Welcome to Empas lab. 

Announcements

• Acceptance of a conference paper- 2024.02.26

I am trilled that our paper titled "A novel method to analysis the wafer defect patterns using an image matching algorithm based on deep neural networks" has been accepted in the Work-in-Progress (WIP) category at the 61th Design and Automation (DAC) conference, taking place on June 23-27th, 2024 at Moscone Center West in San Francisco, California. Although the paper is not selected into regular research papers, the result of the first year's research with SK Hynix are satisfactory. Better results can be expected later. Thanks for my advised students, Youngwook Kwon and Sumin Oh!! 

• Support of AI cloud machine from NIPA-2024.02.10

Fortunately, one AI clould machine (>20 TFLOPS) will be supported from NIPA this year. 

• Registration of a domestic patent - 2024.01.29

A domestic patent titled as "SYSTEMS FOR IMPLEMENTING BINARY NEURAL NETWORKS SUITABLE FOR PYRAMID STRUCTURE (피라미드 구조에 적합한 이진 뉴럴 네트워크 구현 시스템)" by HyunJin Kim has been registered. (Patent Number: 10-2632473)

• Acceptance of a paper - 2023. 12.22

A paper titled as "Low-Biased Probabilistic Multipliers using Complementary Inaccurate Compressors" by HyunJin Kim and Alberto A. Del Barrio has been accepted in Digital Signal Processing. This paper proposes new probabilistic multipliers using complementary inaccurate compressors for achieving better error characteristics. The hardware cost analysis and application for neural networks were also presented in this paper. For this acceptance, we have a long journey. This new can be a good gift for this Christmas vacation.

• Welcome to new member

Jisoo Shin and Yongbean Park will join a new M.S. candidate and an undergraduate researcher.  They will start their research from this winter vacation. Welcome sincerely!!

• Acceptance of a paper - 2023. 12. 13

A paper titled as "1-D SPATIAL ATTENTION IN BINARIZED CONVOLUTIONAL NEURAL NETWORKS" by HyunJin Kim, Jungwoo Shin, Wansoo Kim, Alberto A. Del Barrio has been accepted in ICASSP (IEEE International Conference on Acoustics, Speech and Signal Processing) 2024. This is the flagship conference hosted by IEEE Signal Processing Society. About 6,000 papers were submitted to this conference, and it has 45% acceptance rate. 

• Participation in K-Chips Workshop - 2023.11

From Nov. 1-3, 2023, several student researchers and Prof. Kim participated in K-Chips Workshop in Jeju. Along with presentation and educational courses, we enjoyed beautiful weather and remarkable ocean views. Besides, delicious foods were very good. You can see several in this link (➡️pictures). 

• New Funds from Korea governments - 2023.07

From July 2023, new funds from Korea government (July. 2023~Dec. 2025) begin, where methods and user interface for building supervised data in wafer testing will be developed. (민관공동투자 반도체 고급인력 양성사업 주관기관 선정)

• 4-th CKAIA (4회 인공지능학술대회)- 2023.07

Our all members attended CKAIA2023 at Yeosu, South Korea and presented a poster titled as “ResidualViT: Better general-purpose Vision Transformer combined with CNN.” Notably, we can have good chance to understand LLM and generative AI. Besides, beautiful scenery of conference site and good dishes were another good things. 

• Best Paper Award at the 24-th Korea Test Conference

Our members won the Best Paper Award at the 24th Korea Test Conference for their paper titled as Study on Wafer Failure Pattern Detection using Image Matching Algorithms. Congratulation.

• 9-th Open Robotics Seminar - 2023.03

Five researchers attended the 9-th Open Robotics Seminar, held at Robotis Inc., Seoul. There were 13 sessions for introducing ROS applications. Picture

• 30th Korean Conference on Semiconductors (KCS 2023)- 2023.02

Eight researchers attended KCS 2023, held at High-One Resort, Kangwon-do. There were interesting topics including Processing-In-Memory, Hardware Accelerators, etc.  At free time, they enjoyed beautiful scenery and good sightseeing. Picture

• Movements of our AI Servers - 2023.02

We have five servers for machine learning and semiconductor design. These servers will be moved to our department's specific server room. We are happy to avoid noisy sound and hot air from them. 

• Welcome to a New Member - 2023.02

Se-Jin Kwon, an undergraduate student, joined our EmPasLab. She has interest in digging the details and secrets of machine learning. 

• Successful submission to ICML 2023 - 2023.01

At this time, Prof. Kim and Jung-Woo Shin have submitted their BNN (binarized neural networks) works to ICML 2023. ICML is one of top-tier AI conferences. Let's cross finger. 

