Tolerating hardware device failures in software. - Asim Kadav; Matthew J. Renzelmann; Michael M. Swift (SOSP, 2009)

Live migration of direct-access devices. - Asim Kadav; Michael M. Swift (ACM SIGOPS Oper. Syst. Rev., 2009)

Differential RAID: rethinking RAID for SSD reliability. - Asim Kadav; Mahesh Balakrishnan 001; Vijayan Prabhakaran; Dahlia Malkhi (ACM SIGOPS Oper. Syst. Rev., 2010)

Improving the Online Video Chat Experience. - Asim Kadav; Chelsea Wanta; Nai-Wen Claire Yu; Kyung Lee; Enid N. H. Montague (HCI (19), 2011)

Understanding modern device drivers. - Asim Kadav; Michael M. Swift (ASPLOS, 2012)

SymDrive: Testing Drivers without Devices. - Matthew J. Renzelmann; Asim Kadav; Michael M. Swift (OSDI, 2012)

Fine-grained fault tolerance using device checkpoints. - Asim Kadav; Matthew J. Renzelmann; Michael M. Swift (ASPLOS, 2013)

Blizzard: Fast, Cloud-scale Block Storage for Cloud-oblivious Applications. - James W. Mickens; Edmund B. Nightingale; Jeremy Elson; Darren Gehring; Bin Fan; Asim Kadav; Vijay Chidambaram; Osama Khan; Krishna Nareddy (NSDI, 2014)

MALT: distributed data-parallelism for existing ML applications. - Hao Li 022; Asim Kadav; Erik Kruus; Cristian Ungureanu (EuroSys, 2015)

Revisiting Hash Table Design for Phase Change Memory. - Biplob Debnath; Alireza Haghdoost; Asim Kadav; Mohammed G. Khatib; Cristian Ungureanu (ACM SIGOPS Oper. Syst. Rev., 2015)

Privacy Preserving Collaboration in Bring-Your-Own-Apps. - Sangmin Lee; Deepak Goel; Edmund L. Wong; Asim Kadav; Mike Dahlin (SoCC, 2016)

ASAP: Asynchronous Approximate Data-Parallel Computation. - Asim Kadav; Erik Kruus (CoRR, 2016)

Pruning Filters for Efficient ConvNets. - Hao Li 022; Asim Kadav; Igor Durdanovic; Hanan Samet; Hans Peter Graf (ICLR (Poster), 2017)

A Context-aware Attention Network for Interactive Question Answering. - Huayu Li; Martin Renqiang Min; Yong Ge; Asim Kadav (KDD, 2017)

Grounded Objects and Interactions for Video Captioning. - Chih-Yao Ma; Asim Kadav; Iain Melvin; Zsolt Kira; Ghassan AlRegib; Hans Peter Graf (CoRR, 2017)

DeepConfig: Automating Data Center Network Topologies Management with Machine Learning. - Christopher Streiffer; Huan Chen; Theophilus Benson; Asim Kadav (CoRR, 2017)

Attend and Interact: Higher-Order Object Interactions for Video Understanding. - Chih-Yao Ma; Asim Kadav; Iain Melvin; Zsolt Kira; Ghassan AlRegib; Hans Peter Graf (CVPR, 2018)

Teaching Syntax by Adversarial Distraction. - Juho Kim; Christopher Malon; Asim Kadav (FEVER@EMNLP, 2018)

Adaptive Memory Networks. - Daniel Li; Asim Kadav (ICLR (Workshop), 2018)

DeepConf: Automating Data Center Network Topologies Management with Machine Learning. - Saim Salman; Christopher Streiffer; Huan Chen; Theophilus Benson; Asim Kadav (NetAI@SIGCOMM, 2018)

Visual Entailment Task for Visually-Grounded Language Learning. - Ning Xie 009; Farley Lai; Derek Doran; Asim Kadav (CoRR, 2018)

Contextual Grounding of Natural Language Entities in Images. - Farley Lai; Ning Xie 009; Derek Doran; Asim Kadav (ViGIL@NeurIPS, 2019)

Visual Entailment: A Novel Task for Fine-Grained Image Understanding. - Ning Xie 009; Farley Lai; Derek Doran; Asim Kadav (CoRR, 2019)

Tripping through time: Efficient Localization of Activities in Videos. - Meera Hahn; Asim Kadav; James M. Rehg; Hans Peter Graf (BMVC, 2020)

15 Keypoints Is All You Need. - Michael Snower; Asim Kadav; Farley Lai; Hans Peter Graf (CVPR, 2020)

S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. - Yizhe Zhu; Martin Renqiang Min; Asim Kadav; Hans Peter Graf (CVPR, 2020)

Dual Projection Generative Adversarial Networks for Conditional Image Generation. - Ligong Han; Martin Renqiang Min; Anastasis Stathopoulos; Yu Tian 003; Ruijiang Gao; Asim Kadav; Dimitris N. Metaxas (ICCV, 2021)

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. - Honglu Zhou; Asim Kadav; Farley Lai; Alexandru Niculescu-Mizil; Martin Renqiang Min; Mubbasir Kapadia; Hans Peter Graf (ICLR, 2021)

COMPOSER: Compositional Learning of Group Activity in Videos. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (CoRR, 2021)

SplitBrain: Hybrid Data and Model Parallel Deep Learning. - Farley Lai; Asim Kadav; Erik Kruus (CoRR, 2021)

Self-supervised Video Representation Learning with Cascade Positive Retrieval. - Cheng-En Wu; Farley Lai; Yu Hen Hu; Asim Kadav (CVPR Workshops, 2022)

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (ECCV (35), 2022)

Learning Higher-order Object Interactions for Keypoint-based Video Understanding. - Yi Huang; Asim Kadav; Farley Lai; Deep Patel; Hans Peter Graf (CoRR, 2023)

Automated Clinical Data Extraction with Knowledge Conditioned LLMs. - Diya Li; Asim Kadav; Aijing Gao; Rui Li; Richard Bourgon (COLING (Industry), 2025)

Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory. - Saket Gurukar; Asim Kadav (CoRR, 2025)