Time\Date | Apr 22 Fri |
Apr 23 Sat |
---|---|---|
09:00-09:25 | Feng Jun Xu | |
09:25-09:50 | Hamed Adami | |
09:50-10:15 | Rui Jie Xu | |
10:45-11:10 | Hongfei Shu | |
11:10-11:35 | Andrew Best | |
11:35-12:00 | Wen Juan Li | |
13:00-13:25 | Cezar Lupu | |
13:25-13:50 | Dingqun Deng | |
13:50-14:15 | Bo Wen Zhao | |
14:45-15:10 | Shuo Yang | |
15:00-15:30 | Xiaolong Han | |
15:10-15:35 | Miao He | |
15:30-15:55 | Tao Su | |
15:35-16:00 | Sangsan Warakkagun | |
15:55-16:20 | Jie Bo Song | |
16:00-16:30 | Binbin Yan | |
16:45-17:10 | Tinhinane Azzouz | |
17:10-17:35 | Lishan Yu | |
17:35-18:00 | Ken Kikuchi |
*All time in this webpage refers to Beijing Time (GMT+8).
15:00-15:30 Xiaolong Han
Growth of L2 norm with respect to topological complexity
15:30-15:55 Tao Su
Mirror P=W phenomena for character varieties
15:55-16:20 Jiebo Song
Recursive Masked Subspace Clustering
16:45-17:10 Tinhinane Azzouz
Spectrum of p-adic differential equations
17:10-17:35 Lishan Yu
US birth database harmonization & signatures of immunotherapy response to cancer
17:35-18:00 Ken Kikuchi
RG flow and CFT
09:00-09:25 Fengjun Xu
Topological defects lines in Fermioinc models
09:25-09:50 Hamed Adami
Symmetries at Null Boundaries in Diverse Dimensions
09:50-10:15 Ruijie Xu
Lattice Walk and related problems
10:45-11:10 Hongfei Shu
Integrability and gauge theory
11:10-11:35 Andrew Best
Asymptotic Total Ergodicity
11:35-12:00 Wenjuan Li
Determinacy of infinite games and automata on infinite words
13:00-13:25 Cezar Lupu
Zagier's formula for multiple zeta values and its odd variant
13:25-13:50 Dingqun Deng
Spectrum analysis of Boltzmann equation for soft potential
13:50-14:15 Bowen Zhao
Rossby waves in circulations
14:45-15:10 Shuo Yang
Gamma-convergent Projection-free Finite Element Methods for Nematic Liquid Crystals
15:10-15:35 Miao He
CausalBG: Causal Recurrent Neural Network for the Blood Glucose Inference
15:35-16:00 Sangsan Warakkagun
Connectivity of the space of pointed hyperbolic surfaces
16:00-16:30 Binbin Yan
A novel Deep Learning Framework: Prediction and Analysis of Financial Time Series using CEEMD and LSTM