About
I am a Ph.D. candidate in the Department of Computer Science at
Purdue, advised by Prof. Jean
Honorio. Previously I obtained my B.S. degree in Computer Science from University of Rochester, where I was advised by Dr. Ji Liu.
My research focuses on developing statistically and computationally efficient algorithms with provable
guarantees in the field of structured prediction, community detection, and related applications.
Publications
-
Provable Guarantees for Sparsity Recovery with
Deterministic Missing Data Patterns
Chuyang Ke, Jean Honorio
(Under submission)
-
Exact Inference with Latent Variables in an
Arbitrary Domain
Chuyang Ke, Jean Honorio
(Under submission)
-
Dual Convexified Convolutional Neural Networks
Site Bai, Chuyang Ke, Jean Honorio
(Under submission)
-
Exact Partitioning of High-order Models with a Novel
Convex Tensor Cone Relaxation
Chuyang Ke, Jean Honorio
JMLR, 2022
-
Federated Myopic Community Detection with One-shot
Communication
Chuyang Ke, Jean Honorio
AISTATS, 2022
-
A Thorough View of Exact Inference in Graphs from
the Degree-4 Sum-of-Squares Hierarchy
Kevin Bello, Chuyang Ke, Jean Honorio
AISTATS, 2022
-
Exact Partitioning of High-order Planted Models with
a Tensor Nuclear Norm Constraint
Chuyang Ke, Jean Honorio
ICASSP, 2022
-
Information Theoretic Limits of Exact Recovery in
Sub-hypergraph Models for Community Detection
Jiajun Liang, Chuyang Ke, Jean Honorio
ISIT, 2021
-
Information-theoretic
Limits for Community Detection in Network Models
Chuyang Ke, Jean Honorio
NeurIPS, 2018
-
University of Rochester WMT 2017 NMT System
Submission
Chester Holtz, Chuyang Ke, Daniel Gildea
WMT, 2017
-
On The Projection Operator to A
Three-view Cardinality Constrained Set
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
ICML, 2017
-
Prognostics of
Surgical Site Infections Using Dynamic Health Data
Chuyang Ke, Yan Jin, Heather Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
Journal of Biomedical Informatics, 2017
Teaching
- Head TA, CS 182 Foundations of Computer Science, Purdue, Fall 2021
- TA, CS 373 Data Mining and Machine Learning, Purdue, Spring 2021
- TA, CS 578 Statistical Machine Learning, Purdue, Fall 2020
- TA, CS 182 Foundations of Computer Science, Purdue, Spring 2018
- TA, CS 182 Foundations of Computer Science, Purdue, Fall 2017
- TA, CSC 240 Data Mining, Univ. of Rochester, Spring 2017
- TA, MTH 150 Discrete Mathematics, Univ. of Rochester, Fall 2015
- TA, MTH 150 Discrete Mathematics, Univ. of Rochester, Spring 2015
- TA, MTH 150 Discrete Mathematics, Univ. of Rochester, Fall 2014
Academic Service
- Reviewer, AISTATS, 2022, 2023
- Reviewer, ICLR, 2021, 2022, 2023
- Reviewer, ICML, 2021, 2022
- Reviewer, NeurIPS, 2019, 2020, 2021, 2022
- Reviewer, IJCAI, 2020
- Reviewer, IEEE Transactions on Information Theory