A novel protein descriptor for the prediction of drug binding sites. - Mingjian Jiang; Zhen Li 024; Yujie Bian; Zhiqiang Wei 002 (BMC Bioinform., 2019)

Molecule Property Prediction Based on Spatial Graph Embedding. - Xiaofeng Wang; Zhen Li 024; Mingjian Jiang; Shuang Wang; Shugang Zhang; Zhiqiang Wei 002 (J. Chem. Inf. Model., 2019)

Mechanisms Underlying Sulfur Dioxide Pollution Induced Ventricular Arrhythmia: A Simulation Study. - Shugang Zhang; Weigang Lu; Zhen Li 024; Shuang Wang; Mingjian Jiang; Qing Yuan; Zhiqiang Wei 002; Henggui Zhang (BIBM, 2020)

Molecular Property Prediction Based on a Multichannel Substructure Graph. - Shuang Wang; Zhen Li 024; Shugang Zhang; Mingjian Jiang; Xiaofeng Wang; Zhiqiang Wei 002 (IEEE Access, 2020)

Corrections to "Molecular Property Prediction Based on a Multichannel Substructure Graph". - Shuang Wang; Zhen Li 024; Shugang Zhang; Mingjian Jiang; Xiaofeng Wang; Zhiqiang Wei 002 (IEEE Access, 2020)

Molecular substructure tree generative model for de novo drug design. - Shuang Wang; Tao Song 001; Shugang Zhang; Mingjian Jiang; Zhiqiang Wei 002; Zhen Li 024 (Briefings Bioinform., 2022)

Enhancing Protein Function Prediction Performance by Utilizing AlphaFold-Predicted Protein Structures. - Wenjian Ma; Shugang Zhang; Zhen Li 024; Mingjian Jiang; Shuang Wang; Weigang Lu; Xiangpeng Bi; Huasen Jiang; Henggui Zhang; Zhiqiang Wei 002 (J. Chem. Inf. Model., 2022)

Predicting Drug-Target Affinity by Learning Protein Knowledge From Biological Networks. - Wenjian Ma; Shugang Zhang; Zhen Li 024; Mingjian Jiang; Shuang Wang; Nianfan Guo; Yuanfei Li; Xiangpeng Bi; Huasen Jiang; Zhiqiang Wei 002 (IEEE J. Biomed. Health Informatics, 2023)

Underwater image enhancement method through color correction and guide image filtering. - Xiaojing Li; Mingjian Jiang; Xupeng Wang (CVDL, 2024)

Graph-based Uncertainty Metrics for Long-form Language Model Generations. - Mingjian Jiang; Yangjun Ruan; Prasanna Sattigeri; Salim Roukos; Tatsunori B. Hashimoto (NeurIPS, 2024)

Unsupervised Domain Adaptation via Contrastive Learning and Complementary Region-Class Mixing. - Xiaojing Li; Wei Zhou; Mingjian Jiang (IEEE Access, 2024)

Graph-based Uncertainty Metrics for Long-form Language Model Outputs. - Mingjian Jiang; Yangjun Ruan; Prasanna Sattigeri; Salim Roukos; Tatsunori Hashimoto (CoRR, 2024)

f-PO: Generalizing Preference Optimization with f-divergence Minimization. - Jiaqi Han; Mingjian Jiang; Yuxuan Song; Jure Leskovec; Stefano Ermon; Minkai Xu (CoRR, 2024)

Hierarchical Siamese network for real-time visual tracking. - Xiaojing Li; Guanqun Wei; Mingjian Jiang; Wei Zhou (Expert Syst. Appl., 2024)

f-PO: Generalizing Preference Optimization with f-divergence Minimization. - Jiaqi Han; Mingjian Jiang; Yuxuan Song; Stefano Ermon; Minkai Xu (AISTATS, 2025)

A Meta-Reinforcement Learning-Based Poisoning Attack Framework Against Federated Learning. - Wei Zhou; Donglai Zhang; Hongjie Wang; Jinliang Li; Mingjian Jiang (IEEE Access, 2025)

SeqMG-RPI: A Sequence-Based Framework Integrating Multi-Scale RNA Features and Protein Graphs for RNA-Protein Interaction Prediction. - Teng Ma; Mingjian Jiang; Shunpeng Pang; Zhi Zhang; Huaibin Hang; Wei Zhou; Yuanyuan Zhang (J. Chem. Inf. Model., 2025)

Putting It All into Context: Simplifying Agents with LCLMs. - Mingjian Jiang; Yangjun Ruan; Luis A. Lastras; Pavan Kapanipathi; Tatsunori Hashimoto (CoRR, 2025)

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters. - Wanjia Zhao; Jiaqi Han; Siyi Gu; Mingjian Jiang; James Zou 001; Stefano Ermon (CoRR, 2025)