Presentation

Upcoming Presentations

Y. Li, Quantum Circuit for Non-Unitary Linear Transformation of Basis Sets, World Young Scientist Summit 2024, Wenzhou China (2024).
Y. Li, TBD, Workshop on Machine Learning and Scientific Computing, Shanghai China (2024).
Y. Li, Quantum Orbital Minimization Method and Optimal Orbital Selection for Excited States Calculation, Asia-Pacific Association of Theoretical and Computational Chemists, Kobe Japan (2025).

Oral Presentations

Y. Li, Parallel Multi-Coordinate Descent Methods for Full Configuration Interaction, Workshop on Multiscale Computing and Model Order Reduction, Beijing China (2024).
Y. Li, Interior eigensolver based on rational filter with composite rule, CSIAM Annual Meeting 2024, Nanjing China (2024).
Y. Li, FCI Algorithms on Classical and Quantum Computer, Tongji University Applied Math Seminar, Shanghai China (2024).
Y. Li, Quantum Orbital Minimization Method and Optimal Orbital Selection for Excited States Calculation, Mathematical and Numerical Analysis of Electronic Structure Models, Stuttgart Germany (2024).
Y. Li, Coordinate Descent FCI for Excited States Calculation, Tongji University Numerical Linear Algebra Workshop, Shanghai China (2024).
Y. Li, SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks, Gou Xiong Hui Seminar, Online China (2024).
Y. Li, Interior eigensolver based on rational filter with composite rule, Summer School on Machine Learning and Numerical Linear Algebra, Xiangtan China (2024).
Y. Li, Resource Efficient Boolean Function Solver on Quantum Computer, Workshop on Quantum Error Correction and Quantum Algorithm, Shanghai China (2024).
Y. Li, Coordinate Descent FCI for Excited States Calculation, Xiangtan University Applied Math Seminar, Xiangtan China (2024).
Y. Li, Optimal orbital selection for excited states calculation, Women Mathematics and Interdisciplinary Research Conference, Suzhou China (2024).
Y. Li, Interior eigensolver based on rational filter with composite rule, The 4th International Conference on Quaternion Matrix Computation and Applications, Xuzhou China (2024).
Y. Li, From Linear Algebra to Quantum Computing, The Chinese Mathematics Competitions (Shanghai), Shanghai China (2024).
Y. Li, Fast Algorithms in STA, Workshop on multi-physical modelling and simulations for semi-conductor devices, Kunming China (2024).
Y. Li, Parallel Coordinate Descent Full Configuration Interaction, SIAM Conference on Parallel Processing for Scientific Computing, Baltimore MD USA (2024).
Y. Li, Classical and quantum algorithms for FCI excited states calculation, Fudan Theoretical Physics Seminar, Shanghai China (2024).
Y. Li, Quantum orbital minimization method and optimal orbital selection for excited states calculation, Joint Fudan-Vienna Workshop on Applied Mathematics and Data Science, Shanghai China (2024).
Y. Li, Coordinate-wise Descent Method for Full Configuration Interaction, Key Laboratory of Computational Physical Sciences Annual Meeting, Shanghai China (2024).
Y. Li, Fast Algorithmsfor Dense and Sparse Matrices, Workshop on Simulation in Semiconductor, Beijing China (2024).
Y. Li, Optimal Orbital Selection for Classical and Quantum Full Configuration Interaction, International Conference on Data Sciences and AI, Shanghai China (2023).
Y. Li, Coordinate Descent FCI for Excited States Calculation, Computational Methods for Eigenvalue Problems, Kunming China (2023).
Y. Li, Resource Efficient Boolean Function Solver on Quantum Computer, Workshop on Yangtze Delta Scientific Computing, Kunshan China (2023).
Y. Li, Coordinate Descent FCI for Excited States Calculation, Central South University Math Seminar, Changsha China (2023).
Y. Li, Quantum Orbital Minimization Method and Optimal Orbital Selection for Excited States Calculation, Shenzhen International Quantum Academy Workshop, Shenzhen China (2023).
Y. Li, Optimal Orbital Selection for Classical and Quantum Full Configuration Interaction, Workshop on Modeling & Simulation for Complex System, Beijing China (2023).
Y. Li, Coordinate Descent FCI for Excited States Calculation, CSIAM Annual Meeting 2023, Kunming China (2023).
Y. Li, Fast Algorithmsfor Dense and Sparse Matrices, Math Tour, Shanghai China (2023).
Y. Li, Quantum Eigensolvers on Quantum Computer II, Fall School on Quantum Computing at Peking University, Beijing China (2023).
