I am a Ph.D student at School of Computing and Information (SCI), University of Pittsburgh. My major is Information Science and Technology. Currently, I work in PITT Computational Social Dynamics Lab (PICSO LAB) which is directed by Dr. Yu-Ru Lin. I am interested in machine learning, deep learning, data science and network science. With the escalating amount of heterogeneous, multi-sourced and time-varying datasets, I explore intelligent and computational methods to characterize underlying patterns, identify anomalous phenomena, and to forecast future’s evolutions. If you are interested in my research, please visit Research and Publication.
Before I came to Pittsburgh, I worked with Dr. Hernan Makse in Complex Networks and Soft Matter Lab at City College of New York from 2015 to 2016. Prior to that, I obtained my master and bachelor degrees in Mathematics and Engineering from Beihang University, China.
- 06/2018 Our CI-TM algorithm code is published now at github for the convenience of whom might need it. It is proposed in our paper Efficient collective influence maximization in cascading processes with first-order transitions.
- 05/2018 Our paper "Deep into Hypersphere: Robust and Unsupervised Anomaly Detection in Dynamic Networks" is accepted for inclusion in the IJCAI 2018.
- 11/2017 I attended CIKM 2017 in Singapore and gave a talk about our work. Here is the slide [download].
- 08/2017 I received student travel grants from NSF & SIGWEB as well as SIGIR to attend CIKM 2017 in Singapore.
- 08/2017 Our paper Anomaly detection in dynamic networks using multi-view time-series hypersphere learning is accepted for inclusion in the CIKM 2017 conference. Codes at GitHub.
- 07/2017 I present a poster to introduce our recent work about anomaly detection in dynamic networks at SIAM Workshop on Network Science (NS2017) in Pittsburgh, USA. [Slides]
- 03/2017 Our paper Efficient collective influence maximization in cascading processes with first-order transitions is published in Scientific Reports. We develop a new algorithm called "CI-TM" (codes available at github), which can quickly spot influential spreaders to promote information diffusion in networks.
- 10/2016 Our paper Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks is published in Scientific Reports. This is my research work in Levich Institute, CCNY in during 2015 to 2016.
- 09/2016 I launched a new homepage, the old one is here: Former Homepage.
- 05/2016 I moved to Pittsburgh from New York, and started my Ph.D studies at iSchool of Pitt.
- 06/2015 I moved to New York City and started my research work at Levich Institue of City College of New York (CCNY).