Tuan Dinh*, Yuchen Zeng *, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee (2022). "LIFT: Language-Interfaced FineTuning for Non-Language Machine Learning Tasks". arXiv.

  • Delivered a talk at Institute for Foundation of Data Science (IFDS) brown-bag, University of Wisconsin-Madison

  • Yuchen Zeng , Ozgur Guldogan, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee (2022). "Equal Improvability: A New Framework for Promoting Social Fairness". Under review.

  • Delivered a talk at Institute for Foundation of Data Science (IFDS) brown-bag, University of Wisconsin-Madison

  • Delivered a Ligtening talk at Institute for Foundation of Data Science (IFDS), University of Wisconsin-Madison

  • Yuchen Zeng , Hongxu Chen, Kangwook Lee (2021). "Improving fairness via federated learning". arXiv.

  • This work is accepted by MLSys 2022 Workshop

  • Poster at MLWiNS workshop poster session, Online

  • This work is selected as Oral Presentation at AAAI 2022 Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction

  • Delivered a talk at Institure for Foundation of Data Science (IFDS) Ethics & Algorithms, Online

  • Delivered a talk at Institute for Foundation of Data Science (IFDS) brown-bag, University of Wisconsin-Madison

  • Poster at Institute of Foundation of Data Science (IFDS) Summer school 2021 poster session, University of Wisconsin-Madison

  • Miaoyan Wang, Yuchen Zeng (2019). "Multiway clustering via tensor block models". Advances inNeural Information Processing Systems 32 (NeurIPS 2019).

  • Poster at Neural Information Processing Systems (NeurIPS), Vancouver

  • Miaoyan Wang, Yuchen Zeng (2019). R package tensorsparse: Multiway clustering via tensor block models. Published on The Comprehensive R Archive Network。