About Me
I'm a Sr. research engineer at Google Deepmind. I obtained my Ph.D. from UC San Diego, advised by Prof. Julian McAuley. I'm interested in recommender systems, deep learning. Previously, I was fortunate to work with Prof. Wu-Jun Li and Prof. Zhi-Hua Zhou at LAMDA Group of Nanjing University. I did some work of learning binary representation (called learning to hash) of images for fast image retrieval.
I spent great summers at Google Brain (Mountain View, 2019), Pinterest Labs (San Francisco, 2018), and Adobe Research (San Jose, 2017) as a research intern.
Publications
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems[preprint]
Under review, 2023
Benjamin Coleman*, Wang-Cheng Kang*, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng (*Co-first authors)
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction[preprint]
Under review, 2023
Wang-Cheng Kang*, Jianmo Ni*, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi, Derek Zhiyuan Cheng (*Co-first authors)
Learning to Embed Categorical Features without Embedding Tables for Recommendation[preprint]
ACM SIGKDD International Conference on Knowledge discovery and data mining, KDD'21 (Research Track)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyan Yi, Ting Chen, Lichan Hong, Ed H. Chi
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems[pdf]
Innovation in Data Science workshop at The Web Conference 2020, IID@WWW'20
Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyan Yi, Dong Lin, Lichan Hong, Ed H. Chi
Candidate Generation with Binary Codes for Large-scale Top-N Recommendation[pdf][code]
ACM International Conference on Information and Knowledge Management, CIKM'19
Wang-Cheng Kang, Julian McAuley
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation[pdf][code]
ACM International Conference on Information and Knowledge Management, CIKM'19
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley
Complete the Look: Scene-based Complementary Product Recommendation[pdf][data]
IEEE Conference on Computer Vision and Pattern Recognition, CVPR'19
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley
Media Coverage [+] Pinterest Engineering, Introducing Complete the Look: a scene-based complementary recommendation system
Self-Attentive Sequential Recommendation[pdf][preprint][code/data]
IEEE International Conference on Data Mining, ICDM'18 (long paper, acceptance rate 9%)
Wang-Cheng Kang, Julian McAuley
Recommendation through Mixtures of Heterogeneous Item Relationships[pdf][code/data]
ACM International Conference on Information and Knowledge Management, CIKM'18
Wang-Cheng Kang, Mengting Wan, Julian McAuley
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation[pdf][code/data]
ACM Conference on Recommender Systems, RecSys'18
Wang-Cheng Kang, Julian McAuley
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior[pdf][code][data]
International Joint Conference on Artificial Intelligence, IJCAI'18 (Sister Conference Best Paper Track, invited paper)
Ruining He, Wang-Cheng Kang, Julian McAuley
Visually-Aware Fashion Recommendation and Design with Generative Image Models[pdf][slides][code/data]
IEEE International Conference on Data Mining, ICDM'17 (long paper, acceptance rate 9%)
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley
Media Coverage [+] MIT Technology Review, This AI learns your fashion sense and invents your next outfit
Translation-based Recommendation[pdf][code][data]
ACM Conference on Recommender Systems, RecSys'17 (Best Paper Runner-up)
Ruining He, Wang-Cheng Kang, Julian McAuley
Awards
- Best Paper Runner-up ACM RecSys, 2017
- Powell Fellowship UCSD, 2016-2019
- CCF Outstanding Undergraduate Award CCF, 2015
- Microsoft Young Fellowship MSRA, 2015
- The Best Development Award (Champion) of Suning IT Elites of Campus Competition Suning, 2014
- Gold medal of ACM-ICPC Asia Chengdu Regional Contest ACM, 2013
- Gold medal of ACM-ICPC Asia Hangzhou Regional Contest ACM, 2013
- 3rd place of Tencent Hackathon National Finals Tencent, 2013
- Silver medal of National Olympiad in Informatics CCF 2011
Professional Services
PC Member & Reviewer
- ICLR'21, AAAI'21, TheWebConf'21, IJCAI'21 (Senior PC), RecSys'21, CIKM'21, NeurIPS'21
- RecSys'20, ICML'20, SDM'20, AAAI'20, CIKM'20, NeurIPS'20, WebSci'20, CogSci'20, ICWSM'20
- RecSys'19, NeurIPS'19, ICML'19, CogSci'19, ICWSM'19, SDM'19
- RecSys'18 (Best Reviewer Nominee), Machine Learning Meets Fashion Workshop@KDD'18
- ACM Computing Surveys (CSUR)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- The International Journal on Very Large Data Bases (VLDBJ)
- Transactions on Knowledge Discovery from Data (TKDD)
- ACM Transactions on the Web (TWEB)
- IEEE Access
- PeerJ Computer Science
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