Kannan Achan - RankMe

121 papers A* 18A 10B 8C 1Misc 3Journal 62Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Campaign-2-PT-RAG: LLM-Guided Semantic Product Type Attribution for Scalable Campaign Ranking. CoRR Yiming Che, Mansi Ranjit Mane, Keerthi Gopalakrishnan, Parisa Kaghazgaran, Murali Mohana Krishna Dandu, Archana Venkatachalapathy, Sinduja Subramaniam, Yokila Arora, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2026	A*	`conf`	Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction. WWW Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026	J	`jnl`	Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction. CoRR Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026	J	`jnl`	Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels. CoRR Keerthi Gopalakrishnan, Tianning Dong, Chia-Yen Ho, Yokila Arora, Topojoy Biswas, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2026	A*	`conf`	Segment and Matte Anything in a Unified Model. AAAI Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2026	J	`jnl`	Segment and Matte Anything in a Unified Model. CoRR Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2025	J	`jnl`	CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design. CoRR Najmeh Forouzandehmehr, Reza Yousefi Maragheh, Sriram Kollipara, Kai Zhao, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025	J	`jnl`	CARTS: Collaborative Agents for Recommendation Textual Summarization. CoRR Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025	J	`jnl`	Causal Structure Learning for Recommender System. Trans. Recomm. Syst. Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
2025	A	`conf`	GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. RecSys Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025	J	`jnl`	GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. CoRR Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025	J	`jnl`	Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context. CoRR Akshay Kekuda, Murali Mohana Krishna Dandu, Rimita Lahiri, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan
2025	J	`jnl`	LLM-driven Constrained Copy Generation through Iterative Refinement. CoRR Varun Vasudevan, Faezeh Akhavizadegan, Abhinav Prakash, Yokila Arora, Jason H. D. Cho, Tanya Mendiratta, Sushant Kumar, Kannan Achan
2025	—	`conf`	Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels. WWW (Companion Volume) Keerthi Gopalakrishnan, Tianning Dong, Chia-Yen Ho, Yokila Arora, Topojoy Biswas, Jason Cho, Sushant Kumar, Kannan Achan
2025	J	`jnl`	LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning. CoRR Zezhong Fan, Xiaohan Li, Luyi Ma, Kai Zhao, Liang Peng, Topojoy Biswas, Evren Körpeoglu, Kaushiki Nag, Kannan Achan
2025	J	`jnl`	No-Human in the Loop: Agentic Evaluation at Scale for Recommendation. CoRR Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025	B	`conf`	Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. IEEE Big Data Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan
2025	J	`jnl`	Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. CoRR Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan
2025	J	`jnl`	ROSI: A hybrid solution for omni-channel feature integration in E-commerce. Data Knowl. Eng. Luyi Ma, Shengwei Tang, Anjana Ganesh, Jiao Chen, Aashika Padmanabhan, Malay Patel, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025	J	`jnl`	S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe. CoRR Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan
2025	—	`conf`	S2SRec2: Set‑to‑Set Recommendation for Basket Completion with Recipe. eCom@SIGIR Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan
2025	J	`jnl`	Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding. CoRR Vahid Mirjalili, Ramin Giahi, Sriram Kollipara, Akshay Kekuda, Kehui Yao, Kai Zhao, Jianpeng Xu, Kaushiki Nag, Sinduja Subramaniam, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025	J	`jnl`	To See or To Read: User Behavior Reasoning in Multimodal LLMs. CoRR Tianning Dong, Luyi Ma, Varun Vasudevan, Jason Cho, Sushant Kumar, Kannan Achan
2025	A	`conf`	VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. RecSys Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025	J	`jnl`	VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. CoRR Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2024	A*	`conf`	Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. KDD Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024	J	`jnl`	Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners. CoRR Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024	J	`jnl`	Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. CoRR Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
2024	J	`jnl`	Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference. CoRR Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Körpeoglu, Kannan Achan
2024	J	`jnl`	Event-based Product Carousel Recommendation with Query-Click Graph. CoRR Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024	B	`conf`	Improving Sequential Recommender Systems with Online and In-store User Behavior. IEEE Big Data 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
2024	J	`jnl`	Improving Sequential Recommender Systems with Online and In-store User Behavior. CoRR Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan
2024	A*	`conf`	LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024	J	`jnl`	LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024	A	`conf`	Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. ECAI Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan
2024	J	`jnl`	Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. CoRR Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan
2024	B	`conf`	Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning. IEEE Big Data Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan
2024	J	`jnl`	Personalized diversification of complementary recommendations with user preference in online grocery. Frontiers Big Data Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024	—	`conf`	Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. WWW (Companion Volume) Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
2024	J	`jnl`	Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. CoRR Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
2024	J	`jnl`	Relation labeling in product knowledge graphs with large language models for e-commerce. Int. J. Mach. Learn. Cybern. Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024	J	`jnl`	Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. CoRR Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan
2023	B	`conf`	Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. IEEE Big Data Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
2023	—	`conf`	GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. ICDM (Workshops) Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023	J	`jnl`	GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. CoRR Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023	J	`jnl`	Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023	J	`jnl`	LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. CoRR 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
2023	B	`conf`	LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. IEEE Big Data 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
2023	B	`conf`	LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. IEEE Big Data Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023	J	`jnl`	LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. CoRR Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023	J	`jnl`	Seller-side Outcome Fairness in Online Marketplaces. CoRR Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan
