( Resume ) are available online.
I like research, history, poem and science fiction extraodinarily. This is a note for poems written by me since 2013: Link
I am a qualified swimming instructor. Running, tennis and playing soccer are also in my favor.
Thanks for the instructions and cooperation by Dr. Berkay Celik, Dr. Tiark Rompf and Dr. Sabre Kais During my Master's Career, Dr. Liang Lin and Dr. Zibin Zheng During my Undergarduate time.
It's also some great talk with Nobel Prize in Physics Dr. Barry Barish and Turing Awards Dr. Jack Dongarra .
To appear
* indicates equal contribution
[1] MMI-ALI: Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
Ziliang Chen*, Zhanfu Yang*, Xiaoxi Wang*, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin. [cite]
In Proceedings of the Thirty-sixth International Conference on Machine Learning (ICML 2019) [1] Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf.[cite] In Proceedings of the Thirty-sixth ICML Workshop for Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop) [1] Title: GNN in 2QB. PurPL Seminar (2019.Sep.20). [video]. [slide]
Researching topic: Wings: Determine the feasibility of developing a cloud-based dashboard for running and monitoring pipelines in Medicine. (Advisor: Amir Bahmani, Keith Bettinger)
Researching topic: Graph Neural Network and Machine Learning platform (Advisor: Tiark Rompf)
Software Engineer Intern: Distributed Optimize the Chemical Application with OpenMp/MPI in the Tianhe-2 (Advisor: Yunfei Du)
Researching topic: Generative Adversarial Imitation Learning
Researching topic: Multidomain's improvement of Cycle Generative Adversarial Network (Advisor: Liang Lin)
Researching topic: A traffic prediction platform / Htcondor platform. (Advisor: Zibin Zheng)
Jobs:
(1)Take part in the installation of hadoop environment
(2)Set up the high throughout distributed platform.
Topic: CTF, Cryptography, SQL injection and DNS spoofing
Topic: Run our parallel optimized program in a platform within 3000W for high performance.
Jobs: Instruct for the system, archetecture and application.
Topic: Develop a Blockchain application base on the linuxONE platform
Jobs: Build up the system base on the linuxONE and develop the chaincode.
Topic: Develop parallel application base on the domestic cpu platform
Jobs: BUild up the platform and optimize part of the code.
Topic: Run our parallel optimized program in a platform within 3000W for high performance.
Jobs:
(1)Building cluster and install system
(2)Improved the achitecture, network with RDMA and test for HPL and HPCG.
(3)The parallel optimization program about Wave’s model(MPI,openMP).
(4)The deep learning program about PaddlePaddle’s traffic model(python, cuda).
Topic: A simulation program in the pre experiment of bacterial culture
Jobs: Data collection and analysis, algorithm optimization.
Topic: Run our parallel optimized program in a platform within 3000W for high performance.
Jobs:
(1)Building cluster and install system
(2)Improved the achitecture, network with RDMA and test for HPL and HPCG.
Topic: Metro Advice Service base on big data.
Jobs:
(1)Use GPU with CUDA for parallel acceleration.
(2)Optimize the algorithm model.