논문 1 페이지 | 서울대학교AI연구원(AIIS)

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논문

Total 21건 1 페이지
정신의학+AI
-저널명: JMIR Mental Health
-분야: 디지털 정신의학, 의료정보학
-논문명: Digital Phenotypes for Early Detection of Internet Gaming Disorder in Adolescent Students: Explorative Data-Driven Study
-주요저자: 조광수(쓰리알이노베이션 대표), 이창건(서울대 컴퓨터공학부 교수), 허지원(고려대 심리학부 교수), 권준수(서울대병원 정신겅강의학과)
물리학 + AI

Chiral symmetry and taste symmetry from the eigenvalue spectrum of staggered Dirac operators (Hwancheol Jeong, Chulwoo Jung, Seungyeob Jwa, Jangho Kim, Jeehun Kim, Nam Soo Kim, Sunghee Kim, Sunkyu Lee, Weonjong Lee, Youngjo Lee, and Jeonghwan Pak (SWME Collaboration)) Phys. Rev. D 2021 #이원종 교수팀

시각화 + AI

Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections (Hyeon Jeon, Hyung-Kwon Ko, Jaemin Jo, Youngtaek Kim, Jinwook Seo) IEEE Transactions of Visualization and Computer Graphics / IEEE VIS 2021 #서진욱 교수팀

기후 / 환경 + AI

Potential role of urban forest in removing PM2.5: a case study in Seoul by deep learning with satellite data (Ahreum Lee, Sujong Jeong, Jaewon Joo, Chan-Ryul Park, Jhoon Kim, Sookyung Kim) Urban Climate 2021 #정수종 교수팀

A simple method of predicting autumn leaf coloring date using machine learning with spring unfolding date (Sehyun Lee, Sujong Jeong, Chang-Eui Park, Jongho Kim) Asia-Pacific Journal of Atmospheric Sciences #정수종 교수팀

통신 + AI

Partial Sample Transmission and Deep Neural Decoding for URLLC-based V2X Systems (Wonjun Kim and Byonghyo Shim) ICC 2021 #심병효 교수팀

Power Minimization of Intelligent Reflecting Surface-Aided Uplink IoT Networks (Jiao Wu, Byonghyo Shim) WCNC 2021 #심병효 교수팀

Energy-Efficient mmWave UDN Using Distributed Multi-Agent Deep Reinforcement Learning (Jihoon Moon, Hyungyu Ju, Seungnyun Kim, and Byonghyo Shim) ICC 2021 #심병효 교수팀

Transmit Power Minimization in Intelligent Reflecting Surfaces-Aided Uplink Communications (Jiao Wu, Byonghyo Shim) TENCON 2020 #심병효 교수팀

Localization of Internet of Things Network via Deep Neural Network Based Matrix Completion (Sunwoo Kim, Byonghyo Shim) ICTC 2020 #심병효 교수팀

Energy-Efficient FDD-based Massive MIMO Systems Using Finite Rate Feedback (Seungnyun Kim, Byonghyo Shim) ICTC 2020 #심병효 교수팀

Ultra-Mini Slot Transmission for 5G+ and 6G URLLC Network (Wonjun Kim, Byonghyo Shim) VTC 2020 Fall #심병효 교수팀

Energy Efficient Ultra-Dense Network Using Long Short-Term Memory (Junwon Son, Seungnyun Kim, Byonghyo Shim) WCNC 2020 #심병효 교수팀

Pilot-Less One-Shot Sparse Coding for Short Packet-Based Machine-Type Communications (Jiao Wu, Wonjun Kim, Byonghyo Shim) IEEE Transactions on Vehicular Technology 2020 #심병효 교수팀

Energy-Efficient Ultra-Dense Network Using LSTM-based Deep Neural Networks (Seungnyun Kim, Junwon Son, Byonghyo Shim) IEEE Transactions on Wireless Communications  2021 #심병효 교수팀

군사 / 항공 + AI

A BCI Based Alerting System for Attention Recovery of UAV Operators (Jonghyuk Park, Jonghun Park, Dongmin Shin, and Yerim Choi) Sensors #박종헌 교수팀

A Behavior Optimization Method for Unmanned Combat Aerial Vehicles Using Matrix Factorization (Jaeseok Huh, Jonghun Park, Dongmin Shin, and Yerim Choi) IEEE Access #박종헌 교수팀

공정 + AI

Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling with Sequence Dependent Family Setups (Bohyung Paeng, In-Beom Park, Jonghun Park) IEEE Access #박종헌 교수팀

