Emaad Manzoor

I am a fourth year PhD student in Information Systems at the Heinz College of Carnegie Mellon University.

I develop scalable machine-learning methods that operate on data with complex structure, such as networks and text. I use these methods to study persuasion in argumentative dialogue.

Email: emaad@cmu.edu

Publications

CORE computer science conference rankings: WWW, KDD = A*.

• • Expanding Taxonomies with Implicit Edge Semantics
  • Emaad Manzoor, Dhananjay Shrouty, Rui Li, Jure Leskovec
  • WWW 2020 [paper][project website] (coming soon)
  • Press: VentureBeat, Pinterest Engineering Blog
• • xStream: Outlier Detection in Feature-Evolving Data Streams
  • Emaad Manzoor, Hemank Lamba, Leman Akoglu
  • KDD 2018 [paper][project website]
• • RUSH! Targeted Time-limited Coupons via Purchase Forecasts
  • Emaad Manzoor, Leman Akoglu
  • KDD 2017 [paper][poster][code]
• • Fast Memory-efficient Anomaly Detection in Streaming Heterogenous Graphs
  • Emaad Manzoor, Sadegh M. Milajerdi, Leman Akoglu
  • KDD 2016 [paper][project website]
  • Assigned course reading in: UIUC F’20: Adv. Computer Security
  • Assigned course reading in: UIUC W’19: Adv. Data Mining

Working Papers

• • Interpretable Deep Learning for Text Exploration
  • Dokyun Lee*, Emaad Manzoor*, Zhaoqi Cheng*
  • Under second-round review at Marketing Science [preprint]

Work in Progress

• • Persuasion via Credibility Signals in Argumentative Dialogue
  • Emaad Manzoor, George Chen, Dokyun Lee, Michael D. Smith

Patents Filed

• • Expanding Taxonomies with Implicit Edge Semantics
  • Emaad Manzoor, Dhananjay Shrouty, Rui Li, Jure Leskovec
  • Patent filed October 2019 [Google Patents]
• • Scheduling Broadcasts in a Network of Timelines
  • Emaad Ahmed Manzoor, Panos Kalnis
  • Patent filed February 2015 [manuscript][Google Patents]

(*equal contribution)