Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Short description of portfolio item number 1
Short description of portfolio item number 2
publications
Chen, Y., Cheng, B. X., Cheng, X. "Food Safety Document Classification Using LSTM-based Ensemble Learning." Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, 39(10):172–178, 2016. Link
Cheng, X., Chen, Y., Cheng, B. X., et al. "An Emotion Cause Corpus for Chinese Microblogs with Multiple-user Structures." ACM Transactions on Asian and Low-Resource Language Information Processing, 17(1):1–19, 2017. Link
Chen, Y., Hou, W., Cheng, X., & Li, S. "Joint Learning for Emotion Classification and Emotion Cause Detection." In Proceedings of EMNLP, pp. 646–651, 2018. Acceptance Rate: 20.8% Link
Chen, Y., Hou, W., & Cheng, X. "Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs." In ICANN 2018, Part I, pp. 115–122. Springer, 2018. Link
Wang, S., Neupane, R., Pandey, A., Cheng, X., & Calyam, P. "Online Learning Platform for Application-Inspired Cloud and DevOps Curriculum." In Proceedings of IEEE HiPC Workshops, pp. 35–42, 2021. Link
Oruche, R., Milman, E. D., Cheng, X., Joish, M., Kulkarni, C., Sharma, A., Kee, K., Regunath, H., & Calyam, P. "Measurement of Utility in User Access of COVID-19 Literature via AI-powered Chatbot." In Proceedings of IEEE AIPR, pp. 1–13, 2021. Link
Oruche, R., Milman, E. D., Lemus Alarcon, M., Cheng, X., Pandey, A., Wang, S., Calyam, P., & Kee, K. "Science Gateway Adoption Using Plug-in Middleware for Evidence-Based Healthcare Data Management." Concurrency and Computation: Practice and Experience, e7195, 2022. Link
Shibo, B. W., Oruche, R., Goni, M. A., Cheng, X., Milman, E., Calyam, P., & Kee, K. "Sifting Through Clutter and Finding Answers that Utter Among COVID-19 Data for Medical Users via Gateways." 2023. Link
Neupane, K., Yeddulapalli, H. S., Kambhampati, A., Cheng, X., Neupane, R. L., Kung, E. L., Rinehart, A., & Calyam, P. "Automation of News Content Curation and Storytelling for Local Newsrooms." In Proceedings of IEEE HPCC/DSS/SmartCity/DependSys, pp. 1051–1060, 2023. Link
Cheng, X., Zhang, Y., Joshi, H., Kejriwal, M., & Calyam, P. "Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks." In Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 1–10, 2023. Link
Neupane, R. L., Calyam, P., Wang, S., Neupane, K., Pandey, A., Cheng, X., Gafurov, D., et al. "Online Self-Service Learning Platform for Application-Inspired Cloud Development and Operations (DevOps) Curriculum." IEEE Transactions on Learning Technologies, 2024. Impact Factor: 4.9 Link
Cheng, X., Edara, L. S., Zhang, Y., Kejriwal, M., & Calyam, P. "Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks." In Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 1–11, 2024. Acceptance Rate: 25% Link
Zhang, Y., Cheng, X., Oruche, R., Sivarathri, S. S., & Calyam, P. "ScholarFinder: Knowledge Embedding Based Recommendations Using a Deep Embedded Clustering Model." IEEE Transactions on Big Data, 2025. Impact Factor: 5.7 Link
Oruche, R., Goruganthu, S. K., Akula, R., Cheng, X., Md Goni, A., Shibo, B. W., Kee, K., Zampieri, M., & Calyam, P. "A Survey on the Recent Advancements in Human-Centered Dialog Systems." ACM Computing Surveys, 2025. Impact Factor: 28.0 Link
Oruche, R., Cheng, X., Zeng, Z., Vazzana, A., Goni, M. A., Shibo, B. W., Goruganthu, S. K., Kee, K., & Calyam, P. "Chatbot Dialog Design for Improved Human Performance in Domain Knowledge Discovery." IEEE Transactions on Human-Machine Systems, 2025. Impact Factor: 4.9 Link
Neupane, R.L., Pusapati, V., Edara, L.S., Cheng, X., Neupane, K., Chintapatla, H., Mitra, R., Korkali, M., Na, H.S., Srinivas, S. and Calyam, P., 2025, May. Securing Inverter-Based Resources via Knowledge-Driven Threat Modeling, Analysis, and Mitigation. In NOMS 2025-2025 IEEE Network Operations and Management Symposium (pp. 1-9). IEEE. Link
Cheng, X., Rayhan, M., Pandey A., Zhang Y., Kejriwal M., & Calyam P. "ScholarInfluencer: AI-driven Role-Aware Scholar Recommendations based on Temporal Graph Networks." Data Mining and Knowledge Discovery, 2026. Under Review. Impact Factor: 4.9
Cheng, X., Rayhan, M., Edara Lakshmi S., Pandey A., Zhang Y., Kejriwal M., & Calyam P. "Knowledge Graph-based Modeling for Identifying Scholar Teams in Academic Social Networks." IEEE Transactions on Artificial Intelligence, 2026. Under Review. Impact Factor: 6.4
Cheng, X., Roy, U., Pandey A., Chakraborty N., Chakraborty S., & Calyam, P. "Heterogeneous Hypergraph Attention Network for Scholar Recommendation and Team Formation." In 35th International ACM Conference on Knowledge and Information Management (CIKM 2026), pp. 1–11, 2026. Acceptance Rate: 27%
talks
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teaching
Teaching Assistant, Advanced Algorithm Design, 2023
Aug - Dec 2022, Jan - May 2023
Assisted Prof. Ries in teaching and grading a course on Advanced Algorithm Design (Fall 2022 and Spring 2023).
- Designed and taught lab lectures with 40+ undergraduate students.
- Responsible for developing and managing course materials, holding office hours, and submitting and approving grades.
Teaching Assistant, Cloud Computing, 2025
Jan - May 2022, Aug - Dec 2025
Assisted Prof. Prasad Calyam with teaching a course on Cloud Computing.
- Designed hands-on instruction labs that use public clouds (e.g., AWS, GCP) as well as open clouds (e.g., GENI, Chameleon, Nautilus, and CloudLab).
- Mentored and helped 80+ graduate and undergraduate students in class.
- Mean Course Evaluation Score: 4.7/5
Teaching Assistant, Computer Network, 2026
Aug - Dec 2023, Jan - May 2026
Assisted Dr. Micheal Jurczyk in teaching and grading a course on Computer Network.
- Mentored 80+ undergraduate students and graduate students.
- Responsible for lecturing, developing, and managing course materials, holding office hours, and submitting and approving grades.
Teaching Assistant, Algorithm Design and Programming I, 2026
Aug - Dec 2023, Aug - Dec 2026
Assisted Dr. Ufuktepe in teaching and grading a course on Algorithm Design and Programming I.
- Designed and taught lab lectures with 100+ undergraduate students.
- Responsible for developing and managing course materials, holding office hours, and submitting and approving grades.
- Designed and developed an AI-powered educational platform to enhance classroom learning experiences.