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统计物理与神经计算

简介 Physics, Machine and Intelligence

大学 中山大学 / 物理学院
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Workshop on statistical physics and neural computation (SPNC-2019)

International Workshop on Statistical Physics and Neural Computation (SPNC-2019)

Sun Yat-sen University, Guangzhou, China

Oct 4-6, 2019

The workshop was over, and all participants can download the conferene photo here for a memory. Videos of all lectures are HERE.

Introduction

There are active research interests in the interdisciplinary boundaries across physics, mathematics, machine learning and neural computation, which is mostly stimulated by the success of deep learning techniques in various academic and industrial applications, and also by the inquiry of how the brain works during worldwide brain projects. However, the core topic—-neural networks, still being a black box lacking mechanism explanations, drives the recent efforts of the physics/math community towards understanding the inner workings of these artificial and biological neural networks. Progress along this line should provide keys to open new doors towards novel applications, predictions and even new paradigms. Here, we gather top experts in this field to discuss recent progress, and inspire collaborations.

Scope

  • Analytic and numerical techniques to analyze neural networks

  • Theory of deep learning

  • Dynamical models of neural computation

  • Biological neural networks

  • Other theoretical topics of neural networks

Program (details come soon)

Conference booklet is attached here.

Oct 3 Registration at Kaifeng Hotel, Sun Yat-sen University, 2pm-8pm

Oct 4-Oct 6 Main Meeting, Chit Sang Hall (3rd floor):

8:30am-12:00am 3 invited talks (each 50mins) +1 contributed talks (each 30mins) with 30 mins' break

2:00pm-5:40pm 2 invited talks +3 contributed talks with 30 mins' break

To attend the workshop, please write to huanghp7@mail.sysu.edu.cn before DeadLine: Sept 23, 2019

Speakers

Contributed Speakers 

  • Zedong Bi (HKBU)

  • Yansong Chua (Huawei)

  • Łukasz Kusmierz (RIKEN)

  • Junhao Liang (SYSU)

  • Xiangyu Ma (HKUST)

  • Chihiro Noguchi (Tokyo Tech)

  • Tomoyuki Obuchi (Tokyo Tech)

  • Yu Terada (RIKEN)

  • Takashi Takahashi (Tokyo Tech)

  • Juntao Wang (HKUST)

  • Chuang Wang (IOA, CAS)

  • Yingying Xu (Tokyo Tech)

  • Min Yan (HKUST)

Other Participants (don't care the order):

  • Geng Li (CAS)

  • Shangnan Wang (CAS)

  • Kwan Tung Li (HKBU)

  • Daniel Kristanto (HKBU)

  • Yuqi Liang (HKBU)

  • Xinran Ma (Beijing Normal University)

  • Jack Murdoch Moore (Tongji U)

  • Tingting Gao (Tongji U)

  • Xinya Zhang (Tongji U)

  • Xinjie Zhang (Tongji U)

  • Wenkuo Cui（Tongji U）

  • ​Weifeng Yang (Shantou U)

  • Yan Zhang (GDUFS)

  • Jie Li (Shantou U)

  • Xiwang Liu (Shantou U)

  • Youfang Yan (Shanxi Normal U)

  • Zhe Yuan (Beijing Normal U)

  • Qi Zhang (Zhejiang University)

  • Lu Yang (Huawei Hong Kong)

  • Wenting Sheng (Huazhong Normal U)

  • Qing Yu (Huazhong Normal U)

  • Zhihang Liu (Huazhong Normal U)

  • Yuxiang Yang （Huazhong Normal U)

  • Fei Ma (Huazhong Normal U)

  • Tao Zhang (Huazhong Normal U)

  • Jianmin Shen （Huazhong Normal U)

  • Hongrui Fan (Huazhong Normal U)

  • Bo Li (Aston University, UK)

  • Yiming Liu (Beijing Normal U)

  • Jian Zhang (Beijing Normal U)

  • Ning Liu (Beijing Normal U)

  • Lu Chen （Beijing normal U）

  • Yifan Sun （Renmin University of China)

  • Tianyi Wu （Peking U）

  • Jinhua Zhao (South China Normal U)

  • Fangyan Ouyang (Comunication U of Zhejiang)

  • Kun Yan (SYSU)

  • Wenyong Li （SYSU）

  • Long Xiong (Zhejiang U)

  • Yuanyuan Mi (Chongqing U)

  • Mingyang Bi (Xiamen U)

  • Zhen Li (Hua Wei, Hong Kong)

  • Kaiyuan Cao （Nanjing Normal U)

  • Chunyang Wang （Ludong University）

  • Rui Zhang (Huawei, Hong Kong)

  • Yating Deng （SYSU）

  • Xiaorui Zhu （BNU）

  • Xiaoming Wang (South China Normal U)

  • Jiazheng Ma (SYSU)

  • Yajun Zhang （BNU）

  • Jie Sun （Huawei，Hong Kong）

  • Mengmeng Jin (Hangzhou Dianzi U)

  • Xuhui Huang (IOA, CAS)

  • Jianbo Gao (Beijing Normal U)

  • Xingsi Dong (Peking U)

  • Tianhao Zhu (Peking U)

  • Jianyang Gao (Peking U)

  • Nancheng Zheng (SYSU)

  • Chan Li (SYSU)

  • Zhengye Huang (SYSU)

  • Dongjie Zhou (SYSU)

  • Wenxuan Zhou (SYSU)

  • Jiangwen Zhou (SYSU)

  • Zijian Jiang (SYSU)

  • Tianqi Hou (HKUST)

  • Xiaohui Deng (HKUST)

  • Junbin Qiu (SYSU)

  • Leyi Li (SYSU)

Travel Information

VISA:

    As we know,  no visa is required for ordinary passport holders from Singapore, Brunei and Japan to visit China for up to 15 days for business, sightseeing, visiting relatives and friends or transit. Other foreign visitors need a visa to enter China. Please check with the Chinese embassy or consulate in your residence area to make sure whether you need a visa. ​

     It is better that you apply for a visa one month before your planned date of entry into China but not earlier than three months. 

