SCMA based resource management of D2D communications for maximum sum-revenue

no code implementations • 12 Oct 2018 • Linglin Kong, Li Ling, Xu Zhang

This problem is NP-hard, so we propose a heuristic algorithm based on semi-definite relaxation (SDR) programming to solve it.

Signal Processing

An AI-based, Multi-stage detection system of banking botnets

no code implementations • 18 Jul 2019 • Li Ling, Zhiqiang Gao, Michael A Silas, Ian Lee, Erwan A Le Doeuff

Banking Trojans, botnets are primary drivers of financially-motivated cybercrime.

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

6 code implementations • 10 Apr 2022 • Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, GuiBin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy

In this paper, we present the challenge setup and assessment of the state-of-the-art deep learning methods proposed by the participants during the challenge.

Action Detection Action Triplet Recognition +1

Evaluation of a Canonical Image Representation for Sidescan Sonar

1 code implementation • 18 Apr 2023 • Weiqi Xu, Li Ling, Yiping Xie, Jun Zhang, John Folkesson

In this paper, a canonical transformation method consisting of intensity correction and slant range correction is proposed to decrease the above distortion.

Template Matching