Presentations#


Tutorial:

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)