• Studies with student researchers - 2023.01

During this winter vacation, several ideas and noticeable subjects for artificial intelligence and machine learning will be researched by student researchers and Prof. Kim. Notably, visual transformer, reinforcement learning for handling robot arm, TinyML, RISC-V based Posit arithmetic, BNNs are being focused. Good Luck!!

• Welcome to a New Member - 2022.12

Young-Wook Kwon, a master candidate, joined our EmPasLab. He has interest in developing new visual transformer and inventing ideas for TinyML. 

• New Funds from SK Hynix - 2021.12

From December 2022, new funds from SK Hynix (Dec. 2022~Nov. 2024) begin, where methods and user interface for building supervised data in wafer testing will be developed. 

• Successful submission to ICCAD TinyML Contest

At this time, advised students and Prof. Kim have submitted their TinyML works to ICCAD TinyML Contests. In a small embedded board, binarized neural networks can be implemented, which significantly reduces hardware costs in terms of latency and parameter storage. In this work, this team can fully understand practical implementation of TinyML and methods about how to debug TinyML results. 

• Studies with student researchers (titled as BNNs for sound)

At this time, Prof. Kim and other advised students have studied binarized neural networks (BNNs) from this summer. For 1-D data (e.g. sound), BNNs are a very realistic form to be implemented on lightweight MCUs. Besides, their low latency and low power consumption can extend the applicable area of neural networks. 

• Publication in arXiv - 2022. 06. 26

On June 26, 2022, a manuscript titled as “CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps” has been uploaded in arXiv.

• A ceremony called Open Lab

On May 23/24, 2022, there is an open lab ceremony to explain the life of graduate schools and method for achieving research contributions. (#403, 2nd Engineering building, Dankook University) 

• ARM Academic Access (AAA) application

Prof. HyunJin Kim had a meeting with ARM to apply the ARM Academic Access (AAA) Program. The program supports ARM commercial IPs, training Program, and Materials for researches with ARM IPs.  

• Acceptance in an International Journal — 2022. 02. 24

A paper titled "A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks" by HyunJin Kim, Mohammed Alnemari, and Nader Bagherzadeh has been accepted in PeerJ Computer Science.

• Acceptance in an International Journal — 2021. 12. 14

A paper titled "PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution" by Jungwoo Shin and HyunJin Kim has been accepted in PeerJ Computer Science.

• Acceptance in a Domestic Journal — 2021. 9. 24

A paper titled "Highly accurate approximate multiplier using heterogeneous inexact 4-2 compressors for error-resilient application" by Jaewoo Lee and HyunJin Kim has been accepted in IEMEK Journal of embedded Systems and Applications (Domestic). 

• Acceptance in an International Journal — 2021. 9. 22

A paper titled "A Cost-Efficient Approximate Dynamic Ranged Multiplication and Approximation-Aware Training on Convolutional Neural Networks" by HyunJin Kim and Alberto A. Del Barrio has been accepted in IEEE Access. 

• Acceptance in an International Journal — 2021. 8. 26

A paper titled "PLAM: a Posit Logarithm-Approximate Multiplier" by Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Min Soo Kim, HyunJin Kim, Nader Bagherzadeh has been accepted in IEEE Transactions on Emerging Topics in Computing. 

• Support from National Research Foundation — 2021. 6. 1

A project titled "ACDNN: Approximate Computing-based Deep Neural Networks using Inaccurate Arithmetic Units for Low-Power Systems" will be supported by National Research Foundation (NRF) (June 2021 ~ February 2024) - 2021.05.27.

• Acceptance in an International Journal — 2021. 4. 24

A paper titled “A k-Mismatch String Matching for Generalized Edit Distance using Diagonal Skipping Method” by HyunJin Kim has been accepted in PLOS One.

• Acceptance in an International Journal — 2021. 3. 2

A paper titled "AresB-Net: accurate residual binarized neural networks using shortcut concatenation and shuffled grouped convolution" by HyunJin Kim has been accepted in PeerJ Computer Science. 

• Acceptance in an International Journal — 2021. 2. 25

A paper titled "A Low-Cost Compensated Approximate Multiplier for Bfloat16 Data Processing on CNN Inference" by HyunJin Kim has been accepted in ETRI Journal. 

• Publication in an international journal — 2021. 1. 14

A Paper titled "Effects of Approximate Multiplication on Convolutional Neural Networks," Kim, M. S., Del Barrio, A. A., Kim, H., & Bagherzadeh, N has been published in the early access of IEEE Transactions on Emerging Topics in Computing.