Y. Li, Coordinate Descent FCI for Excited States Calculation, Beijing Normal University Math Seminar, Beijing China (2023).
Y. Li, Quantum Eigensolvers on Quantum Computer I, Fall School on Quantum Computing at Peking University, Beijing China (2023).
Y. Li, Coordinate Descent FCI for Excited States Calculation, Workshop on Interacting Particle System, Shanghai China (2023).
Y. Li, Resource Efficient Boolean Function Solver on Quantum Computer, 2023 Scientific Computing and Machine Learning, Wuhan China (2023).
Y. Li, Quantum Orbital Minimization Method for Excited States Calculation on a Quantum Computer, ICIAM 2023, Tokyo Japan (2023).
Y. Li, Quantum Orbital Minimization Method for Excited States Calculation on a Quantum Computer, NUS PDE and Scientific Computing Seminar, Singapore Singapore (2023).
Y. Li, Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget, CSCM2021, Nanjing China (2023).
Y. Li, Coordinate Descent FCI for Excited States Calculation, CSCM2021, Nanjing China (2023).
Y. Li, SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks, SJTU Machine Learning Summer School, Shanghai China (2023).
Y. Li, Quantum Orbital Minimization Method for Excited States Calculation on a Quantum Computer, NUDT Computer Science Seminar, Changsha China (2023).
Y. Li, Quantum Orbital Minimization Method for Excited States Calculation on a Quantum Computer, Applied Math and Computational Math Workshop, Guangzhou China (2023).
Y. Li, From Linear Algebra to Quantum Computing, Fudan 118 Annual Research Workshop, Shanghai China (2023).
Y. Li, Algorithm design and analysis in quantum computing, Advanced Computing Forum, Beijing China (2023).
Y. Li, Optimal Orbital Selection for Quantum Full Configuration Interaction, Peking-Fudan-Xiamen Computational Math Workshop, Xiamen China (2023).
Y. Li, Coordinate-wise Descent Methods for Full Configuration Interaction, Hunan Normal University Seminar, Changsha China (2023).
Y. Li, On the global convergence of coordinate gradient descent for non-convex optimization, CMS Annual Meeting, Wuhan China (2023).
Y. Li, Optimal Orbital Selection for Classical and Quantum Full Configuration Interaction, CMS Annual Meeting Workshop on Computational Mathematics, Wuhan China (2023).
Y. Li, Orthogonalization-free Eigensolvers for FCI excited states, GDUT Applied Math Seminar, Guangzhou China (2022).
Y. Li, Distributed Memory Hierarchical Matrix Algebra, Recent Progress on Scientific Computing, Shanghai China (2022).
Y. Li, Orthogonalization-free Eigensolvers for FCI excited states, SJTU Applied Math Seminar, Shanghai China (2022).
Y. Li, Optimal Orbital Selection for Classical and Quantum Full Configuration Interaction, Young Researcher Workshop on Scientific Computing, Shanghai China (2022).
Y. Li, On the Tensor Ring Approximation, CSIAM Annual Meeting, Guangzhou China (2022).
Y. Li, Optimal Orbital Selection for Classical and Quantum Full Configuration Interaction, CSRC Computational Math Seminar, Beijing China (2022).
Y. Li, Distrubuted-memory Hierarchical Interpolative Factorization, Huawei Computational Math Seminar, Hongkong China (2022).
Y. Li, Butterfly Factorization, Huawei Computational Math Seminar, Hongkong China (2022).
Y. Li, Distributed Memory Hierarchical Matrix Algebra, Huawei Computational Math Seminar, Hongkong China (2022).
Y. Li, On the global convergence of coordinate gradient descent for non-convex optimization, ShanghaiTech University Applied Math Seminar, Shanghai China (2022).
Y. Li, Fast algorithms for matrix factorization, Huawei-Fudan Workshop, Shanghai China (2022).
Y. Li, On the global convergence of coordinate gradient descent for non-convex optimization, Soochow University Applied Math Seminar, Soochow China (2022).
Y. Li, Algorithms in EDA tools for VLSI design, Lectures on Applied Mathematics at Peking University, Beijing China (2022).
[Application, Syllabus]
Y. Li, From fast algorithm to neural network: Butterfly factorization and Butterfly-Net, Fudan Nonlinear Key Lab Annual Meeting, Shanghai China (2022).
Y. Li, Fast Algorithms for FCI excited states, IPAM QMMWS3, Los Angeles CA USA (2022).
Y. Li, Orthogonalization-free Eigensolvers, AI Optimization Method with its Application in Yellow River, Ningxia China (2021).
Y. Li, On the global convergence of coordinate gradient descent for non-convex optimization, Fudan Nonlinear Key Lab Workshop, Shanghai China (2021).
