Multi-Dimensional Clustering: A New Data Layout Scheme in DB2. - Sriram Padmanabhan; Bishwaranjan Bhattacharjee; Timothy Malkemus; Leslie Cranston; Matthew Huras (SIGMOD Conference, 2003)

Efficient Query Processing for Multi-Dimensionally Clustered Tables in DB2. - Bishwaranjan Bhattacharjee; Sriram Padmanabhan; Timothy Malkemus; Tony Lai; Leslie Cranston; Matthew Huras (VLDB, 2003)

Automated design of multidimensional clustering tables for relational databases. - Sam Lightstone; Bishwaranjan Bhattacharjee (VLDB, 2004)

Predicate Derivation and Monotonicity Detection in DB2 UDB. - Timothy Malkemus; Sriram Padmanabhan; Bishwaranjan Bhattacharjee; Leslie Cranston (ICDE, 2005)

Using secure coprocessors for privacy preserving collaborative data mining and analysis. - Bishwaranjan Bhattacharjee; Naoki Abe; Kenneth A. Goldman; Bianca Zadrozny; Vamsavardhana R. Chillakuru; Marysabel del Carpio; Chidanand Apté (DaMoN, 2006)

Performance Study of Rollout for Multi Dimensional Clustered Tables in DB2. - Bishwaranjan Bhattacharjee (ExpDB, 2006)

Impliance: A Next Generation Information Management Appliance - Bishwaranjan Bhattacharjee; Vuk Ercegovac; Joseph S. Glider; Richard A. Golding; Guy M. Lohman; Volker Markl; Hamid Pirahesh; Jun Rao; Robert M. Rees; Frederick Reiss 001; Eugene J. Shekita; Garret Swart (CoRR, 2006)

Impliance: A Next Generation Information Management Appliance. - Bishwaranjan Bhattacharjee; Joseph S. Glider; Richard A. Golding; Guy M. Lohman; Volker Markl; Hamid Pirahesh; Jun Rao; Robert M. Rees; Garret Swart (CIDR, 2007)

Increasing Buffer-Locality for Multiple Relational Table Scans through Grouping and Throttling. - Christian A. Lang; Bishwaranjan Bhattacharjee; Timothy Malkemus; Sriram Padmanabhan; Kwai Wong (ICDE, 2007)

Improved Buffer Size Adaptation through Cache/Controller Coupling. - Christian A. Lang; Bishwaranjan Bhattacharjee; Timothy Malkemus; Ioana Stanoi (ICDE Workshops, 2007)

Efficient Bulk Deletes for Multi Dimensionally Clustered Tables in DB2. - Bishwaranjan Bhattacharjee; Timothy Malkemus; Sherman Lau; Sean Mckeough; Jo-Anne Kirton; Robin Von Boeschoten; John Kennedy (VLDB, 2007)

Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control. - Christian A. Lang; Bishwaranjan Bhattacharjee; Timothy Malkemus; Kwai Wong (VLDB, 2007)

Optimizing Hierarchical Access in OLAP Environment. - Lipyeow Lim; Bishwaranjan Bhattacharjee (ICDE, 2008)

Efficient Index Compression in DB2 LUW. - Bishwaranjan Bhattacharjee; Lipyeow Lim; Timothy Malkemus; George A. Mihaila; Kenneth A. Ross; Sherman Lau; Cathy McCarthur; Zoltan Toth; Reza Sherkat (Proc. VLDB Endow., 2009)

An Object Placement Advisor for DB2 Using Solid State Storage. - Mustafa Canim; Bishwaranjan Bhattacharjee; George A. Mihaila; Christian A. Lang; Kenneth A. Ross (Proc. VLDB Endow., 2009)

Buffered Bloom Filters on Solid State Storage. - Mustafa Canim; George A. Mihaila; Bishwaranjan Bhattacharjee; Christian A. Lang; Kenneth A. Ross (ADMS@VLDB, 2010)

Storage Class Memory Aware Data Management. - Bishwaranjan Bhattacharjee; Mustafa Canim; Christian A. Lang; George A. Mihaila; Kenneth A. Ross (IEEE Data Eng. Bull., 2010)

SSD Bufferpool Extensions for Database Systems. - Mustafa Canim; George A. Mihaila; Bishwaranjan Bhattacharjee; Kenneth A. Ross; Christian A. Lang (Proc. VLDB Endow., 2010)

Enhancing recovery using an SSD buffer pool extension. - Bishwaranjan Bhattacharjee; Kenneth A. Ross; Christian A. Lang; George A. Mihaila; Mohammad Banikazemi (DaMoN, 2011)

