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Dr. Yunhe Feng

Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Yunhe.Feng@unt.edu

Education

  • PhD, University of Tennessee, 2020
    Major: Computer Science
    Dissertation: Mobile Location Data Analytics, Privacy, and Security

Professional Memberships

  • Association for Computing Machinery (ACM). (June 2021 - Present).
  • Institute of Electrical and Electronics Engineers (IEEE). (May 2018 - Present).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 4950 - Special Problems in Computer Science and Engineering, 2 courses.
  • CSCE 4999 - Senior Thesis, 2 courses.
  • CSCE 5300 - Introduction to Big Data and Data Science, 6 courses.
  • CSCE 5934 - Directed Study, 2 courses.
  • CSCE 5950 - Master's Thesis, 3 courses.
  • CSCE 6940 - Individual Research, 4 courses.

Directed Student Learning

  • Doctoral Advisory Committee Member, Information Science. (November 2023).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (October 2023).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (October 2023).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (August 2023).
  • Doctoral Advisory Committee Member, Accounting. (August 2023).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (February 2023).
  • Doctoral Advisory Committee Member, "Context-aware events testing on mobile devices," Computer Science and Engineering. (December 1, 2022 - December 1, 2025).
  • Doctoral Advisory Committee Member, "Advanced Predictive Analytics for Smartphone Context Events Using Machine Learning and Data Mining Techniques for Enhancing Application Testin and Battery Efficiency," Computer Science and Engineering. (October 2023 - May 2025).
  • Master's Thesis Committee Chair, Computer Science and Engineering. (January 1, 2024 - December 20, 2024).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (December 2023 - December 2023).
  • Doctoral Comprehensive Exam Member or Grader, Computer Science and Engineering. (December 2023 - December 2023).
  • Doctoral Comprehensive Exam Member or Grader, "Competition-based Training for Software Vulnerabilities," Computer Science and Engineering. (December 10, 2023 - December 2023).
  • Directed Individual/Independent Study, Computer Science and Engineering. (2023 - 2023).
  • Directed Individual/Independent Study, Computer Science and Engineering. (2023 - 2023).
  • Doctoral Comprehensive Exam Member or Grader, "Exploring the cryptographic security of the RLWE problem - On Ideal Lattices and Learning with Errors over Rings," Computer Science and Engineering. (January 25, 2023 - January 25, 2023).

