PACC: Large scale connected component computation on Hadoop and Spark (Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang) #강유 교수팀

FlexGraph: Flexible partitioning and storage for scalable graph mining (Chiwan Park, Ha-Myung Park, U Kang) #강유 교수팀

 FVM: FPGA-assisted Virtual Device Emulation for Fast, Scalable, and Flexible Virtualization (Dongup Kwon, Junehyuk Boo, Dongryeong Kim, and Jangwoo Kim) #김장우 교수팀 

TrainBox: An Extreme-Scale Neural Network Training Server by Systematically Balancing Operations (Pyeongsu Park, Heetak Jeong, and Jangwoo Kim) #김장우 교수팀

SuperNPU: An Extremely Fast Neural Processing Unit Using Superconducting Logic Devices (Koki Ishida, Il-Kwon Byun, Ikki Nagoka, Kosuke Fukumitsu, Masamitsu Tanaka, Satoshi Kwakami, Teruo Tanimoto, Takatsugu Ono, Jangwoo Kim, and Koji Inoue) #김장우 교수팀

Graphene: Strong yet Lightweight Row Hammer Protection (Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, and Jae W. Lee) #이재욱 교수팀 

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder (Hyojin Park, Lars Sjösund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak) #곽노준 교수팀

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference (Jaemin Yoo, U Kang, Mauro Scanagatta) #강유 교수팀

Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart (Jinhong Jung, Woojeong Jin, Ha-myung Park, U Kang) #강유 교수팀

CryoCore: A Fast and Dense Processor Architecture for Cryogenic Computing (Ilkwon Byun, Dongmoon Min, Gyu-Hyeon Lee, Seongmin Na, and Jangwoo Kim) #김장우 교수팀

A Multi-Neural Network Acceleration Architecture (Eunjin Baek, Dongup Kwon, and Jangwoo Kim) #김장우 교수팀

Genesis: A Hardware Acceleration Framework for Genomic Data Analysis (Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu Wills) #이재욱 교수팀

A Specialized Architecture for Object Serialization with Applications to Big Data Analytics (Jaeyoung Jang, Sung Jun Jung, Sunmin Jeong, Jun Heo, Hoon Shin, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

A Case for Hardware-Based Demand Paging (Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, and Jinkyu Jeong) #이재욱 교수팀 

Enforcing Last-Level Cache Partitioning through Memory Virtual Channels (Jongwook Chung, Yuhwan Ro, Joonsung Kim, Jaehyung Ahn, Jangwoo Kim, John Kim, Jae W.Lee, Jung Ho Ahn) #안정호 교수팀

A 65nm 236.5nJ/Classification Neuromorphic Processor with 7.5% Energy Overhead On-Chip Learning Using Direct Spike-Only Feedback (Jeongwoo Park, Juyun Lee, Dongsuk Jeon) #전동석 교수팀

Knowledge Extraction with No Observable Data (Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang ) #강유 교수팀

Consistency-based Semi-supervised Learning for Object detection (Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak) #곽노준 교수팀

Self-Routing Capsule Networks (Taeyoung Hahn, Myeongjang Pyeon, Gunhee Kim) #김건희 교수팀

Doubly-Robust Lasso Bandit (Gi-Soo Kim, Myunghee Cho Paik) #조명희 교수팀

Stage-based Hyper-parameter Optimization for Deep Learning (Ahnjae Shin, Dong-Jin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun) #전병곤 교수팀

Combinatorial Inference against Label Noise (Paul Hongsuck Seo, Geeho Kim, Bohyung Han) #한보형 교수팀

Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja (Kang Min Yoo, Taeuk Kim and Sang-goo Lee) #이상구 교수팀

Dual Attention Networks for Visual Reference Resolution in Visual Dialog (Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang) #장병탁 교수팀

Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty (Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim) #김건희 교수팀

Variational Laplace Autoencoders (Yookoon Park, Chris Donjoo Kim, Gunhee Kim) #김건희 교수팀

Learning Discrete and Continuous Factors of Data via Alternating Disentanglement (Yeonwoo Jeong, Hyun Oh Song) #송현오 교수팀

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (Seungyong Moon*, Gaon An*, Hyun Oh Song) #송현오 교수팀

EMI: Exploration with Mutual Information (Hyoungseok Kim*, Jaekyeom Kim*, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song) #송현오 교수팀

FloWaveNet: A Generative Flow for Raw Audio (Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon) #윤성로 교수팀

HexaGAN: Generative Adversarial Nets for Real World Classification (Uiwon Hwang, Dahuin Jung, Sungroh Yoon) #윤성로 교수팀

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension (Daesik Kim, Seonhoon Kim and Nojun Kwak) #곽노준 교수팀

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching (Jihun Choi, Taeuk Kim, Sang-goo Lee) #이상구 교수팀

CoDraw: Collaborative drawing as a testbed for grounded goal-driven communication (Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh) #장병탁 교수팀

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks (Byeongchang Kim, Hyunwoo Kim , Gunhee Kim) #김건희 교수팀

AudioCaps: Generating Captions for Audios in The Wild (Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim) #김건희 교수팀

Multi-task Self-Supervised Object Detection via Recycling of Bounding Box Annotations (Wonhee Lee, Joonil Na, Gunhee Kim) #김건희 교수팀

End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization (Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song) #송현오 교수팀

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks (Eunwoo Kim, Chanho Ahn, Philip Torr, Songhwai Oh) #오성회 교수팀

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference (Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon) #윤성로 교수팀

Stochastic Class-based Hard Example Mining for Deep Metric Learning (Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee) #이경무 교수팀

Natural and realistic single image super-resolution with explicit natural manifold discrimination (Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho) #조남익 교수팀

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering (Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han) #한보형 교수팀

Domain Specific Batch Normalization for Unsupervised Domain Adaptation (Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han) #한보형 교수팀

Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences (Seonguk Seo, Paul Hongsuck Seo, Bohyung Han) Streamlined Dense Video Captioning (Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han) #한보형 교수팀

Streamlined Dense Video Captioning (Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han) #한보형 교수팀