Continual learning and its industrial applications: A selective review - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Sathvik Murli; Laura J. Freeman; Edward Bowen; Xinwei Deng (WIREs Data. Mining. Knowl. Discov., 2024)

Data Composition for Continual Learning in Application of Cyberattack Detection - Jiayi Lian; Xueying Liu; Kevin Choi; Balaji Veeramani; Sathvik Murli; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, Proceedings, Part IV, 2024)

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs - Haohui Wang; Yuzhen Mao; Yujun Yan; Yaoqing Yang; Jianhui Sun; Kevin Choi; Balaji Veeramani; Alison Hu; Edward Bowen; Tyler Cody; Dawei Zhou (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning - Sayyed Farid Ahamed; Soumya Banerjee; Sandip Roy; Devin Quinn; Marc Vucovich; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (CoRR, 2024)

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (CoRR, 2022)

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences - Anna Kawakami; Luke Guerdan; Yang Cheng; Anita Sun; Alison Hu; Kate Glazko; Nikos Aréchiga; Matthew L. Lee; Scott A. Carter; Haiyi Zhu; Kenneth Holstein (CoRR, 2022)