Awards and Honors

  • Inaugural Dallas Innovates AI 75 List, Dallas Innovates, the Dallas Regional Chamber, and Dallas AI. (May 2, 2025).
  • Best Track Paper Award, IEEE COMPSAC. (June 2023).
  • 2023 IEEE Smart Computing Special Technical Community (SCSTC) Early Career Award, IEEE. (December 1, 2023).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Liu, X., Feng, Y., Hu, S., Yuan, X., Fan, H. (2024). Benchmarking the Robustness of UAV Tracking Against Common Corruptions. 2024 IEEE 7th IEEE International Conference on Multimedia Information Processing and Retrieval.
  • Song, S., Huang, Y., Jiang, P., Yu, X., Zheng, W., Di, S., Cao, Q., Feng, Y., Xie, Z., Cappello, F. (2024). CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. 309--321.
  • Cao, G., Wang, Z., Feng, Y., Dong, X. (2024). DAAP: Privacy-Preserving Model Accuracy Estimation on Unlabeled Datasets Through Distribution-Aware Adversarial Perturbation. USENIX Security.
  • Aljedaani, W., Habib, A., Aljohani, A., Eler, M., Feng, Y. (2024). Does ChatGPT Generate Accessible Code? Investigating Accessibility Challenges in LLM-Generated Source Code. Proceedings of the 21st International Web for All Conference. 165--176.
  • Dong, S., Feng, Y., Yang, Q., Huang, Y., Liu, D., Fan, H. (2024). Efficient multimodal semantic segmentation via dual-prompt learning. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 14196--14203.
  • Ahadian, P., Kosko, K., Feng, Y., Ferdig, R., Guan, Q. (2024). FractionNet: AI-Driven Insights in Transforming Handwritten Fraction Detection for Teacher Education. Society for Information Technology \& Teacher Education International Conference. 1727--1732.
  • Ahadian, P., Feng, Y., Kosko, K., Ferdig, R., Guan, Q. (2024). MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis. Proceedings of the 2024 ACM Southeast Conference. 284--290.
  • Clemmer, C., Ding, J., Feng, Y. (2024). PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
  • Shaik, K., Wang, D., Zheng, W., Cao, Q., Fan, H., Schwartz, P., Feng, Y. (2024). S3LLM: Large-S cale S cientific S oftware Understanding with LLMs Using Source, Metadata, and Document. International Conference on Computational Science. 222--230.
  • Arbaz, A., Fan, H., Ding, J., Qiu, M., Feng, Y. (2024). GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024).
  • Feng, Y., Meng, Z., Clemmer, C., Fan, H., Huang, Y. (2023). A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing. ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL).
  • Dammu, P., Feng, Y., Shah, C. (2023). Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. International Joint Conference on Artificial Intelligence (IJCAI).
  • Feng, Y., Meng, Z., Clemmer, C., Fan, H., Huang, Y. (2023). Data and Resources Paper: A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing. Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. 1--4.
  • Zhang, B., Tian, J., Di, S., Yu, X., Feng, Y., Liang, X., Tao, D., Cappello, F. (2023). FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. The 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023)..
  • Feng, Y., Vanam, S., Cherukupally, M., Zheng, W., Qiu, M., Chen, H. (2023). Investigating Code Generation Performance of Chat-GPT with Crowdsourcing Social Data. Proceedings of the 47th IEEE Computer Software and Applications Conference. 1--10.
  • Cao, C.Q., Feng, Y. (2023). Probabilistic Error Reasoning on IoT Edge Devices. 2023 IEEE International Conference on Edge Computing and Communications (EDGE). 140--149.
  • Feng, Y., Poralla, P., Dash, S., Li, K., Desai, V., Qiu, M. (2023). The Impact of ChatGPT on Streaming Media: A Crowdsourced and Data-Driven Analysis using Twitter and Reddit. International Conference on Intelligent Data and Security (IDS).
  • Zhang, L., Wang, Z., Dong, X., Feng, Y., Pang, X., Zhang, Z., Kui, R. (2023). Towards Fairness-aware Adversarial Network Pruning. 2023 International Conference on Computer Vision (ICCV).
  • Wang, Z., Yang, H., Feng, Y., Sun, P., Guo, H., Zhang, Z., Ren, K., Scientific, Z.G., Center, T.I. (2023). Towards Transferable Targeted Adversarial Examples. In Conference on Computer Vision and Pattern (CVPR).
  • Feng, Y., Guo, C., Wen, B., Sun, P., Yue, Y., Tao, D. (2022). EmojiCloud: a Tool for Emoji Cloud Visualization. The 5th International Workshop on Emoji Understanding and Applications in Social Media at 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (EMOJI@NAACL).
  • Wen, B., Feng, Y., Zhang, Y., Shah, C. (2022). ExpScore: Learning Metrics for Recommendation Explanation. Proceedings of the ACM Web Conference 2022. 3740--3744.
  • Feng, Y., Shah, C. (2022). Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. Proceedings of the AAAI conference on artificial intelligence (AAAI).
  • Feng, Y., Zhong, D., Sun, P., Zheng, W., Cao, Q., Luo, X., Lu, Z. (2021). Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. ICC 2021-IEEE International Conference on Communications. 1--6.
  • Tian, J., Di, S., Yu, X., Rivera, C., Zhao, K., Jin, S., Feng, Y., Liang, X., Tao, D., Cappello, F. (2021). Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. 2021 IEEE International Conference on Cluster Computing (CLUSTER). 283--293.
  • Feng, Y., Saelid, D., Li, K., Gao, R., Shah, C. (2021). Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. International Workshop on Algorithmic Bias in Search and Recommendation. 1--8.
  • Sun, P., Wang, Z., Feng, Y., Wu, L., Li, Y., Qi, H., Wang, Z. (2020). Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering. International Conference on Computer Communications (INFOCOM).
  • Feng, Y., Lu, Z., Zheng, Z., Sun, P., Zhou, W., Huang, R., Cao, Q. (2019). Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics in Once-in-a-lifetime Events. 2019 IEEE Global Communications Conference (GLOBECOM).
  • Feng, Y., Zhou, W., Lu, Z., Wang, Z., Cao, Q. (2019). The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets. The World Wide Web Conference. 2722--2728.
  • Lu, Z., Feng, Y., Cao, Q. (2019). Two-Level Index for Truss Community Query in Large-Scale Graphs. 2019 IEEE Global Communications Conference (GLOBECOM). 1--6.
  • Feng, Y., Lu, Z., Cao, Q. (2018). Secure Sharing of Private Locations through Homomorphic Bloom Filters. 2018 IEEE 4th International Conference on Big Data Security on Cloud. 107--113.
  • Lu, Z., Feng, Y., Cao, Q. (2017). Decentralized Search for Shortest Path Approximation in Large-scale Complex Networks. 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). 130--137.

