Zhou, Jingbo

22 publications

IJCAI 2025 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li

ICLR 2025 Bridging the Gap Between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li

IJCAI 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li

AAAI 2025 Improving Retrieval Augmented Language Model with Self-Reasoning Yuan Xia, Jingbo Zhou, Zhenhui Shi, Jun Chen, Haifeng Huang

NeurIPS 2025 PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia

ICLR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li

NeurIPS 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics Against Data Biases Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li

NeurIPSW 2024 Bridging the Gap Between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li

NeurIPS 2024 Deep Graph Neural Networks via Posteriori-Sampling-Based Node-Adaptative Residual Module Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li

AAAI 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou

ECML-PKDD 2024 Hierarchical Structure-Aware Graph Prompting for Drug-Drug Interaction Prediction Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong

NeurIPS 2024 NovoBench: Benchmarking Deep Learning-Based \emph{De Novo} Sequencing Methods in Proteomics Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li

IJCAI 2024 Robust Reward Placement Under Uncertainty Petros Petsinis, Kaichen Zhang, Andreas Pavlogiannis, Jingbo Zhou, Panagiotis Karras

AAAI 2023 Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu

ICCV 2023 Tuning Pre-Trained Model via Moment Probing Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou

AAAI 2022 Efficient Device Scheduling with Multi-Job Federated Learning Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

AAAI 2022 GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

AAAI 2021 C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

AAAI 2021 Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu

AAAI 2020 Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang

AAAI 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

AAAI 2016 Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum