Updates

[Sep, 18, 2025] Our papers Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data and Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares have been accepted to NeurIPS 2025 !

[Aug, 29, 2025] I officially joined INS and SMS at Shanghai Jiao Tong University!

[Jul, 16, 2025] Our paper Understanding Incremental Learning with Closed-form Solution to Gradient Flow on Overparamerterized Matrix Factorization is accepted to CDC 2025 !

[Jun, 25, 2025] Our paper Voyaging into Unbounded Dynamic Scenes from a Single View is accepted to ICCV 2025 !

[May, 01, 2025] Our paper Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs is accepted to ICML 2025 ! See you in Vancouver!

[Apr, 18, 2025] Our paper A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models is accepted to TMLR !

[Feb, 26, 2025] Our paper Concept Lancet: Decomposing and Transplanting Representations for Diffusion-Based Image Editing is accepted to CVPR 2025 !

[Jan, 22, 2025] Our paper Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization is accepted to AISTATS 2025 !

[Oct, 25, 2024] Our paper A Frequency Domain Analysis of Slow Coherency in Networked Systems is accepted to Automatica !

[May, 01, 2024] Our paper Can Implicit Bias Imply Adversarial Robustness? is accepted to ICML 2024 !

[Jan, 30, 2024] Our paper Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation is accepted to PSCC 2024 !

[Jan, 16, 2024] Our paper Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization is accepted to ICLR 2024 !

[Nov, 16, 2023] I gave a talk on Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization at the DeepMath Conference 2023 at Johns Hopkins University.

[Sep, 30, 2023] I attended the 2022 Mathematical and Scientific Foundations of Deep Learning Annual Meeting in New York City.

[Jul, 24, 2023] I attended ICML2023 at Honolulu, Hawaii.

[Jul, 21, 2023] I defended my Ph.D. Thesis.

[Jun, 16, 2023] I attended L4DC2023 at Penn.

[Jun, 01, 2023] I gave a presentation Spectral clustering and model reduction for weakly-connected coherent network systems at the 2023 American Control Conference.

[Apr, 25, 2023] Our paper On the Convergence of Gradient Flow on Multi-layer Linear Models is accepted to ICML 2023 !

[Mar, 15, 2023] Our paper Learning Coherent Clusters in Weakly-Connected Network Systems is accepted to L4DC 2023 !

[Jan, 30, 2023] Our paper Linear convergence of gradient descent for overparametrized finite width two-layer linear networks with general initialization is accepted to AISTATS 2023 !

[Jan, 20, 2023] I gave a talk Learning coherent clusters for modeling and analysis of power system dynamics at ROSEI Summit for Sustainable Energy Research at Johns Hopkins University.

[Jan, 07, 2023] Our paper Spectral clustering and model reduction for weakly-connected coherent network systems is accepted to ACC 2023 !

[Jan, 07, 2023] Our paper Learning to act safely with limited exposure and almost sure certainty is accepted to TAC !

[Sep, 30, 2022] I attended the 2022 Mathematical and Scientific Foundations of Deep Learning Annual Meeting in New York City.

[Jun, 30, 2022] I gave a talk on Convergence of overparametrized networks at the RSRG Seminar at the California Institute of Technology.

[Jun, 20, 2022] I attended the 4th Learning for Dynamics and Control Conference in Palo Alto, CA.

[Jun, 10, 2022] I gave a talk on Convergence of overparametrized networks at the semiautonomous seminar, University of Berkeley.

[Mar, 30, 2022] I gave a talk on Convergence of overparametrized networks during Spring 2022 MINDS Retreat.

[Mar, 07, 2022] Our paper Reinforcement learning with almost sure constraints is accepted to L4DC 2022

[Jan, 12, 2022] I gave a talk on convergence of overparametrized networks during 2022 TRIPODS Winter School & Workshop on Interplay between Artificial Intelligence and Dynamical Systems.

[Sep, 30, 2021] I attended the 2021 Mathematical and Scientific Foundations of Deep Learning Annual Meeting in New York City.

[Sep, 12, 2021] I gave a virtual presentation On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks during the 2021 THEORINET Retreat.

[Aug, 15, 2021] I passed the GBO Exam at ECE department at Hopkins.

[Jul, 12, 2021] I gave a virtual presentation On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks at the 2021 International Conference on Machine Learning.

[May, 12, 2021] I gave a virtual presentation Accurate Reduced-Order Models for Coherent Heterogeneous Generators at the 2021 American Control Conference.

[May, 07, 2021] Our paper On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks accepted to ICML 2021 !

[Jan, 15, 2021] I received MINDS Spring Fellowship 2021.

[Nov, 07, 2020] Our paper Accurate Reduced-Order Models for Coherent Heterogeneous Generators accepted to LCSS/ACC 2021 !

[Dec, 06, 2019] I gave a presentation Dynamics Concentration in Tightly-connected Networks at 2019 Conference on Decision and Control, Nice, France.

[Nov, 15, 2019] I received MINDS Spring Fellowship 2020.

[Jun, 07, 2019] Our paper Dynamics Concentration in Tightly-connected Networks is accepted to CDC 2019 .

[Feb, 01, 2019] I passed the departmental qualifying exam at ECE at Hopkins.