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Professor Song, lickho has published a book on probability and random variables in English

Professor Song, lickho has published a book on probability and random variables in English.

The book is a translated version of Prof. Song’s book ‘Theory of Random Variables’ in Korean, which was selected as an ‘Excellent Book of Basic Sciences’ by the National Academy of Sciences and the Ministry of Education in 2020.

You can find more information on the book below:

Title: Probability and Random Variables: Theory and Applications

Authors: Iickho Song, So Ryoung Park, Seokho Yoon

Summary:

This book discusses diverse concepts and notions – and their applications – concerning probability and random variables at the intermediate to advanced level. It explains basic concepts and results in a clearer and more complete manner than the extant literature. In addition to a range of concepts and notions concerning probability and random variables, the coverage includes a number of key advanced concepts in mathematics. Readers will also find unique results on e.g. the explicit general formula of joint moments and the expected values of nonlinear functions for normal random vectors. In addition, interesting applications of the step and impulse functions in discussions on random vectors are presented. Thanks to a wealth of examples and a total of 330 practice problems of varying difficulty, readers will have the opportunity to significantly expand their knowledge and skills. The book is rounded out by an extensive index, allowing readers to quickly and easily find what they are looking for.

Given its scope, the book will appeal to all readers with a basic grasp of probability and random variables who are looking to go one step further. It also offers a valuable reference guide for experienced scholars and professionals, helping them review and refine their expertise.

Link: https://link.springer.com/book/10.1007/978-3-030-97679-8

EE Prof. Hyun Myung’s Team wins the 2nd Prize among Academia in IEEE ICRA 2022 SLAM Challenge

[Hyungtae Lim (PhD student), event officials, Prof. Hyun Myung, from the left)

Title: EE Prof. Hyun Myung’s Team wins the 2nd Prize in Academia at the Future of Construction Workshop in IEEE ICRA 2022

Team QAIST (advisor: Prof. Hyun Myung) wins the 2nd prize at HILTI Challenge 2022 held in Future of Construction: Build Faster, Better, Safer – Together with Robots Workshop at 2022 IEEE International Conference on Robotics and Automation (ICRA) held in Philadelphia, USA during May 23-27, 2022.

HILTI SLAM Challenge 2022 is organized by HILTI Corp. in Liechtenstein, Oxford Robotics Institute in Oxford University, and Robotics and Perception Group in ETH Zürich.

This Challenge is a competition for accurate mapping by developing simultaneous localization and mapping (SLAM) algorithms that can robustly operate even in construction environments and degeneracy environments such as narrow indoor environments that lack features. Among the 40 teams around the world, team QAIST wins the 2nd prize in the Academia. They will receive USD 3,000 as a cash prize.

Details on this good news are as follows:

l Name of Conference: 2022 IEEE International Conference on Robotics and Automation (ICRA)

l Name of Workshop and Date: Future of Construction: Build Faster, Better, Safer – Together with Robots Workshop, 23rd, May, 2022

l Prize: 2nd Prize among Academia (USD 3,000)

l Participants: Team QAIST (Quatro + KAIST). Hyungtae Lim, Daeboem Kim, Beomsoo Kim, Seungwon Song, Alex Junho Lee, Seungjae Lee, and Prof. Hyun Myung

P.h.D. Candidate Gong, Jinu (Prof. Kang, Joonhyuk(Head, School of EE)) Wins IEEE DSLW Best Student Paper Runner-up Award

[(from the left) Professor Kang Joonhyuk, Gong Jinu (Ph.D candidate)]

PhD candidate Gong, Jinu from EE Professor Kang, Joonhyuk’s lab won the Best Student Paper Runner-up Award at the 2022 IEEE Data Science and Learning Workshop. He has been chosen to receive the award for the contribution made in the presented paper “Forget-SVGD: Particle-Based Bayesian Federated Unlearning”.