Y. Li, On the global convergence of coordinate gradient descent for non-convex optimization, Fudan-Vienna Joint Workshop on Applied and Computational Mathematics, Shanghai China (2021).
Y. Li, On the global convergence of coordinate gradient descent for non-convex optimization, NUS Applied Math Seminar, Singapore Singapore (2021).
Y. Li, Orthogonalization-free Eigensolvers, Huawei STW, Shenzhen China (2021).
Y. Li, Anti-symmetry and Full Configuration Interaction, ByteDance Seminar, Beijing China (2021).
Y. Li, Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks, Workshop on Deep Learning and Numerical PDEs, Xian China (2021).
Y. Li, Variational Training of Neural Network Approximations of Solution Maps for Physical Models, 2021 KSIAM, Gangneung Korean (2021).
Y. Li, Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget, Workshop on Numerical Linear Algebra, Shanghai China (2021).
Y. Li, Fast Algorithms for Sparse Matrices, Huawei Faculty Workshop, Shanghai China (2021).
Y. Li, Interpolative Butterfly Factorization, SWUFE Math Seminar, Chengdu China (2021).
Y. Li, Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget, SIAM MS21, Bilbao Spain (2021).
Y. Li, Machine Learning and Scientific Computing, Roundtable on AI and Market Analysis, Shanghai China (2021).
Y. Li, Coordinate-wise Descent Methods for Leading Eigenvalue Problem, Fudan Lunch Seminar, Shanghai China (2021).
Y. Li, Variational Training of Neural Network Approximations of Solutions Maps for Physical Models, SIAM Conference on Computational Science and Engineering, Fort Worth TX USA (2021).
Y. Li, Interior eigensolver for sparse Hermitian definite matrices based on Zolotarev's functions, Opportunities and Challenges in Numerical Algebra, Nanjing China (2021).
Y. Li, Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks, SJTU AI+Math Colloquium, Shanghai China (2021).
Y. Li, Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget, The 3rd workshop on plainwave DFT, Beijing China (2021).
Y. Li, Fast Algorithms for Full Configuration Interactions, YSSEC2020, Beijing China (2020).
Y. Li, Coordinate-wise Descent Methods for Full Configuration Interaction, Purdue University CCAM Seminar, West Lafayette IN USA (2020).
Y. Li, Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks, Workshop on High Performance Computing and Data Science, Nanjing China (2020).
Y. Li, Coordinate-wise Descent Methods for Full Configuration Interaction, University of Toronto Math Special Colloquium, Toronto Canada (2020).
Y. Li, Coordinate-wise Descent Methods for Full Configuration Interaction, UC Berkeley Math Thematic Seminar, Berkeley CA USA (2020).
Y. Li, Coordinate-wise Descent Methods for Full Configuration Interaction, Rice CAAM Special Seminar, Houston TX USA (2020).
Y. Li, Interior eigensolver for sparse Hermitian definite matrices based on Zolotarev's functions, Workshop on Matrix Eigenvalue Problems, Shanghai China (2020).
Y. Li, Tensor train and tensor ring in quantum many-body calculations, Workshop on Electronic Structure Computation, Shanghai China (2019).
Y. Li, Oscillatory Integral Operators and Interpolative Butterfly Factorization, Launching Program of Zu Chongzhi Center of Mathematics and Computational Science, Kunshan China (2019).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, Modeling, Algorithms and Analysis of Complex Fluid, Beijing China (2019).
Y. Li, Kernel Functions and Their Fast Evaluations, The 3rd International Conference on Kernel-based Methods and Machine Learning, Suzhou China (2019).
Y. Li, Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators, Workshop on Numerical Methods for PDEs, Beijing China (2019).
Y. Li, Distributed-Memory Hierarchical Matrix Algebra, Solver, Kunming China (2019).
Y. Li, Variational Training of Neural Network Approximations of Solution Maps for Physical Models, International Multigrid Conference, Kunming China (2019).
Y. Li, Approximate Tensor Ring Decomposition, International Multigrid Conference, Kunming China (2019).
Y. Li, Coordinate-wise Descent Methods for Leading Eigenvalue Problems from Full CI, International Congress on Industrial and Applied Mathematics, Valencia Spain (2019).
Y. Li, On the Tensor Ring Approximation, Workshop on High-Dimensional Learning and Computation in Physics, Singapore (2019).
Y. Li, Variational Training of Neural Network Approximations of Solutions Maps for Physical Models, Workshop on Machine Learning Techniques in Scientific Computing, Wuhan China (2019).
