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Hongwei Jin
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2020 – today
- 2024
- [j15]Xiaoji Liu, Ying Liu, Hongwei Jin:
C-S and Strongly C-S Orthogonal Matrices. Axioms 13(2): 110 (2024) - [i10]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 abs/2404.06691 (2024) - [i9]Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman:
Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR abs/2405.06133 (2024) - [i8]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 abs/2405.10389 (2024) - [i7]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 abs/2407.17545 (2024) - [i6]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [j14]Hongwei Jin, Shumin Xu, Yuzhen Wang, Xiaoji Liu:
The Moore-Penrose inverse of tensors via the M-product. Comput. Appl. Math. 42(6): 294 (2023) - [j13]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): 394-411 (2023) - [j12]Jiaxuan Yao, Xiaoji Liu, Hongwei Jin:
Characterizations of the Generalized MPCEP Inverse of Rectangular Matrices. J. Appl. Math. 2023: 6235312:1-6235312:10 (2023) - [j11]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: 109051 (2023) - [j10]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): 5228-5238 (2023) - [i5]George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman:
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. CoRR abs/2306.09930 (2023) - [i4]Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash:
Self-supervised Learning for Anomaly Detection in Computational Workflows. CoRR abs/2310.01247 (2023) - 2022
- [c10]Hongwei Jin, Xun Chen:
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. IJCAI 2022: 2115-2121 - [c9]Hongwei Jin, Zishun Yu, Xinhua Zhang:
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats. NeurIPS 2022 - [c8]Hongwei Jin, Zishun Yu, Xinhua Zhang:
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. UAI 2022: 917-927 - [c7]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: 35-42 - [i3]Hongwei Jin, Xun Chen:
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. CoRR abs/2202.00808 (2022) - [i2]Hongwei Jin, Zishun Yu, Xinhua Zhang:
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound. CoRR abs/2205.05838 (2022) - 2021
- [j9]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): 3323-3336 (2021) - [j8]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): 3231 (2021) - 2020
- [j7]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): 2754-2765 (2020) - [c6]Hongwei Jin, Ning Yan, Masood S. Mortazavi:
Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning. BDCAT 2020: 124-133 - [c5]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 - [c4]Hongwei Jin, Xinhua Zhang:
Robust Training of Graph Convolutional Networks via Latent Perturbation. ECML/PKDD (3) 2020: 394-411
2010 – 2019
- 2019
- [i1]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 abs/1912.11430 (2019) - 2018
- [j6]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: 93-103 (2018) - [c3]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: 1-6 - 2017
- [j5]Hongwei Jin, Minru Bai, Julio Benítez, Xiaoji Liu:
The generalized inverses of tensors and an application to linear models. Comput. Math. Appl. 74(3): 385-397 (2017) - 2014
- [j4]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): 1433-1450 (2014) - 2013
- [j3]Xiaoji Liu, Hongwei Jin, Dragana S. Cvetkovic-Ilic:
Representations of generalized inverses of partitioned matrix involving Schur complement. Appl. Math. Comput. 219(18): 9615-9629 (2013) - [j2]Xiaoji Liu, Qi Yang, Hongwei Jin:
New Representations of the Group Inverse of 2×2 Block Matrices. J. Appl. Math. 2013: 247028:1-247028:10 (2013) - 2012
- [j1]Xiaoji Liu, Hongwei Jin, Dragana S. Cvetkovic-Ilic:
The absorption laws for the generalized inverses. Appl. Math. Comput. 219(4): 2053-2059 (2012) - [c2]Hongwei Jin, Minlie Huang, Xiaoyan Zhu:
Sentiment Analysis with Multi-source Product Reviews. ICIC (1) 2012: 301-308 - 2011
- [c1]Fangtao Li, Nathan Nan Liu, Hongwei Jin, Kai Zhao, Qiang Yang, Xiaoyan Zhu:
Incorporating Reviewer and Product Information for Review Rating Prediction. IJCAI 2011: 1820-1825
Coauthor Index
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last updated on 2024-10-13 18:02 CEST by the dblp team
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