Unwrapping phases by relaxed mean field inference. - Kannan Achan; Brendan J. Frey; Ralf Koetter; David C. Munson Jr. (ICASSP, 2001)

A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. - Kannan Achan; Brendan J. Frey; Ralf Koetter (UAI, 2001)

Phase unwrapping by minimizing Kikuchi free energy. - Kannan Achan; Brendan J. Frey; Ralf Koetter; David C. Munson (IGARSS, 2002)

Robust variational speech separation using fewer microphones than speakers. - Steven J. Rennie; Parham Aarabi; Trausti T. Kristjansson; Brendan J. Frey; Kannan Achan (ICASSP (1), 2003)

Unsupervised Image Translation. - Rómer Rosales; Kannan Achan; Brendan J. Frey (ICCV, 2003)

Probabilistic Inference of Speech Signals from Phaseless Spectrograms. - Kannan Achan; Sam T. Roweis; Brendan J. Frey (NIPS, 2003)

Learning to cluster using local neighborhood structure. - Rómer Rosales; Kannan Achan; Brendan J. Frey (ICML, 2004)

Variational Speech Separation of More Sources than Mixtures. - Steven J. Rennie; Kannan Achan; Brendan J. Frey; Parham Aarabi (AISTATS, 2005)

A segment based probabilistic generative model of speech. - Kannan Achan; Sam T. Roweis; Aaron Hertzmann; Brendan J. Frey (ICASSP (5), 2005)

How dynamic are IP addresses? - Yinglian Xie; Fang Yu 002; Kannan Achan; Eliot Gillum; Moisés Goldszmidt; Ted Wobber (SIGCOMM, 2007)

Probabilistic models of time-domain speech signals. - Kannan Achan (2007)

Continuously-adaptive discretization for message-passing algorithms. - Michael Isard; John MacCormick; Kannan Achan (NIPS, 2008)

Spamming botnets: signatures and characteristics. - Yinglian Xie; Fang Yu 002; Kannan Achan; Rina Panigrahy; Geoff Hulten; Ivan Osipkov (SIGCOMM, 2008)

Using the wisdom of the crowds for keyword generation. - Ariel Fuxman; Panayiotis Tsaparas; Kannan Achan; Rakesh Agrawal 001 (WWW, 2008)

A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields - Kannan Achan; Brendan J. Frey; Ralf Koetter (CoRR, 2013)

Robust Counterfactual Inferences using Feature Learning and their Applications. - Abhimanyu Mitra; Kannan Achan; Sushant Kumar (CoRR, 2018)

Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. - Luyi Ma; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE BigData, 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 (IEEE BigData, 2019)

Generative Graph Convolutional Network for Growing Graphs. - Da Xu; Chuanwei Ruan; Kamiya Motwani; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICASSP, 2019)

Self-attention with Functional Time Representation Learning. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (NeurIPS, 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)

Complementary-Similarity Learning using Quadruplet Network. - Mansi Ranjit Mane; Stephen D. Guo; Kannan Achan (CoRR, 2019)

Basket Recommendation with Multi-Intent Translation Graph Neural Network. - Zhiwei Liu 001; Xiaohan Li 001; Ziwei Fan 001; Stephen D. Guo; Kannan Achan; Philip S. Yu (IEEE BigData, 2020)

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. - Venugopal Mani; Ramasubramanian Balasubramanian; Sushant Kumar; Abhinav Mathur; Kannan Achan (IEEE BigData, 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 (IEEE BigData, 2020)

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. - Aditya Mantha; Yokila Arora; Shubham Gupta; Praveenkumar Kanumala; Zhiwei Liu 001; Stephen D. Guo; Kannan Achan (ICASSP, 2020)

Inductive representation learning on temporal graphs. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2020)

Adversarial Counterfactual Learning and Evaluation for Recommender System. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (NeurIPS, 2020)

Personalizing Item Recommendation via Price Understanding. - Soumya Wadhwa; Ashish Ranjan; Selene Xu; Jason H. D. Cho; Sushant Kumar; Kannan Achan (ComplexRec-ImpactRS@RecSys, 2020)

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. - Zhiwei Liu 001; Mengting Wan; Stephen D. Guo; Kannan Achan; Philip S. Yu (SDM, 2020)

Data Poisoning Attacks against Differentially Private Recommender Systems. - Soumya Wadhwa; Saurabh Agrawal; Harsh Chaudhari; Deepthi Sharma; Kannan Achan (SIGIR, 2020)

Knowledge-aware Complementary Product Representation Learning. - Da Xu; Chuanwei Ruan; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2020)

Product Knowledge Graph Embedding for E-commerce. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2020)

Product Title Generation for Conversational Systems using BERT. - Mansi Ranjit Mane; Shashank Kedia; Aditya Mantha; Stephen D. Guo; Kannan Achan (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)

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)

GAN-based Recommendation with Positive-Unlabeled Sampling. - Yao Zhou; Jianpeng Xu; Jun Wu 019; Zeinab Taghavi Nasrabadi; Evren Körpeoglu; Kannan Achan; Jingrui He (CoRR, 2020)

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. - Xiaohan Li 001; Zhiwei Liu 001; Stephen D. Guo; Zheng Liu 017; Hao Peng 001; Philip S. Yu; Kannan Achan (IEEE BigData, 2021)

