Hao Jiang
Electrical and Electronic Engineering · CCRV · 2002–2021
A researcher in the Science corpus: 14 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 131 citations into it; #12,845 of 16,539 by trust here, #2,016 by citations
- Electronic, Optical and Magnetic Materials — 109 citations into it; #1,999 of 2,886 by trust here, #678 by citations
- Artificial Intelligence — 51 citations into it
- Finance — 32 citations into it
- Accounting — 23 citations into it
- Economics and Econometrics — 20 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
Whom Hao Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mitchell A. Petersen
- Whitney K. Newey
- K. Cremers
- Joseph Chen
- Andrew Ang
- Antti Petajisto
- Marcin T. Kacperczyk
- Russ Wermers
- G. Huang
- Ken West
Who trusts Hao Jiang overall
- Yanfeng Ma
- Gregor Maier
- Yongsheng Chen
- Anja Feldmann
- Vern Paxson
- Yin Zhang
- Aleksandar Kuzmanovic
- D. Dubal
- Jun Yan
- M. Mohammadi
Papers from Hao Jiang's perspective
Ordered by how strongly the researchers Hao Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Reading Wikipedia to Answer Open-Domain Questions
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- REALM: Retrieval-Augmented Language Model Pre-Training (International Conference on Machine Learning)
- Latent Retrieval for Weakly Supervised Open Domain Question Answering
- Gradient-based learning applied to document recognition
Their papers
- 3D carbon based nanostructures for advanced supercapacitors (2013) — 1,335 citations
- An online sequential extreme learning machine approach to WiFi based indoor positioning (2014) — 66 citations
- Crashworthiness of vertex based hierarchical honeycombs in out-of-plane impact (2016) — 220 citations
- Hierarchical self-assembly of ultrathin nickel hydroxide nanoflakes for high-performance supercapacitors (2011) — 445 citations
- Answer Complex Questions: Path Ranker Is All You Need (2021) — 32 citations
- 2D Nanospace Confined Synthesis of Pseudocapacitance‐Dominated MoS2‐in‐Ti3C2 Superstructure for Ultrafast and Stable Li/Na‐Ion Batteries (2018) — 219 citations
- Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization (2015) — 393 citations
- Highly Stretchable Conductors Integrated with a Conductive Carbon Nanotube/Graphene Network and 3D Porous Poly(dimethylsiloxane) (2014) — 187 citations
- Does Herding Behavior Reveal Skill? An Analysis of Mutual Fund Performance (2013) — 157 citations
- Direct and full-scale experimental verifications towards ground–satellite quantum key distribution (2012) — 311 citations
- Polyaniline–MnO2 coaxial nanofiber with hierarchical structure for high-performance supercapacitors (2012) — 157 citations
- High–rate electrochemical capacitors from highly graphitic carbon–tipped manganese oxide/mesoporous carbon/manganese oxide hybrid nanowires (2011) — 332 citations
- Bimaterial Microcantilevers as a Hybrid Sensing Platform (2008) — 181 citations
- Passive estimation of TCP round-trip times (2002) — 359 citations