Scholar
Chao Tian
Google Scholar ID: 3N72KDQAAAAJ
Department of Electrical and Computer Engineering, Texas A&M University
information theory
machine learning
data storage
optimization
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,881
H-index
23
i10-index
46
Publications
20
Co-authors
20
list available
Contact
GitHub
Open ↗
Publications
17 items
SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
2026
Cited
0
Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R
2026
Cited
0
Constructive Approaches to Perception-Aware Lossy Source Coding: Information-Theoretic Guidelines
2026
Cited
0
AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method
2026
Cited
0
Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints
2026
Cited
0
Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation
2026
Cited
0
Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
2026
Cited
0
Expected Revenue, Risk, and Grid Impact of Bitcoin Mining: A Decision-Theoretic Perspective
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
Best Paper Award, Workshop on Machine Learning and Compression @ NeurIPS 2024: “Transforms learn variable-order Markov chains in context”
Best Paper Award, first ‘Learn to compress’ workshop @ ISIT 2024: “Staggered quantizers for perfect perceptual quality”
2023–2024 IEEE Information Theory Society Distinguished Lecturer
2022 ECE Department Star Faculty Award
Coauthor of 2020–2021 IEEE Data Storage Best Student Paper Award (awarded in 2022)
2019 NetApp Faculty Fellowship
Coauthor of 2017 IEEE Jack Wolf ISIT Best Student Paper Award
2014 IEEE Data Storage Best Paper Award
AT&T Key Contributor Award (2010, 2011, 2013)
Liu-Memorial Award, Cornell University (2004, for excellence in graduate study and research)
Research Experience
Researcher at AT&T Labs-Research (formerly Shannon Labs) in communication and signal processing for approximately seven years
Faculty member at the University of Tennessee Knoxville for several years
Currently Professor in the Department of Electrical and Computer Engineering at Texas A&M University
Delivered a one-day short course on Large Language Models at Oncor Electric Delivery in April 2025
Offers an extended 3-day LLM short course through the TAMU Smart Grid Center
Co-authors
20 total
Jun Chen
Electrical and Computer Engineering, McMaster University
Suhas Diggavi
UCLA
Ruida Zhou
Amazon AGI
Shlomo Shamai (Shitz)
Distinguished Professor, Technion - Israel Institute of Technology
Co-author 5
Tie Liu
Texas A&M University
Co-author 7
Hua Sun
Associate Professor of EE, University of North Texas
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up