World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
3595
World Ranking
11850
National Ranking
4832

Overview

Chao Tian is affiliated with Texas A&M University in the United States and has a diverse research portfolio primarily situated at the intersection of computer science and engineering. Their scholarly output spans over 190 publications, focusing on areas such as artificial intelligence, computer networks, and electrical engineering.

Their main fields of study include:

  • Computer Science
  • Engineering

Subfields of particular concentration are:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Molecular Biology

Chao Tian's research explores several core topics involving security and optimization techniques within computational systems. These include:

  • Cryptography and Data Security
  • Advanced Data Storage Technologies
  • Cooperative Communication and Network Coding
  • Privacy-Preserving Technologies in Data
  • Stochastic Gradient Optimization Techniques
  • Distributed Systems and Fault Tolerance
  • Wireless Communication Security Techniques

The scientist has contributed to multiple papers across various prestigious venues, with some notable examples being:

  • "NLRP3 inflammasome in endothelial dysfunction", 2020, published in Cell Death and Disease
  • "Role of acetylation in doxorubicin-induced cardiotoxicity", 2021, published in Redox Biology
  • "Ultracompact meta-imagers for arbitrary all-optical convolution", 2022, published in Light Science & Applications
  • "Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges", 2022, published in IEEE Journal on Selected Areas in Communications
  • "Exploring the capabilities and limitations of large language models in the electric energy sector", 2024, published in Joule

Chao Tian frequently collaborates with other researchers, with prominent coauthors including:

  • Ruida Zhou
  • Tie Liu
  • Zhe Zhou
  • Tao Guo
  • Dileep Kalathil

Their publications appear regularly in key venues, reflecting their research areas:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Journal on Selected Areas in Communications
  • IEEE Journal on Selected Areas in Information Theory
  • 2022 IEEE International Symposium on Information Theory (ISIT)

Best Publications

  • Apparatus and method for providing three dimensional media content

    Chao Tian;Vinay Anant Vaishampayan;Yifu Zhang

  • Capacity-Achieving Private Information Retrieval Codes With Optimal Message Size and Upload Cost

    Chao Tian;Hua Sun;Jun Chen

  • Characterizing the Rate Region of the (4,3,3) Exact-Repair Regenerating Codes

    Chao Tian

  • Successive Refinement Via Broadcast: Optimizing Expected Distortion of a Gaussian Source Over a Gaussian Fading Channel

    C. Tian;A. Steiner;S. Shamai;S.N. Diggavi

  • Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs

    Chao Tian;Birenjith Sasidharan;Vaneet Aggarwal;Vinay A. Vaishampayan

  • Private Retrieval, Computing and Learning: Recent Progress and Future Challenges.

    Sennur Ulukus;Salman Avestimehr;Michael Gastpar;Syed Ali Jafar

  • Multiple Description Quantization Via Gram–Schmidt Orthogonalization

    Jun Chen;Chao Tian;T. Berger;S.S. Hemami

  • Universal multiple description scalar quantization: analysis and design

    Chao Tian;S.S. Hemami

  • On Multistage Successive Refinement for Wyner–Ziv Source Coding With Degraded Side Informations

    Chao Tian;S.N. Diggavi

  • A new class of multiple description scalar quantizer and its application to image coding

    Chao Tian;S.S. Hemami

  • A generic transformation for optimal repair bandwidth and rebuilding access in MDS codes

    Chao Tian;Jie Li;Xiaohu Tang

  • A Generic Transformation to Enable Optimal Repair in MDS Codes for Distributed Storage Systems

    Jie Li;Xiaohu Tang;Chao Tian

  • Caching and Delivery via Interference Elimination

    Chao Tian;Jun Chen

  • Capacity-Achieving Private Information Retrieval Codes From MDS-Coded Databases With Minimum Message Size

    Ruida Zhou;Chao Tian;Hua Sun;Tie Liu

  • Successive Refinement for Hypothesis Testing and Lossless One-Helper Problem

    Chao Tian;Jun Chen

  • Remote Vector Gaussian Source Coding With Decoder Side Information Under Mutual Information and Distortion Constraints

    Chao Tian;Jun Chen

  • The Achievable Distortion Region of Sending a Bivariate Gaussian Source on the Gaussian Broadcast Channel

    Chao Tian;S. Diggavi;S. Shamai

  • Optimality and Approximate Optimality of Source-Channel Separation in Networks

    Chao Tian;Jun Chen;Suhas N. Diggavi;Shlomo Shamai

  • Physical sketching: Reconstruction and analysis of 3D objects from freehand sketches

    Chao Tian;Mark Masry;Hod Lipson

  • A Note on the Transformation to Enable Optimal Repair in MDS Codes for Distributed Storage Systems

    Jie Li;Xiaohu Tang

  • Symmetry, Outer Bounds, and Code Constructions: A Computer-Aided Investigation on the Fundamental Limits of Caching.

    Chao Tian

  • Capacity-Achieving Private Information Retrieval Codes with Optimal Message Size and Upload Cost

    Chao Tian;Hua Sun;Jun Chen

Frequent Co-Authors

Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Vinay A. Vaishampayan
Vinay A. Vaishampayan City University of New York
Sheila S. Hemami
Sheila S. Hemami Triple Ring Technologies (United States)
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Xiaohu Tang
Xiaohu Tang Southwest Jiaotong University
Vaneet Aggarwal
Vaneet Aggarwal Purdue University West Lafayette
James S. Plank
James S. Plank University of Tennessee at Knoxville
Jie Li
Jie Li Shanghai Jiao Tong University
Neil J. A. Sloane
Neil J. A. Sloane OEIS Foundation Inc.

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