Incorporating Reviewer and Product Information for Review Rating Prediction. - Fangtao Li; Nathan Nan Liu; Hongwei Jin; Kai Zhao; Qiang Yang 001; Xiaoyan Zhu (IJCAI, 2011)

Sentiment Analysis with Multi-source Product Reviews. - Hongwei Jin; Minlie Huang; Xiaoyan Zhu 001 (ICIC (1), 2012)

The absorption laws for the generalized inverses. - Xiaoji Liu; Hongwei Jin; Dragana S. Cvetkovic-Ilic (Appl. Math. Comput., 2012)

Representations of generalized inverses of partitioned matrix involving Schur complement. - Xiaoji Liu; Hongwei Jin; Dragana S. Cvetkovic-Ilic (Appl. Math. Comput., 2013)

New Representations of the Group Inverse of 2×2 Block Matrices. - Xiaoji Liu; Qi Yang; Hongwei Jin (J. Appl. Math., 2013)

An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs. - Jie Xia; Hongwei Jin; Zhenming Liu; Liang Ren Zhang; Xiang Simon Wang (J. Chem. Inf. Model., 2014)

The generalized inverses of tensors and an application to linear models. - Hongwei Jin; Minru Bai; Julio Benítez; Xiaoji Liu (Comput. Math. Appl., 2017)

Detecting Coffee (Coffea Arabica L.) Sequential Flowering Events Based on Image Segmentation. - Huaiyue Peng; Jingfeng Huang; Hongwei Jin; Han Sun; Dengfeng Chai; Xiuzhen Wang; Bing Han; Zhen Zhou; Libing Xu (Agro-Geoinformatics, 2018)

A universal estimation model of fractional vegetation cover for different crops based on time series digital photographs. - Dongdong Zhang; Lamin R. Mansaray; Hongwei Jin; Han Sun; Zhaomin Kuang; Jingfeng Huang (Comput. Electron. Agric., 2018)

Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning. - Hongwei Jin; Ning Yan; Masood S. Mortazavi (BDCAT, 2020)

Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks. - Hongwei Jin; Zhan Shi; Venkata Jaya Shankar Ashish Peruri; Xinhua Zhang (NeurIPS, 2020)

Robust Training of Graph Convolutional Networks via Latent Perturbation. - Hongwei Jin; Xinhua Zhang (ECML/PKDD (3), 2020)

TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network. - Yanxing Wang; Jianxing Hu; Junyong Lai; Yibo Li; Hongwei Jin; Li He Zhang; Liang Ren Zhang; Zhenming Liu (J. Chem. Inf. Model., 2020)

Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis. - Ningfeng Liu; Junyong Lai; Chuanyu Lyu; Bo Qiang; Heyu Wang; Hongwei Jin; Liangren Zhang; Zhenming Liu (J. Chem. Inf. Model., 2021)

A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data. - Wenjie Li; Jingfeng Huang; Lingbo Yang; Yan Chen; Yahua Fang; Hongwei Jin; Han Sun; Ran Huang (Remote. Sens., 2021)

Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. - Hongwei Jin; Xun Chen (IJCAI, 2022)

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats. - Hongwei Jin; Zishun Yu; Xinhua Zhang (NeurIPS, 2022)

Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. - Hongwei Jin; Zishun Yu; Xinhua Zhang (UAI, 2022)

Workflow Anomaly Detection with Graph Neural Networks. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Patrycja Krawczuk; Loïc Pottier; Mariam Kiran; Ewa Deelman; Prasanna Balaprakash (WORKS@SC, 2022)

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. - George Papadimitriou 002; Hongwei Jin; Cong Wang 014; Krishnan Raghavan; Anirban Mandal; Prasanna Balaprakash; Ewa Deelman (CoRR, 2023)

Self-supervised Learning for Anomaly Detection in Computational Workflows. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Ewa Deelman; Prasanna Balaprakash (CoRR, 2023)

Characterizations of the Generalized MPCEP Inverse of Rectangular Matrices. - Jiaxuan Yao; Xiaoji Liu; Hongwei Jin (J. Appl. Math., 2023)

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network. - Jie Zhou; Haifei Lin; Shugang Li 003; Hongwei Jin; Bo Zhao 012; Shihao Liu (Reliab. Eng. Syst. Saf., 2023)

Graph neural networks for detecting anomalies in scientific workflows. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Mariam Kiran; Ewa Deelman; Prasanna Balaprakash (Int. J. High Perform. Comput. Appl., 2023)

The Moore-Penrose inverse of tensors via the M-product. - Hongwei Jin; Shumin Xu; Yuzhen Wang; Xiaoji Liu (Comput. Appl. Math., 2023)

An Intelligent Prediction for the Innovation Capability of BIM Based on MSCNN-AMIGRU in Industrial Cyber Physical Systems. - Hongwei Jin; Fengqin Wu (IEEE Syst. J., 2023)

Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. - Hongwei Jin; George Papadimitriou 002; Krishnan Raghavan; Pawel Zuk; Prasanna Balaprakash; Cong Wang 014; Anirban Mandal; Ewa Deelman (SC, 2024)

Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation. - Ningfeng Liu; Jie Yu; Siyu Xiu; Xinfang Zhao; Siyu Lin; Bo Qiang; Ruqiu Zheng; Hongwei Jin; Liangren Zhang; Zhenming Liu (CoRR, 2024)

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement. - Hongwei Jin; Prasanna Balaprakash; Allen Zou; Pieter Ghysels; Aditi S. Krishnapriyan; Adam Mate; Arthur K. Barnes; Russell Bent (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - 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; et al. (CoRR, 2024)

C-S and Strongly C-S Orthogonal Matrices. - Xiaoji Liu; Ying Liu; Hongwei Jin (Axioms, 2024)

A novel framework for dynamic and quantitative mapping of damage severity due to compound Drought-Heatwave impacts on tea Plantations, integrating Sentinel-2 and UAV images. - Ran Huang; Yuanjun Xiao; Shengcheng Li; Jianing Li; Wei Weng 005; Qi Shao; Jingcheng Zhang; Yao Zhang; Lingbo Yang; Chao Huang; Weiwei Sun; Weiwei Liu; et al. (Comput. Electron. Agric., 2025)

Advancing anomaly detection in computational workflows with active learning. - Krishnan Raghavan; George Papadimitriou 002; Hongwei Jin; Anirban Mandal; Mariam Kiran; Prasanna Balaprakash; Ewa Deelman (Future Gener. Comput. Syst., 2025)

A study on the 1-Γ inverse of tensors via the M-Product. - Siran Chen; Hongwei Jin; Shaowu Huang; Julio Benítez (CoRR, 2025)

A study on the C-eigenvalue of the third-order tensors. - Jie Liu; Xiaoji Liu; Hongwei Jin; Hongxing Wang (Comput. Appl. Math., 2025)

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling. - Prachi Jadhav; Hongwei Jin; Ewa Deelman; Prasanna Balaprakash (CoRR, 2025)

On extensions of the GD inverse of tensors via the M-product. - Hongwei Jin; Siran Chen; Shaowu Huang; Predrag S. Stanimirovic (Comput. Appl. Math., 2025)