    • Journal Article

  • Yang, H., Kumar Reddy Kandula, Arun, Phamornratanakun, T., Huerta Gomez, A., El-Mokahal, M., Ma, Z., Feng, Y. (2024). Abstract We016: Generative Artificial Intelligence for hPSC-derived Cardiac Organoid Florescence Generation. Circulation Research. 135 (Suppl\_1) AWe016--AWe016. Lippincott Williams \& Wilkins Hagerstown, MD.
  • Liu, X., Feng, Y., Hu, S., Yuan, X., Fan, H. (2024). Benchmarking the Robustness of UAV Tracking Against Common Corruptions. Other.
  • Anjum, S., Zhang, H., Zhou, W., Paek, E.J., Zhao, X., Feng, Y. (2024). HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making. Other.
  • Zhao, H., Chen, H., Ruggles, T.A., Feng, Y., Singh, D., Yoon, H. (2024). Improving Text Classification with Large Language Model-Based Data Augmentation. Other. 13 (13) 2535. MDPI.
  • Dong, S., Feng, Y., Yang, Q., Lin, Y., Fan, H. (2024). LoReTrack: Efficient and Accurate Low-Resolution Transformer Tracking. Other.
  • Xu, H., Zhang, W., Wang, Z., Xiao, F., Zheng, R., Feng, Y., Ba, Z., Ren, K. (2024). RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent. Other.
  • Jahan, R.I., Fan, H., Chen, H., Feng, Y. (2024). Unlocking Cross-Lingual Sentiment Analysis through Emoji Interpretation: A Multimodal Generative AI Approach. Other.
  • Kandula AKR, Phamornratanakun, T., Gomez, A.H., El-Mokahal, M., Ma, Z., Feng, Y., Yang, H. (2024). Generative AI for Cell Type-Specific Fluorescence Image Generation of hPSC-derived Cardiac Organoid.. Other.
  • Medisetti, G., Compson, Z.G., Fan, H., Yang, H., Feng, Y. (2024). LitAI: Enhancing Multimodal Literature Understanding and Mining with Generative AI.. Other. 2024 471-476.
  • Wang, Z., Zhang, H., Chen, H., Feng, Y., Ding, J. (2024). Content-based Quality Evaluation of Scientific Papers using Coarse Feature and Knowledge Entity Network. Journal of King Saud University - Computer and Information Sciences.
  • Cao, G., Wang, Z., Feng, Y., Dong, X., Zhang, Z., Qin, Z., Ren, K. (2023). Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models. Other. Institute of Electrical and Electronics Engineers.
  • Wen, B., Feng, Y., Zhang, Y., Shah, C. (2022). Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. Other.
  • Feng, Y., Shah, C. (2022). Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Other. 59 (2) 102811. Elsevier.
  • Feng, Y., Zhou, W. (2022). Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19). Other. 59 (2) 102820. Elsevier.
  • Jin, S., Zhang, C., Jiang, X., Feng, Y., Guan, H., Li, G., Song, S.L., Tao, D. (2021). COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Other.
  • Feng, Y., Zhou, W. (2021). Seed Stocking Via Multi-Task Learning. Other.
  • Feng, Y., Niu, H., Wang, F., Ivey, S.J., Wu, J.J., Qi, H., Almeida, R.A., Eda, S., Cao, Q. (2021). SocialCattle: IoT-based mastitis detection and control through social cattle behavior sensing in smart farms. Other. 9 (12) 10130--10138. IEEE.
  • Feng, Y., Lu, Z., Zhou, W., Wang, Z., Cao, Q. (2020). New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them. Other. 3 (2) 1--25. ACM New York, NY, USA.
  • Feng, Y., CAO, Q., QI, H., RUOTI, S. (2020). SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors. Other. 4 (2) ACM.
  • Feng, Y., Saelid, D., Li, K., Gao, R., Shah, C. (2020). University of Washington at TREC 2020 Fairness Ranking Track. Other.
  • Wang, Z., Li, Y., Jin, B., Wang, Q., Feng, Y., Li, Y., Shao, H. (2019). AirMouse: Turning a Pair of Glasses Into a Mouse in the Air. Other. 6 (5) 7473--7483. IEEE.
  • Feng, Y., Chen, Z., Wang, D., Chen, J., Feng, Z. (2019). DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images. Other. 16 (1) 465--474. IEEE.
  • Sun, P., Wu, L., Wang, Z., Feng, Y., Wang, Z. (2019). SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT. Other.
  • Feng, Y., Lu, Z., Zhou, W., Cao, Q., Li, X. (2018). A multi-granularity perspective for spatial profiling of mobile apps. Information Sciences. 430 127--141. Elsevier.
  • Wan, L., Wang, Z., Lu, Z., Feng, Y., Qi, H., Zhou, W., Cao, Q. (2018). Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. IEEE Transactions on Vehicular Technology. 67 (2) 1561--1569. IEEE.
  • Lu, Z., Feng, Y., Zhou, W., Li, X., Cao, Q. (2018). Inferring correlation between user mobility and app usage in massive coarse-grained data traces. Other. 1 (4) 1--21. ACM.
  • Cao, Q., Feng, Y., Lu, Z., Qi, H., Tolbert, L.M., Wan, L., Wang, Z., Zhou, W. (2017). Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments. Other. 66 52--63. Elsevier.