Column-oriented query processing for row stores. - Amr El-Helw; Kenneth A. Ross; Bishwaranjan Bhattacharjee; Christian A. Lang; George A. Mihaila (DOLAP, 2011)

Optimizing Access across Multiple Hierarchies in Data Warehouses. - Lipyeow Lim; Bishwaranjan Bhattacharjee (HICSS, 2011)

Path processing using Solid State Storage. - Manos Athanassoulis; Bishwaranjan Bhattacharjee; Mustafa Canim; Kenneth A. Ross (ADMS@VLDB, 2012)

Building an efficient RDF store over a relational database. - Mihaela A. Bornea; Julian Dolby; Anastasios Kementsietsidis; Kavitha Srinivas; Patrick Dantressangle; Octavian Udrea; Bishwaranjan Bhattacharjee (SIGMOD Conference, 2013)

Making Updates Disk-I/O Friendly Using SSDs. - Mohammad Sadoghi; Kenneth A. Ross; Mustafa Canim; Bishwaranjan Bhattacharjee (Proc. VLDB Endow., 2013)

Adapting Server Systems for New Memory Technologies. - Hillery C. Hunter; Luis Alfonso Lastras-Montaño; Bishwaranjan Bhattacharjee (Computer, 2014)

Reducing Database Locking Contention Through Multi-version Concurrency. - Mohammad Sadoghi; Mustafa Canim; Bishwaranjan Bhattacharjee; Fabian Nagel; Kenneth A. Ross (Proc. VLDB Endow., 2014)

Exploiting SSDs in operational multiversion databases. - Mohammad Sadoghi; Kenneth A. Ross; Mustafa Canim; Bishwaranjan Bhattacharjee (VLDB J., 2016)

IBM Deep Learning Service. - Bishwaranjan Bhattacharjee; Scott Boag; Chandani Doshi; Parijat Dube; Ben Herta; Vatche Ishakian; K. R. Jayaram; Rania Khalaf; Avesh Krishna; Yu Bo Li; Vinod Muthusamy; Ruchir Puri; et al. (CoRR, 2017)

IBM Deep Learning Service. - Bishwaranjan Bhattacharjee; Scott Boag; Chandani Doshi; Parijat Dube; Ben Herta; Vatche Ishakian; K. R. Jayaram; Rania Khalaf; Avesh Krishna; Yu Bo Li; Vinod Muthusamy; Ruchir Puri; et al. (IBM J. Res. Dev., 2017)

Distributed learning of deep feature embeddings for visual recognition tasks. - Bishwaranjan Bhattacharjee; Matthew L. Hill; H. Wu; P. S. Chandakkar; John R. Smith; Mark N. Wegman (IBM J. Res. Dev., 2017)

Incremental Frequent Subgraph Mining on Large Evolving Graphs. - Ehab Abdelhamid; Mustafa Canim; Mohammad Sadoghi; Bishwaranjan Bhattacharjee; Yuan-Chi Chang; Panos Kalnis (IEEE Trans. Knowl. Data Eng., 2017)

L-Store: A Real-time OLTP and OLAP System. - Mohammad Sadoghi; Souvik Bhattacherjee; Bishwaranjan Bhattacharjee; Mustafa Canim (EDBT, 2018)

Improving Transferability of Deep Neural Networks. - Parijat Dube; Bishwaranjan Bhattacharjee; Elisabeth Petit-Bois; Matthew Hill (CoRR, 2018)

Automatic Labeling of Data for Transfer Learning. - Parijat Dube; Bishwaranjan Bhattacharjee; Siyu Huo; Patrick Watson; Brian M. Belgodere (CVPR Workshops, 2019)

P2L: Predicting Transfer Learning for Images and Semantic Relations. - Bishwaranjan Bhattacharjee; Noel Codella; John R. Kender; Siyu Huo; Patrick Watson; Michael R. Glass; Parijat Dube; Matthew Hill; Brian M. Belgodere (CoRR, 2019)

Improving Transferability of Deep Neural Networks. - Parijat Dube; Bishwaranjan Bhattacharjee; Elisabeth Petit-Bois; Matthew Hill (Domain Adaptation for Visual Understanding, 2020)

P2L: Predicting Transfer Learning for Images and Semantic Relations. - Bishwaranjan Bhattacharjee; John R. Kender; Matthew Hill; Parijat Dube; Siyu Huo; Michael R. Glass; Brian M. Belgodere; Sharath Pankanti; Noel Codella; Patrick Watson (CVPR Workshops, 2020)

Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks. - Parul Awasthy; Bishwaranjan Bhattacharjee; John R. Kender; Radu Florian (SustaiNLP@EMNLP, 2020)

Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment. - Masayasu Muraoka; Tetsuya Nasukawa; Bishwaranjan Bhattacharjee (EMNLP (Findings), 2020)

Visual Concept Naming: Discovering Well-Recognized Textual Expressions of Visual Concepts. - Masayasu Muraoka; Tetsuya Nasukawa; Rudy Raymond; Bishwaranjan Bhattacharjee (WWW, 2020)

Large Scale Neural Architecture Search with Polyharmonic Splines. - Ulrich Finkler; Michele Merler; Rameswar Panda; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Chun-Fu Chen 001; Minsik Cho; David S. Kung 001; Rogério Feris; Bishwaranjan Bhattacharjee (CoRR, 2020)

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. - Rameswar Panda; Michele Merler; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Ulrich Finkler; Chun-Fu (Richard) Chen; Minsik Cho; Rogério Feris; David S. Kung 001; Bishwaranjan Bhattacharjee (AAAI, 2021)

G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning. - John R. Kender; Bishwaranjan Bhattacharjee; Parijat Dube; Brian Belgodere (CoRR, 2022)

A Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification. - Yang Zhao; Tetsuya Nasukawa; Masayasu Muraoka; Bishwaranjan Bhattacharjee (ACL (Findings), 2023)

Muted: Multilingual Targeted Offensive Speech Identification and Visualization. - Christoph Tillmann; Aashka Trivedi; Sara Rosenthal; Santosh Borse; Rong Zhang 010; Avirup Sil; Bishwaranjan Bhattacharjee (EMNLP (Demos), 2023)

A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models. - Takuma Udagawa; Aashka Trivedi; Michele Merler; Bishwaranjan Bhattacharjee (EMNLP (Industry Track), 2023)

Towards a Methodology and Framework for AI Sustainability Metrics. - Tamar Eilam; Pedro D. Bello-Maldonado; Bishwaranjan Bhattacharjee; Carlos H. A. Costa; Eun Kyung Lee; Asser N. Tantawi (HotCarbon, 2023)

G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-labels. - John R. Kender; Parijat Dube; Zhengyang Han; Bishwaranjan Bhattacharjee (ICCV (Workshops), 2023)

Cross-Lingual Transfer of Large Language Model by Visually-Derived Supervision Toward Low-Resource Languages. - Masayasu Muraoka; Bishwaranjan Bhattacharjee; Michele Merler; Graeme Blackwood; Yulong Li; Yang Zhao (ACM Multimedia, 2023)

Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models. - Aashka Trivedi; Takuma Udagawa; Michele Merler; Rameswar Panda; Yousef El-Kurdi; Bishwaranjan Bhattacharjee (CoRR, 2023)

Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings. - Fatema Hasan; Yulong Li; James R. Foulds; Shimei Pan; Bishwaranjan Bhattacharjee (CoRR, 2023)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

DoubleDistillation: Enhancing LLMs for Informal Text Analysis using Multistage Knowledge Distillation from Speech and Text. - Fatema Hasan; Yulong Li; James R. Foulds; Shimei Pan; Bishwaranjan Bhattacharjee (ICMI, 2024)

Efficient Models for the Detection of Hate, Abuse and Profanity. - Christoph Tillmann; Aashka Trivedi; Bishwaranjan Bhattacharjee (CoRR, 2024)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

A Simple-Yet-Efficient Instruction Augmentation Method for Zero-Shot Sentiment Classification. - Yang Zhao; Masayasu Muraoka; Issei Yoshida; Bishwaranjan Bhattacharjee; Hiroshi Kanayama (COLING, 2025)

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. - Leonid Karlinsky; Assaf Arbelle; Abraham Daniels; Ahmed Nassar; Amit Alfassi; Bo Wu 018; Eli Schwartz; Dhiraj Joshi; Jovana Kondic; Nimrod Shabtay; Pengyuan Li 001; Roei Herzig; et al. (CoRR, 2025)

GneissWeb: Preparing High Quality Data for LLMs at Scale. - Hajar Emami-Gohari; Swanand Ravindra Kadhe; Syed Yousaf Shah; Constantin Adam; Abdulhamid Adebayo; Praneet Adusumilli; Farhan Ahmed; Nathalie Baracaldo Angel; Santosh Borse; Yuan Chi Chang; Xuan-Hong Dang; Nirmit Desai; et al. (CoRR, 2025)

Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification. - Takuma Udagawa; Yang Zhao; Hiroshi Kanayama; Bishwaranjan Bhattacharjee (CoRR, 2025)