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2020 – today
- 2024
[j2]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)- [j1]Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Relation labeling in product knowledge graphs with large language models for e-commerce. Int. J. Mach. Learn. Cybern. 15(12): 5725-5743 (2024) - [c49]Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. ECAI 2024: 4734-4740 - [c48]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: 5825-5835 - [c47]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: 2910-2914 - [c46]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: 1530-1537 - [i42]Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Event-based Product Carousel Recommendation with Query-Click Graph. CoRR abs/2402.03277 (2024) - [i41]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 abs/2402.05941 (2024) - [i40]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 abs/2403.00863 (2024) - [i39]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 abs/2403.05578 (2024) - [i38]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 abs/2404.11589 (2024) - [i37]Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. CoRR abs/2409.07627 (2024) - [i36]Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Körpeoglu, Kannan Achan:
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference. CoRR abs/2409.12150 (2024) - [i35]Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan:
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. CoRR abs/2410.12228 (2024) - [i34]Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan:
Improving Sequential Recommender Systems with Online and In-store User Behavior. CoRR abs/2412.02122 (2024) - 2023
- [c45]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: 1-7 - [c44]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. IEEE Big Data 2023: 3144-3148 - [c43]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. IEEE Big Data 2023: 4318-4324 - [c42]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: 1484-1492 - [i33]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 abs/2305.09858 (2023) - [i32]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 abs/2310.17732 (2023) - [i31]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 abs/2312.00909 (2023) - [i30]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 abs/2312.03253 (2023) - [i29]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 abs/2312.16351 (2023) - 2022
- [c41]Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. IEEE Big Data 2022: 616-625 - [c40]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. IEEE Big Data 2022: 3945-3951 - [c39]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 - [i28]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 abs/2202.05456 (2022) - [i27]Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang:
Causal Structure Learning with Recommendation System. CoRR abs/2210.10256 (2022) - [i26]Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR abs/2211.09072 (2022) - 2021
- [c38]Xiaohan Li, Zhiwei Liu, Stephen D. 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: 457-468 - [c37]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: 469-479 - [c36]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: 4119-4125 - [c35]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR 2021 - [c34]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML 2021: 11514-11524 - [c33]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: 2409-2419 - [c32]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD 2021: 3817-3825 - [c31]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM 2021: 256-264 - [c30]Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan:
Generating Rich Product Descriptions for Conversational E-commerce Systems. WWW (Companion Volume) 2021: 349-356 - [i25]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR abs/2102.12029 (2021) - [i24]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR abs/2103.15213 (2021) - [i23]Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan:
Variational Inference for Category Recommendation in E-Commerce platforms. CoRR abs/2104.07748 (2021) - [i22]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR abs/2110.12132 (2021) - [i21]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR abs/2110.12141 (2021) - [i20]Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR abs/2111.14036 (2021) - [i19]Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan:
Generating Rich Product Descriptions for Conversational E-commerce Systems. CoRR abs/2111.15298 (2021) - 2020
- [c29]Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData 2020: 728-737 - [c28]Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. IEEE BigData 2020: 3156-3164 - [c27]Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. IEEE BigData 2020: 4646-4650 - [c26]Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP 2020: 3807-3811 - [c25]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive representation learning on temporal graphs. ICLR 2020 - [c24]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS 2020 - [c23]Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Personalizing Item Recommendation via Price Understanding. ComplexRec-ImpactRS@RecSys 2020 - [c22]Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM 2020: 64-72 - [c21]Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan:
Data Poisoning Attacks against Differentially Private Recommender Systems. SIGIR 2020: 1617-1620 - [c20]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. WSDM 2020: 672-680 - [c19]Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge-aware Complementary Product Representation Learning. WSDM 2020: 681-689 - [i18]Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR abs/2001.09900 (2020) - [i17]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive Representation Learning on Temporal Graphs. CoRR abs/2002.07962 (2020) - [i16]Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen D. Guo, Kannan Achan:
Product Title Generation for Conversational Systems using BERT. CoRR abs/2007.11768 (2020) - [i15]Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR abs/2010.11419 (2020) - [i14]Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. CoRR abs/2011.00866 (2020) - [i13]Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. CoRR abs/2012.01577 (2020) - [i12]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR abs/2012.02295 (2020) - [i11]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 abs/2012.02509 (2020) - [i10]Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. CoRR abs/2012.04681 (2020) - [i9]Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He:
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR abs/2012.06901 (2020)
2010 – 2019
- 2019
- [c18]Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen D. 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: 2923-2930 - [c17]Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. IEEE BigData 2019: 4435-4443 - [c16]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. ICASSP 2019: 3167-3171 - [c15]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Self-attention with Functional Time Representation Learning. NeurIPS 2019: 15889-15899 - [i8]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. CoRR abs/1903.02640 (2019) - [i7]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR abs/1904.12574 (2019) - [i6]Mansi Ranjit Mane, Stephen D. Guo, Kannan Achan:
Complementary-Similarity Learning using Quadruplet Network. CoRR abs/1908.09928 (2019) - [i5]Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR abs/1910.12757 (2019) - [i4]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. CoRR abs/1911.12481 (2019) - [i3]Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan:
Self-attention with Functional Time Representation Learning. CoRR abs/1911.12864 (2019) - 2018
- [i2]Abhimanyu Mitra, Kannan Achan, Sushant Kumar:
Robust Counterfactual Inferences using Feature Learning and their Applications. CoRR abs/1808.07569 (2018) - 2013
- [i1]Kannan Achan, Brendan J. Frey, Ralf Koetter:
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields. CoRR abs/1301.2252 (2013)
2000 – 2009
- 2008
- [c14]Michael Isard, John MacCormick, Kannan Achan:
Continuously-adaptive discretization for message-passing algorithms. NIPS 2008: 737-744 - [c13]Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov:
Spamming botnets: signatures and characteristics. SIGCOMM 2008: 171-182 - [c12]Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, Rakesh Agrawal:
Using the wisdom of the crowds for keyword generation. WWW 2008: 61-70 - 2007
- [b1]Kannan Achan:
Probabilistic models of time-domain speech signals. University of Toronto, Canada, 2007 - [c11]Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, Ted Wobber:
How dynamic are IP addresses? SIGCOMM 2007: 301-312 - 2005
- [c10]Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi:
Variational Speech Separation of More Sources than Mixtures. AISTATS 2005: 293-300 - [c9]Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey:
A segment based probabilistic generative model of speech. ICASSP (5) 2005: 221-224 - 2004
- [c8]Rómer Rosales, Kannan Achan, Brendan J. Frey:
Learning to cluster using local neighborhood structure. ICML 2004 - 2003
- [c7]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: 88-91 - [c6]Rómer Rosales, Kannan Achan, Brendan J. Frey:
Unsupervised Image Translation. ICCV 2003: 472-478 - [c5]Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan:
Robust variational speech separation using fewer microphones than speakers. ICME 2003: 741-744 - [c4]Kannan Achan, Sam T. Roweis, Brendan J. Frey:
Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS 2003: 1393-1400 - 2002
- [c3]Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson:
Phase unwrapping by minimizing Kikuchi free energy. IGARSS 2002: 1738-1740 - 2001
- [c2]Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.:
Unwrapping phases by relaxed mean field inference. ICASSP 2001: 1901-1904 - [c1]Kannan Achan, Brendan J. Frey, Ralf Koetter:
A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. UAI 2001: 1-6
Coauthor Index
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