2026

• Nov. 2026, “Advances in Simulation-Based Optimization and Approximation Methods for Data Science” SIAM Conference on Mathematics of Data Science (MDS26), Salt Lake City, Utah, USA (Co-organized minisymposium)

• Nov. 2026, “Model-Based Derivative-Free Optimization Method” The INFORMS Annual Meeting 2026, November 1–4, 2026, San Francisco, CA

• Aug. 2026, “A New Hybrid Neural-Quadratic Model-Based Derivative-Free Optimization Method” Monterey Data Conference, Monterey Marriott, Monterey Bay, California, USA August 24–27, 2026

• June 2026, “A New Hybrid Neural-Quadratic Model-Based Derivative-Free Optimization Method” The 41st Colorado Conference on Iterative and Multigrid Methods, Boulder, Colorado, June 26, 2026

• June 2026, “Model-Based Derivative-Free Optimization” Department of Mathematical Sciences, Tsinghua University, Beijing, China (Online), June 3, 2026 (Invited one-hour lecture in the Departmental Academic Seminar Series) [Link]

• Mar. 2026, “Some New Approximation in Model-Based Derivative-Free Optimization” The 2026 INFORMS Optimization Society (IOS) conference, organized by the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, March 20–22, 2026 at the Ritz-Carlton, Atlanta, GA

• Feb. 2026, “Model-Based Derivative-Free Optimization” CSE Seminar, Harvard University

• Feb. 2026, “A New Hybrid Neural-Quadratic Model-Based Derivative-Free Optimization Method” Berkeley Lab CS Area Postdoc Symposium, Berkeley, CA video

• Jan. 2026, “Model-Based Derivative-Free Optimization” UBC Okanagan CMPS Seminar, Centre for Optimization, Convex Analysis & Nonsmooth Analysis, The University of British Columbia

2025

• Oct. 2025, “ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization” The 2025 INFORMS Annual Meeting, Atlanta, GA

• Jul. 2025, “ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization” The 8th International Conference on Continuous Optimization (ICCOPT 2025), Los Angeles, CA

• Jun. 2025, “A Family of Least-Norm Underdetermined Quadratic Models in DFO” Session on Advances in Derivative-Free and Zeroth-Order Optimization: Part V, EUROPT 2025, Southampton, United Kingdom

• Jun. 2025, “Optimization Approaches for Solving Inverse Problems Must Account for Uncertainty in Both Data and Downstream Decisions” Inverse Methods for Complex Systems under Uncertainty Workshop, Sponsored by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research, Rockville, MD, June 10–12, 2025

• Jun. 2025, “A New Model-Based Subspace Derivative-Free Optimization Method” Stream on continuous and mixed-integer nonlinear programming: theory and algorithms, EURO 2025 Leeds, Leeds, United Kingdom

• Mar. 2025, “ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization” SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, TX

• Feb. 2025, “Interpolation-Based Trust-Region Methods for Black-Box Optimization” Berkeley Lab CS Area Postdoc Symposium, Berkeley, CA video and news

2024

• Nov. 2024, “AI for Derivative-Free Optimization” Berkeley Math PhD Talks, Berkeley, CA

• Oct. 2024, “Barycenter of the Weight-Coefficient Region of Least-Weighted H^2 Norm Updating Quadratic Models with Vanishing Trust-Region Radius” The 1st SIAM Northern and Central California Sectional Conference (NCC24), Merced, CA

• Jul. 21–26, 2024, “A New Two-Dimensional Model-Based Subspace Method for Large-Scale Unconstrained Derivative-Free Optimization: 2D-MoSub” The 25th International Symposium on Mathematical Programming, Montréal, Canada

• Jul. 13, 2024, “A New Two-Dimensional Model-Based Subspace Method for Large-Scale Unconstrained Derivative-Free Optimization: 2D-MoSub” Computational Mathematics and Applications Seminar, Mathematical Institute, University of Oxford, Oxford, United Kingdom

• Jan. 18, 2024, “A New Two-Dimensional Model-Based Subspace Method for Large-Scale Unconstrained Derivative-Free Optimization: 2D-MoSub” Lawrence Berkeley National Laboratory, online, talk link at Computing Sciences Seminars of LBNL

2023

• Dec. 6, 2023, “A New Two-Dimensional Model-Based Subspace Method for Large-Scale Unconstrained Derivative-Free Optimization: 2D-MoSub” Argonne National Laboratory, online, talk link at LANS Seminar

• Aug. 20–25, 2023, “DFO with Transformed Objectives and a Model-Based Trust-Region Method” Presented in ICIAM 2023 in Tokyo, Japan (Minisymposium of Derivative-Free Optimization Theory, Methods, and Software) (This is joint work with Prof. Ya-xiang Yuan)

• Aug. 15–18, 2023, “A New Model-Based DFO Method Using an Improved Underdetermined Model” Presented in The 14th International Conference on Numerical Optimization and Numerical Linear Algebra in Taiyuan, China (This is joint work with Prof. Ya-xiang Yuan)

• Jun. 1, 2023, “Trust-Region Methods for Derivative-Free Optimization” (This is an invited talk @ University of South China.)

• Feb. 14, 2023, “Comparison of Quadratic Model-Based Methods and Direct Search Methods for Derivative-Free Optimization” (This is joint work with Prof. Ya-xiang Yuan, and presented in the group seminar @ LSEC.)

2022

• Nov. 19, 2022, Invited talk in CSIAM Student Forum, the 20th Annual Meeting of CSIAM

• Sept. 20, 2022, “Trust-Region Subproblem Optimality Constraints for Underdetermined Quadratic Models” (This is joint work with Prof. Ya-xiang Yuan, and presented in the seminar @ LSEC.)

• Mar. 22, 2022, “A Derivative-Free Optimization Algorithm Based on Speeding-Up and Slowing-Down Directions and Trust-Region Interpolation” (This is joint work with Prof. Ya-xiang Yuan, and presented in the group seminar @ LSEC.) Also presented in 2021 Mathematics Student Academic Forum in Chinese Academy of Sciences

2021

• Nov. 16, 2021, “Least H^2-Norm Updating Quadratic Models for Derivative-Free Trust-Region Algorithms” (This is joint work with Prof. Ya-xiang Yuan, and presented in the group seminar @ LSEC. See also the video of the plenary talk by Prof. Ya-xiang Yuan at the 4th BRICS Mathematics Conference, Dec. 2021.)

• Jul. 26, 2021, hosted the 10th CAS SIAM Student Chapter Annual Meeting (see news)

• May. 11, 2021, “Derivative-Free Solver NEWUOA-P and Differentially Private Noise-Adding Mechanisms for Private Black-Box Optimization” (This is joint work with Prof. Ya-xiang Yuan, and presented in the seminar @ LSEC.)

• Apr. 17, 2021, “Derivative-Free Optimization Solver for Grey-Box Optimization Problems” Link (This is an invited talk @ Tsinghua University.)

2020

• Dec. 08, 2020, “Subspace Methods: Finding the Dimensional Balance Between Approximation of the Optimization Problem and Subproblem Solving” Link (This is joint work with Prof. Ya-xiang Yuan, and presented in the seminar @ LSEC.)