Details on this good news are as follows:

Venue: 2022 IEEE Data Science and Learning Workshop

Date: May 22 ~ 23, 2022

Award: The Best Student Paper Runner-up Award

Authors: Jinu Gong, Osvaldo Simeone*, Rahif Kassab*, and Joonhyuk Kang

(*King’s College London)

Paper: Forget-SVGD: Particle-Based Bayesian Federated Unlearning

COVID-19 precautions rendered this year’s conference online. The DLSW, a successor to the IEEE Data Science Workshop, has been held since 2021 by IEEE to encompass signal processing, statistics, machine learning, data mining, and computer vision as an international academic venue. (acceptance rate: 26.7%)

CVPR 2022 Oral Presentation from Professor Chang D. Yoo’s Lab, SoftGroup for 3D Instance Segmentation on Point Clouds

Title of the paper: SoftGroup for 3D Instance Segmentation on Point Clouds

Conference: The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022

Date & Location: June 21, 2022 (Tue) / New Orleans, Louisiana, USA

[(from the left) Professor Chang D. Yoo, Vu Van Thang (Ph.D candidate), Kookhoi Kim (Master’s candidate)]

3D datasets are being utilized in various fields recently such as autonomous driving, robotics, and AR. 3D point clouds are data comprised of sets of 3D points and this study developed SoftGroup, a precision object segmentation technology based on 3D point cloud. SoftGroup allows each point to be associated with multiple classes to mitigate problems stemming from semantic prediction errors and surpasses prior state-of-the-art methods by more than 8% in terms of performance. Allowing for 3D instance segmentation of point clouds that contain more precise information of 3D space compared to traditional photographs, SoftGroup shows high potential for utilization in fields that leverage 3D point clouds.

PH.D. Zhiyong Li (Prof. Hoi-Jun Yoo),win Outstanding Student Design Award on 22 IEEE CICC

[Award ceremony picture, Li Zhiyong, left side]

KAIST EE Ph.D. student Zhiyong Li (Advised by Prof. Hoi-Jun Yoo) won the Outstanding Student Design Award at the 2022 IEEE Custom Integrated Circuits Conference (CICC). The conference was held in California, U.S. from April 24th to 27th. CICC is an international conference held annually by IEEE. Ph.D. student Zhiyong Li has published a paper titled “An 0.92mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache”.

Details are as follows. Congratulations once again to Ph.D. student Zhiyong Li and Professor Hoi-Jun Yoo!

Conference: 2022 IEEE Custom Integrated Circuits Conference (CICC)

Date: April 24-27, 2022

Award: Intel & Analog Devices Outstanding Student Paper Award

Authors: Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, and Hoi-Jun Yoo (Advisory Professor)

Paper Title: An 0.92mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache

EE Prof. Myoungsoo Jung’s team develops the world’s first nonvolatile computer maintaining execution states even power fails

[ Prof. Myounsoo Jung, KAIST Ph.D. Candidates (Miryeong Kwon, Sangwon Lee, and Gyuyoung Park), from left]

Our department’s Professor Myounsoo Jung’s research team has developed the world’s first nonvolatile computer maintaining execution states without power supply when power fails.

The research team has developed the ‘ Lightweight Persistence- Centric system ( LightPC)’, which uses nonvolatile memory as a main memory, that can maintain all execution states regardless of power supply state. LightPC outperforms compared to conventional volatile computing systems by 4.3x while reducing power consumption by 73%, and providing 8 times larger memory capacity.

Nonvolatile memory is a type of computer memory that can retain stored information even after power is removed. It provides larger capacity and consumes lower power compared to DRAM which is volatile memory, but, nonvolatile memory provides lower write performance. Because of this shortcoming, existing nonvolatile memory, such as Intel’s Optane memory, is used with DRAM. However a computer with the existing nonvolatile memory system has a problem that data in DRAM needs to be transferred to nonvolatile memory or SSD in order to retain execution states.

To solve this problem, the research team developed processor and memory controller that raise nonvolatile memory’s performance and also developed OS for maintaining all execution states of the nonvolatile memory based computer. With our proposed techniques even if power is suddenly cut off, LightPC can restore the state before the power loss. The research team implemented the proposed LightPC on their FPGA-based system board prototype and verified the effectiveness of LightPC.

This work is expected to be utilized in a variety of ways, such as data centers and high-performance computing, as it can provide large-capacity memory, high performance, low power and service reliability.

The KAIST Ph.D. Candidates (Miryeong Kwon, Sangwon Lee, and Gyuyoung Park) participate in this research, and the paper (LightPC: Hardware and Software Co-Design for Energy-Efficient Full System Persistence) will be reported in June at ‘International Symposium on Computer Architecture, (ISCA) 2022’.

The research was supported by the MEMRAY, Ministry of Science & ICT (MSIT), National Research Foundation of Korea (NRF), and Institute of Information & Communications Technology Planning & Evaluation (IITP).

