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

Estimating detection probability of interconnect opens using stuck-at tests. - Shalini Ghosh; F. Joel Ferguson (ACM Great Lakes Symposium on VLSI, 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)

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

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

Detection probabilities of interconnect breaks: an analysis. - Shalini Ghosh; F. Joel Ferguson (Integr., 2005)

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

Combining Subjective Probabilities and Data in Training Markov Logic Networks. - Tivadar Papai; Shalini Ghosh; Henry A. Kautz (ECML/PKDD (1), 2012)

Probabilistic Modeling of Failure Dependencies Using Markov Logic Networks. - Shalini Ghosh; Wilfried Steiner; Grit Denker; Patrick Lincoln (PRDC, 2013)

An empirical reexamination of global DNS behavior. - Hongyu Gao; Vinod Yegneswaran; Yan Chen 004; Phillip A. Porras; Shalini Ghosh; Jian Jiang 002; Hai-Xin Duan (SIGCOMM, 2013)

Automatically Extracting Requirements Specifications from Natural Language. - Shalini Ghosh; Daniel Elenius; Wenchao Li 001; Patrick Lincoln; Natarajan Shankar; Wilfried Steiner (CoRR, 2014)

Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models. - Shalini Ghosh; Patrick Lincoln; Christian Petersen; Alfonso Valdes (CoRR, 2014)

ARSENAL: Automatic Requirements Specification Extraction from Natural Language. - Shalini Ghosh; Daniel Elenius; Wenchao Li 001; Patrick Lincoln; Natarajan Shankar; Wilfried Steiner (NFM, 2016)

Contextual LSTM (CLSTM) models for Large scale NLP tasks. - Shalini Ghosh; Oriol Vinyals; Brian Strope; Scott Roy; Tom Dean; Larry P. Heck (CoRR, 2016)

Reexamining DNS From a Global Recursive Resolver Perspective. - Hongyu Gao; Vinod Yegneswaran; Jian Jiang 002; Yan Chen 004; Phillip A. Porras; Shalini Ghosh; Hai-Xin Duan (IEEE/ACM Trans. Netw., 2016)

Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. - Shalini Ghosh; Patrick Lincoln; Ashish Tiwari 001; Xiaojin Zhu 001 (AAAI Workshops, 2017)

ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem. - Shalini Ghosh; Phillip A. Porras; Vinod Yegneswaran; Ken Nitz; Ariyam Das (AAAI Workshops, 2017)

Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem. - Shalini Ghosh; Ariyam Das; Phillip A. Porras; Vinod Yegneswaran; Ashish Gehani (KDD, 2017)

Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes. - Shalini Ghosh; Susmit Jha; Ashish Tiwari 001; Patrick Lincoln; Xiaojin Zhu 001 (DSN Workshops, 2018)

A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. - Sridhar Mahadevan; Bamdev Mishra; Shalini Ghosh (ECML/PKDD (2), 2018)

AEGIS: An Automated Permission Generation and Verification System for SDNs. - Heedo Kang; Seungwon Shin 001; Vinod Yegneswaran; Shalini Ghosh; Phillip A. Porras (SecSoN@SIGCOMM, 2018)

Time Series Deinterleaving of DNS Traffic. - Amir Asiaee T.; Hardik Goel; Shalini Ghosh; Vinod Yegneswaran; Arindam Banerjee 001 (IEEE Symposium on Security and Privacy Workshops, 2018)

Trusted Neural Networks for Safety-Constrained Autonomous Control. - Shalini Ghosh; Amaury Mercier; Dheeraj Pichapati; Susmit Jha; Vinod Yegneswaran; Patrick Lincoln (CoRR, 2018)

RILOD: near real-time incremental learning for object detection at the edge. - Dawei Li 006; Serafettin Tasci; Shalini Ghosh; Jingwen Zhu; Junting Zhang; Larry P. Heck (SEC, 2019)

