4 papers
New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search
Zhiwei Zhang, Jiayu Shen, Niraj Kumar +1
Low Autocorrelation Binary Sequences (LABS) is a particularly challenging binary optimization problem which quickly becomes intractable in finding the global optimum for problem si…
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
Class imbalance is a critical issue in image classification that significantly affects the performance of deep recognition models. In this work, we first identify a network degener…
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
Guangpeng Fan, Fei Yan, Xiangquan Zeng +8
We have developed the world's first canopy height map of the distribution area of world-level giant trees. This mapping is crucial for discovering more individual and community wor…
Test-Time Compensated Representation Learning for Extreme Traffic Forecasting
Zhiwei Zhang, Weizhong Zhang, Yaowei Huang +1
Traffic forecasting is a challenging task due to the complex spatio-temporal correlations among traffic series. In this paper, we identify an underexplored problem in multivariate…