Chenglin Wu

Data Driven Modeling of Interfacial Traction Separation Relations using Thermodynamic Consistent Neural Network (TCNN) pdf

Kenneth M. Liechti, Congjie Wei, Jiaxin Zhang, 2020, ArXiv.

Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics pdf

Congjie Wei, Chenglin Wu, Jiaxin Zhang, 2020, ArXiv.

Hadamard Codebook Based Deep Hashing pdf

Liujuan Cao, Rongrong Ji, Yan Wang, 2019, ArXiv.

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019

Sergio Escalera, Meysam Madadi, Marius Lindauer, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation

Liujuan Cao, Rongrong Ji, Xiaoshuai Sun, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization

Chengming Li, Zhou Zhao, Ying Shen, 2020, AAAI.

Data Driven Modeling of Interfacial Traction Separation Relations using a Thermodynamically Consistent Neural Network

Kenneth M. Liechti, Congjie Wei, Chenglin Wu, 2020, Computer Methods in Applied Mechanics and Engineering.

Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors

Yan Wang, Xiaoshuai Sun, Rongrong Ji, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track pdf

Chenglin Wu, Tianle Cai, Guolin Ke, 2021, ArXiv.