     Most non-Chinese citizens will need a visa to come to China for the conference. The types of visas suitable for the participation of the conference are either "L" or "F". Here is a reference website explaining different types of visas, http://www.china-embassy.org/eng/visas/hrsq/. To apply for a Chinese visa, please check the website above or the homepage of your nearest Chinese consulate for required documents. You will need an invitaiton letter from us.

    To get a proper invitation letter, please fill in the word file or contact huanghp7@mail.sysu.edu.cn. We will then prepare an invitation letter for you to support your visa application.

Transportation to Guangzhou:

1. Baiyun airport (CAN), Guangzhou (Recommended)

  • http://www.gbiac.net/en/byhome, ~45km away from the city center​.

  • Take a taxi to SYSU (about RMB150). It takes about one hour but not in busy time.

  • Take the Airport Express Bus and continue with a taxi: Take the Airport Express Bus (about RMB30) to the New Pearl River Hotel (Metro Line 6) or to Guangzhou Textile Exchange Park (Metro Line 10), get off and take a taxi (RMB10) to the South Campus of SYSU.

  • Take the metro at Airport South Station to SYSU (RMB ~12): First take Line 3 (Airport S. to Tiyuxi Road) to the Tiyuxi Road Station then transfer to another Line 3 (Tianhe Coach Terminal to Panyu Square) and get to the Kecun Station,then transfer to Line 8 (towards Fenghuang Xincun). Get off at Lujiang Station (for SYSU East Gate) or at Sun Yat-Sen University Station (for SYSU South Gate).

2. Hong Kong airport (HKG), Hong Kong

  • Buses: There are a few limo/bus companies from the airport to Guangzhou. Follow the sign “Transportation to Mainland”and there are several coach companies providing such services. Tickets cost about HKD230-250. You will be taken to your buses by the staffs at the airport but, unfortunately, there is no English information from the website of the bus company and English service after you board the bus is not guaranteed any more. These buses stop at a few major connection points in Guangzhou and they vary from company to company. Not suggested to people who don’t speak Chinese but quite convenient for people who do: detailed information is HERE. Most buses would stop at Tianhe (Jinnan University), which might be the most convenient to SYSU.

  • Metro + Trains (transfer at the border): Use the metro system in Hong Kong to Luohu Station first. Then cross the border to Mainland and you are in Shenzhen. You can use the bullet trains connecting Luohu Station Shenzhen and Guangzhou East. It takes ~80-90 minutes and runs every 15-20 minutes. Walk to the Guang-Shen ticket counter (follow the signs) and buy a Guangzhou-Shenzhen express ticket with your passports.

  • Ferry service to Guangzhou Lian Hua Shan from Hong Kong Airport, but the time table is very limited. Please see the link. From Lian Hua Shan port, you can take a taxi/metro system to the University (see below). For the ferry, see also here.

3.​  Land connections to Guangzhou (within China):

  • Bullet train: Guangzhou South Station

  • China Railway High-speed (CRH): Guangzhou South Station

4.  Within Guangzhou:

  • Taxi service is very convenient in Guangzhou. An available Taxi displays a red sign of "空车(Empty)" near the front windshield. Please keep the printed invoice when you get off so that you can contact the taxidriver or the taxi company in case of any problems.

  • Our address is: "广州市海珠区新港西路135号中山大学" in Chinese and the nearest metro stations are Lujiang or Sun Yat-Sen University Station on Line 8.

Note that for invited speakers, please buy the flight ticket yourself, and then get the reimbursement. Please keep the receipt, E-ticket  itinerary and the flight boarding cards for us.

For the registration and conference venue (Kaifeng Hotel and Chit Sang Hall, 哲生堂 respectively), please see the map.

Accomodation

The hotel rooms for invited and contributed speakers are booked by organizers. The location is within the campus, i.e., Sun Yat-sen University Kaifeng Hotel near to the North Gate.

Hotel Venue Directions for you and your Drivers: 

“请送我到中大凯丰酒店（广州市海珠区滨江东路中山大学南校区北门）。”

“Please send me to Kaifeng Hotel (North Gate of Sun Yat-sen University, Binjiang Dong Road, Haizhu District, Guangzhou, 510275, China)”

For other participants, please write to huanghp7@mail.sysu.edu.cn if you want us to book a hotel room 

within/close to the campus, e.g., Wing Kwong Hall Hotel, and New Pearl River Hotel. ​

Two other hotels on campus:

1. Wing Kwong Hall Hotel (中大荣光堂）

​广州市海珠区新港西路135号中大南校园 （靠北门）Tel：020-84112138

2. ​中山大学紫荆园宾馆 （中大南校区内，靠南门，Tel：020-84111888）

For tour information, please see the following links:

创建: Feb 21, 2019 | 09:46
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