146 citations · 441 across the 17 of their papers we have counts for
17 papers
6G Network Business Support System
Ye Ouyang, Yaqin Zhang, Peng Wang +7
6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional percept…
Constrained Proximal Policy Optimization
Chengbin Xuan, Feng Zhang, Faliang Yin +1
The problem of constrained reinforcement learning (CRL) holds significant importance as it provides a framework for addressing critical safety satisfaction concerns in the field of…
A neural network-based scale-adaptive cloud-fraction scheme for GCMs
Guoxing Chen, Wei-Chyung Wang, Shixi Yang +3
Cloud fraction significantly affects the short- and long-wave radiation. Its realistic representation in general circulation models (GCMs) still poses great challenges in modeling…
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Jin Zhang +21
As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of interest is now devoted to deep learning-based solutions for this task. In this Mobile AI…
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna +93
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey Ignatov, Radu Timofte, Shuai Liu +35
The role of mobile cameras increased dramatically over the past few years, leading to more and more research in automatic image quality enhancement and RAW photo processing. In thi…
Fermi Level Depinning in Two-Dimensional Materials Using a Fluorinated Bilayer Graphene Barrier
Cunzhi Sun, Cheng Xiang, Rongdun Hong +4
Strong Fermi level pinning (FLP) - often attributed to metal-induced gap states at the interfacial contacts - severely reduces the tunability of the Schottky barrier height of the…
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Qian Yin, Qingyong Hu, Hao Liu +5
Satellite video cameras can provide continuous observation for a large-scale area, which is important for many remote sensing applications. However, achieving moving object detecti…
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images
Feng Zhang, Xueying Wang, Shilin Zhou +1
Rotated object detection in aerial images has received increasing attention for a wide range of applications. However, it is also a challenging task due to the huge variations of s…
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
Feng Zhang, Zaifeng Pan, Yanliang Zhou +4
Text analytics directly on compression (TADOC) has proven to be a promising technology for big data analytics. GPUs are extremely popular accelerators for data analytics systems. U…
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
Huanqin Wu, Wei Liu, Lei Li +4
Keyphrase Prediction (KP) task aims at predicting several keyphrases that can summarize the main idea of the given document. Mainstream KP methods can be categorized into purely ge…
Turnover-Adjusted Information Ratio
Feng Zhang, Xi Wang, Honggao Cao
In this paper, we study the behavior of information ratio (IR) as determined by the fundamental law of active investment management. We extend the classic relationship between IR a…
Arbitrary-Oriented Ship Detection through Center-Head Point Extraction
Feng Zhang, Xueying Wang, Shilin Zhou +2
Ship detection in remote sensing images plays a crucial role in various applications and has drawn increasing attention in recent years. However, existing arbitrary-oriented ship d…
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
Haisong Zhang, Lemao Liu, Haiyun Jiang +14
This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities. Com…
Structural phase transition of two-dimensional monolayer SnTe from artificial neural network
Jiale Zhang, Danni Wei, Feng Zhang +2
As machine learning becomes increasingly important in engineering and science, it is inevitable that machine learning techniques will be applied to the investigation of materials,…
Information Coefficient as a Performance Measure of Stock Selection Models
Feng Zhang, Ruite Guo, Honggao Cao
Information coefficient (IC) is a widely used metric for measuring investment managers' skills in selecting stocks. However, its adequacy and effectiveness for evaluating stock sel…
TADOC: Text Analytics Directly on Compression
Feng Zhang, Jidong Zhai, Xipeng Shen +5
This article provides a comprehensive description of Text Analytics Directly on Compression (TADOC), which enables direct document analytics on compressed textual data. The article…