Evaluating the novelty of text-mined rules using lexical knowledge. - Sugato Basu; Raymond J. Mooney; Krupakar V. Pasupuleti; Joydeep Ghosh (KDD, 2001)

Semi-supervised Clustering by Seeding. - Sugato Basu; Arindam Banerjee 001; Raymond J. Mooney (ICML, 2002)

Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering. - Shalini Ghosh; Sugato Basu; Nur A. Touba (ISVLSI, 2003)

Semi-Supervised Clustering with Limited Background Knowledge. - Sugato Basu (AAAI, 2004)

Low-power weighted pseudo-random BIST using special scan cells. - Shalini Ghosh; Eric W. MacDonald; Sugato Basu; Nur A. Touba (ACM Great Lakes Symposium on VLSI, 2004)

Integrating constraints and metric learning in semi-supervised clustering. - Mikhail Bilenko; Sugato Basu; Raymond J. Mooney (ICML, 2004)

Reducing Power Consumption in Memory ECC Checkers. - Shalini Ghosh; Nur A. Touba; Sugato Basu (ITC, 2004)

A probabilistic framework for semi-supervised clustering. - Sugato Basu; Mikhail Bilenko; Raymond J. Mooney (KDD, 2004)

Active Semi-Supervision for Pairwise Constrained Clustering. - Sugato Basu; Arindam Banerjee 001; Raymond J. Mooney (SDM, 2004)

Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. - Mikhail Bilenko; Sugato Basu; Mehran Sahami (ICDM, 2005)

Model-based overlapping clustering. - Arindam Banerjee 001; Chase Krumpelman; Joydeep Ghosh; Sugato Basu; Raymond J. Mooney (KDD, 2005)

Synthesis of Low Power CED Circuits Based on Parity Codes. - Shalini Ghosh; Sugato Basu; Nur A. Touba (VTS, 2005)

Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits. - Shalini Ghosh; Sugato Basu; Nur A. Touba (J. Low Power Electron., 2005)

Probabilistic Semi-Supervised Clustering with Constraints. - Sugato Basu; Mikhail Bilenko; Arindam Banerjee 001; Raymond J. Mooney (Semi-Supervised Learning, 2006)

When Is Constrained Clustering Beneficial, and Why?. - Kiri Wagstaff; Sugato Basu; Ian Davidson (AAAI, 2006)

Measuring Constraint-Set Utility for Partitional Clustering Algorithms. - Ian Davidson; Kiri Wagstaff; Sugato Basu (PKDD, 2006)

Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. - Arindam Banerjee 001; Sugato Basu (SDM, 2007)

Multi-way Clustering on Relation Graphs. - Arindam Banerjee 001; Sugato Basu; Srujana Merugu (SDM, 2007)

Predicting bounce rates in sponsored search advertisements. - D. Sculley; Robert G. Malkin; Sugato Basu; Roberto J. Bayardo (KDD, 2009)

Semi-supervised graph clustering: a kernel approach. - Brian Kulis; Sugato Basu; Inderjit S. Dhillon; Raymond J. Mooney (Mach. Learn., 2009)

PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce. - Biswanath Panda; Joshua Herbach; Sugato Basu; Roberto J. Bayardo (Proc. VLDB Endow., 2009)

Semi-Supervised Learning. - Sugato Basu (Encyclopedia of Database Systems, 2009)

User browsing models: relevance versus examination. - Ramakrishnan Srikant; Sugato Basu; Ni Wang; Daryl Pregibon (KDD, 2010)

RolX: structural role extraction & mining in large graphs. - Keith Henderson; Brian Gallagher; Tina Eliassi-Rad; Hanghang Tong; Sugato Basu; Leman Akoglu; Danai Koutra; Christos Faloutsos; Lei Li 005 (KDD, 2012)

PLUMS: Predicting Links Using Multiple Sources. - Karthik Subbian; Arindam Banerjee 001; Sugato Basu (SDM, 2015)

Graphical RNN Models. - Ashish Bora; Sugato Basu; Joydeep Ghosh (CoRR, 2016)

Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style. - Reid Pryzant; Sugato Basu; Kazoo Sone (BlackboxNLP@EMNLP, 2018)

Semi-supervised Learning. - Sugato Basu (Encyclopedia of Database Systems (2nd ed.), 2018)

Micro-Browsing Models for Search Snippets. - Muhammad Asiful Islam; Ramakrishnan Srikant; Sugato Basu (ICDE, 2019)

A Framework for Deep Constrained Clustering - Algorithms and Advances. - Hongjing Zhang; Sugato Basu; Ian Davidson (ECML/PKDD (1), 2019)

Product Phrase Extraction from e-Commerce Pages. - Artem Vovk; Dmitrii Tochilkin; Pradyumna Narayana; Kazoo Sone; Sugato Basu (WWW (Companion Volume), 2019)

Deep Constrained Clustering - Algorithms and Advances. - Hongjing Zhang; Sugato Basu; Ian Davidson (CoRR, 2019)

HUSE: Hierarchical Universal Semantic Embeddings. - Pradyumna Narayana; Aniket Pednekar; Abishek Krishnamoorthy; Kazoo Sone; Sugato Basu (CoRR, 2019)

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. - Wanrong Zhu; Xin Wang 061; Pradyumna Narayana; Kazoo Sone; Sugato Basu; William Yang Wang (EMNLP (1), 2020)

Leveraging Organizational Resources to Adapt Models to New Data Modalities. - Sahaana Suri; Abishek Sethi; Girija Narlikar; Neslihan Bulut; Raghuveer Chanda; Sugato Basu; Pradyumna Narayana; Peter Bailis; Christopher Ré; Yemao Zeng (Proc. VLDB Endow., 2020)

Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. - Wanrong Zhu; Xin Wang 061; Tsu-Jui Fu; An Yan 003; Pradyumna Narayana; Kazoo Sone; Sugato Basu; William Yang Wang (EACL, 2021)

A framework for deep constrained clustering. - Hongjing Zhang; Tianyang Zhan; Sugato Basu; Ian Davidson (Data Min. Knowl. Discov., 2021)

CPL: Counterfactual Prompt Learning for Vision and Language Models. - Xuehai He; Diji Yang; Weixi Feng; Tsu-Jui Fu; Arjun R. Akula; Varun Jampani; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Wang 061 (EMNLP, 2022)

Diagnosing Vision-and-Language Navigation: What Really Matters. - Wanrong Zhu; Yuankai Qi; Pradyumna Narayana; Kazoo Sone; Sugato Basu; Xin Wang 061; Qi Wu 001; Miguel P. Eckstein; William Yang Wang (NAACL-HLT, 2022)

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. - Zhiwei Jia; Pradyumna Narayana; Arjun R. Akula; Garima Pruthi; Hao Su 001; Sugato Basu; Varun Jampani (ACL (industry), 2023)

MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Arjun R. Akula; Brendan Driscoll; Pradyumna Narayana; Soravit Changpinyo; Zhiwei Jia; Suyash Damle; Garima Pruthi; Sugato Basu; Leonidas J. Guibas; William T. Freeman; Yuanzhen Li; Varun Jampani (CVPR, 2023)

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. - Weixi Feng; Xuehai He; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; Xin Eric Wang; William Yang Wang (ICLR, 2023)

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. - Weixi Feng; Wanrong Zhu; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Xuehai He; Sugato Basu; Xin Eric Wang; William Yang Wang (NeurIPS, 2023)

Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (CoRR, 2023)

PRISM: A New Lens for Improved Color Understanding. - Arjun R. Akula; Garima Pruthi; Inderjit S. Dhillon; Pradyumna Narayana; Sugato Basu; Varun Jampani (EMNLP (Industry Track), 2024)

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. - Jiachen Li; Weixi Feng; Tsu-Jui Fu; Xinyi Wang 003; Sugato Basu; Wenhu Chen; William Yang Wang (NeurIPS, 2024)

Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)