A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities (In-Beom Park, Jaeseok Huh, Joongkyun Kim, and Jonghun Park) IEEE Transactions on Automation Science and Engineering #박종헌 교수팀

신경과학 + AI

Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth (Alex Luna, Joel Bernanke, Kakyeong Kim, Natalie Aw, Jordan D. Dworkin, Jiook Cha, Jonathan Posner) #차지욱 교수팀

보안 + AI

Noise-Robust Deep Spiking Neural Networks with Temporal Information (Seongsik Park, Dongjin Lee, Sungroh Yoon) DAC 2021 #윤성로 교수팀

Scalable Multi-FPGA Acceleration for Large RNNs with Full Parallelism Levels (Dongup Kwon, Suyeon Hur, Hamin Jang, Eriko Nurvitadhi, and Jangwoo Kim) DAC 2020 #김장우 교수팀 

Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device (Sunwoo Ahn, Hayoon Yi, Younghan Lee, Whoi Ree Ha, Giyeol Kim, Yunheung Paek) DAC 2020 #백윤흥 교수팀 

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding (Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon) DAC 2020 #윤성로 교수팀 

Tensor Virtualization Technique to Support Efficient Data Reorganization for CNN Accelerators (Donghyun Kang, Soonhoi Ha) DAC 2020 #하순회 교수팀

NNSim: Fast Performance Estimation based on Sampled Simulation of GPGPU Kernels for Neural Networks (JinTaek Kang, Kwanghyun Chung, Youngmin Yi, Soonhoi Ha) DAC 2018 #하순회 교수팀

인문/예술 + AI

Chord Conditioned Melody Generation With Transformer Based Decoders (Kyoyun Choi, Jonggwon Park, Wan Heo, Sungwook Jeon, and Jonghun Park) IEEE Access 2021 #박종헌 교수팀

미디어 + AI

HintPose (Sanghoon Hong, Hunchul Park, Jonghyuk Park, Sukhyun Cho, Heewoong Park) ICCV 2019 

Image-to-Image Retrieval by Learning Similarity between Scene Graphs (Sangwoong Yoon, Woo Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, and Eun-Sol Kim) AAAI 2021 

A Body Part Embedding Model with Datasets for Measuring 2D Human Motion Similarity (Jonghyuk Park, Sukhyun Cho, Dongwoo Kim, Oleksandr Bailo, Heewoong Park, Sanghoon Hong, and Jonghun Park) IEEE Access 2021 

언어/인지 + AI

iSAM2 using CUR matrix decomposition for data compression and analysis (Wangseok Jang, Tae-wan Kim) #Journal of Computational Design and Engineering 2021

CONVOLUTIONAL SEQUENCE TO SEQUENCE MODEL WITH NON-SEQUENTIAL GREEDY DECODING FOR GRAPHEME TO PHONEME CONVERSION (Moon-jung Chae, Kyubyong Park, Jinhyun Bang, Soobin Suh, Jonghyuk Park, Namju Kim, and Jonghun Park) #ICASSP 2018

TRAINING UTTERANCE-LEVEL EMBEDDING NETWORKS FOR SPEAKER IDENTIFICATION AND VERIFICATION (Heewoong Park, Sukhyun Cho, Kyubyong Park, Namju Kim, and Jonghun Park) #INTERSPEECH 2018

Word RNN as a Baseline for Sentence Completion (Heewoong Park, Sukhyun Cho, and Jonghun Park) #Proc. of IEEE MNLP 2018

Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder (Soobin Suh, Dabi Ahn, Heewoong Park, and Jonghun Park) #MLSLP-2018

Assessment of Word-Level Neural Language Models for Sentence Completion (Heewoong Park and Jonghun Park) #Applied Sciences (February 2020)

Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads (Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller) #AACL-IJCNLP 2020 / 12

IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? (Jaeyoul Shin, Taeuk Kim, Sang-goo Lee) #SemEval 2020 / 2020.7

Exploiting Text Matching Techniques for Knowledge-Grounded Conversation (Yeonchan Ahn, Sang-goo Lee, Jaehui Park) #IEEE Access / 2020.7

Summary Level Training of Sentence Rewriting for Abstractive Summarization(Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee) #The Second Workshop on New Frontiers in Summarization 2019 / 2019.11

Stochastic Relational Network (Kang Min Yoo, Hyunsoo Cho, Hanbit Lee, Jeeseung Han, and Sang-goo Lee) #The First Workshop on Statistical Deep Learning in Computer Vision 2019 / 2019.11

A Survey on Personalized PageRank Computation Algorithms (Sungchan Park, Wonseok Lee, Byeongseo Choe, Sang-goo Lee)  #IEEE Access / 2019.11