Y. Li, Variational Training of Neural Network Approximations of Solutions Maps for Physical Models, Fudan University School of Data Science Seminar, Shanghai China (2019).
Y. Li, Analysis and Applications of Coordinate Descent Methods for Leading Eigenvalue Problems, Virginia Tech Math Colloquium, Blacksburg VA USA (2019).
Y. Li, Coordinate-wise Descent Methods for the Full Configuration Interaction Calculation, SIAM Conference on Computational Science and Engineering, Spokane WA USA (2019).
Y. Li, Coordinate-wise Descent Methods for the Full Configuration Interaction Calculation, Mathematical Analysis and Computation for Quantum Systems, Beijing China (2019).
Y. Li, Butterfly: From Fast Algorithms to Convolutional Neural Network, Applied Mathematics and Statistics Youth Forum PKU, Beijing China (2018).
Y. Li, Fast Algorithms Inspired Deep Neural Networks, ICMSEC Seminar, Beijing China (2018).
Y. Li, Coordinate-wise Descent Methods for Leading Eigenvalue Problems, SJTU INS Seminar, Shanghai China (2018).
Y. Li, Reverse Communication Interface for Iterative Eigensolvers in ELSI, ELSI Conference, Richmond VA USA (2018).
Y. Li, Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators, SIAM Conference on Mathematical Aspects of Materials Science, Portland OR USA (2018).
Y. Li, Consistent Symmetric Greedy Coordinate Descent Method, SIAM Annual Meeting, Portland OR USA (2018).
Y. Li, Sparse Factorizations and Scalable Algorithms for Elliptic Differential Operators, Workshop on Computational Techniques in Physical Sciences and Data Science, Shanghai China (2018).
Y. Li, Consistent Symmetric Greedy Coordinate Descent Method, SIAM Conference on Applied Linear Algebra, Hong Kong China (2018).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, NUDT Computer Science Seminar, Changsha China (2018).
Y. Li, Recent Development in Distributed-memory Hierarchical Interpolative Factorization, SIAM Parallel Processing for Scientific Computing, Tokyo Japan (2018).
Y. Li, Reverse Communication Interface in ELSI, SIAM Parallel Processing for Scientific Computing, Tokyo Japan (2018).
Y. Li, Kernel Functions and Their Fast Evaluations, JHU Data Seminar, Baltimore MD USA (2017).
Y. Li, Oscillatory Integral Operators and Interpolative Butterfly Factorization, International Conference On Preconditioning Techniques For Scientific And Industrial Applications, Vancouver Canada (2017).
Y. Li, Multiscale Fast Algorithm for STORM Imaging, SIAM Annual Meeting, Pittsburgh PA USA (2017).
Y. Li, Sparse Factorizations and Scalable Algorithms for Differential and Integral Operators, Defense, Stanford CA USA (2017).
Y. Li, Spectral Slicing for Hermitian Matrices Based on Zolotarev's Functions, UC Davis PDE and Applied Math Seminar, Davis CA USA (2017).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, SIAM Conference on Computational Science and Engineering, Atlanta GA USA (2017).
Y. Li, Distributed-Memory Hierarchical Matrix Algebra, SIAM Conference on Computational Science and Engineering, Atlanta GA USA (2017).
Y. Li, Sparse Factorizations and Scalable Algorithms for Differential and Integral Operators, UC Berkeley Applied Mathematics Seminar, Berkeley CA USA (2017).
Y. Li, Spectral Slicing for Hermitian Matrices Based on Zolotarev's Functions, ICME Seminar, Stanford CA USA (2016).
Y. Li, Fast Algorithms for Oscillatory Integral Operators, SIAM Annual Meeting, Boston MA USA (2016).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, SIAM Annual Meeting, Boston MA USA (2016).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, ICME Seminar, Stanford CA USA (2016).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, SIAM Conference on Parallel Processing for Scientific Computing, Paris France (2016).
Y. Li, Butterfly Factorization, International Congress on Industrial and Applied Mathematics, Beijing China (2015).
Y. Li, A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators, International Congress on Industrial and Applied Mathematics, Beijing China (2015).
Y. Li, Butterfly Factorization, Gene Golub SIAM Summer School, Delphi Greece (2015).
Y. Li, Butterfly Factorization, ICME Seminar, Stanford CA USA (2015).

Poster Presentations

Y. Li, Coordinate-wise Descent Methods for Leading Eigenvalue Problems, ELSI Conference, Richmond VA USA (2018).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, International Conference On Preconditioning Techniques For Scientific And Industrial Applications, Vancouver Canada (2017).
Y. Li, Distributed-memory Hierarchical Interpolative Factorization, Modern Advances in Computational and Applied Mathematics, New Haven CT USA (2017).