2022	J	`jnl`	Causal Structure Learning with Recommendation System. CoRR Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang
2022	A*	`conf`	From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. ICLR Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022	B	`conf`	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. IEEE Big Data Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022	J	`jnl`	Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022	J	`jnl`	NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022	B	`conf`	Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. IEEE Big Data Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	A*	`conf`	A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	J	`jnl`	A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	—	`conf`	Event-based Product Carousel Recommendation with Query-Click Graph. IEEE BigData Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2021	—	`conf`	Generating Rich Product Descriptions for Conversational E-commerce Systems. WWW (Companion Volume) Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan
2021	J	`jnl`	Generating Rich Product Descriptions for Conversational E-commerce Systems. CoRR Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan
2021	—	`conf`	NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	A*	`conf`	PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2021	—	`conf`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021	J	`jnl`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021	A*	`conf`	Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	J	`jnl`	Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	A	`conf`	Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	J	`jnl`	Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	A*	`conf`	Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	J	`jnl`	Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021	J	`jnl`	Variational Inference for Category Recommendation in E-Commerce platforms. CoRR Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan
2020	Misc	`conf`	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan
2020	—	`conf`	A Real-Time Whole Page Personalization Framework for E-Commerce. IEEE BigData Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan
2020	J	`jnl`	A Real-Time Whole Page Personalization Framework for E-Commerce. CoRR Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan
2020	A*	`conf`	Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	J	`jnl`	Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	J	`jnl`	An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. CoRR Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan
2020	A	`conf`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	—	`conf`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	A*	`conf`	Data Poisoning Attacks against Differentially Private Recommender Systems. SIGIR Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan
2020	J	`jnl`	GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2020	J	`jnl`	Inductive Representation Learning on Temporal Graphs. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	A*	`conf`	Inductive representation learning on temporal graphs. ICLR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	A	`conf`	Knowledge-aware Complementary Product Representation Learning. WSDM Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	J	`jnl`	On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs. CoRR Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar
2020	—	`conf`	On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. IEEE BigData Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
2020	J	`jnl`	On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. CoRR Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
2020	—	`conf`	Personalizing Item Recommendation via Price Understanding. ComplexRec-ImpactRS@RecSys Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2020	A	`conf`	Product Knowledge Graph Embedding for E-commerce. WSDM Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	J	`jnl`	Product Title Generation for Conversational Systems using BERT. CoRR Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen D. Guo, Kannan Achan
2019	J	`jnl`	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan
2019	J	`jnl`	Complementary-Similarity Learning using Quadruplet Network. CoRR Mansi Ranjit Mane, Stephen D. Guo, Kannan Achan
2019	Misc	`conf`	Generative Graph Convolutional Network for Growing Graphs. ICASSP Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019	J	`jnl`	Generative Graph Convolutional Network for Growing Graphs. CoRR Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019	J	`jnl`	Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019	J	`jnl`	Product Knowledge Graph Embedding for E-commerce. CoRR Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019	—	`conf`	Recovery-oriented Big Data Computing for Exactly Once Message Processing. IEEE BigData Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen D. Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan
2019	—	`conf`	Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. IEEE BigData Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2019	A*	`conf`	Self-attention with Functional Time Representation Learning. NeurIPS Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019	J	`jnl`	Self-attention with Functional Time Representation Learning. CoRR Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan
2018	J	`jnl`	Robust Counterfactual Inferences using Feature Learning and their Applications. CoRR Abhimanyu Mitra, Kannan Achan, Sushant Kumar
2013	J	`jnl`	A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields CoRR Kannan Achan, Brendan J. Frey, Ralf Koetter
2008	—	`conf`	Continuously-adaptive discretization for message-passing algorithms. NIPS Michael Isard, John MacCormick, Kannan Achan
2008	A*	`conf`	Spamming botnets: signatures and characteristics. SIGCOMM Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov
2008	A*	`conf`	Using the wisdom of the crowds for keyword generation. WWW Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, Rakesh Agrawal
2007	A*	`conf`	How dynamic are IP addresses? SIGCOMM Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, Ted Wobber
2007	—	`—`	Probabilistic models of time-domain speech signals. Kannan Achan
2005	—	`conf`	A segment based probabilistic generative model of speech. ICASSP (5) Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey
2005	A	`conf`	Variational Speech Separation of More Sources than Mixtures. AISTATS Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi
2004	A*	`conf`	Learning to cluster using local neighborhood structure. ICML Rómer Rosales, Kannan Achan, Brendan J. Frey
2003	—	`conf`	Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS Kannan Achan, Sam T. Roweis, Brendan J. Frey
2003	—	`conf`	Robust variational speech separation using fewer microphones than speakers. ICASSP (1) Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan
2003	A	`conf`	Robust variational speech separation using fewer microphones than speakers. ICME Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan
2003	A*	`conf`	Unsupervised Image Translation. ICCV Rómer Rosales, Kannan Achan, Brendan J. Frey
2002	C	`conf`	Phase unwrapping by minimizing Kikuchi free energy. IGARSS Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson
2001	A	`conf`	A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. UAI Kannan Achan, Brendan J. Frey, Ralf Koetter
2001	Misc	`conf`	Unwrapping phases by relaxed mean field inference. ICASSP Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.