Stephen D. Guo

According to our database, Stephen D. Guo authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

International Workshop on Online and Adaptive Recommender Systems (OARS 2024).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce.

Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

3rd Workshop on Online and Adaptive Recommender Systems (OARS).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Causal Structure Learning with Recommendation System.

Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang

CoRR, 2022

Deep Search Relevance Ranking in Practice.

Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Applied Machine Learning Methods for Time Series Forecasting.

Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.

Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Generating Rich Product Descriptions for Conversational E-commerce Systems.

Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan

Proceedings of the Companion of The Web Conference 2021, 2021

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer.

Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.

Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce.

Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan

CoRR, 2020

Product Title Generation for Conversational Systems using BERT.

Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen D. Guo, Kannan Achan

CoRR, 2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network.

Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations.

Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Real-Time Whole Page Personalization Framework for E-Commerce.

Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Basket Recommendation with Multi-Intent Translation Graph Neural Network.

Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Complementary-Similarity Learning using Quadruplet Network.

Mansi Ranjit Mane, Stephen D. Guo, Kannan Achan

CoRR, 2019

Recovery-oriented Big Data Computing for Exactly Once Message Processing.

Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen D. Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing.

Feng Mao, Edgar Blanco, Mingang Fu, Rohit Jain, Anurag Gupta, Sebastien Mancel, Rong Yuan, Stephen D. Guo, Sai Kumar, Yayang Tian

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2013

Automated cellular annotation for high-resolution images of adult <i>Caenorhabditis elegans</i>.

Sarah J. Aerni, Xiao Liu, Chuong B. Do, Samuel S. Gross, Andy Nguyen, Stephen D. Guo, Fuhui Long, Hanchuan Peng, Stuart S. Kim, Serafim Batzoglou

Bioinform., 2013

To Link or Not to Link? A Study on End-to-End Tweet Entity Linking.

Stephen D. Guo, Ming-Wei Chang, Emre Kiciman

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013