Suman Banerjee
Computer Networks and Communications · 2001–2018
A researcher in the Science corpus: 12 papers; trusts 71 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 55 citations into it; #1,106 of 9,886 by trust here, #1,864 by citations
- Accounting — 39 citations into it
- Artificial Intelligence — 33 citations into it; #28,464 of 35,345 by trust here, #12,761 by citations
- Finance — 28 citations into it
- Natural Language Processing — 27 citations into it; #4,657 of 5,688 by trust here, #3,574 by citations
- Electrical and Electronic Engineering — 19 citations into it
- Strategy and Management — 11 citations into it
- Economics and Econometrics — 6 citations into it
Whom Suman Banerjee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ulrike Malmendier
- Peter Iliev
- John C. Coates
- Geoffrey A. Tate
- Catherine Schrand
- Matthew D. Cain
- Antony Ian Taylor Rowstron
- R. Duchin
- Deborah Estrin
- Yatin Chawathe
Who trusts Suman Banerjee overall
- Ossama Younis
- Duc-Anh Tran
- Xinyan Zhang
- M. M. Afsar
- Ameer Ahmed Abbasi
- Jiangchuan Liu
- Kien A. Hua
- Gabriel Ghinita
- V. Padmanabhan
- Xiaofei Liao
Papers from Suman Banerjee's perspective
Ordered by how strongly the researchers Suman Banerjee trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Their papers
- Towards Exploiting Background Knowledge for Building Conversation Systems (2018) — 174 citations
- Restraining Overconfident CEOs through Improved Governance: Evidence from the Sarbanes-Oxley Act (2015) — 196 citations
- Wireless device identification with radiometric signatures (2008) — 895 citations
- An Analysis of Wireless Network Coding for Unicast Sessions: The Case for Coding-Aware Routing (2007) — 367 citations
- Partially overlapped channels not considered harmful (2006) — 343 citations
- Efficient geographic routing in multihop wireless networks (2005) — 331 citations
- Weighted coloring based channel assignment for WLANs (2005) — 378 citations
- Node Placement for Connected Coverage in Sensor Networks (2003) — 344 citations
- Construction of an efficient overlay multicast infrastructure for real-time applications (2003) — 436 citations
- Minimum energy paths for reliable communication in multi-hop wireless networks (2002) — 411 citations
- Scalable application layer multicast (2002) — 1,688 citations
- A clustering scheme for hierarchical control in multi-hop wireless networks (2001) — 645 citations