Stephen Guo

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All published works

Action	Title	Year	Authors
+	Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce	2023	Yibo Wang Yanbing Xue Liu Bo Musen Wen Wenting Zhao Stephen Guo Philip S. Yu
+ PDF Chat	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders	2022	Xiaohan Li Zheng Liu Luyi Ma Kaushiki Nag Stephen Guo Philip S. Yu Kannan Achan
+	Causal Structure Learning with Recommendation System	2022	Shuyuan Xu D. A. Maximov Evren Körpeoğlu Sushant Kumar Stephen Guo Kannan Achan Yongfeng Zhang
+	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders	2022	Xiaohan Li Zheng Liu Lüyi Ma Kaushiki Nag Stephen Guo Philip S. Yu Kannan Achan
+ PDF Chat	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network	2021	Xiaohan Li Zhiwei Liu Stephen Guo Zheng Liu Hao Peng Philip S. Yu Kannan Achan
+ PDF Chat	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network	2021	Xiaohan Li Zhiwei Liu Stephen Guo Zheng Liu Hao Peng Philip S. Yu Kannan Achan
+ PDF Chat	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer	2021	Yiling Jia Huazheng Wang Stephen Guo Hongning Wang
+ PDF Chat	Generating Rich Product Descriptions for Conversational E-commerce Systems	2021	Shashank Kedia Aditya Mantha Sneha Gupta Stephen Guo Kannan Achan
+	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network	2021	Xiaohan Li Zhiwei Liu Stephen Guo Zheng Liu Hao Peng Philip S. Yu Kannan Achan
+ PDF Chat	A Real-Time Whole Page Personalization Framework for E-Commerce	2020	Aditya Mantha Anirudha Sundaresan Shashank Kedia Yokila Arora Shubham Gupta Gaoyang Wang Praveenkumar Kanumala Stephen Guo Kannan Achan
+ PDF Chat	Basket Recommendation with Multi-Intent Translation Graph Neural Network	2020	Zhiwei Liu Xiaohan Li Ziwei Fan Stephen Guo Kannan Achan Philip S. Yu
+	A Real-Time Whole Page Personalization Framework for E-Commerce	2020	Aditya Mantha Anirudha Sundaresan Shashank Kedia Yokila Arora Shubham Gupta Wang Gao-yang Praveenkumar Kanumala Stephen Guo Kannan Achan
+ PDF Chat	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations	2020	Aditya Mantha Yokila Arora Shubham Gupta Praveenkumar Kanumala Zhiwei Liu Stephen Guo Kannan Achan
+	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network	2020	Zhiwei Liu Mengting Wan Stephen Guo Kannan Achan Philip S. Yu
+	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network	2020	Zhiwei Liu Mengting Wan Stephen Guo Kannan Achan Philip S. Yu
+	Product Title Generation for Conversational Systems using BERT	2020	Mansi Ranjit Mane Shashank Kedia Aditya Mantha Stephen Guo Kannan Achan
+	Basket Recommendation with Multi-Intent Translation Graph Neural Network	2020	Zhiwei Liu Xiaohan Li Ziwei Fan Stephen Guo Kannan Achan Philip S. Yu
+	An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce	2020	Rahul Radhakrishnan Iyer Praveenkumar Kanumala Stephen Guo Kannan Achan
+	A Real-Time Whole Page Personalization Framework for E-Commerce	2020	Aditya Mantha Anirudha Sundaresan Shashank Kedia Yokila Arora Shubham Gupta Gaoyang Wang Praveenkumar Kanumala Stephen Guo Kannan Achan
+	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations	2019	Aditya Mantha Yokila Arora Shubham Gupta Praveenkumar Kanumala Zhiwei Liu Stephen Guo Kannan Achan
+	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations	2019	Aditya Mantha Yokila Arora Shubham Gupta Praveenkumar Kanumala Zhiwei Liu Stephen Guo Kannan Achan
+	Complementary-Similarity Learning using Quadruplet Network	2019	Mansi Ranjit Mane Stephen Guo Kannan Achan
+ PDF Chat	Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing	2017	Feng Mao Edgar E. 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	2017	Feng Mao Edgar E. Blanco Mingang Fu Rohit Jain Anurag Gupta Sebastien Mancel Rong Yuan Stephen Guo Sai Kumar Yayang Tian
+	The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice	2011	Stephen Guo Mengqiu Wang Jure Leskovec

