Kannan Achan

According to our database, Kannan Achan authored at least 67 papers between 2001 and 2024.

Collaborative distances:

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

2024

Relation labeling in product knowledge graphs with large language models for e-commerce.

Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Int. J. Mach. Learn. Cybern., December, 2024

Personalized diversification of complementary recommendations with user preference in online grocery.

Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan

Frontiers Big Data, 2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.

Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2024

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference.

Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Körpeoglu, Kannan Achan

CoRR, 2024

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.

Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners.

Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers.

Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Sequential Recommender Systems with Online and In-store User Behavior.

Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2024

Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning.

Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Seller-side Outcome Fairness in Online Marketplaces.

Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2023

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.

Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.

Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Data Mining, 2023

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.

Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.

Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.

Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 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

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.

Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.

Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 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

Variational Inference for Category Recommendation in E-Commerce platforms.

Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan

CoRR, 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

Theoretical Understandings of Product Embedding for E-commerce Machine Learning.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '21, 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards the D-Optimal Online Experiment Design for Recommender Selection.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 38th International Conference on Machine Learning, 2021

A Temporal Kernel Approach for Deep Learning with Continuous-time Information.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 9th International Conference on Learning Representations, 2021

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.

Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

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

Event-based Product Carousel Recommendation with Query-Click Graph.

Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan

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

GAN-based Recommendation with Positive-Unlabeled Sampling.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

CoRR, 2020

On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs.

Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar

CoRR, 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

Product Knowledge Graph Embedding for E-commerce.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Knowledge-aware Complementary Product Representation Learning.

Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Data Poisoning Attacks against Differentially Private Recommender Systems.

Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 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

Personalizing Item Recommendation via Price Understanding.

Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan

Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Adversarial Counterfactual Learning and Evaluation for Recommender System.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Inductive representation learning on temporal graphs.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 8th International Conference on Learning Representations, 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

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering.

Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, 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

Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2019

Self-attention with Functional Time Representation Learning.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Graph Convolutional Network for Growing Graphs.

Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Acoustics, 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

Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries.

Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan

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

2018

Robust Counterfactual Inferences using Feature Learning and their Applications.

Abhimanyu Mitra, Kannan Achan, Sushant Kumar

CoRR, 2018

2013

A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields

Kannan Achan, Brendan J. Frey, Ralf Koetter

CoRR, 2013

2008

Using the wisdom of the crowds for keyword generation.

Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, Rakesh Agrawal

Proceedings of the 17th International Conference on World Wide Web, 2008

Spamming botnets: signatures and characteristics.

Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov

Proceedings of the ACM SIGCOMM 2008 Conference on Applications, 2008

Continuously-adaptive discretization for message-passing algorithms.

Michael Isard, John MacCormick, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Probabilistic models of time-domain speech signals.

Kannan Achan

PhD thesis, 2007

How dynamic are IP addresses?

Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, Ted Wobber

Proceedings of the ACM SIGCOMM 2007 Conference on Applications, 2007

2005

A segment based probabilistic generative model of speech.

Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Variational Speech Separation of More Sources than Mixtures.

Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Learning to cluster using local neighborhood structure.

Rómer Rosales, Kannan Achan, Brendan J. Frey

Proceedings of the Machine Learning, 2004

2003

Probabilistic Inference of Speech Signals from Phaseless Spectrograms.

Kannan Achan, Sam T. Roweis, Brendan J. Frey

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Unsupervised Image Translation.

Rómer Rosales, Kannan Achan, Brendan J. Frey

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Robust variational speech separation using fewer microphones than speakers.

Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Phase unwrapping by minimizing Kikuchi free energy.

Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

2001

A Factorized Variational Technique for Phase Unwrapping in Markov Random Field.

Kannan Achan, Brendan J. Frey, Ralf Koetter

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Unwrapping phases by relaxed mean field inference.

Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.

Proceedings of the IEEE International Conference on Acoustics, 2001