Journal Papers:
Scott Oslund, Clayton Washington, Andrew So, Tingting Chen, and Hao Ji. Multiview Robust Adversarial Stickers for Arbitrary Objects in the Physical World. Journal of Computational and Cognitive Engineering (JCCE), 152-158, 2022.
Hao Ji, Michael Mascagni, and Yaohang Li. Gaussian Variant of Freivalds' Algorithm for Efficient and Reliable Matrix Product Verification. Monte Carlo Methods and Applications (MCMA), 26(4), 273-284, 2020.
Weidong Li, Wei Li, Pai Song, and Hao Ji. A Conservation-Moment-Based Implicit Finite Volume Lattice Boltzmann Method for Steady Nearly Incompressible Flows. Journal of Computational Physics (JCP), 398, 2019.
Hao Ji and Yaohang Li. A Breakdown-Free Block Conjugate Gradient Method. BIT Numerical Mathematics (BIT),57(2), 379-403, 2017.
Hao Ji, Yaohang Li, and Seth Weinberg. Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 14(3), 611-619, 2017.
Hao Ji and Yaohang Li. Block Conjugate Gradient Algorithms for Least Squares Problems. Journal of Computational and Applied Mathematics (JCAM), 317: 203-217, 2017.
Dazhi Chong, Hui Shi, Liuliu Fu, Hao Ji, and Gongjun Yan. The Impact of XBRL on Information Asymmetry: Evidence from Loan Contracting. Journal of Management Analytics (TJMA), 4(2), 145-158, 2017.
Ashraf Yaseen, Hao Ji, and Yaohang Li. A Load-Balancing Workload Distribution Scheme for Three-Body Interaction Computation on Graphics Processing Units (GPU). Journal of Parallel and Distributed Computing (JPDC), 87: 91-101, 2016.
Hao Ji, Michael Mascagni, and Yaohang Li. Convergence Analysis of Markov Chain Monte Carlo Linear Solvers using Ulam-von Neumann Algorithm. SIAM Journal on Numerical Analysis (SINUM), 51(4): 2107-2122, 2013

Preprints:
Hao Ji, Seth Weinberg, and Yaohang Li A Revisit of Block Power Methods for Finite State Markov Chain Application. arXiv preprint arXiv:1610.08881
Hao Ji, Wenjian Yu, and Yaohang Li. A Rank Revealing Randomized Singular Value Decomposition Algorithm for Low-rank Matrix Approximations. arXiv preprint arXiv:1605.08134
Eitan Rothberg, Tingting Chen, Luo Jie, Hao Ji. Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification. arXiv preprint arXiv:1909.04779.

Book Chapters:
Bo Ji, Wenlu Zhang, Rongjian Li, and Hao Ji. Deep Learning Models for Biomedical Image Analysis. Computational Models for Biomedical Reasoning and Problem Solving, IGI Global, ISBN: 9781522574675, 2019
Hao Ji and Yaohang Li. Monte Carlo Methods and their Applications in Big Data Analysis. Mathematical Problems in Data Science - Theoretical and Practical Methods, Springer, ISBN: 978-3-319-25127-1, 2015

Conference/Workshop/Poster Papers:
David Hughes and Hao Ji. Enhancing Object Detection Using Synthetic Examples. in the Proceedings of the IEEE 11th Annual Computing and Communication Workshop and Conference, 1398-1402, 2021.
Philip Yao, Andrew So, Tingting Chen, and Hao Ji. On Multiview Robustness of 3D Adversarial Attacks. in the Proceedings of the Practice and Experience in Advanced Research Computing 2020 Conference, Portland, OR, 372-378, 2020.
Philip Yao, Andrew So, Tingting Chen, and Hao Ji. Multiview-Robust 3D Adversarial Examples of Real-world Objects. CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, Poster, Seattle, Washington, 2020
Eitan Rothberg, Tingting Chen, and Hao Ji. Towards Better Accuracy and Robustness with Localized Adversarial Training. in the Proceedings of the AAAI Conference on Artificial Intelligence, Student Poster, Honolulu, Hawaii, 2019
Hao Ji, Seth Weinberg, Min Li, Jianxin Wang, and Yaohang Li. An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices. 2016 IEEE International Conferences on Big Data and Cloud Computing, Social Computing and Networking, Sustainable Computing and Communications, Atlanta, GA, 554-559, 2016
Hao Ji, Erich O'Saben, Rohit Lambi, and Yaohang Li. Matrix Completion Based Model V2.0: Predicting the Winning Probabilities of March Madness Matches. in the Proceedings of Modeling, Simulation, and Visualization Student Capstone Conference, Suffolk, VA, 2016.
Hao Ji, Yaohang Li, and Seth Weinberg. Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model. The Eleventh International Symposium on Bioinformatics Research and Applications (ISBRA), Norfolk, Virginia, 2015.
Hao Ji, Erich O'Saben, Adam Boudion, and Yaohang Li. March Madness Prediction: A Matrix Completion Approach. in the Proceedings of Modeling, Simulation, and Visualization Student Capstone Conference, Suffolk, VA, 2015. Best Paper Award
Hao Ji, Masha Sosonkina, and Yaohang Li. An Implementation of Block Conjugate Gradient Algorithm on CPU-GPU Processors. The First International Workshop on Hardware-Software Co-design for High Performance Computing (Co-HPC), in conjunction with the SC'14 conference. New Orleans, LA, 2014.
Hao Ji and Yaohang Li. GPU Accelerated Randomized Singular Value Decomposition and Its Application in Image Compression. in the Proceedings of Modeling, Simulation, and Visualization Student Capstone Conference, Suffolk, VA, 2014. Best Paper Award
Hao Ji and Yaohang Li. Reusing Random Walks in Monte Carlo Methods for Linear Systems. in the Proceedings of the International Conference on Computational Science (ICCS2012), Omaha, 2012.
Xiaoping Liu, Lin Du, Hao Ji, and Hui Shi. The Visualization of Constraints Conflict in Collaborative Design. The Thirteenth International Conference on Computer Supported Cooperative Work in Design(CSCWD 2009), 32-37. IEEE, 2009.

Abstracts:
Hao Ji, Michael Mascagni, and Yaohang Li. Comparison of Deterministic and Stochastic Measures of Numerical Reproducibility. The 2nd Numerical Reproducibility at Exascale Workshop (NRE2016), in conjunction with the SC'16 conference, Salt Lake, Utah, November 2016.
Hao Ji and Yaohang Li. Revisit of Monte Carlo Methods on Solving Large-Scale Linear Systems. The 8th International Congress on Industrial and Applied Mathematics (ICIAM2015), Beijing, China, August 2015.