25 citations · 52 across the 7 of their papers we have counts for
7 papers
Unified learning-based lossy and lossless JPEG recompression
Jianghui Zhang, Yuanyuan Wang, Lina Guo +5
JPEG is still the most widely used image compression algorithm. Most image compression algorithms only consider uncompressed original image, while ignoring a large number of alread…
Bandwidth-efficient Inference for Neural Image Compression
Shanzhi Yin, Tongda Xu, Yongsheng Liang +4
With neural networks growing deeper and feature maps growing larger, limited communication bandwidth with external memory (or DRAM) and power constraints become a bottleneck in imp…
Experience-Based Evolutionary Algorithms for Expensive Optimization
Xunzhao Yu, Yan Wang, Ling Zhu +2
Optimization algorithms are very different from human optimizers. A human being would gain more experiences through problem-solving, which helps her/him in solving a new unseen pro…
Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections
Hongwei Tang, Yan Wang, Tongguang Wang +1
This work introduces a novel data-driven framework to formulate explicit algebraic Reynolds-averaged Navier-Stokes (RANS) turbulence closures. Recent years have witnessed a blossom…
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Pengfei Ding, Yan Wang, Guanfeng Liu +1
Semantic relation prediction aims to mine the implicit relationships between objects in heterogeneous graphs, which consist of different types of objects and different types of lin…
Adaptive Frequency Learning in Two-branch Face Forgery Detection
Neng Wang, Yang Bai, Kun Yu +3
Face forgery has attracted increasing attention in recent applications of computer vision. Existing detection techniques using the two-branch framework benefit a lot from a frequen…