Hongyuan Mei

Mei, Hongyuan (梅洪源)

Email: hmei [at] cs [dot] jhu [dot] edu
Google Scholar, Github

Ph.D. Student in Computer Science
Johns Hopkins University


21-Apr-19 Neural Hawkes particle smoothing accepted to ICML 2019
22-Feb-19 A paper on Chinese classifiers accepted to NAACL 2019
03-Jul-18 Acknowledged as ACL 2018 Outstanding Reviewer
14-Jun-18 Give a Deep Learning tutorial at 2018 JHU Summer School
21-May-18 Awarded with Bloomberg Ph.D. Fellowship
09-Apr-18 Halo accepted to *SEM 2018
21-Nov-17 ACL-RepL4NLP-2018 Workshop accepted
04-Sep-17 Neural Hawkes process accepted to NIPS 2017
24-Jan-17 Give a talk at NIH about neural Hawkes process
29-Dec-16 Neural Hawkes process paper posted on arXiv
11-Nov-16 Coherent dialogue paper accepted to AAAI 2017
28-Aug-16 Start graduate study at CLSP-JHU
12-May-16 Will join CLSP-JHU as Ph.D. student in August
12-May-16 Will start summer internship at MSR at end of May
02-Mar-16 Selective generation paper accepted to NAACL 2016
11-Dec-15 Thanks to NIPS 2015 MMML for NVIDIA GPU Award
12-Nov-15 Neural navigation paper paper accepted to AAAI 2016
01-Mar-15 Start visiting TTI-Chicago
      [About Me]      [Research & Publications]      [Teaching]      [Professional Service]      [Life Outside Lab]

About Me

I am a Ph.D. student (2016-) in Department of Computer Science at Johns Hopkins University, affiliated with the Center for Language and Speech Processing. I am advised by Jason Eisner and Benjamin Van Durme, and also collaborate with Kevin Duh.

My research interests are rooted in designing models and algorithms to solve challenging real-life problems. I am currently working on continuous-time sequential modelling (e.g., neural Hawkes process), funded by Bloomberg Data Science Ph.D. Fellowship.

Befor joining
CLSP-JHU, I obtained a M.S. in Physical Science at The University of Chicago, and did research in natural language understanding and generation with Professor Mohit Bansal and Professor Matthew R. Walter at Toyota Technological Institute at Chicago. Prior to that, I obtained a B.E. in Electrical Engineering from Huazhong University of Science and Technology.

Research & Publications

I believe that great research stems from curiosity.

Quote from David Blackwell: "I've worked in so many areas – I'm sort of a dilettante. Basically, I'm not interested in doing research and I never have been. I'm interested in understanding, which is quite a different thing. And often to understand something you have to work it out yourself because no one else has done it."

My work in continuous-time sequential modelling includes:

I also actively publish in machine learning methods for natural language processing:

and sometimes dabble in linguistics and computer vision:


I believe that explaining is understanding.

Quote from David Goldstein: "Feynman was a truly great teacher. He prided himself on being able to devise ways to explain even the most profound ideas to beginning students. Once, I said to him, "Dick, explain to me, so that I can understand it, why spin one-half particles obey Fermi-Dirac statistics." Sizing up his audience perfectly, Feynman said, "I'll prepare a freshman lecture on it." But he came back a few days later to say, "I couldn't do it. I couldn't reduce it to the freshman level. That means we don't really understand it."

Some current and past courses that I have been involved in:

Professional Service

Life Outside Lab

When I am away from my workstation, I may be:

Send email to Hongyuan Mei.

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