    • Other

  • Ding, J., Chen, H., Feng, Y., Hossain, T. (2024). Applications of Deep Learning Techniques. Other. 13 (17) 3354. MDPI.

    • Technical Report

  • Kuruganti, T., Omitaomu, O., Ozmen, O., Pullum, L., Klasky, H., Martin, M., Olama, M.M., Karthik, R., Watson, G.R., Smith, R.W., others. (2019). Real-Time Automated Health Information Technology Hazard Detection. Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States).

Presentations Given

    Invited Talk

  • Feng, Y. (Presenter), 2023 NSF HDR Ecosystem Conference, Ethical Concerns and Issues in Generative AI, NSF, United States of America. (2023).
  • Feng, Y. (Presenter), UNT Data Science Day, Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data, UNT, United States of America. (2023).
  • Feng, Y. (Panelist), UNT Data Science Day, The Real-World Impact of Ethics on AI, UNT, United States of America. (2023).
  • Feng, Y. (Presenter), Lecture Series co-organized by the Texas A&M Center for Housing & Urban Development and the Institute of Data Science, Responsible Social Computing for Smart City, Texas A&M University, United States of America. (2022 - 2022).
  • Feng, Y. (Presenter), Luddy School of Informatics, Computing, and Engineering Seminar, Towards a More Responsible World: When Artificial Intelligence, Open Data, and Usable Security Meet Each Other, Indiana University Bloomington, Bloomington, IN, United States of America. (2022 - 2022).
  • Feng, Y. (Presenter), Brown Bag meetings, The Two Faces of Social Media in Big Data Analytics, Mining, and Modeling, Department of Information Science, UNT, Department of Information Science, UNT, United States of America. (2022 - 2022).