More information on this paper can be found at CAMELab website (http://camelab.org) and YouTube (https://youtu.be/mlF7W_RmYRk). This result has been reported by domestic media as follow.

[Link]

https://news.kaist.ac.kr/newsen/html/news/?mode=V&mng_no=20111&skey=&sval=&list_s_date=&list_e_date=&GotoPage=1

EE Professor Yoon, Young-Gyu and Joint Research Team Develop High-performance Simultaneous Detector of Multiple Markers in Tissues

[Prof. Yoon, Young-Gyu, Kim, Jeewon (PH.D candidate), Prof. Chang, Jae-Byum From Left: ]

KAIST EE Professor Yoon, Young-Gyu’s and Materials Science and Engineering Professor Chang, Jae-Byum’s team conducted a joint research published as PICASSO, a simultaneous detector of multiple markers capable of capturing five times as many protein markers in comparison with existing techniques.

Recent studies have shown that protein markers in the cancer tissues manifest differently across cancer patients. Related research findings indicate that such a difference determines the cancer progress as well as reactivity to anti-cancer drugs. This is why detecting multiple markers, also known as multiplexed imaging, from cancer tissues is deemed essential.

The research team’s development, PICASSO, is capable of detecting 15 – and at most 20 – protein markers at once via fluorescence imaging. This development was made possible by utilizing fluorophores exhibiting similar emission spectra simultaneously and accurately isolating each type of the fluorophores with blind source separation. Said technique does not require specialized reagent or expensive equipment and is thus considered a promising method of better diagnosis of cancer and drug development as well as protein marker discovery.

EE PH.D student Kim, Jeewon and Materials Science and Engineering student Seo, Junyoung, and alumnus Sim, Yeonbo have led the research as first authors, and their paper was published in Nature Communications, book 13, May as “PICASSO allows ultra-multiplexed fluorescence imaging of spatially overlapping proteins without reference spectra measurement”.

EE PhD Soo Ye Kim and Sanghyun Woo selected as 2021 Google PhD Fellow.

KAIST PhD candidates Soo Ye Kim from the School of Electrical Engineering (advisor: Prof. Munchurl Kim), Sanghyun Woo from the School of Electrical Engineering (advisor: Prof. In So Kweon), and Hae Beom Lee from the Kim Jaechul Graduate School of AI (advisor: Prof. Sung Ju Hwang) were selected as recipients of the 2021 Google PhD Fellowship.

< The 2021 Google PhD fellow Soo Ye Kim, Sanghyun Woo, and Hae Beom Lee (from left) >

The Google PhD Fellowship is a scholarship program that recognizes outstanding graduate students for their exceptional and innovative research in areas relevant to computer science and related fields. This year, 75 students from around the world have received the fellowship. Selected fellows receive a $10,000 scholarship and an opportunity to discuss research along with feedback from experts at Google.

Soo Ye Kim and Sanghyun Woo were named fellows in the field of “Machine Perception, Speech Technology and Computer Vision”. Soo Ye Kim was selected for her outstanding achievements in deep learning based super-resolution, and Sanghyun Woo was selected for his outstanding achievements in the field of computer vision. Hae Beom Lee was named a fellow in the field of “Machine Learning” for his outstanding achievements in meta-learning.

Soo Ye Kim’s research achievements include the formulation of novel methods for super-resolution and HDR video restoration and deep joint frame interpolation and super-resolution methods. Many of her works have been presented in leading conferences in computer vision and AI such as CVPR, ICCV, and AAAI. In addition, she has been collaborating as a research intern with the Vision Group Team at Adobe Research to study depth map refinement techniques.

Sanghyun Woo’s research achievements include an effective deep learning model design based on the attention mechanism and learning methods based on self-learning and simulators. His works have been also presented in leading conferences such as CVPR, ECCV, and NeurIPS. In particular, his work on the Convolutional Block Attention Module (CBAM) which was presented at ECCV in 2018 has surpassed over 2700 citations on Google Scholar after being referenced in many computer vision applications. He was also a recipient of Microsoft Research PhD Fellowship in 2020.

Prof. Joonhyuk Kang, the head of KAIST EE, congratulated and encouraged Sanghyun Woo for receiving the fellowship by carrying out it as a research personnel for military service and Soo Ye Kim for great achievement through industrial cooperations sprightly.

