Lu Cheng, Assistant Professor

Lu Cheng, Assistant Professor

Department of Computer Science, UIC

  • A Mini-Tutorial on Responsible and Trustworthy Generative Foundation Models, NSF SkAI Institute, 2025 Dec.
  • From Probabilities to Possibilities: Uncertainty and Creativity in Foundation Models, LUC, 2025 Dec.
  • Conformal Methods for Reliable and Fair Machine Learning, IDEAL Graph Representation Learning Workshop, 2024 May.
  • Algorithmic Fairness in an Uncertain World, AAAI, 2024 Feb.
  • Algorithmic Fairness in an Uncertain World, Case Western Reserve University, 2023 Oct.
  • Applied Causal Inference with Surrogate Representations, LMU Munich, 2023 July.
  • Algorithmic Fairness in an Uncertain World, Midwest Machine Learning Symposium, 2023 May.
  • Causal Inference with Surrogate Representations in Practice, AGI Group@CMU, 2023 April.
  • Sequential Bias Mitigation and the Need for Causal Fairness, BIHE Monthly Seminar UIC, 2022 Oct.
  • Sequential Bias Mitigation and the Need for Causal Fairness, Seminar at Center for CBQB UIC, 2022 Oct.
  • A Glance at Algorithmic Intersectionality, MLNLP, 2022 Sept.
  • Advancing Cyberbullying Detection with Psychological Insights and Complex Media Data, AI For Mankind 2022
  • Causal Understanding of Fake News Dissemination on Social Media, Tsinghua University AI TIME 2021
  • Combating Cyberbullying and Disinformation on Social Media: The Roles of Socially Responsible AI, PhD Research Talk at IJCAI MAISoN 2021
  • Socially Responsible AI Algorithms: Issues, Purposes, and Challenges, NSF REU Program at University of North Texas 2021