Common Coauthors

Coauthor	Papers Together
Kannan Achan	20
Philip S. Yu	10
Zhiwei Liu	8
Aditya Mantha	8
Xiaohan Li	7
Praveenkumar Kanumala	7
Yokila Arora	6
Shashank Kedia	5
Shubham Gupta	4
Zheng Liu	3
Zhiwei Liu	2
Yayang Tian	2
Sebastien Mancel	2
Mansi Ranjit Mane	2
Gaoyang Wang	2
Anirudha Sundaresan	2
Ziwei Fan	2
Mingang Fu	2
Mengting Wan	2
Anurag Gupta	2
Rong Yuan	2
Kaushiki Nag	2
Sai Kumar	2
Feng Mao	2
Shubham Gupta	2
Zheng Liu	2
Hao Peng	2
Rohit Jain	2
Edgar E. Blanco	2
Rahul Radhakrishnan Iyer	1
Hongning Wang	1
Sushant Kumar	1
Jure Leskovec	1
Lüyi Ma	1
Evren Körpeoğlu	1
Yongfeng Zhang	1
Mengqiu Wang	1
Yibo Wang	1
Wenting Zhao	1
Luyi Ma	1
Sneha Gupta	1
Musen Wen	1
Yiling Jia	1
Liu Bo	1
Shuyuan Xu	1
Hao Peng	1
Wang Gao-yang	1
Huazheng Wang	1
Yanbing Xue	1
D. A. Maximov	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Inferring Networks of Substitutable and Complementary Products	2015	Julian McAuley Rahul Pandey Jure Leskovec	6
+ PDF Chat	ITEM2VEC: Neural item embedding for collaborative filtering	2016	Oren Barkan Noam Koenigstein	6
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	6
+ PDF Chat	Spectral collaborative filtering	2018	Lei Zheng Chun-Ta Lu Fei Jiang Jiawei Zhang Philip S. Yu	5
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	5
+ PDF Chat	Neural Graph Collaborative Filtering	2019	Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat‐Seng Chua	5
+	Graph Convolutional Matrix Completion	2017	Rianne van den Berg Thomas Kipf Max Welling	5
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	5
+	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network	2020	Zhiwei Liu Mengting Wan Stephen Guo Kannan Achan Philip S. Yu	4
+ PDF Chat	Dynamic Graph Collaborative Filtering	2020	Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu	4
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	4
+ PDF Chat	Heterogeneous Similarity Graph Neural Network on Electronic Health Records	2020	Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu	4
+	Unbiased Learning-to-Rank with Biased Feedback	2017	Thorsten Joachims Adith Swaminathan Tobias Schnabel	3
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	3
+	Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.	2019	Da Xu Chuanwei Ruan Evren Körpeoğlu Sushant Kumar Kannan Achan	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Bundle Recommendation with Graph Convolutional Networks	2020	Jianxin Chang Chen Gao Xiangnan He Depeng Jin Yong Li	3
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	3
+ PDF Chat	Complete the Look: Scene-Based Complementary Product Recommendation	2019	Wang-Cheng Kang Eric Kim Jure Leskovec Charles Rosenberg Julian McAuley	3
+ PDF Chat	IntentGC	2019	Jun Zhao Zhou Zhou Ziyu Guan Wei Zhao Wei Ning Guang Qiu Xiaofei He	3
+ PDF Chat	Basket Recommendation with Multi-Intent Translation Graph Neural Network	2020	Zhiwei Liu Xiaohan Li Ziwei Fan Stephen Guo Kannan Achan Philip S. Yu	3
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	3
+ PDF Chat	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters	2020	Yingtong Dou Zhiwei Liu Li Sun Yutong Deng Hao Peng Philip S. Yu	3
+ PDF Chat	Knowledge-aware Complementary Product Representation Learning	2020	Da Xu Chuanwei Ruan Jason Cho Evren Körpeoğlu Sushant Kumar Kannan Achan	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Inductive Representation Learning on Temporal Graphs	2020	Da Xu Chuanwei Ruan Evren Körpeoğlu Sushant Kumar Kannan Achan	2
+ PDF Chat	SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval	2017	Jian Zhang Yuxin Peng	2
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	2
+	Composition-based Multi-Relational Graph Convolutional Networks	2019	Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha Talukdar	2
+ PDF Chat	Deep Reinforcement Learning for Image Hashing	2019	Yuxin Peng Jian Zhang Zhaoda Ye	2
+ PDF Chat	Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations	2014	Luo Chen Wei Pang Zhe Wang Chenghua Lin	2
+	Sequence-to-Sequence RNNs for Text Summarization	2016	Ramesh Nallapati Bing Xiang Bowen Zhou	2
+ PDF Chat	Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	Qimai Li Zhichao Han Xiao-Ming Wu	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	On the Properties of Neural Machine Translation: Encoder–Decoder Approaches	2014	Kyunghyun Cho Bart van Merriënboer Dzmitry Bahdanau Yoshua Bengio	2
+	Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks	2019	Hao Peng Jianxin Li Qiran Gong Yangqiu Song Yuanxin Ning Kunfeng Lai Philip S. Yu	2
+ PDF Chat	Graph Intention Network for Click-through Rate Prediction in Sponsored Search	2019	Feng Li Zhenrui Chen Pengjie Wang Yi Ren Di Zhang Xiaoyu Zhu	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+ PDF Chat	Neural Factorization Machines for Sparse Predictive Analytics	2017	Xiangnan He Tat‐Seng Chua	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	Sample Efficient Text Summarization Using a Single Pre-Trained Transformer	2019	Urvashi Khandelwal Kevin Clark Dan Jurafsky Łukasz Kaiser	2
+ PDF Chat	Holographic Embeddings of Knowledge Graphs	2016	Maximilian Nickel Lorenzo Rosasco Tomaso Poggio	2
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+ PDF Chat	KGAT	2019	Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat‐Seng Chua	2
+ PDF Chat	Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences	2015	Andreas Veit Balázs Kovács Sean Bell Julian McAuley Kavita Bala Serge Belongie	2
+ PDF Chat	SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents	2017	Ramesh Nallapati Feifei Zhai Bowen Zhou	2
+ PDF Chat	End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion	2019	Chao Shang Yun Tang Jing Huang Jinbo Bi Xiaodong He Bowen Zhou	2
+ PDF Chat	Translation-based Recommendation	2017	Ruining He Wang-Cheng Kang Julian McAuley	2
+ PDF Chat	Multi-Source Pointer Network for Product Title Summarization	2018	Fei Sun Peng Jiang Hanxiao Sun Changhua Pei Wenwu Ou Xiaobo Wang	2
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	2