Qunwei Li's Homepage

I am Qunwei, and I received my Ph.D. degree in the EECS department at Syracuse University, and I was a member of the Sensor Fusion Lab headed by my advisor Prof. Pramod K. Varshney. I was a postdoc researcher at Lawrence Livermore National Lab, and then I joined Ant Financial.

My research interests primarily include:

human decision making/crowdsourcing
optimization for machine learning
adversarial deep learning

email: qli33@syr.edu

Recent News:

2019 Sep: Our paper "Modeling Human Brain Connectomes using Structured Neural Networks" got accepted at NeurIPS 2019 Workshop. The paper can be found here.
2019 May: Check out our new preprint "Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers" here.
2019 Aug: Our paper "On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning" got accepted at GlobalSIP 2019. The paper can be found here.
2019 May: Check out our new preprint "A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis" here.
2019 Apr: I was awarded All University Doctoral Prize and will be recognized at the Doctoral Hooding Ceremony in May 2019.
2019 Feb: Our paper "K-medoids Clustering of Data Sequences with Composite Distributions" got accepted to IEEE Transactions on Signal Processing. Preprint can be found here.
2018 Nov: I successfully defended my PhD thesis!!
2018 Nov: Check out our new preprint "MR-GAN: Manifold Regularized Generative Adversarial Networks" here.
2018 Aug: Our paper "Nonparametric Composite Hypothesis Testing in an Asymptotic Regime" got accepted at the IEEE Journal on Selected Topics in Signal Processing (Special Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing). Paper can be found here.
2018 Jul: Our paper "Decision Tree Design for Classification in Crowdsourcing Syestems" got accepted by 52nd Asilomar Conference on Signals, Systems and Computers. Preprint can be found here.
I was awarded the Best EECS department poster at 2018 poster competition on Research Day, Syracuse University. My poster was titled “Robust Decentralized Learning with Unreliable Agents”.