Kewen Peng

Liu, J., Mei, Z., Peng, K., & Vatsavai, R. R. (2023). Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. 2023 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW 2023, pp. 1543–1550. https://doi.org/10.1109/ICDMW60847.2023.00196

Peng, K., Chakraborty, J., & Menzies, T. (2023). FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 2426–2439. https://doi.org/10.1109/TSE.2022.3220713

Peng, K., Kaltenecker, C., Siegmund, N., Apel, S., & Menzies, T. (2023). VEER: enhancing the interpretability of model-based optimizations. EMPIRICAL SOFTWARE ENGINEERING, 28(3). https://doi.org/10.1007/s10664-023-10296-w

Peng, K., & Menzies, T. (2021). Documenting Evidence of a Reuse of "'Why Should I Trust You?": Explaining the Predictions of Any Classifier'. PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1600–1600. https://doi.org/10.1145/3468264.3477217

Peng, K., & Menzies, T. (2021). Documenting Evidence of a Reuse of 'What is a Feature? A Qualitative Study of Features in Industrial Software Product Lines'. PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1599–1599. https://doi.org/10.1145/3468264.3477216

Ferraro, L., Kirkman, E., Moore, W. F., & Peng, K. (2021). ON THE NOETHER BOUND FOR NONCOMMUTATIVE RINGS. PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY, 149(7), 2711–2725. https://doi.org/10.1090/proc/15092

Chakraborty, J., Peng, K., & Menzies, T. (2020). Making Fair ML Software using Trustworthy Explanation. 2020 35TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2020), pp. 1229–1233. https://doi.org/10.1145/3324884.3418932