    • Lecture

  • Feng, Y. (Presenter), Guest Lecturer for ME 686 Human Robot Interaction, Large Language Models (LLMs): History, Supervised Fine Tuning, Hallucination, and Robotics Application, University of Tennessee, United States of America. (2023).
  • Feng, Y. (Presenter), CS 458/658 - Introduction to Data Mining, The Two Faces of Social Media in Big Data Analytics and Mining, University of Nevada, Las Vegas, University of Nevada, Las Vegas, United States of America. (2022 - 2022).

    • Oral Presentation

  • Feng, Y. (Presenter), 2022 NSF Cybersecurity Summit, Privacy Leakage on Social Media Screenshot, Trusted CI, the NSF Cybersecurity Center of Excellence, Bloomington, IN, United States of America. (2022 - 2022).

    • Panel Presentation

  • Ji, Y. (Coordinator/Organizer), Tunc, C. (Panelist), Qiu, C. (Panelist), Feng, Y. (Panelist), Texas CSTA Chapters Conference 2023, Recent Advances in Security and Privacy, United States of America. (2023 - 2023).

Media Contributions

    Magazine

  • "AI in the Classroom," UNT Research Magazine. (April 16, 2024).
  • "Innovation Fueled by AI," UNT Research Magazine. (April 16, 2024).

Contracts, Grants, Sponsored Research

    Grant - Research

  • Feng, Y. (Other), Yang, H. (Principal), "Assessing Tyrosine Kinase Inhibitors-induced Cardiotoxicity with an Organoid-AI System," sponsored by NIH, Federal, $547020 Funded. (2024).
  • Feng, Y. (Principal), "Machine Learning for Autonomous Weld Quality Monitoring," sponsored by Oak Ridge National Lab - DOE, University of North Texas, $15000 Funded. (2024).
  • Feng, Y. (Principal), Compson, Z.G. (Co-Principal), "MINE: Models for Improved Natural-language Exploration—applications for rapid expansion of trait databases for food web modeling," sponsored by UNT CENG-COS, University of North Texas, $10000 Funded. (2023).
  • Feng, Y. (Principal), "PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases," sponsored by Microsoft, University of North Texas, $20000 Funded. (2023).
  • Feng, Y. (Principal), "RAG-PreciseDebias: Mitigating Demographic Bias in Image Generation through Automatic Retrieval Augmented Prompt Engineering," sponsored by Microsoft, University of North Texas, $20000 Funded. (2023).

    • Sponsored Research

  • Feng, Y. (Principal), "Accessing Social Impacts of Emerging Deep Generative Models through Public Big Data," sponsored by HPC AI and Big Data Group at Pittsburgh Supercomputing Center, Local, $3000 Funded. (2022 - 2023).

Copyrights, Patents

    Patent

  • Yang, H., Feng, Y., Kandula, A.K., Generative AI for Cardiac Organoid Image Colorization, 63/618,181. Provisional, Date submitted to the University: 2023. Date of Patent Application: 2023. .

Service

University Service

  • Committee Member, Faculty Search Committee. (2024 - Present).
  • Co-Director, Master's Program in AI. (September 1, 2023 - December 31, 2023).
  • Committee Member, PhD Admission Committee. (January 1, 2023 - December 31, 2023).
  • Other (DEEN Faculty Fellow), UNT Diversity and Excellence in Engineering Network (UNT-DEEN). (January 2023 - December 2023).
  • Committee Member, PhD Admission Committee. (September 15, 2022 - December 31, 2022).

