Publications

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

1. 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%

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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