Search Results for author: Bo Song

Found 6 papers, 0 papers with code

Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty

no code implementations5 Mar 2020 Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Chao Zhou, Bo Song

The experiment results show that the Dense2Sparse method obtained higher expected reward compared with the ones using standalone dense reward or sparse reward, and it also has a superior tolerance of system uncertainty.

Evidence for Bosonization in a three-dimensional gas of SU($N$) fermions

no code implementations27 Dec 2019 Bo Song, Yangqian Yan, Chengdong He, Zejian Ren, Qi Zhou, Gyu-Boong Jo

Blurring the boundary between bosons and fermions lies at the heart of a wide range of intriguing quantum phenomena in multiple disciplines, ranging from condensed matter physics and atomic, molecular and optical physics to high energy physics.

Quantum Gases Other Condensed Matter Quantum Physics

Correlated Anomaly Detection from Large Streaming Data

no code implementations19 Dec 2018 Zheng Chen, Xinli Yu, Yuan Ling, Bo Song, Wei Quan, Xiaohua Hu, Erjia Yan

Correlated anomaly detection (CAD) from streaming data is a type of group anomaly detection and an essential task in useful real-time data mining applications like botnet detection, financial event detection, industrial process monitor, etc.

Event Detection Group Anomaly Detection

Fast Botnet Detection From Streaming Logs Using Online Lanczos Method

no code implementations19 Dec 2018 Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan

Botnet, a group of coordinated bots, is becoming the main platform of malicious Internet activities like DDOS, click fraud, web scraping, spam/rumor distribution, etc.

A Revisit of Infinite Population Models for Evolutionary Algorithms on Continuous Optimization Problems

no code implementations26 Sep 2015 Bo Song, Victor O. K. Li

Then, in order to analyze infinite population models, we build an analytical framework based on convergence in distribution of random elements which take values in the metric space of infinite sequences.

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