2026 Tian Lan: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12420	12058	5036	4809	204	7762

Overview

Tian Lan is affiliated with George Washington University in the United States and has contributed extensively to research in computer science and engineering. Their scholarly output encompasses over 110 publications in computer science and 39 in engineering, with a notable focus on artificial intelligence, computer networks and communications, and computer vision and pattern recognition.

The scientist's main fields of study include:

Computer Science
Engineering

Subfields Tian Lan has contributed to are:

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Information Systems
Electrical and Electronic Engineering

Their research topics cover areas such as privacy-preserving technologies in data, reinforcement learning in robotics, IoT and edge/fog computing, cloud computing and resource management, transportation and mobility innovations, optimization and search problems, and advanced malware detection techniques.

Main topics of work include:

Privacy-Preserving Technologies in Data
Reinforcement Learning in Robotics
IoT and Edge/Fog Computing
Cloud Computing and Resource Management
Transportation and Mobility Innovations
Optimization and Search Problems
Advanced Malware Detection Techniques

Tian Lan has published frequently in several venues:

arXiv (Cornell University)
IEEE Transactions on Network and Service Management
IEEE Transactions on Mobile Computing
IEEE/ACM Transactions on Networking
SSRN Electronic Journal

Recent research papers authored or co-authored by Tian Lan include:

"TNT: Target-driveN Trajectory Prediction" (2020, arXiv (Cornell University))
"Communication-Efficient Federated Learning with Adaptive Quantization" (2022, ACM Transactions on Intelligent Systems and Technology)
"Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering" (2022, 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS))
"AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning" (2022, IEEE Journal on Selected Areas in Communications)
"Efficient Video Instance Segmentation via Tracklet Query and Proposal" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))

Frequent collaborators of Tian Lan include Vaneet Aggarwal, Yongsheng Mei, Jiayu Chen, Jingdi Chen, and Guru Venkataramani, with collaboration counts ranging from 6 to 18 papers.

Best Publications

Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints

Wei Yu;T. Lan

952
Citations
Power Control in Wireless Cellular Networks

Mung Chiang;Prashanth Hande;Tian Lan;Chee Wei Tan

540
Citations
An Axiomatic Theory of Fairness in Network Resource Allocation

Tian Lan;David Kao;Mung Chiang;Ashutosh Sabharwal

500
Citations
Joint VM placement and routing for data center traffic engineering

Joe Wenjie Jiang;Tian Lan;Sangtae Ha;Minghua Chen

460
Citations
Multiresource allocation: fairness-efficiency tradeoffs in a unifying framework

Carlee Joe-Wong;Soumya Sen;Tian Lan;Mung Chiang

379
Citations
Discriminative Latent Models for Recognizing Contextual Group Activities

Tian Lan;Yang Wang;Weilong Yang;S. N. Robinovitch

369
Citations
A Hierarchical Representation for Future Action Prediction

Tian Lan;Tsung-Chuan Chen;Silvio Savarese

346
Citations
Power Control in Wireless Cellular Networks

Unknown

297
Citations
Discriminative figure-centric models for joint action localization and recognition

Tian Lan;Yang Wang;Greg Mori

282
Citations
Social roles in hierarchical models for human activity recognition

Tian Lan;Leonid Sigal;Greg Mori

277
Citations
TNT: Target-driveN Trajectory Prediction

Hang Zhao;Jiyang Gao;Tian Lan;Chen Sun

230
Citations
Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies

Yang Yue;Tian Lan;Anthony G.O. Yeh;Qing-Quan Li

225
Citations
TNT: Target-driveN Trajectory Prediction

Hang Zhao;Jiyang Gao;Tian Lan;Chen Sun

211
Citations
Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework

Carlee Joe-Wong;Soumya Sen;Tian Lan;Mung Chiang

210
Citations
Fuel cell-battery hybrid systems for mobility and off-grid applications: A review

Shuai Ma;Shuai Ma;Meng Lin;Tzu En Lin;Tian Lan

202
Citations
Beyond Actions: Discriminative Models for Contextual Group Activities

Tian Lan;Yang Wang;Weilong Yang;Greg Mori

202
Citations
Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage

Yu Xiang;Tian Lan;Vaneet Aggarwal;Yih-Farn R. Chen

132
Citations
Data-driven urban management: Mapping the landscape

Zeynep Engin;Justin van Dijk;Tian Lan;Paul A. Longley

100
Citations
Action Recognition by Hierarchical Mid-Level Action Elements

Tian Lan;Yuke Zhu;Amir Roshan Zamir;Silvio Savarese

84
Citations
Communication-Efficient Federated Learning with Adaptive Quantization

Unknown

75
Citations
MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization

Yongbo Li;Yurong Chen;Tian Lan;Guru Venkataramani

71
Citations
Similarity constrained latent support vector machine: an application to weakly supervised action classification

Nataliya Shapovalova;Arash Vahdat;Kevin Cannons;Tian Lan

71
Citations
Image retrieval with structured object queries using latent ranking SVM

Tian Lan;Weilong Yang;Yang Wang;Greg Mori

68
Citations
Retrieving actions in group contexts

Tian Lan;Yang Wang;Greg Mori;Stephen N. Robinovitch

66
Citations
Mining Suspicious Tax Evasion Groups in Big Data

Feng Tian;Tian Lan;Kuo-Ming Chao;Nick Godwin

58
Citations

Frequent Co-Authors

Vaneet Aggarwal Purdue University West Lafayette

Mung Chiang Purdue University West Lafayette

Suresh Subramaniam George Washington University

Greg Mori Simon Fraser University

Paul A. Longley University College London

Zhilin Li Hong Kong Polytechnic University

Ruby B. Lee Princeton University

Brent Fultz California Institute of Technology

Lin Zhong Yale University

Wei Yu University of Toronto

External Links

Personal website of Tian Lan

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