CS Events

Toward a Fairer Information Retrieval System

Event Type: PhD Defense
Speaker:

Ruoyuan Gao

Application of meta-learning on Facial Action Unit Detection and learning private-shared latent representation in multimodal VAE

Event Type: Qualifying Exam
Speaker:

Mihee Lee

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data

Event Type: Qualifying Exam
Speaker:

Qi Chang

Understanding Dictionaries at the Intersection of Theory and Practice

Event Type: PhD Defense
Speaker:

Alexander Conway

Design, Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics

Event Type: Qualifying Exam
Speaker:

Yanshi Luo

Inferring Time-delayed Hidden Causal Relations In Reinforcement Learning

Event Type: Qualifying Exam
Speaker:

Junchi Liang

Towards a Conversation Analysis Approach for Multicommunicating in Open-Domain, Retrieval-Based Conversational Agents

Event Type: Qualifying Exam
Speaker:

Carlos M. Muniz

Algebraic Methods and their Applications

Event Type: Qualifying Exam
Speaker:

Vishwas Bhargava

Real-time, Robust 6D Pose Estimation and Tracking for Dexterous Manipulation

Event Type: Qualifying Exam
Speaker:

Bowen Wen

Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification

Event Type: Qualifying Exam
Speaker:

Xin Dong

Learning Robust and Unbiased Conditional Generative Adversarial Networks

Event Type: Qualifying Exam
Speaker:

Ligong Han

Addressing Fault Tolerance for Staging Based Scientific Workflows

Event Type: PhD Defense
Speaker:

Shaohua Duan​

Explanation-Driven Learning-Based Models for Visual Recognition Tasks

Event Type: PhD Defense
Speaker:

Zachary Daniels

Stability of Transferred Learned Models for Planning and Reinforcement Learning

Event Type: Qualifying Exam
Speaker:

Liam Schramm

Towards understanding the approximation of Boolean functions by nonclassical polynomials

Event Type: PhD Defense
Speaker:

Abhishek Bhrushundi

Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion

Event Type: Qualifying Exam
Speaker:

Honglu Zhou

Tensegrity Robots: Control via Model-based RL and Modeling via a Differentiable Engine

Event Type: Qualifying Exam
Speaker:

Kun Wang

Foundations of Lattice-Based Cryptography

Event Type: Faculty Candidate Talk
Speaker:

Noah Stephens-Davidowitz, Simons Institute in Berkeley

Human Mobility Modeling Based on Heterogeneous Urban Sensing Systems

Event Type: PhD Defense
Speaker:

Zhihan Fang

Breaking and Building End-to-End Encrypted Systems

Event Type: Faculty Candidate Talk
Speaker:

Paul Grubbs, Cornell University