ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks. - Budhaditya Deb; Sudeept Bhatnagar; Badri Nath (LCN, 2003)

Information assurance in sensor networks. - Budhaditya Deb; Sudeept Bhatnagar; Badri Nath (WSNA, 2003)

STREAM: Sensor Topology Retrieval at Multiple Resolutions. - Budhaditya Deb; Sudeept Bhatnagar; Badri Nath (Telecommun. Syst., 2004)

On the node-scheduling approach to topology control in ad hoc networks. - Budhaditya Deb; Badri Nath (MobiHoc, 2005)

Wireless Propagation and Coexistence of Medical Body Sensor Networks for Ambulatory Patient Monitoring. - David M. Davenport; Budhaditya Deb; Fergus J. Ross (BSN, 2009)

Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization. - Budhaditya Deb; Michael J. Hartman (WOWMOM, 2012)

Leveraging periodicity in human mobility for next place prediction. - Bhaskar Prabhala; Jingjing Wang; Budhaditya Deb; Thomas La Porta; Jiawei Han 001 (WCNC, 2014)

Discovering Latent Semantic Structure in Human Mobility Traces. - Budhaditya Deb; Prithwish Basu (EWSN, 2015)

Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder. - Budhaditya Deb; Peter Bailey; Milad Shokouhi (NAACL-HLT (2), 2019)

A Dataset and Baselines for Multilingual Reply Suggestion. - Mozhi Zhang; Wei Wang 238; Budhaditya Deb; Guoqing Zheng; Milad Shokouhi; Ahmed Hassan Awadallah (ACL/IJCNLP (1), 2021)

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. - Yusen Zhang 001; Ansong Ni; Tao Yu 009; Rui Zhang 037; Chenguang Zhu 001; Budhaditya Deb; Asli Celikyilmaz; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Findings), 2021)

A Conditional Generative Matching Model for Multi-lingual Reply Suggestion. - Budhaditya Deb; Guoqing Zheng; Milad Shokouhi; Ahmed Hassan Awadallah (EMNLP (Findings), 2021)

Language Scaling for Universal Suggested Replies Model. - Qianlan Ying; Payal Bajaj; Budhaditya Deb; Yu Yang; Wei Wang 238; Bojia Lin; Milad Shokouhi; Xia Song; Yang Yang 012; Daxin Jiang (NAACL-HLT (Industry Papers), 2021)

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. - Yusen Zhang 001; Ansong Ni; Ziming Mao; Chen Henry Wu; Chenguang Zhu 001; Budhaditya Deb; Ahmed Hassan Awadallah; Dragomir R. Radev; Rui Zhang 037 (ACL (1), 2022)

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. - Ziming Mao; Chen Henry Wu; Ansong Ni; Yusen Zhang 001; Rui Zhang 037; Tao Yu 009; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir R. Radev (ACL (1), 2022)

Boosting Natural Language Generation from Instructions with Meta-Learning. - Budhaditya Deb; Ahmed Hassan Awadallah; Guoqing Zheng (EMNLP, 2022)

Leveraging Locality in Abstractive Text Summarization. - Yixin Liu 003; Ansong Ni; Linyong Nan; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir Radev (EMNLP, 2022)

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. - Griffin Adams; Bichlien Nguyen; Jake Smith; Yingce Xia; Shufang Xie 003; Anna Ostropolets; Budhaditya Deb; Yuan-Jyue Chen; Tristan Naumann; Noémie Elhadad (ACL (1), 2023)

On Improving Summarization Factual Consistency from Natural Language Feedback. - Yixin Liu 003; Budhaditya Deb; Milagro Teruel; Aaron Halfaker; Dragomir Radev; Ahmed Hassan Awadallah (ACL (1), 2023)

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. - Borui Wang; Qiuyuan Huang; Budhaditya Deb; Aaron Halfaker; Liqun Shao; Daniel McDuff; Ahmed Hassan Awadallah; Dragomir Radev; Jianfeng Gao 001 (ACL (Findings), 2023)