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. - Ramprasaath Ramasamy Selvaraju; Stefan Lee; Yilin Shen; Hongxia Jin; Shalini Ghosh; Larry P. Heck; Dhruv Batra; Devi Parikh (ICCV, 2019)

Generative Visual Dialogue System via Weighted Likelihood Estimation. - Heming Zhang 003; Shalini Ghosh; Larry P. Heck; Stephen Walsh; Junting Zhang; Jie Zhang 026; C.-C. Jay Kuo (IJCAI, 2019)

Data Masking with Privacy Guarantees. - Anh T. Pham 002; Shalini Ghosh; Vinod Yegneswaran (CoRR, 2019)

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. - Jie Zhang 026; Xiaolong Wang 006; Dawei Li 006; Shalini Ghosh; Abhishek Kolagunda; Yalin Wang 001 (CoRR, 2019)

Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention. - Shalini Ghosh; Giedrius Burachas; Arijit Ray; Avi Ziskind (CoRR, 2019)

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. - Heming Zhang 003; Shalini Ghosh; Larry P. Heck; Stephen Walsh; Junting Zhang; Jie Zhang 026; C.-C. Jay Kuo (CoRR, 2019)

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. - Jie Zhang 026; Junting Zhang; Shalini Ghosh; Dawei Li 006; Jingwen Zhu; Heming Zhang 003; Yalin Wang 001 (CoRR, 2019)

Efficient Incremental Learning for Mobile Object Detection. - Dawei Li 006; Serafettin Tasci; Shalini Ghosh; Jingwen Zhu; Junting Zhang; Larry P. Heck (CoRR, 2019)

Multimodal Machine Learning for Video and Image Analysis. - Shalini Ghosh (KDD, 2020)

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. - Saurabh Sahu; Palash Goyal; Shalini Ghosh; Chul Lee (ACM Multimedia, 2020)

Class-incremental Learning via Deep Model Consolidation. - Junting Zhang; Jie Zhang 026; Shalini Ghosh; Dawei Li 006; Serafettin Tasci; Larry P. Heck; Heming Zhang 003; C.-C. Jay Kuo (WACV, 2020)

Regularize, Expand and Compress: NonExpansive Continual Learning. - Jie Zhang 026; Junting Zhang; Shalini Ghosh; Dawei Li 006; Jingwen Zhu; Heming Zhang 003; Yalin Wang 001 (WACV, 2020)

Exploiting Temporal Coherence for Multi-modal Video Categorization. - Palash Goyal; Saurabh Sahu; Shalini Ghosh; Chul Lee (CoRR, 2020)

Cross-modal Learning for Multi-modal Video Categorization. - Palash Goyal; Saurabh Sahu; Shalini Ghosh; Chul Lee (CoRR, 2020)

Hierarchical Class-Based Curriculum Loss. - Palash Goyal; Shalini Ghosh (CoRR, 2020)

Automated Permission Model Generation for Securing SDN Control-Plane. - Heedo Kang; Vinod Yegneswaran; Shalini Ghosh; Phillip A. Porras; Seungwon Shin 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Hierarchical Class-Based Curriculum Loss. - Palash Goyal; Divya Choudhary; Shalini Ghosh (IJCAI, 2021)

One-Stage Object Referring with Gaze Estimation. - Jianhang Chen; Xu Zhang 022; Yue Wu 001; Shalini Ghosh; Pradeep Natarajan; Shih-Fu Chang; Jan P. Allebach (CVPR Workshops, 2022)

Multi-Modal Pre-Training for Automated Speech Recognition. - David M. Chan; Shalini Ghosh; Debmalya Chakrabarty; Björn Hoffmeister (ICASSP, 2022)

Content-Context Factorized Representations for Automated Speech Recognition. - David M. Chan; Shalini Ghosh (INTERSPEECH, 2022)

Disentangled Action Recognition with Knowledge Bases. - Zhekun Luo; Shalini Ghosh; Devin Guillory; Keizo Kato; Trevor Darrell; Huijuan Xu 001 (NAACL-HLT, 2022)

Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. - Chao-Han Huck Yang; Yile Gu; Yi-Chieh Liu; Shalini Ghosh; Ivan Bulyko; Andreas Stolcke (ASRU, 2023)

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. - Yu Yu; Chao-Han Huck Yang; Jari Kolehmainen; Prashanth Gurunath Shivakumar; Yile Gu; Sungho Ryu; Roger Ren; Qi Luo; Aditya Gourav; I-Fan Chen; Yi-Chieh Liu; Tuan Dinh; et al. (ASRU, 2023)

Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition. - David M. Chan; Shalini Ghosh; Ariya Rastrow; Björn Hoffmeister (ICASSP, 2023)

Prune Then Distill: Dataset Distillation with Importance Sampling. - Anirudh S. Sundar; Gokce Keskin; Chander Chandak; I-Fan Chen; Pegah Ghahremani; Shalini Ghosh (ICASSP, 2023)

Unified Modeling of Multi-Domain Multi-Device ASR Systems. - Soumyajit Mitra; Swayambhu Nath Ray; Bharat Padi; Raghavendra Bilgi; Harish Arsikere; Shalini Ghosh; Ajay Srinivasamurthy; Sri Garimella (TSD, 2023)

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. - Vladislav Lialin; Stephen Rawls; David Chan; Shalini Ghosh; Anna Rumshisky; Wael Hamza (WACV (Workshops), 2023)

Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition. - David M. Chan; Shalini Ghosh; Ariya Rastrow; Björn Hoffmeister (CoRR, 2023)

JAB: Joint Adversarial Prompting and Belief Augmentation. - Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Jwala Dhamala; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. - Yash Jain; David M. Chan; Pranav Dheram; Aparna Khare; Olabanji Shonibare; Venkatesh Ravichandran; Shalini Ghosh (LREC/COLING, 2024)

FLIRT: Feedback Loop In-context Red Teaming. - Ninareh Mehrabi; Palash Goyal; Christophe Dupuy; Qian Hu; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (EMNLP, 2024)

Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. - David M. Chan; Shalini Ghosh; Hitesh Tulsiani; Ariya Rastrow; Björn Hoffmeister (ICASSP, 2024)

Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. - Kevin Everson; Yile Gu; Chao-Han Huck Yang; Prashanth Gurunath Shivakumar; Guan-Ting Lin; Jari Kolehmainen; Ivan Bulyko; Ankur Gandhe; Shalini Ghosh; Wael Hamza; Hung-Yi Lee; Ariya Rastrow; et al. (ICASSP, 2024)

Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. - Guan-Ting Lin; Prashanth Gurunath Shivakumar; Ankur Gandhe; Chao-Han Huck Yang; Yile Gu; Shalini Ghosh; Andreas Stolcke; Hung-Yi Lee; Ivan Bulyko (ICASSP, 2024)

Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. - Anirudh S. Sundar; Chao-Han Huck Yang; David M. Chan; Shalini Ghosh; Venkatesh Ravichandran; Phani Sankar Nidadavolu (ICASSP Workshops, 2024)

An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems. - Hitesh Tulsiani; David M. Chan; Shalini Ghosh; Garima Lalwani; Prabhat Pandey; Ankish Bansal; Sri Garimella; Ariya Rastrow; Björn Hoffmeister (ICML, 2024)

Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. - Yash Jain; David Chan; Pranav Dheram; Aparna Khare; Olabanji Shonibare; Venkatesh Ravichandran; Shalini Ghosh (CoRR, 2024)

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. - Kuan-Po Huang; Shu-Wen Yang; Huy Phan; Bo-Ru Lu; Byeonggeun Kim; Sashank Macha; Qingming Tang; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang (CoRR, 2025)

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction. - Shu-Wen Yang; Byeonggeun Kim; Kuan-Po Huang; Qingming Tang; Huy Phan; Bo-Ru Lu; Harsha Sundar; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang (CoRR, 2025)