Due to the COVID-19 pandemic, the award ceremony was held virtually at the Google PhD Fellow Summit from August 31st to September 1st. The list of fellowship recipients is displayed on the Google webpage.

(Link: https://research.google/outreach/phd-fellowship/recipients/ )

[Research achievements of Soo Ye Kim: Deep learning based joint super-resolution and inverse tone-mapping framework for HDR videos]

[Research achievements of Sanghyun Woo: Attention mechanism based deep learning models]

Prof. Seunghyup Yoo, wins the Merck Award at the 2021 International Meeting on Information Display (IMID 2021)

EE Prof. Seunghyup Yoo, wins the Merck Award at the 2021 International Meeting on Information Display (IMID 2021)

Professor Seunghyup Yoo of our EE Faculty was honored with the Merck Award at the International Meeting on Information Display (IMID) 2021 held at COEX, Seoul from August 25 to 27.

The Merck Awards have been given at IMID hosted by the Korean Information Display Society (KIDS) since 2004, the 100th anniversary of Merck’s liquid crystal research. To encourage innovative and excellent research and development in the display field, this award has been given to selected researchers with outstanding achievements in display technology.

Professor Seunghyup Yoo has achieved excellent research results with academic depth and industrial impact in the fields of displays and lighting devices based on organic light-emitting diodes (OLEDs) as well as flexible and wearable electronics. In particular, he conducted systematic research to achieve the ultimate efficiency of OLEDs, which includes the result such as bringing the efficiency of OLED to the level of state-of-the-art inorganic LEDs. Recently, he is pioneering a new field in which wearable IT, optical technology, and medical technology are converged to expand the application fields of OLEDs and organic electronic devices to healthcare. He has also been contributing to the international societies such as the Korea Information Display Society (KIDS) and the Optical Society of America (OSA) for advance and spread of display technologies.

Meanwhile, Merck held an online meeting called Merck Science Connect in line with IMID 2021, and “The power of displaying, as an interface” can be viewed at the following link, in which Professor Seunghyup Yoo participated as a panel.

(link) https://youtu.be/HYwvUjMu_qo

[2021 Merck Arawd (Prof.Seunghyup Yoo , KAIST) and Merch young scientists winners]

[Prof. Seunghyup Yoo]

Prof. Munchurl Kim, Research Grand Award for 2021 KAIST Research Day

Professor Munchurl Kim is Awarded Research Grand Award for 2021 KAIST Research Day

On the past 25th of May, our department’s professor Munchurl Kim was awarded the Grand Award for the 2021 KAIST Research Day. Professor Changho Suh and

Professor Hoi-Jun Yu were also selected for the top 10 R&D research achievements along with various other achievements being introduced in the press.

Professor Kim’s research was highly recognized for AI based methods of enhancing low resolution video to high resolution quality video and has greatly contributed to video and resolution restoration in the field of AI.

We congratulate our department’s students and professors for their research and awards.

Website link : https://www.etnews.com/20210525000246

http://www.kyosu.net/news/articleView.html?idxno=67974

http://www.ccnnews.co.kr/news/articleView.html?idxno=220028

Archives: 연구 > 연구성과

Professor Song, lickho has published a book on probability and random variables in English

EE Prof. Hyun Myung’s Team wins the 2nd Prize among Academia in IEEE ICRA 2022 SLAM Challenge

P.h.D. Candidate Gong, Jinu (Prof. Kang, Joonhyuk(Head, School of EE)) Wins IEEE DSLW Best Student Paper Runner-up Award

CVPR 2022 Oral Presentation from Professor Chang D. Yoo’s Lab, SoftGroup for 3D Instance Segmentation on Point Clouds

PH.D. Zhiyong Li (Prof. Hoi-Jun Yoo),win Outstanding Student Design Award on 22 IEEE CICC

EE Prof. Myoungsoo Jung’s team develops the world’s first nonvolatile computer maintaining execution states even power fails

EE Professor Yoon, Young-Gyu and Joint Research Team Develop High-performance Simultaneous Detector of Multiple Markers in Tissues

EE PhD Soo Ye Kim and Sanghyun Woo selected as 2021 Google PhD Fellow.

Prof. Seunghyup Yoo, wins the Merck Award at the 2021 International Meeting on Information Display (IMID 2021)

Prof. Munchurl Kim, Research Grand Award for 2021 KAIST Research Day

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