PresentationsΒΆ
Tutorial:
Seamlessly Scaling out Big Data AI on Ray and Apache Spark, CVPR 2021 tutorial, June 2021 (slides)
Automated Machine Learning Workflow for Distributed Big Data Using Analytics Zoo, CVPR 2020 tutorial, June 2020 (slides)
Building Deep Learning Applications for Big Data, AAAI 2019 tutorial, January 2019 (slides)
Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark, AI conference, Sep 2019, San Jose (slides)
Building Deep Learning Applications on Big Data Platforms, CVPR 2018 tutorial, June 2018 (slides)
Talks:
E2E Smart Transportation CV application in Inspur (using Insight Data-Intelligence platform), CVPR 2021, July 2021 (slides)
Mobile Order Click-Through Rate (CTR) Recommendation with Ray on Apache Spark at Burger King, Ray Summit 2021, June 2021 (slides)
Deep Reinforcement Learning Recommenders using RayOnSpark, Data + AI Summit 2021, May 2021 (slides)
Cluster Serving: Deep Learning Model Serving for Big Data, Data + AI Summit 2021, May 2021 (slides)
Offer Recommendation System with Apache Spark at Burger King, Data + AI Summit 2021, May 2021 (slides)
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger King, Data + AI Summit Europe 2020, November 2020 (slides)
Cluster Serving: Distributed Model Inference using Apache Flink in Analytics Zoo, Flink Forward 2020, October 2020 (slides)
Project Zouwu: Scalable AutoML for Telco Time Series Analysis using Ray and Analytics Zoo, Ray Summit Connect 2020, August 2020 (slides)
Cluster Serving: Distributed Model Inference using Big Data Streaming in Analytics Zoo, OpML 2020, July 2020 (slides)
Scalable AutoML for Time Series Forecasting using Ray, OpML 2020, July 2020 (slides)
Scalable AutoML for Time Series Forecasting using Ray, Spark + AI Summit 2020, June 2020 (slides)
Running Emerging AI Applications on Big Data Platforms with Ray On Apache Spark, Spark + AI Summit 2020, June 2020 (slides)
Vectorized Deep Learning Acceleration from Preprocessing to Inference and Training on Apache Spark in SK Telecom, Spark + AI Summit 2020, June 2020 (slides)
Architecture and practice of big data analysis and deep learning model inference using Analytics Zoo on Flink, Flink Forward Asia 2019, Nov 2019, Beijing (slides)
Data analysis + AI platform technology and case studies, AICon BJ 2019, Nov 2019, Beijing (slides)
Architectural practices for building a unified big data AI application with Analytics-Zoo, QCon SH 2019, Oct 2019, Shanghai (slides)
Building AI to play the FIFA video game using distributed TensorFlow, TensorFlow World, Oct 2019, Santa Clara (slides)
Deep Learning Pipelines for High Energy Physics using Apache Spark with Distributed Keras on Analytics Zoo, Spark+AI Summit, Oct 2019, Amsterdam (slides)
Apache Spark AI Use Case in Telco: Network Quality Analysis and Prediction with Geospatial Visualization, Spark+AI Summit, Oct 2019, Amsterdam (slides)
LSTM-based time series anomaly detection using Analytics Zoo for Spark and BigDL, Strata Data conference, May 2019, London (slides)
Game Playing Using AI on Apache Spark, Spark+AI Summit, April 2019, San Francisco (slides)
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest X-rays in DELL EMC, Spark+AI Summit, April 2019, San Francisco (slides)
Leveraging NLP and Deep Learning for Document Recommendation in the Cloud, Spark+AI Summit, April 2019, San Francisco (slides)
Analytics Zoo: Distributed Tensorflow, Keras and BigDL in production on Apache Spark, Strata Data conference, March 2019, San Francisco (slides)
User-based real-time product recommendations leveraging deep learning using Analytics Zoo on Apache Spark in Office Depot, Strata Data conference, March 2019, San Francisco (slides)
Analytics Zoo: Unifying Big Data Analytics and AI for Apache Spark, Shanghai Apache Spark + AI meetup, Nov 2018, Shanghai (slides)
Use Intel Analytics Zoo to build an intelligent QA Bot for Microsoft Azure, Shanghai Apache Spark + AI meetup, Nov 2018, Shanghai (slides)
A deep learning approach for precipitation nowcasting with RNN using Analytics Zoo in Cray, Strata Data conference, Sep 2018, New York (slides)
Job recommendations leveraging deep learning using Analytics Zoo on Apache Spark in Talroo, Strata Data conference, Sep 2018, New York (slides)
Accelerating Deep Learning Training with BigDL and Drizzle on Apache Spark, Spark + AI Summit, June 2018, San Francisco (slides)
Using Crowdsourced Images to Create Image Recognition Models with Analytics Zoo in World Bank, Spark + AI Summit, June 2018, San Francisco (slides)
Building Deep Reinforcement Learning Applications on Apache Spark with Analytics Zoo using BigDL, Spark + AI Summit, June 2018, San Francisco (slides)
Using BigDL on Apache Spark to Improve the MLS Real Estate Search Experience at Scale, Spark + AI Summit, June 2018, San Francisco
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL, Spark + AI Summit, June 2018, San Francisco
Using Siamese CNNs for removing duplicate entries from real estate listing databases, Strata Data conference, May 2018, London (slides)
Classifying images on Spark in World Bank, AI conference, May 2018, New York (slides)
Improving user-merchant propensity modeling using neural collaborative filtering and wide and deep models on Spark BigDL in Mastercard, Strata Data conference, March 2018, San Jose (slides)
Accelerating deep learning on Apache Spark using BigDL with coarse-grained scheduling, Strata Data conference, March 2018, San Jose (slides)
Automatic 3D MRI knee damage classification with 3D CNN using BigDL on Spark in UCSF, Strata Data conference, March 2018, San Jose (slides)