Kannan Achan

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 72

Top Topics

Recommender Systems

Relational Graph

Theoretical Perspectives

Top Venues

Publications

Luyi Ma, Nimesh Sinha, Parth Vajge, Jason HD Cho, Sushant Kumar, Kannan Achan
Event-based Product Carousel Recommendation with Query-Click Graph. CoRR (2024)
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners. CoRR (2024)
Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. CoRR (2024)
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. KDD (2024)
Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Personalized diversification of complementary recommendations with user preference in online grocery. Frontiers Big Data 6 (2024)
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR (2024)
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR (2024)
Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. WWW (Companion Volume) (2024)
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. CoRR (2024)
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR (2023)
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. CoRR (2023)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. ICDM (Workshops) (2023)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. CoRR (2023)
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
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. BigData (2023)
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. BigData (2023)
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
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. CoRR (2023)
Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan
Seller-side Outcome Fairness in Online Marketplaces. CoRR (2023)
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. IEEE Big Data (2023)
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
Causal Structure Learning with Recommendation System. CoRR (2022)
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR (2022)
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. 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. 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)
Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. ICLR (2022)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM (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)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR (2021)
Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Event-based Product Carousel Recommendation with Query-Click Graph. 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)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML (2021)
Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan
Generating Rich Product Descriptions for Conversational E-commerce Systems. CoRR (2021)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD (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)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD (2021)
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData (2021)
Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan
Variational Inference for Category Recommendation in E-Commerce platforms. CoRR (2021)
Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan
Data Poisoning Attacks against Differentially Private Recommender Systems. SIGIR (2020)
Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Personalizing Item Recommendation via Price Understanding. ComplexRec-ImpactRS@RecSys (2020)
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)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR (2020)
Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar
On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs. CoRR (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Adversarial Counterfactual Learning and Evaluation for Recommender System. 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)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS (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)
Da Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge-aware Complementary Product Representation Learning. WSDM (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)
Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. 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. IEEE BigData (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Product Knowledge Graph Embedding for E-commerce. WSDM (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Inductive representation learning on temporal graphs. ICLR (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)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Inductive Representation Learning on Temporal Graphs. CoRR (2020)
Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. CoRR (2020)
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Generative Graph Convolutional Network for Growing Graphs. ICASSP (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. 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)
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan
Self-attention with Functional Time Representation Learning. CoRR (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Self-attention with Functional Time Representation Learning. NeurIPS (2019)
Mansi Ranjit Mane, Stephen Guo, Kannan Achan
Complementary-Similarity Learning using Quadruplet Network. CoRR (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR (2019)
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Generative Graph Convolutional Network for Growing Graphs. CoRR (2019)
Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. IEEE BigData (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Product Knowledge Graph Embedding for E-commerce. CoRR (2019)
Abhimanyu Mitra, Kannan Achan, Sushant Kumar
Robust Counterfactual Inferences using Feature Learning and their Applications. CoRR (2018)
Kannan Achan, Brendan J. Frey, Ralf Koetter
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields CoRR (2013)
Michael Isard, John MacCormick, Kannan Achan
Continuously-adaptive discretization for message-passing algorithms. NIPS (2008)
Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov
Spamming botnets: signatures and characteristics. SIGCOMM (2008)
Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, Rakesh Agrawal
Using the wisdom of the crowds for keyword generation. WWW (2008)
Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, Ted Wobber
How dynamic are IP addresses? SIGCOMM (2007)
Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey
A segment based probabilistic generative model of speech. ICASSP (5) (2005)
Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi
Variational Speech Separation of More Sources than Mixtures. AISTATS (2005)
Rómer Rosales, Kannan Achan, Brendan J. Frey
Learning to cluster using local neighborhood structure. ICML (2004)
Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan
Robust variational speech separation using fewer microphones than speakers. ICASSP (1) (2003)
Rómer Rosales, Kannan Achan, Brendan J. Frey
Unsupervised Image Translation. ICCV (2003)
Kannan Achan, Sam T. Roweis, Brendan J. Frey
Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS (2003)
Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan
Robust variational speech separation using fewer microphones than speakers. ICME (2003)
Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson
Phase unwrapping by minimizing Kikuchi free energy. IGARSS (2002)
Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.
Unwrapping phases by relaxed mean field inference. ICASSP (2001)
Kannan Achan, Brendan J. Frey, Ralf Koetter
A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. UAI (2001)