Kannan Achan - researchr alias

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Viewing Publication 1 - 54 from 54

2024

Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive LearningXiaohan Li 0001, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan. bigdataconf 2024: 2162-2169 [doi]

Relation labeling in product knowledge graphs with large language models for e-commerceJiao Chen, Luyi Ma, Xiaohan Li 0001, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan. mlc, 15(12):5725-5743, December 2024. [doi]

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept UnderstandingZezhong Fan, Xiaohan Li 0001, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan. WWW 2024: 1530-1537 [doi]

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value ExtractionChenhao Fang, Xiaohan Li 0001, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan. sigir 2024: 2910-2914 [doi]

Personalized diversification of complementary recommendations with user preference in online groceryLuyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan. fdata, 6, 2024. [doi]

Improving Sequential Recommender Systems with Online and In-store User BehaviorLuyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li 0001, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan. bigdataconf 2024: 3544-3549 [doi]

Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce BannersShanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan. kdd 2024: 5825-5835 [doi]

Leveraging User-Generated Reviews for Recommender Systems with Dynamic HeadersShanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan. ecai 2024: 4734-4740 [doi]

2023

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMsNajmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan. bigdataconf 2023: 1-7 [doi]

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item RecommendationRamin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. icdm 2023: 1484-1492 [doi]

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data ProcessingLuyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan. bigdataconf 2023: 3144-3148 [doi]

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language ModelsReza 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. bigdataconf 2023: 4318-4324 [doi]

2022

2021

Generating Rich Product Descriptions for Conversational E-commerce SystemsShashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan. WWW 2021: 349-356 [doi]

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural NetworkXiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan. bigdataconf 2021: 457-468 [doi]

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy EvaluationLuyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. bigdataconf 2021: 469-479 [doi]

Event-based Product Carousel Recommendation with Query-Click GraphLuyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan. bigdataconf 2021: 4119-4125 [doi]

Theoretical Understandings of Product Embedding for E-commerce Machine LearningDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. wsdm 2021: 256-264 [doi]

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical PerspectivesDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. icml 2021: 11514-11524 [doi]

Towards the D-Optimal Online Experiment Design for Recommender SelectionDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. kdd 2021: 3817-3825 [doi]

A Temporal Kernel Approach for Deep Learning with Continuous-time InformationDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. iclr 2021: [doi]

PURE: Positive-Unlabeled Recommendation with Generative Adversarial NetworkYao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He. kdd 2021: 2409-2419 [doi]

2020

Basket Recommendation with Multi-Intent Translation Graph Neural NetworkZhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu. bigdataconf 2020: 728-737 [doi]

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural NetworkZhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu. sdm 2020: 64-72 [doi]

On Variational Inference for User Modeling in Attribute-Driven Collaborative FilteringVenugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan. bigdataconf 2020: 3156-3164 [doi]

A Large-Scale Deep Architecture for Personalized Grocery Basket RecommendationsAditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan. icassp 2020: 3807-3811 [doi]

A Real-Time Whole Page Personalization Framework for E-CommerceAditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan. bigdataconf 2020: 4646-4650 [doi]

Personalizing Item Recommendation via Price UnderstandingSoumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan. recsys 2020: [doi]

Data Poisoning Attacks against Differentially Private Recommender SystemsSoumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan. sigir 2020: 1617-1620 [doi]

Product Knowledge Graph Embedding for E-commerceDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. wsdm 2020: 672-680 [doi]

Adversarial Counterfactual Learning and Evaluation for Recommender SystemDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. nips 2020: [doi]

Inductive representation learning on temporal graphsDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. iclr 2020: [doi]

Knowledge-aware Complementary Product Representation LearningDa Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. wsdm 2020: 681-689 [doi]

2019

2008

2007

Probabilistic models of time-domain speech signalsKannan Achan. PhD thesis, University of Toronto, Canada, 2007. [doi]

How dynamic are IP addresses?Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, Ted Wobber. sigcomm 2007: 301-312 [doi]

2005

A segment based probabilistic generative model of speechKannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey. icassp 2005: 221-224 [doi]

Variational Speech Separation of More Sources than MixturesSteven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi. aistats 2005: 293-300 [doi]

2004

Learning to cluster using local neighborhood structureRómer Rosales, Kannan Achan, Brendan J. Frey. icml 2004: [doi]

2003

2002

Phase unwrapping by minimizing Kikuchi free energyKannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson. igarss 2002: 1738-1740 [doi]

2001

Unwrapping phases by relaxed mean field inferenceKannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.. icassp 2001: 1901-1904 [doi]

A Factorized Variational Technique for Phase Unwrapping in Markov Random FieldKannan Achan, Brendan J. Frey, Ralf Koetter. uai 2001: 1-6 [doi]

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