Yue Ning

Assistant Professor, CS@Stevens Institute of Technology, Data Science | Machine Learning | AI applications

[Yue Ning @Yue_Ning]

Stop by our poster today at 5 pm CST at #NeurIPS23 to discuss ICD coding and contrastive learning! #AIforhealth

[Yue Ning @Yue_Ning]

@profnaren @IEEEorg Congratulations Naren!

[Yue Ning @Yue_Ning]

If you happen to be at #KDD2022, please stop by our talk on "Robust Event Forecasting with Spatiotemporal Confounder Learning" in the deep learning applications session. Room 208A/B. 10AM - 12PM Wednesday 8/17

[Yue Ning @Yue_Ning]

I just cannot ignore this work. #CVPR2022

[Yue Ning @Yue_Ning]

My first PhD student Songgaojun (Amy) Deng defended her thesis on modeling and understanding societal events via graph neural networks. Congratulations Dr. Deng! Thanks to all her committee members Wendy Hui Wang, Shusen Wang, Rong Liu, and @DMfun !

[SIGKDD 2026 @kdd_news]

Call for Student Travel Awards

Deadline: June 5th 11:59 PM (EST)

How to apply: https://t.co/FaUkeAHl28

[Yue Ning @Yue_Ning]

@profnaren @FollowStevens Thank you, Naren!

[Yue Ning @Yue_Ning]

I am excited to receive an @NSF CAREER award to explore deep interpretable methods for predicting temporal events in health informatics and political science with dynamic and heterogeneous data.
https://t.co/uJIq7t72Yy

[U.S. National Science Foundation @NSF]

Is a Ph.D. in computer sciences the next step in your career?

A new NSF fellowship will pair you with a mentor, help you apply to grad school, and provide a stipend and tuition.

Learn more ⬇️
https://t.co/PmbjyO9bpJ

[Yue Ning @Yue_Ning]

This paper presents a new framework of fusing semantic embeddings of text with relational embeddings of knowledge graphs for multi-event and multi-actor predictions. @DMfun

https://t.co/fRNEeecahq

[Yue Ning @Yue_Ning]

#KDD2020 is kicking off. Check out my student's paper presentation in the "Mining Text, Web, Social Media 2" session (https://t.co/sswTaOLpue) at 10AM (PDT) tomorrow (Aug. 26).

[Yue Ning @Yue_Ning]

#KDD2020 is kicking off. Check out my student's paper presentation in the "Mining Text, Web, Social Media 2" session (https://t.co/sswTaOLpue) at 10AM (PDT) tomorrow (Aug. 26).

[Yue Ning @Yue_Ning]

Check out our new ICWSM2020 paper on reducing identity bias from toxic comment classification.

PDF: https://t.co/z8ECQzN82d
Video on youtube: https://t.co/XUfInM9rbY

This was a collaboration with Prof @feng_mai and Ameya (an incoming Princeton CS undergraduate).

[Yue Ning @Yue_Ning]

My PhD student's first-authored paper, "Learning Dynamic Context Graphs for Predicting Social Events", was accepted by #KDD2019. This is her first paper in her first year. Thanks to our collaborator @DMfun and see you in Alaska!

[Yue Ning @Yue_Ning]

Congratulations @DMfun !

[Google AI @GoogleAI]

Congratulations to the recipients of the 2018 Google Research Awards! This round we received over 900 proposals from universities across the globe, covering a diverse set of research areas such as HCI, machine perception, distributed computing and more. https://t.co/7jWj3Gsc1E

[Naren Ramakrishnan @profnaren]

Very cool animations for ML concepts: https://t.co/jlHzq7sXQN. cc: @tripswithtires, @nik012190, @ysrknshl

[Yue Ning @Yue_Ning]

@QianZhao3 @grouplens Congrats!

[Yue Ning @Yue_Ning]

Interesting article about intelligent machines https://t.co/An6ZIqbIbL

[Jimmy Lin @lintool]

Here's my rant for the day. https://t.co/dbBFqXPfum

[Huzefa Rangwala @DMfun]

at the #SIAMSDM18 keynote, @TreyIdeker discussed need for interpretable machine models for genotype->phenotype to understand biological systems. See paper: "Using deep learning to model the hierarchical structure and function of a cell" - https://t.co/snF8cj72NQ

[Huzefa Rangwala @DMfun]

Come check out my student Zhiyun Ren's (in collaboration with Prof. Xia Ning at IUPUI) work on educational data mining #edm at #SIAMSDM18 today, Friday on #MayThe4th at 1:30 pm: https://t.co/hauG8tnG3R