| 2015 | RECOMB | Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning. | Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu |
| 2015 | UAI | Structure Learning Constrained by Node-Specific Degree Distribution. | Jianzhu Ma, Feng Zhao, Jinbo Xu |
| 2014 | RECOMB | MRFalign: Protein Homology Detection through Alignment of Markov Random Fields. | Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu |
| 2013 | AISTATS | Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling. | Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu |