好色先生

猸愶笍 Dr. Sahar Hooshmand:

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Journal Publications:

1. Kazerouni, A.M., Lee, M., Hubbard Cheuoua, A., Gautam, A., Hooshmand, S., et al. The Benefits of Socially Responsible Computing in Early Computing Courses: A Multi-Institutional Study at Primarily Undergraduate Hispanic-Serving Institutions. ACM Transactions on Computing Education, 25 (2), 1鈥�24, 2025.聽

2. Varadraj Gurupur, Sahar Hooshmand, Deepa Fernandes Prabhu, Elizabeth Trader, Sanket Salvi Incompleteness of Electronic Health Records: An Impending Process Problem within Healthcare Journal of Healthcare (MDPI), 2025

3. Thapa, B., Duarte-Vasquez, A., Hooshmand, S., Rathore, H. Evaluation of Ethical Decision Making in Large Language Models Across Classical Moral Frameworks. IEEE International Conference on Artificial Intelligence Testing (AITest 2025).聽

4. Kumar, A.S., Nejad, R.R., Hooshmand, S. High-Resolution Brain Tumor Mapping Through Advanced Imaging Techniques. IEEE SoutheastCon 2025, pp. 201鈥�206.聽

5. Joharapurkar, J., Hooshmand, S. Enzyme Classification using Transformer-Based Sequence Embeddings. 2025 International Conference on Machine Learning and Cybernetics (ICMLC 2025).聽

6. Purohit, L., Hooshmand, S. Deep Vision For Genomic Data. 2025 International Conference on Machine Learning and Cybernetics (ICMLC 2025).聽

7. Ahmadnia, B., Shaikh, S., Mohammed, S., Poudel, B., Hooshmand, S. Advancing Clinical Translation in Nepali with Fine-Tuned Multilingual Models. RANLP 2025.聽

8. Ahmadnia, B., Soma, Y., Rayani, M., Hooshmand, S. Leveraging Large Language Models for Superior Low-Resource Neural Machine Translation鈥�. 6th IEEE Conference on Machine Learning and Natural Language Processing (IEEE MNLP 2025).聽

9. Kumar, A.S., Nejad, R.R., Hooshmand, S. Vision Transformers in Early Detection of Cardiovascular Diseases. 2024 International Conference on Machine Learning and Cybernetics (ICMLC 2024).聽

10. Krum, D.M., Wood, Z., Kang, E., Kazerouni, A.M., Lehr, J.L., Hug, S., Hooshmand, S., et al. Board 383: Socially Responsible Computing: Promoting Latinx Student Retention Via Community Engagement in Early Computer Science Courses. 2024 ASEE Annual Conference & Exposition.聽

11. Nejad, R.R., Hooshmand, S. HViT4Lung: Hybrid Vision Transformers Augmented by Transfer Learning to Enhance Lung Cancer Diagnosis.聽5th International Conference on Bio-engineering for Smart Technologies (BIO-SMART 2023).聽

12. Gurupur, V.P., Abedin, P., Hooshmand, S., Shelleh, M. Analyzing the data completeness of patients鈥� records using a random variable approach to predict the incompleteness of electronic health records. Journal of Applied Sciences, 2023.聽

猸� Dr. Liudong Zuo:

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Conference Publications:聽

1. L. Zuo and P. Lai, 鈥淐ommunication-Efficient Scheduling for Cost- and Deadline-Aware Data Transfers in Support of Distributed Machine Learning,鈥� in The 16th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2025), Shenzhen, China, Nov. 2025.聽

2. H. Ye, P. Lai, X. Zhang, Y. Xie, L. Zuo, J. Zhu, H. Yin and P. Lin, 鈥淓nergy-Aware Thread Assignment and Resource Allocation in Multi-Server Systems,鈥� in The 10th International Conference on Computer and Communication Systems (ICCCS 2025), Chengdu, China, Apr. 2025.聽

3. L. Zuo, Z. Chen and P. Lai, 鈥淏alancing Cost and Completion Time Through Variable Paths With Variable Bandwidth in HPNs,鈥� in IEEE International Conference on Computing, Networking and Communications (ICNC 2025), Honolulu, Hawaii, Feb. 2025.聽

4. L. Zuo, P. Lai and Z. Chen, 鈥淗euristic Approaches for Cost-Effective Data Transfers in High- Performance Networks,鈥� in IEEE International Conference on Big Data (BigData 2024), Washington DC, USA, Dec. 2024.聽

5. Z. Chen, Y. He, D. Wu, L. Zuo, K. Li, W. Zhang, and Z. Deng, 鈥渓1,2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features,鈥� in IEEE International Conference on Big Data (BigData 2024), Washington DC, USA, Dec. 15 鈥� 18, 2024, pp. 384鈥�393.聽

6. Z. Zhang, H. Yin, L. Zuo, X. Zhang, J. Zhu, Y. Fan and P. Lai, 鈥淩einforcement Learning for Efficient Multi-Phase Resource Allocation,鈥� in IEEE International Conferences on High Performance Computing and Communications (HPCC 2024), Wuhan, China, Dec. 2024.聽

7. L. Zuo and D. Yun, 鈥淥ptimal Balancing of Data Transfer Time and Cost in High-Performance Networks,鈥� in IEEE International Conference on Computing, Networking and Communications (ICNC 2024), Big Island, Hawaii, Feb. 2024, pp. 60 鈥� 64.聽

8. L. Zuo and D. Yun, 鈥淭rade-off Between Completion Time and Cost of Data Transfers in Dedicated HPNs,鈥� in IEEE International Performance, Computing, and Communications Conference (IPCCC 2023), Anaheim, CA, USA, Nov. 2023, pp. 385 鈥� 390.聽

Journal Publications:聽

1. Z. Zhang, H. Yin, L. Zuo, and P. Lai, 鈥淩einforcement Learning for Solving the Knapsack Problem,鈥� Computers, Materials and Continua, vol. 84, iss. 1, pp. 919 鈥� 936, June 2025.聽

2. D. Yun, L. Zuo, Y. Gu, and C. Wu, 鈥淎n Automated Parameter Optimizer for Data Transfer Performance Testing,鈥� Software Impacts, vol. 24, June 2025.聽

猸� Dr. Brad Hollister:聽

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Book Publication:

1. Hollister, Brad Eric, and Alex Pang. Concise Introduction to Scientific Visualization. Springer International Publishing, 2022. Book Title聽Essential Guide to RenderMan庐 Shading Plugin Development聽Book Subtitle聽Understanding Bxdfs聽Authors聽Brad E. Hollister聽DOI聽聽Publisher聽Apress Berkeley, CA聽

猸� Dr. Bin Tang:

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Journal Publications:

1. 聽Truthful and Optimal Data Preservation in Base Station-less Sensor Networks: An Integrated Game Theory and Network Flow Approach鈥痆]聽Yuning Yu, Shangli Hsu, Andre Chen, Yutian Chen, Bin Tang.鈥�聽ACM Transactions on Sensor Networks, Volume 20, Issue 1, No. 5, pp 1-40, 2023聽

2. DAO2: Overcoming Overall Storage Overflow in Intermittently Connected Sensor Networks鈥痆]聽Bin Tang, Hung Ngo, Yan Ma, and Basil Alhakami.鈥�聽IEEE/ACM Transactions on Networking, vol. 31, no. 6, pp. 3143-3158, Dec. 2023聽

Conference Publications:聽

1. A Truthful and Efficient Auction Mechanism for Data Preservation in Base Station-less Sensor Networks鈥痆]聽Ryan Steubs, Yutian Chen, Bin Tang聽Proceedings of the IEEE International Conference on Communications (ICC 2025).聽

2. Energy-Efficient Data Collection in Robotic Sensor Networks鈥痆]聽Christopher Beauchamp, Soham Patil, Bin Tang聽Proceedings of the Fifth Computer Science Conference for CSU Undergraduates (CSCSU 2025).聽(Best Paper Runner-Up Award)聽

3. Budget-Constrained Traveling Salesman Problem: a Cooperative Multi-Agent Reinforcement Learning Approach鈥痆]聽King To Mak, Christopher Gonzalez, Zari Magnaye, Jessica Gonzalez, Yutian Chen, Bin Tang聽Proceedings of the IEEE International Conference on Sensing, Communication, and Networking (SECON 2024).聽

4. Revisiting Data Collection in Robotic Sensor Networks: A Budget-Constrained Traveling Salesman Perspective鈥痆]聽Soham Patil, Yutian Chen, and Bin Tang聽Proceedings of the IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2024).聽

5. AggVNF: Aggregate VNF Allocation and Migration in Dynamic Cloud Data Centers鈥痆]聽Christopher Gonzalez, Bin Tang聽Proceedings of the 2024 IEEE 10th International Conference on Network Softwarization (NetSoft 2024).聽

6. Budget-Constrained Traveling Salesman Problem: a Multi-Agent Reinforcement Learning Approach鈥痆]聽Zari Magnaye, Jessica Gonzalez, Aaron Na Jee Malone, Yutian Chen, Bin Tang聽Proceedings of the Fourth Computer Science Conference for CSU Undergraduates (CSCSU 2024).聽

7. SAM: Maximizing Service Function Chain Availability in Cloud Data Centers鈥痆]聽Abraham Sterling, Bin Tang, and Deng Pan聽Proceedings of the IEEE Global Communications Conference (GLOBECOM 2023).聽

8. On the Performance of Nash Equilibria for Data Preservation in Base Station-less Sensor Networks鈥痆]聽Giovanni Rivera, Yutian Chen, and Bin Tang聽Proceedings of the IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2023).聽

9. Data-VCG: A Data Preservation Game for Base Station-less Sensor Networks with Performance Guarantee鈥痆]聽Jennifer Ly,Yutian Chen, and Bin Tang聽Proceedings of the 3rd International Workshop on Time-Sensitive and Deterministic Networking (TENSOR), IFIP Networking 2023.聽

10. Prize-Collecting Traveling Salesman Problem: a Reinforcement Learning Approach鈥痆]聽Justin Ruiz, Christopher Gonzalez,Yutian Chen, and Bin Tang聽Proceedings of the IEEE International Conference on Communications (ICC 2023).聽

11. Nash Equilibria of Data Preservation in Base Station-less Sensor Networks鈥痆]聽Giovanni Rivera, Yutian Chen, and Bin Tang聽Proceedings of the Third Computer Science Conference for CSU Undergraduates (CSCSU 2023).聽

12. Prize-Collecting Traveling Salesman Problem: a Reinforcement Learning Approach鈥痆]聽Justin Ruiz, Christopher Gonzalez,Yutian Chen, and Bin Tang聽Proceedings of the Third Computer Science Conference for CSU Undergraduates (CSCSU 2023).聽

猸� Dr. Benyamin Ahmadnia:

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Journal Publications:

1. Benyamin Ahmadnia, Yeswanth Soma, Marsa Rayani, Sahar Hooshmand. 鈥淟everaging Large Language Models for Superior Low-Resource Neural Machine Translation鈥�. 6th IEEE Conference on Machine Learning and Natural Language Processing (IEEE MNLP 2025).聽聽

2. Benyamin Ahmadnia, Yeswanth Soma, Hossein Sarrafzadeh. 鈥淢ultilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English鈥揊rench and Finnish Translation鈥�. 15th International Conference on Recent Advances in Natural Language Processing (RANLP 2025) - Varna, Bulgaria.聽

3. Benyamin Ahmadnia, Sumaiya Sheikh, Shazan Mohammed, Bibek Poudel, Sahar Hooshmand. 鈥淎dvancing Clinical Translation in Nepali with Fine-Tuned Multilingual Models鈥�. 15th International Conference on Recent Advances in Natural Language Processing (RANLP 2025) - Varna, Bulgaria.聽

4. Anjana Krishnamoorthy, Kartik Ivaturi, Benyamin Ahmadnia. 鈥淢ulti-Agent Reinforcement Learning for Interactive Code Debugging with Human Feedback and Memory鈥�. 15th International Conference on Recent Advances in Natural Language Processing (RANLP 2025) - Varna, Bulgaria.聽

5. Lucas Norpchen, Omar Garcia, Koby Winkler, Jose Temblador, Benyamin Ahmadnia. 鈥淎 Lightweight Machine Learning Pipeline for Crypto Forecasting: A Capstone Case Study in Software Engineering Education鈥�. 1st International Conference on Software Engineering of Emerging Technologies (SEET 2025) - Long Beach, USA.聽