Stephen Guo

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 27

Top Topics

Top Venues

Publications

Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. CoRR (2023)
Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. SIGIR (2023)
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
Causal Structure Learning with Recommendation System. CoRR (2022)
Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo
Deep Search Relevance Ranking in Practice. KDD (2022)
Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen
Applied Machine Learning Methods for Time Series Forecasting. CIKM (2022)
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. Big Data (2022)
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR (2022)
Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR (2021)
Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData (2021)
Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan
Generating Rich Product Descriptions for Conversational E-commerce Systems. WWW (Companion Volume) (2021)
Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan
Generating Rich Product Descriptions for Conversational E-commerce Systems. CoRR (2021)
Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR (2021)
Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW (2021)
Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen Guo, Kannan Achan
Product Title Generation for Conversational Systems using BERT. CoRR (2020)
Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR (2020)
Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM (2020)
Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP (2020)
Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan
A Real-Time Whole Page Personalization Framework for E-Commerce. CoRR (2020)
Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan
A Real-Time Whole Page Personalization Framework for E-Commerce. IEEE BigData (2020)
Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo, Kannan Achan
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. CoRR (2020)
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu
Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData (2020)
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu
Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR (2020)
Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR (2019)
Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan
Recovery-oriented Big Data Computing for Exactly Once Message Processing. IEEE BigData (2019)
Mansi Ranjit Mane, Stephen Guo, Kannan Achan
Complementary-Similarity Learning using Quadruplet Network. CoRR (2019)
Feng Mao, Edgar Blanco, Mingang Fu, Rohit Jain, Anurag Gupta, Sebastien Mancel, Rong Yuan, Stephen Guo, Sai Kumar, Yayang Tian
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing. CoRR (2017)
Feng Mao, Edgar Blanco, Mingang Fu, Rohit Jain, Anurag Gupta, Sebastien Mancel, Rong Yuan, Stephen Guo, Sai Kumar, Yayang Tian
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing. BigDataService (2017)
Jiwon Seo, Stephen Guo, Monica S. Lam
SociaLite: An Efficient Graph Query Language Based on Datalog. IEEE Trans. Knowl. Data Eng. 27 (7) (2015)
Stephen Guo, Ming-Wei Chang, Emre Kiciman
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL (2013)
Jiwon Seo, Stephen Guo, Monica S. Lam
SociaLite: Datalog extensions for efficient social network analysis. ICDE (2013)
Stephen Guo, Aditya G. Parameswaran, Hector Garcia-Molina
So who won?: dynamic max discovery with the crowd. SIGMOD Conference (2012)
Stephen Guo, Mengqiu Wang, Jure Leskovec
The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice CoRR (2011)
Stephen Guo, Mengqiu Wang, Jure Leskovec
The role of social networks in online shopping: information passing, price of trust, and consumer choice. EC (2011)