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See my Google Scholar for the full publication list.

* denotes equal contribution.

Books / monographs

• Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems

  L. Chen*, S.T. Jose*, I. Nikoloska*, S. Park*, T. Chen and O. Simeone

  Foundations and Trends in Signal Processing, 2023.

Journal papers

• Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance

  L. Chen*, H. Fernando*, Y. Ying, and T. Chen

  Journal of Machine Learning Research (JMLR), 2024.

Conference papers

• FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

  L. Chen, AFM. Saif, Y. Shen, and T. Chen

  Proc. of Neural Information Processing Systems (NeurIPS), 2024.

• M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization

  AFM. Saif, L. Chen, X. Cui, S. Lu, B. Kingsbury, and T. Chen

  Proc. of the Interspeech Conference (Interspeech), 2024.

• Variance Reduction Can Improve Trade-off in Multi-Objective Learning

  H. Fernando, L. Chen, S. Lu, PY. Chen, M. Liu, S. Chaudhury, K. Murugesan, G. Liu, M. Wang, and T. Chen

  Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

• Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance

  L. Chen*, H. Fernando*, Y. Ying, and T. Chen

  Proc. of Neural Information Processing Systems (NeurIPS), 2023.

• A Nested Ensemble Method to Bilevel Machine Learning

  L. Chen*, M. Abbas*, and T. Chen

  Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

• Understanding Benign Overfitting in Gradient-Based Meta Learning

  L. Chen, S. Lu, and T. Chen

  Proc. of Neural Information Processing Systems (NeurIPS), 2022.

• Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

  M. Abbas*, Q. Xiao*, L. Chen*, PY. Chen and T. Chen

  Proc. of the International Conference on Machine Learning (ICML), 2022.

• Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?

  L. Chen, and T. Chen

  Proc. of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

• Uncertain Graph Neural Networks for Facial Action Unit Detection

  T. Song, L. Chen, W. Zheng, and Q. Ji

  Proc. of the Assoc. for the Advanc. of Artificial Intelligence (AAAI), 2021.

• Deep Structured Prediction for Facial Landmark Detection

  L. Chen, H. Su, and Q. Ji

  Proc. of Neural Information Processing Systems (NeurIPS), 2019.

• Face Alignment with Kernel Density Deep Neural Network

  L. Chen, H. Su, and Q. Ji

  Proc. of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019.

• Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue

  R.R. Divekar, X. Mou, L. Chen, M.G.D. Bayser, M.A. Guerra, and H. Su

  Proc. of the International Joint Conference on Artificial Intelligence (IJCAI-demo), 2019.