A workshop in honor of the birthdays of Charles L. Epstein and Leslie Greengard
Y. Li, Interpolative Butterfly Factorization, ICME Xpo, Stanford CA USA (2016).
Y. Li, Distributed-memory H-Matrix Algebra, ICME Xpo, Stanford CA USA (2015).
Y. Li, Butterfly Factorization for Special Function Transforms, February Fourier Talks, College Park MD USA (2015).

Others

Y. Xiong, Y. Li and Y. Li, Minisymposium Organizer, High-dimensional problems and quantum computing, CSIAM Annual Meeting 2024, Nanjing China (2024).
[Part I, Part II]
W. Gao, Y. Li and S. Lu, Workshop Organizer, Peking-Fudan-Xiamen Computational Mathematics Joint Workshop, Shanghai China (2024).
W. Gao, K. Wei and Y. Li, Workshop Organizer, Machine Learning and Scientific Computing 2024, Shanghai China (2024).
W. Hu and Y. Li, Minisymposium Organizer, Machine Learning and Computational Chemistry, Conference of Scientific Machine Learning, Shanghai China (2024).
[Part I, Part II]
W. Gao and Y. Li, Minisymposium Organizer, Mathematical Foundation of AI, CSIAM-BDAI 2024, Yinchuan China (2024).
[Part I, Part II]
Y. Li, Minisymposium Organizer, Mathematical Methods in Machine Learning, Hangzhou International Conference on Frontiers of Data Science, Hangzhou China (2024).
[Part I]
Y. Li and M. Shao, Minisymposium Organizer, Recent Development on Contour Integral Based Numerical Linear Algebra Methods, SIAM Conference on Applied Linear Algebra, Paris France (2024).
[Part I]
Y. Li, Panelist, ISEDA2024, Xi'an China (2024).
Y. Xiong, Y. Li and Y. Li, Minisymposium Organizer, High-dimensional problems and quantum computing, CSIAM Annual Meeting 2023, Kunming China (2023).
[Part I, Part II]
Y. Xiong and Y. Li, Minisymposium Organizer, Numerical methods for high-dimensional problems, ICIAM 2023, Tokyo Japan (2023).
[Part I, Part II]
Y. Li, Minisymposium Organizer, Computational Methods in Data Science, CSCM2021, Nanjing China (2023).
W. Gao, K. Wei and Y. Li, Workshop Organizer, Machine Learning and Scientific Computing 2023, Shanghai China (2023).
Y. Li, L. Luo, M. Shao and K. Wei, Mini-course Organizer, Theory and Numerical Methods for Nonlinear Dimension Reduction and Manifold Learning, Shanghai China (2023).
[Poster]
Y. Li, L. Luo, M. Shao and K. Wei, Mini-course Organizer, Numerical Methods for Large-scale Matrix Computation, Shanghai China (2022).
[Poster]
P. Ming and Y. Li, Minisymposium Organizer, Scientific computing and machine learning, CSML2022, Beijing China (2022).
Y. Li, Program Chair, The 0th Coding Hackathon, Shanghai China (2022).
Y. Li, Workshop Organizer, Workshop on Quantum Computing, Shanghai China (2021).
Z. Wang, L. Zhou and Y. Li, Minisymposium Organizer, Recent Progress in Configuration Interaction Calculation, SIAM MS21, Bilbao Spain (2021).
[Part I, Part II]
T. Cui, X. Liu, Y. Li, X. Xiang and R. Zhang, Minisymposium Organizer, Machine Learning and High Performance Computing, International Multigrid Conference, Kunming China (2019).
[Part I, Part II, Part III]
Z. Wang and Y. Li, Minisymposium Organizer, Recent Progress in Coordinate-wise Descent Methods, SIAM Conference on Computational Science and Engineering, Spokane WA USA (2019).
[Part I]
H. Yang and Y. Li, Minisymposium Organizer, Large-scale eigenvalue problems and applications, SIAM Conference on Applied Linear Algebra, Hong Kong China (2018).
[Part I, Part II, Part III]
Y. Li and C. Chen, Minisymposium Organizer, Techniques for Developing Massively-Parallel Linear Solvers, SIAM Parallel Processing for Scientific Computing, Tokyo Japan (2018).
[Part I, Part II]
Y. Li, Workshop Organizer, Bay Area Scientific Computing Day, Stanford CA USA (2016).
[BASCD]
H. Yang and Y. Li, Minisymposium Organizer, Hierarchical Structure and Randomness in Linear Algebra, SIAM Annual Meeting, Boston MA USA (2016).
[Part I, Part II]