Professional Service

  • Other (ALRISE Faculty), NSF-funded Accelerate Latinx Representation in STEM Education (ALRISE) Alliance. (December 2023 - Present).
  • Other (One the four faculty representing UNT, led by Dr. Benjamin Brand, Director of Future Ventures for UNT’s Division of Digital Strategy and Innovation), Ithaka S+R - Making AI Generative for Higher Education. (September 2023 - Present).
  • Editor, Associate Editor, ASIS&T Information Matters (IM). (September 1, 2022 - September 1, 2024).
  • Committee Member, IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS). (October 2023 - December 2023).
  • Committee Member, 2024 AAAI Undergraduate Consortium (AAAI-UC). (September 2023 - December 2023).
  • Reviewer, Conference Paper, The Web Conference (WWW). (September 2023 - December 2023).
  • Other (Program Chair), 8th International Conference on Smart Computing and Communication (SmartCom 2023). (August 2023 - December 2023).
  • Reviewer, Conference Paper, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). (August 2023 - December 2023).
  • Editor, Guest Editor, Special Issue "Applications of Deep Learning Techniques" in Electronics. (August 2023 - December 2023).
  • Reviewer, Conference Paper, 17th International AAAI Conference on Web and Social Media (ICWSM). (July 2023 - December 2023).
  • Committee Member, 32nd ACM Int. Conf. on Information and Knowledge Management (CIKM 2023). (January 2023 - December 2023).
  • Committee Member, AAAI Conference on Artificial Intelligence (AAAI). (January 2023 - December 2023).
  • Other (CITI Training Course Reviewer), Artificial Intelligence training content for CITI Program. (January 2023 - December 2023).
  • Other (CAHSI Faculty), Computing Alliance of Hispanic-Serving Institutions (CAHSI). (January 2023 - December 2023).
  • Committee Member, Conf. on Empirical Methods in Natural Language Processing (EMNLP) Industry Track. (January 2023 - December 2023).
  • Reviewer, Journal Article, Information Processing & Management (IP&M). (January 2023 - December 2023).
  • Reviewer, Journal Article, International Journal of Human-Computer Interaction (IJHCI). (January 2023 - December 2023).
  • Other (Panel Reviewer), NSF Grant - 1. (January 2023 - December 2023).
  • Other (Panel Reviewer), NSF Grant - 2. (January 2023 - December 2023).
  • Reviewer, Ad Hoc Reviewer, NSF Grant - 3. (January 2023 - December 2023).
  • Other (Web Chair), The 8th IEEE International Conference on Smart Cloud (IEEE SmartCloud - 2023). (December 10, 2022 - September 18, 2023).
  • Committee Member, First International Conference on AI-generated Content (AIGC 2023). (June 1, 2023 - August 26, 2023).
  • Committee Member, 2023 IEEE Global Communications Conference (GLOBECOM 2023). (January 2023 - June 2023).
  • Reviewer, Conference Paper, 61st AnnualMeeting of the Association for Computational Linguistics (ACL). (January 2023 - June 2023).
  • Reviewer, Conference Paper, Empirical Methods in Natural Language Processing (EMNLP). (January 2023 - June 2023).
  • Committee Member, International Symposium on Emerging Information Security and Applications (EISA). (January 2023 - June 2023).
  • Reviewer, Journal Article, IEEE Network Magazine. (January 2023 - May 2023).
  • Reviewer, Journal Article, Information Sciences. (January 2023 - April 2023).
  • Committee Member, Usable Security and Privacy (USEC) Symposium 2023 at the Network and Distributed System Security (NDSS 2023). (January 1, 2023 - April 30, 2023).
  • Reviewer, Journal Article, IEEE Internet of Things Journal (IoT-J). (January 2023 - March 2023).
  • Reviewer, Journal Article, IEEE Transactions on Intelligent Transportation Systems (T-ITS). (January 2023 - March 2023).
  • Committee Member, The 6th International AAAI Conference on Web and Social Media (ICWSM 2022-23). (April 1, 2022 - January 31, 2023).
  • Committee Member, IEEE Global Communications Conference (IEEE GLOBECOM 2022). (August 1, 2022 - December 12, 2022).
  • Other (Program Committee (PC)), Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI - 2023). (September 1, 2022 - November 30, 2022).