Stephen D. Guo

31 papers A* 4A 3B 1Misc 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	International Workshop on Online and Adaptive Recommender Systems (OARS 2024). CIKM Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2023	A*	`conf`	3rd Workshop on Online and Adaptive Recommender Systems (OARS). KDD Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2023	A*	`conf`	Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. SIGIR Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu
2023	J	`jnl`	Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. CoRR Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu
2022	A	`conf`	Applied Machine Learning Methods for Time Series Forecasting. CIKM Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen
2022	J	`jnl`	Causal Structure Learning with Recommendation System. CoRR Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang
2022	A*	`conf`	Deep Search Relevance Ranking in Practice. KDD Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo
2022	B	`conf`	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. IEEE Big Data Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022	J	`jnl`	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2021	—	`conf`	Generating Rich Product Descriptions for Conversational E-commerce Systems. WWW (Companion Volume) Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan
2021	J	`jnl`	Generating Rich Product Descriptions for Conversational E-commerce Systems. CoRR Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan
2021	A*	`conf`	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang
2021	J	`jnl`	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang
2021	—	`conf`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021	J	`jnl`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2020	Misc	`conf`	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan
2020	—	`conf`	A Real-Time Whole Page Personalization Framework for E-Commerce. IEEE BigData Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan
2020	J	`jnl`	A Real-Time Whole Page Personalization Framework for E-Commerce. CoRR Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan
2020	J	`jnl`	An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. CoRR Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan
2020	A	`conf`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	—	`conf`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	Product Title Generation for Conversational Systems using BERT. CoRR Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen D. Guo, Kannan Achan
2019	J	`jnl`	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan
2019	J	`jnl`	Complementary-Similarity Learning using Quadruplet Network. CoRR Mansi Ranjit Mane, Stephen D. Guo, Kannan Achan
2019	—	`conf`	Recovery-oriented Big Data Computing for Exactly Once Message Processing. IEEE BigData Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen D. Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan
2017	—	`conf`	Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing. BigDataService Feng Mao, Edgar Blanco, Mingang Fu, Rohit Jain, Anurag Gupta, Sebastien Mancel, Rong Yuan, Stephen D. Guo, Sai Kumar, Yayang Tian
2017	J	`jnl`	Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing. CoRR Feng Mao, Edgar Blanco, Mingang Fu, Rohit Jain, Anurag Gupta, Sebastien Mancel, Rong Yuan, Stephen D. Guo, Sai Kumar, Yayang Tian
2013	J	`jnl`	Automated cellular annotation for high-resolution images of adult Bioinform. 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
2013	—	`conf`	To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL Stephen D. Guo, Ming-Wei Chang, Emre Kiciman