Event-based Product Carousel Recommendation with Query-Click Graph. - Luyi Ma; Nimesh Sinha; Parth Vajge; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE BigData, 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 (IEEE BigData, 2021)

A Temporal Kernel Approach for Deep Learning with Continuous-time Information. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2021)

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICML, 2021)

Towards the D-Optimal Online Experiment Design for Recommender Selection. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (KDD, 2021)

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. - Yao Zhou; Jianpeng Xu; Jun Wu 019; Zeinab Taghavi Nasrabadi; Evren Körpeoglu; Kannan Achan; Jingrui He (KDD, 2021)

Theoretical Understandings of Product Embedding for E-commerce Machine Learning. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2021)

Generating Rich Product Descriptions for Conversational E-commerce Systems. - Shashank Kedia; Aditya Mantha; Sneha Gupta; Stephen D. Guo; Kannan Achan (WWW (Companion Volume), 2021)

Variational Inference for Category Recommendation in E-Commerce platforms. - Ramasubramanian Balasubramanian; Venugopal Mani; Abhinav Mathur; Sushant Kumar; Kannan Achan (CoRR, 2021)

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. - Xiaohan Li 001; Zheng Liu 017; Luyi Ma; Kaushiki Nag; Stephen D. Guo; Philip S. Yu; Kannan Achan (IEEE Big Data, 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 (IEEE Big Data, 2022)

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. - Da Xu; Yuting Ye; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2022)

Causal Structure Learning with Recommendation System. - Shuyuan Xu; Da Xu; Evren Körpeoglu; Sushant Kumar; Stephen D. Guo; Kannan Achan; Yongfeng Zhang (CoRR, 2022)

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 (IEEE Big Data, 2023)

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. - Luyi Ma; Nikhil Thakurdesai; Jiao Chen 005; Jianpeng Xu; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 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 (IEEE Big Data, 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 (ICDM (Workshops), 2023)

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Nikhil Thakurdesai; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2023)

Seller-side Outcome Fairness in Online Marketplaces. - Zikun Ye; Reza Yousefi Maragheh; Lalitesh Morishetti; Shanu Vashishtha; Jason Cho 001; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2023)

Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning. - Xiaohan Li 001; Zezhong Fan; Luyi Ma; Kaushiki Nag; Kannan Achan (IEEE Big Data, 2024)

Improving Sequential Recommender Systems with Online and In-store User Behavior. - Luyi Ma; Aashika Padmanabhan; Anjana Ganesh; Shengwei Tang; Jiao Chen 005; Xiaohan Li 001; Lalitesh Morishetti; Kaushiki Nag; Malay Patel; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE Big Data, 2024)

Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. - Shanu Vashishtha; Abhay Kumar; Lalitesh Morishetti; Kaushiki Nag; Kannan Achan (ECAI, 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 (KDD, 2024)

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. - Chenhao Fang; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (SIGIR, 2024)

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. - Zezhong Fan; Xiaohan Li 001; Kaushiki Nag; Chenhao Fang; Topojoy Biswas; Jianpeng Xu; Kannan Achan (WWW (Companion Volume), 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)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. - Luyi Ma; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Jason H. D. Cho; Praveenkumar Kanumala; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 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)

Relation labeling in product knowledge graphs with large language models for e-commerce. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Int. J. Mach. Learn. Cybern., 2024)

Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels. - Keerthi Gopalakrishnan; Tianning Dong; Chia-Yen Ho; Yokila Arora; Topojoy Biswas; Jason Cho 001; Sushant Kumar; Kannan Achan (WWW (Companion Volume), 2025)

ROSI: A hybrid solution for omni-channel feature integration in E-commerce. - Luyi Ma; Shengwei Tang; Anjana Ganesh; Jiao Chen 005; Aashika Padmanabhan; Malay Patel; Jianpeng Xu; Jason Cho 001; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Data Knowl. Eng., 2025)

LLM-driven Constrained Copy Generation through Iterative Refinement. - Varun Vasudevan; Faezeh Akhavizadegan; Abhinav Prakash; Yokila Arora; Jason H. D. Cho; Tanya Mendiratta; Sushant Kumar; Kannan Achan (CoRR, 2025)

CARTS: Collaborative Agents for Recommendation Textual Summarization. - Jiao Chen 005; Kehui Yao; Reza Yousefi Maragheh; Kai Zhao; Jianpeng Xu; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2025)

CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design. - Najmeh Forouzandehmehr; Reza Yousefi Maragheh; Sriram Kollipara; Kai Zhao; Topojoy Biswas; Evren Körpeoglu; Kannan Achan (CoRR, 2025)

S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe. - Yanan Cao; Omid Memarrast; Shiqin Cai; Sinduja Subramaniam; Evren Körpeoglu; Kannan Achan (CoRR, 2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)

VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. - Ramin Giahi; Kehui Yao; Sriram Kollipara; Kai Zhao; Vahid Mirjalili; Jianpeng Xu; Topojoy Biswas; Evren Körpeoglu; Kannan Achan (CoRR, 2025)

Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. - Lalitesh Morishetti; Abhay Kumar; Jonathan Scott; Kaushiki Nag; Gunjan Sharma; Shanu Vashishtha; Rahul Sridhar; Rohit Chatter; Kannan Achan (CoRR, 2025)