Kannan Achan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
17
Active years
2001–2026
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Segment and Matte Anything in a Unified Model. | Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan |
| 2026 | WWW | Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction. | Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Krpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan |
| 2026 | WWW | Campaign-2-PT-RAG: LLM-Guided Semantic Product Type Attribution for Scalable Campaign Ranking. | Yiming Che, Mansi Ranjit Mane, Keerthi Gopalakrishnan, Parisa Kaghazgaran, Murali Mohana Krishna Dandu, Archana Venkatachalapathy, Sinduja Subramaniam, Yokila Arora, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2026 | WWW | Triple Modality Fusion: Aligning Visual, Textual, and Graph Data for LLM-based Multi-Behavior Recommender Systems. | Luyi Ma, Xiaohan Li, Zezhong Fan, Kai Zhao, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2026 | SIGIR | CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation. | Yanan Cao, Ashish Ranjan, Sinduja Subramaniam, Evren Krpeoglu, Kaushiki Nag, Kannan Achan |
| 2025 | RecSys | 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 Krpeoglu, Kannan Achan |
| 2025 | RecSys | 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 H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2025 | WWW | 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, Sushant Kumar, Kannan Achan |
| 2024 | ECAI | Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. | Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan |
| 2024 | KDD | 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 |
| 2024 | WWW | 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 |
| 2024 | SIGIR | 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 Krpeoglu, Sushant Kumar, Kannan Achan |
| 2023 | ICDM | 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 Krpeoglu, Sushant Kumar, Kannan Achan |
| 2022 | ICLR | From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. | Da Xu, Yuting Ye, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | ICLR | A Temporal Kernel Approach for Deep Learning with Continuous-time Information. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | ICML | Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | KDD | Towards the D-Optimal Online Experiment Design for Recommender Selection. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | KDD | PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. | Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Krpeoglu, Kannan Achan, Jingrui He |
| 2021 | WWW | Generating Rich Product Descriptions for Conversational E-commerce Systems. | Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan |
| 2021 | WSDM | Theoretical Understandings of Product Embedding for E-commerce Machine Learning. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2020 | ICASSP | 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 |
| 2020 | ICLR | Inductive representation learning on temporal graphs. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2020 | RecSys | Personalizing Item Recommendation via Price Understanding. | Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan |
| 2020 | SIGIR | Data Poisoning Attacks against Differentially Private Recommender Systems. | Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan |
| 2020 | WSDM | Knowledge-aware Complementary Product Representation Learning. | Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2020 | WSDM | Product Knowledge Graph Embedding for E-commerce. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2020 | SDM | BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. | Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu |
| 2019 | ICASSP | Generative Graph Convolutional Network for Growing Graphs. | Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2008 | WWW | Using the wisdom of the crowds for keyword generation. | Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, Rakesh Agrawal |
| 2008 | SIGCOMM | Spamming botnets: signatures and characteristics. | Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov |
| 2007 | SIGCOMM | How dynamic are IP addresses? | Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moiss Goldszmidt, Ted Wobber |
| 2005 | AISTATS | Variational Speech Separation of More Sources than Mixtures. | Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi |
| 2005 | ICASSP | A segment based probabilistic generative model of speech. | Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey |
| 2004 | ICML | Learning to cluster using local neighborhood structure. | Rmer Rosales, Kannan Achan, Brendan J. Frey |
| 2003 | ICASSP | Robust variational speech separation using fewer microphones than speakers. | Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan |
| 2003 | ICCV | Unsupervised Image Translation. | Rmer Rosales, Kannan Achan, Brendan J. Frey |
| 2002 | IGARSS | Phase unwrapping by minimizing Kikuchi free energy. | Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson |
| 2001 | ICASSP | Unwrapping phases by relaxed mean field inference. | Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr. |
| 2001 | UAI | A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. | Kannan Achan, Brendan J. Frey, Ralf Koetter |