Abhirup Ghosh

23 papers A* 3A 1B 2Misc 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction.
CoRR
Xiaofeng Yu, Jiaheng Dong, Jean Honorio, Abhirup Ghosh, Hong Jia, Ting Dang
2025 J jnl
Benchmarking Federated Machine Unlearning methods for Tabular Data.
CoRR
Chenguang Xiao, Abhirup Ghosh, Han Wu, Shuo Wang, Diederick van Thiel
2025 J jnl
BoTTA: Benchmarking on-device Test Time Adaptation.
CoRR
Michal Danilowski, Soumyajit Chatterjee, Abhirup Ghosh
2025 J jnl
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models.
CoRR
Jiaheng Dong, Hong Jia, Soumyajit Chatterjee, Abhirup Ghosh, James Bailey, Ting Dang
2025 J jnl
NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering.
CoRR
Alexander Murphy, Michal Danilowski, Soumyajit Chatterjee, Abhirup Ghosh
2024 A* conf
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation.
KDD
Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo
2024 B conf
In-Network Approximate and Efficient Spatiotemporal Range Queries on Moving Objects.
EDBT
Guang Yang, Abhirup Ghosh, Liang Liang, Thomas Heinis
2024 — conf
Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications.
ML4H@NeurIPS
Yuwei Zhang, Tong Xia, Abhirup Ghosh, Cecilia Mascolo
2023 Misc conf
Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection.
ICASSP
Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo
2023 J jnl
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection.
CoRR
Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo
2023 J jnl
FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation.
CoRR
Tong Xia, Abhirup Ghosh, Cecilia Mascolo
2023 A* conf
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning.
IJCAI
Abhirup Ghosh, Cecilia Mascolo
2022 J jnl
Continual and Sliding Window Release for Private Empirical Risk Minimization.
CoRR
Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar
2022 — conf
Investigating Domain-agnostic Performance in Activity Recognition using Accelerometer Data.
UbiComp/ISWC Adjunct
Apinan Hasthanasombat, Abhirup Ghosh, Dimitris Spathis, Cecilia Mascolo
2022 B conf
Publishing Asynchronous Event Times with Pufferfish Privacy.
DCOSS
Jiaxin Ding, Abhirup Ghosh, Rik Sarkar, Jie Gao
2021 — conf
HYPO: skew-resilient partitioning for trajectory datasets.
LocalRec@SIGSPATIAL
Giannis Evagorou, Abhirup Ghosh, Thomas Heinis
2021 — conf
Mobility-based Individual POI Recommendation to Control the COVID-19 Spread.
IEEE BigData
Abhirup Ghosh, Tong Xia
2020 A* conf
Differentially Private Range Counting in Planar Graphs for Spatial Sensing.
INFOCOM
Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
2020 J jnl
Targeted Interventions Reduce the Spread of COVID-19: Simulation Study on Real Mobility Data.
CoRR
Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
2019 — —
Machine learning and privacy preserving algorithms for spatial and temporal sensing.
Abhirup Ghosh
2018 — conf
Topological signatures for fast mobility analysis.
SIGSPATIAL/GIS
Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar
2017 A conf
Finding Periodic Discrete Events in Noisy Streams.
CIKM
Abhirup Ghosh, Christopher Lucas, Rik Sarkar
2014 J jnl
Mouse Control using a Web Camera based on Colour Detection.
CoRR
Abhik Banerjee, Abhirup Ghosh, Koustuvmoni Bharadwaj, Hemanta Saikia