Cell-aware Stacked LSTMs for Modeling Sentences (Jihun Choi, Taeuk Kim, Sang-goo Lee) #The 11th Asian Conference on Machine Learning / 2019.11

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja (Kang Min Yoo*, Taeuk Kim*, Sang-goo Lee (*equal contribution)) #2019 Conference on Empirical Methods in Natural Language Processing / 2019.11

Intrinsic Evaluation of Grammatical Information within Word Embeddings (Daniel Edmiston, Taeuk Kim) #Pacific Asia Conference on Language, Information and Computation  / 2019.09

SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification (Sanghwan Bae, Jihun Choi, Sang-goo Lee) #International Workshop on Semantic Evaluation / 2019.06

Variational Deep Semantic Text Hashing with Pairwise Labels (Richeng Xuan, Junho Shim, Sang-goo Lee) #International Conference on Ubiquitous Information Management and Communication / 2019.01

SisterNetwork: Enhancing Robustness of Multi-label Classification with Semantically Segmented Images (Holim Lim, Jeeseung Han, Sang-goo Lee) #International Conference on Ubiquitous Information Management and Communication / 2019.01

Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding (Youhyun Shin, Kang Min Yoo, Sang-goo Lee) #IEEE Signal Processing Letters / 2019.01

Efficient Data Stream Clustering With Sliding Windows Based on Locality-Sensitive Hashing (Jonghem Youn, Junho Shim, Sang-goo Lee) #IEEE Access / 2018.10

Automatic Generation of Multiple-Choice Fill-in-the-blank Question Using Document Embedding (Junghyuk Park, Hyunsoo Cho, Sang-goo Lee)  #International Conference on Artificial Intelligence in Education / 2018.06 

Element-wise Bilinear Interaction for Sentence Matching (Jihun Choi, Taeuk Kim, Sang-goo Lee) #The Seventh Joint Conference on Lexical and Computational Semantics / 2018.06

SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension (Taeuk Kim, Jihun Choi, Sang-goo Lee) #International Workshop on Semantic Evaluation / 2018.06

Improving the integrated experience of in-class activities and fine-grained data collection for analysis in a blended learning class (Youhyun Shin, Junghyuk Park, Sang-goo Lee) Interactive Learning Environments / 2018

금융 + AI

Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting (Jaemin Yoo and U Kang) SIAM International Conference on Data Mining (SDM) 2021 #강유 교수팀

Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets (Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, and U Kang) IEEE International Conference on Big Data (BigData) 2022 #강유 교수팀 




에너지 + AI

On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach (Heasung Kim, Jungtae Kim, Wonjae Shin, Heecheol Yang, Nayoung Lee, Sung Jin Kim, and Jungwoo Lee) IEEE Access 2020 #이정우 교수팀

Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems (Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, and H. Vincent Poor) IEEE Journal on Selected Areas in Communications, Aug. 2020 #이정우 교수팀

An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels (Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, Harold Vincent Poor) IEEE International Symposium on Information Theory, June 21-26, 2020 #이정우 교수팀

RL-based Transmission Completion Time Minimization with Energy Harvesting for Time-varying Channels (Heasung Kim, Wonjae Shin, Heecheol Yang, and Jungwoo Lee) IEEE ICC’20 Open Workshop on Machine Learning for Communications (ML4COM), June 7-11, 2020 #이정우 교수팀

Automotive Radar Signal Inference Mitigation Using RNN With Self Attention (Jiwoo Mun, Seokhyeon Ha, and Jungwoo Lee) ICASSP, May 4-8, 2020 #이정우 교수팀

REST: performance improvement of a black box model via RL based spatial transformation (Jaemyung Kim, Chanwoo Park, Hyungjin Kim, and Jungwoo Lee) AAAI, Feb 7-12, 2020 #이정우 교수팀

경영 + AI

Which Visual Modality Is Important When Judging the Naturalness of the Agent (Artificial Versus Human Intelligence) Providing Recommendations in the Symbolic Consumption Context? (Chung, Kyungmi, Jin Young Park, Kiwan Park, Yaeri Kim) Sensors, 20 (17: September 3), 5016, pp. 1-14 #박기완 교수

The Impact of Visual Art and High Affective Arousal on Heuristic Decision-Making in Consumers (Kim, Yaeri Kim, Kiwan Park, Yaeeun Kim, Wooyun Yang, Dong-uk Han, Wuon-Shik Kim) Frontiers in Psychology, 11(565829: November), pp. 1-16. #박기완 교수

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