FILTER
DAY 1
- 08:30 ~ 09:50
- REGISTER
- 09:50 ~ 11:00
- schedule info
- KEYNOTE
- 11:30 ~ 12:15
- schedule info
- Large-Scale PLM Factory! (LaRva: Language Representation by Clova)Dongjun Lee, Sungdong Kim / NAVER / Clova AI
- schedule info
- Handwritten font generating AI (Successful Side Project)Lee Bado / NAVER / CLOVA AI OCR
- schedule info
- Building WiFi AP Map with large-scale user generated location dataJohn Koo / loplat / CEO
- schedule info
- An AI platform without external cloud products: data pre-processing, model training & serving.Dongseok Hyun / NAVER / Big data&AI Platform
- 12:15 ~ 13:15
- LUNCH
- 13:15 ~ 14:00
- schedule info
- Expressive and multi-lingual AI voice actorYounggun Lee / Neosapience, Inc.
- schedule info
- Papago: Engineering BERT into NMTStephane Clinchant / NAVER LABS Europe
- schedule info
- Deep Learning for Human Sensing from Visual DataGregory ROGEZ / NAVER LABS EUROPE
- schedule info
- Building a practical stylization model based on signal processing (Better Faster Stronger Transfer)Jaejun Yoo / NAVER / Clova AI
- 14:15 ~ 15:00
- schedule info
- Optimization for serving 10K+ Modelsko suk hyun / NAVER / Clova AI Business
- schedule info
- Accurate method of measuring the performance for OCRChankyu Choi / NAVER / Papago
- schedule info
- When Deep Learning meets Visual LocalizationDr. Martin Humenberger / NAVER LABS EUROPE
- schedule info
- Operational AI: Building a Lifelong Learning Anomaly Detection SystemKi Hyun Kim / MakinaRocks / Principal ML Research Engineer
- 15:15 ~ 16:00
- schedule info
- Small Mislabeling is Fine: How Clova handle label noiseJaewook Kang / NAVER / Clova Business
- schedule info
- Mobile face recognition, from engine to DEVIEWSeungyoun Yi, Youngsoo Lee / NAVER / AI Production
- schedule info
- Urban HD Mapping for On-Road Intelligence (How it's made and Where it's used)Jongyoon Peck , Jinhan Lee / NAVER LABS / Autonomous Driving
- schedule info
- Faster Transformer: CUDA-Centric BERT Inference OptimizationMinseok Lee / NVIDIA
- 16:15 ~ 17:00
- schedule info
- Like a Feather: Designing Efficient Deep Learning Models for Mobile Devices Dongyoon Han / NAVER / Clova AI Research
- schedule info
- Auto-classification of NAVER Shopping Product Categories using TensorFlowLouis, Kyungsung Shon / NAVER / Shopping search dev
- schedule info
- Limitations and solving concepts of autonomous vehicle simulatorJoon Hong / MORAI / CEO
- schedule info
- To the next level, let's C++ Lucene AGAIN.Doo Yong Kim / NAVER / System&Solution
- 17:15 ~ 18:00
- schedule info
- Dialog-BERT: Serving Open-domain conversational AI with 10 billion chat messagesJoohong Lee / Scatter Lab
- schedule info
- AICall : How to make A.I. Reservation Agent via TelephonyDoh Kyoung Tae / NAVER / Clova AI
- schedule info
- Deep Reinforcement Learning of Navigation for AROUND robotsJinyoung Choi / NAVER LABS / Robotics
- schedule info
- AI DesignerJunho Kim / NCSOFT / Vision AI Lab
DAY 2
- 09:00 ~ 10:00
- REGISTER
- 10:00 ~ 10:45
- schedule info
- Logs Storage (Cuve Log Storage)Lee Yunkyung, Kang Minwoo / NAVER / Big data&AI Platform
- schedule info
- In the mobile age, can Web browsers create a new web experience? (Whale 2.0 + Live coding)Hyo Kim, Jeehan Kim / NAVER / Whale
- schedule info
- Multi-Tenancy Kubernetes on Bare-Metal Servers (NAVER Container Cluster)Jonghyun Lee / NAVER / Container Platform
- schedule info
- Stable Delivery of High-Quality Video: NAVER Mobile Live Streaming (From VLIVE to PRISM LIVE STUDIO)Jeong-myong Kim / NAVER / Video Platform
- 11:00 ~ 11:45
- schedule info
- How Pinpoint improved observabilityKoo Taejin / NAVER / Observability Platform
- schedule info
- Case Study of Performance Diagnosis and Optimizations in Multiple WebView EnvironmentSeong-Won Lee / NAVER / Whale
- schedule info
- Network virtualization solution for Naver Cloud PlatformJeonghwa Jeong(Stephen) / NBP(Naver Business Platform) / Network Delivery Service
- 12:00 ~ 12:45
- schedule info
- Overcome the Performance Limitation of Docker Engine in the serverless worldDominic Kim / NAVER / PaaS
- schedule info
- Fail Fast, Learn Faster SRE (SRE Learning from Failure)Jaehun Kim, Hogyun Yu / NAVER / Service System Reliability
- schedule info
- How will you adapt to changing app paradigms? (Module-Based Architectural Android App Design)Dongkil, SHIN / NAVER / NAVER App Dev. Lab
- schedule info
- How to maintain high quality live service (The Story of Live Media Streaming Server Development)Kang In Cheol / NAVER / Video Platform
- 12:45 ~ 14:00
- LUNCH
- 14:00 ~ 14:45
- schedule info
- MongoDB of the speed, by the speed, for the speed (Naver Search with MongoDB)KUNBAE PARK / NAVER / Knowledge DB Service Platform
- schedule info
- Designed to support multiple frameworks, such as React, Angular, and Vue (Cross Framework Component)Younkue Choi(Daybrush) / NAVER / FE-Platform
- schedule info
- Build large multi-tenant secure Hadoop clusters without trial and errorByungchang Kwon / NAVER / Big data&AI Platform
- schedule info
- Experience in developing VOD platform조성철 / NAVER / VideoCloud Dev.
- 15:00 ~ 15:45
- schedule info
- Coupang’s Recommendation System (From Product Recommendation to Real Time Personalization)Sungmin Oh / Coupang / Recommendation
- schedule info
- How it feels to learn FE Framework in 2019(The FE framework techs you should know)Jae Sung Park / NAVER / PaaS
- schedule info
- Make snow footprint with tracingHanbum Park / openfrontier@kosslab
- schedule info
- Video streaming service, Faster more faster (Ultra Low Latency, Ultra Fast Playing)Hyundong Hwang, Jonghyeok Lee / NAVER / Video Platform
- 16:00 ~ 16:45
- schedule info
- Mass Order Processing Without Scale out ( Microservices with Kafka )Taekyung Kim / 11Street / Platform Engineering
- schedule info
- console.warn ('a little worried?') // The story of developing pinpoint node agent to monitor node.jsKEUNBAE BAE / NAVER / Shopping exhibition development
- schedule info
- Armeria: A Microservice Framework Well-suited EverywhereTrustin Heuiseung Lee / LINE+
- schedule info
- Challenge to Monitor Large-scale Cluster System: Serving Things From Cluster-level To User-levelJu JeongIn, Lee YoungGon / NAVER / Big data&AI Platform