Interaction effect on topological insulator: studies based on interacting Greens functions, Singapore, 2011 Aug

Density functional theory for static and dynamical properties of cold atomic gases, Monte Verita, 2012 June

Simulating dynamics and topological phases of cold fermionic gases, Queenstown, 2013 Feb

Topological charge pumping of cold atoms, Cargese, 2013 June

Spinless Fermions on a Honeycomb Lattice, KITPC, Beijing, 2014 May

Recent progresses on diagrammatic determinant QMC, ECT* Trento, 2015 Oct

My years at ETH, Farewell group meeting, 26.02.2016

How did I earn an Erdos number of 2? CSRC, Beijing, 2016 April

Simulation of Hubbard Models in the Era of Synthetic Gauge Field, Wuhan, 2016 July

From Fidelity Susceptibility to Recommender Engines, CUHK, HongKong, 2016 Nov

Can machine learning teach us cluster updates? INT, Seattle, 2017 March

Machine Learning for Many-Body Physics, Xi'an, 2017 July

Artificial Intelligence and Quantum Physics, CSRC, 2017 September

From Boltzmann Machines to Born Machines, MPI-PKS, 2018 June

Neural Network Renormalization Group, MPI-PKS, 2018 June

Tensor Networks for Generative Modeling, RIKEN R-CCS, 2018 Dec

Math and Physics of Deep Learning, Tsinghua, 2018 Dec

Born Machines: A fresh approach to quantum machine learning, USTC, 2019 Jan

Quantum Many-Body Computation on a Smaller Quantum Computer, Tsinghua IIIS, 2019 April

Differentiable Programming Tensor Networks and Quantum Circuits, Perimeter Institute, 2019 July

Neural Canonical Transformations, U. Tokyo, 2019 Oct

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design, IOP, 2019 Dec

Neural canonical transformation for m* of electron gases, TNSAA online, 2022 Jan

Generative AI for Sciences, Gaoling School of Artificial Intelligence RUC, 2022 Nov

A deep variational free energy approach to dense hydrogen, Perimeter Institute, 2023 June

Unlocking the Power of the Variational Free-Energy Principle with Deep Generative Models, Leipzig, 2023 Sep

CrystalFormer, Tokyo, 2024 March