Hongwei Jin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Active Learning

Top Venues

J. Chem. Inf. Model.

Publications

Ningfeng Liu, Jie Yu, Siyu Xiu, Xinfang Zhao, Siyu Lin, Bo Qiang, Ruqiu Zheng, Hongwei Jin, Liangren Zhang, Zhenming Liu
Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation. CoRR (2024)
Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning. CoRR (2024)
Hongwei Jin, Prasanna Balaprakash, Allen Zou, Pieter Ghysels, Aditi S. Krishnapriyan, Adam Mate, Arthur K. Barnes, Russell Bent
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement. CoRR (2024)
Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR (2024)
Xiaoji Liu, Ying Liu, Hongwei Jin
C-S and Strongly C-S Orthogonal Matrices. Axioms 13 (2) (2024)
George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. CoRR (2023)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Jiaxuan Yao, Xiaoji Liu, Hongwei Jin
Characterizations of the Generalized MPCEP Inverse of Rectangular Matrices. J. Appl. Math. 2023 (2023)
Hongwei Jin, Shumin Xu, Yuzhen Wang, Xiaoji Liu
The Moore-Penrose inverse of tensors via the M-product. Comput. Appl. Math. 42 (6) (2023)
Hongwei Jin, Fengqin Wu
An Intelligent Prediction for the Innovation Capability of BIM Based on MSCNN-AMIGRU in Industrial Cyber Physical Systems. IEEE Syst. J. 17 (4) (2023)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash
Self-supervised Learning for Anomaly Detection in Computational Workflows. CoRR (2023)
Jie Zhou, Haifei Lin, Shugang Li, Hongwei Jin, Bo Zhao, Shihao Liu
Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network. Reliab. Eng. Syst. Saf. 232 (2023)
Hongwei Jin, Zishun Yu, Xinhua Zhang
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats. NeurIPS (2022)
Hongwei Jin, Xun Chen
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. CoRR (2022)
Hongwei Jin, Zishun Yu, Xinhua Zhang
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. UAI (2022)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC (2022)
Hongwei Jin, Xun Chen
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. IJCAI (2022)
Hongwei Jin, Zishun Yu, Xinhua Zhang
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound. CoRR (2022)
Ningfeng Liu, Junyong Lai, Chuanyu Lyu, Bo Qiang, Heyu Wang, Hongwei Jin, Liangren Zhang, Zhenming Liu
Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis. J. Chem. Inf. Model. 61 (7) (2021)
Wenjie Li, Jingfeng Huang, Lingbo Yang, Yan Chen, Yahua Fang, Hongwei Jin, Han Sun, Ran Huang
A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data. Remote. Sens. 13 (16) (2021)
Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri, Xinhua Zhang
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks. NeurIPS (2020)
Hongwei Jin, Xinhua Zhang
Robust Training of Graph Convolutional Networks via Latent Perturbation. ECML/PKDD (3) (2020)
Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Li He Zhang, Liang Ren Zhang, Zhenming Liu
TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network. J. Chem. Inf. Model. 60 (6) (2020)
Hongwei Jin, Ning Yan, Masood S. Mortazavi
Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning. BDCAT (2020)
Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Li He Zhang, Liangren Zhang, Zhenming Liu
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network. CoRR (2019)
Huaiyue Peng, Jingfeng Huang, Hongwei Jin, Han Sun, Dengfeng Chai, Xiuzhen Wang, Bing Han, Zhen Zhou, Libing Xu
Detecting Coffee (Coffea Arabica L.) Sequential Flowering Events Based on Image Segmentation. Agro-Geoinformatics (2018)
Dongdong Zhang, Lamin R. Mansaray, Hongwei Jin, Han Sun, Zhaomin Kuang, Jingfeng Huang
A universal estimation model of fractional vegetation cover for different crops based on time series digital photographs. Comput. Electron. Agric. 151 (2018)
Hongwei Jin, Minru Bai, Julio Benítez, Xiaoji Liu
The generalized inverses of tensors and an application to linear models. Comput. Math. Appl. 74 (3) (2017)
Jie Xia, Hongwei Jin, Zhenming Liu, Liang Ren Zhang, Xiang Simon Wang
An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs. J. Chem. Inf. Model. 54 (5) (2014)
Xiaoji Liu, Hongwei Jin, Dragana S. Cvetkovic-Ilic
Representations of generalized inverses of partitioned matrix involving Schur complement. Appl. Math. Comput. 219 (18) (2013)
Xiaoji Liu, Qi Yang, Hongwei Jin
New Representations of the Group Inverse of 2×2 Block Matrices. J. Appl. Math. 2013 (2013)
Hongwei Jin, Minlie Huang, Xiaoyan Zhu
Sentiment Analysis with Multi-source Product Reviews. ICIC (1) (2012)
Xiaoji Liu, Hongwei Jin, Dragana S. Cvetkovic-Ilic
The absorption laws for the generalized inverses. Appl. Math. Comput. 219 (4) (2012)
Fangtao Li, Nathan Nan Liu, Hongwei Jin, Kai Zhao, Qiang Yang, Xiaoyan Zhu
Incorporating Reviewer and Product Information for Review Rating Prediction. IJCAI (2011)