Machine Learning Engineer
I am currently a Machine Learning Engineer/Researcher at Twitter. I obtained my Ph.D. from the University of Melbourne in 2017. Before commencing my Ph.D. in 2013, I worked for seven months at Nanyang Technological University. I obtained my bachelor's degree in Computer Science from Renmin University of China in 2012. I was a software engineering intern at Google Research in 2017. I visited the Social Computing Group of Microsoft Research Asia in 2015. My research interests include context-aware recommendation, personalization, and spatial/temporal data mining, management and visualization.
Email: yusun.aldrich AT (hint: I am using Google mail)Address: c/o Twitter Inc.1355 Market St #900, San Francisco, CA, USA
Yan Xia, Yu Sun, Tian Wang, Juan Caicedo Carvajal, Jinliang Fan, Bhargav Mangipudi, Lisa Huang, Yatharth Saraf, Relevance Ranking for Realtime Tweet Search, CIKM, accepted, 2020.
Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation, ACL, 660--670, 2020. PDF BibTex
Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, MALA: Cross-Domain Dialogue Generation with Action Learning, AAAI, 7977-7984, 2020. PDF BibTex
Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang, Efficient Processing of Moving Collective Spatial Keyword Queries, International Journal on Very Large Data Bases (VLDBJ), 29(4): 841–865, 2019. PDF BibTex
Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi, Adversarial Distillation for Learning with Privileged Provisions, Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2019. PDF BibTex
Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi, Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random, ICML, 6638-6647, 2019. PDF BibTex
Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng, CARL: Aggregated Search with Context-Aware Module Embedding Learning, International Joint Conference on Neural Networks (IJCNN), 1-8, 2019. PDF BibTex
Yu Sun, Lluis Garcia-Pueyo, James Wendt, Marc Najork, Andrei Broder, Learning Effective Embeddings for Machine Generated Emails with Applications to Email Category Prediction, IEEE International Conference on Big Data (BigData), 1846-1855, 2018. PDF BibTex
Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi, KDGAN: Knowledge Distillation with Generative Adversarial Networks, NeurIPS, 783-794, 2018. PDF BibTex
Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, Tenglun Tan, Context Uncertainty Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning, PAKDD, 500-512, 2018. PDF BibTex
Xiaojie Wang, Jianzhong Qi, Kotagiri Ramamohanarao, Yu Sun, Bo Li, Rui Zhang, A Joint Optimization Approach for Personalized Recommendation Diversification, PAKDD, 597-609, 2018. PDF BibTex
Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie, Enhong Chen, App Download Forecasting: An Evolutionary Hierarchical Competition Approach, IJCAI, 2978-2984, 2017. PDF BibTex
Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang, Collaborative Intent Prediction with Real-Time Contextual Data, ACM Transactions on Information Systems (TOIS) 35(4): 30:1-30:33, 2017. PDF BibTex
Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen, A Contextual Collaborative Approach for App Usage Forecasting, UbiComp, 1247–1258, 2016. PDF BibTex
Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang, Contextual Intent Tracking for Personal Assistants, KDD, 273–282, 2016. (Best Student Paper Award) PDF Video BibTex
Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, Xiaoyong Du, Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration, ICDE, 966-977, 2016. PDF BibTex Slides Poster Heatmaps for various cities
Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang, Collaborative Nowcasting for Contextual Recommendation, WWW, 1407-1418, 2016. PDF BibTex Slides Code
Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang, K-Nearest Neighbor Temporal Aggregate Queries, EDBT, 493-504, 2015. PDF BibTex Slides Code
Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, Xiaoyong Du, MapReduce Based Location Selection Algorithm for Utility Maximization with Capacity Constraints, Computing, 97(4): 403-423, 2015. PDF BibTex
Yu Sun, Jin Huang, Yueguo Chen, Rui Zhang, Xiaoyong Du, Location Selection for Utility Maximization with Capacity Constraints, CIKM, 2154-2158, 2012. PDF BibTex Poster
Yu Sun, Jin Huang, Yueguo Chen, Xiaoyong Du, Rui Zhang, Top-k Most Incremental Location Selection with Capacity Constraint, WAIM, 165-171, 2012. PDF BibTex Slides
Qiuyue Wang, Yantao Gan, Yu Sun, RUC @ INEX 2011 Data-Centric Track, INEX, 167-179, 2011. PDF BibTex
Victoria University Research Impact Award, Semi Finalist, Victorian Young Achiever Awards, 2017
Best Student Paper Award (Applied Data Science), The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’16), 2016
International Postgraduate Research Scholarship (IPRS) of Australia (~35 prizewinners per year in the University of Melbourne), 2013-2016
Australian Postgraduate Award, 2013-2016
KDD/ICDE/WWW Student Travel Awards, 2016
Google PhD Travel Scholarships, 2015, 2016
Melbourne Abroad Travelling Scholarship, 2015, 2016.
2016 Semester 1: Teaching Assistant (head), COMP90050 Advanced Database Systems
2016 Semester 1: Lab Demonstrator, COMP90041 Programming and Software Development
2014 Semester 2: Teaching Assistant (head), COMP90038 Algorithms and Complexity
2014 Semester 1: Teaching Assistant, COMP90038 Algorithms and Complexity
2013 Semester 2: Marking Assistant, COMP90038 Algorithms and Complexity
FuelPriceShare: Find nearby fuel stations and competitive fuel prices Demo Server-Code Mobile-Code
GraphPart: Partition a graph (e.g., road networks) with natural cuts Demo Code
TrejShow: Print trajectories on a map for better visualization and comparison Demo Code
Route: Reconstruct a trajectory with the shortest route between uniformly sampled data points Demo Code
Workshop Organizer: Integrity in Social Networks and Media 2020 at WSDM
PC Member: AAAI 2019, NeurIPS 2019, AAAI 2020, ICML 2020, NeurIPS 2020,
Editorial Review Board Member: International Journal of Knowledge Management
Journal Reviewer: Distributed and Parallel Databases, The VLDB Journal, GeoInformatica, Transactions on Knowledge and Data Engineering, Pervasive and Mobile Computing, Transactions on Intelligent Systems and Technology, Journal of Systems and Software
External Reviewer: AAAI 2018, CIKM 2018, MM 2018, IT-ASONAM 2018, WAIM 2018, IEEE/ACM ASONAM 2017, WWW 2017, AAAI 2017, UbiComp 2016, IEEE/ACM ASONAM 2016, KDD 2016, IJCAI 2016, WWW 2016, SDM 2016, MDM 2016, WAIM 2016, SIGMOD 2015, SSTD 2015, ApWeb 2015, UrbComp 2015, CCF Big Data 2015, DASFAA 2013