Lijun Zhang

University of Massachusetts Amherst

Ph.D in Computer Science • 2019 — present

• Overall GPA: 4.0/4.0
• Relevant Courses: Advanced Algorithm (CS611), Computer Vision (CS670), Into. to Neural Network (CS682), Artificial Intelligence (CS683), Optimization for Computer Science (CS690OP), Database Design and Implementation (CS645)

Tongji University

M.Sc. in Software Engineering • 2016 — 2019

• Overall GPA: 4.63/5.0 • Average Score: 90.8/100
• TOEFL: 102 • GRE: V153 + Q170 + AW3.5
• Relevant Courses: Advanced Topics in Image Processing, Machine Learning Theories and Applications, Pattern Recognition, Software Modeling and Analysis, Distributed Computing, etc.

Tongji University

B.Eng. in Software Engineering • 2012 — 2016

• Overall GPA: 4.78/5.0 • Average Score: 92.8/100 • Rank: 1/160
• Relevant Courses: Digital Image Processing, Computer Graphics, Computer Vision, Virtual Reality, 3D Animation and Post Production, User Interface Interaction, Operating Systems, etc.

AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning

Lijun Zhang, Xiao Liu, Hui Guan, NeurIPS 2022 (25.6% acceptance rate).

The code is open-sourced.

A Tree-Structured Multi-Task Model Recommender

Lijun Zhang, Xiao Liu, Hui Guan, AutoML 2022 (19.2% acceptance rate).

The code is open-sourced.

Rethinking Hard-Parameter Sharing in Multi-Domain Learning

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan, ICME 2022 (29% acceptance rate).

Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone

Hui Guan, Umang Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, and Xipeng Shen, ICDM 2022 (20% acceptance rate).

Reuse-centric k-means configuration

Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim, accepted by Information Systems 2021.

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression

Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia, arXiv 2021.

SID-NISM: A Self-supervised Low-light Image Enhancement Framework

Lijun Zhang, Xiao Liu, Erik Learned-Miller, Hui Guan, arXiv 2020.

Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning

Lin Zhang*, Lijun Zhang, Xiao Liu, ect., accepted by ACM MM 2019 (~26.5% acceptance rate).

The code is open-sourced.

Image Exposure Assessment: A Benchmark and A Deep Convolutional Neural Networks Based Model

Lijun Zhang, Lin Zhang*, Xiao Liu, ect., in ICME, 2018, pp. 1-6.

Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model

Lijun Zhang, Lin Zhang*, and Lida Li, in ICONIP, 2017, pp. 583-593.

The code is open-sourced.

No reference Quality Assessment Algorithm for Image Exposure Based on Neural Network (Patent)

Lin Zhang, Lijun Zhang, Xiao Liu, and Ying Shen, announced by The Patent Office of the People's Republic of China.

Image quality assessment method, device, storage medium and electronic device (Patent)

Wendi Hu, Lin Zhang, and Lijun Zhang, announced by The Patent Office of the People's Republic of China.

Method and device for evaluating image exposure degree (Patent)

Wendi Hu, Fei Li, Lin Zhang, and Lijun Zhang, announced by The Patent Office of the People's Republic of China.

Travel Grant Award

Conf-AutoML • 2022

The Lori a. Clarke Scholarship

CICS, UMass Amherst • 2020 Recipient

Best Graduate Thesis (Top 5%)

Tongji University, Shanghai • 2019

Outstanding Graduates in Shanghai (Top 5%)

Education Committee, Shanghai • 2019

National Scholarship for Graduate Students (Top 5%)

Ministry of Education, China • 2018

Outstanding Achievement (Top 5%)

Computer Vision Lab, Tongji University • 2017

Best Undergraduate Thesis (Top 5%)

Tongji University, Shanghai • 2016

Outstanding Graduates in Shanghai (Top 5%)

Education Committee, Shanghai • 2016

Programming languages

Matlab, Python, C/C++

Packages & Tools

PyTorch, TensorFlow, Caffe, OpenCV