Bing Li

Orcid: 0000-0002-1875-2919

Affiliations:
  • Agency for Science, Technology and Research, A*STAR, Centre for Frontier AI Research, Singapore
  • University of New South Wales, UNSW, School of Computer Science and Engineering, Australia (former)
  • Northeastern University, School of Information Science and Engineering, Shenyang, China (PhD 2018)


According to our database1, Bing Li authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
GrapHAR: A Lightweight Human Activity Recognition Model by Exploring the Sub-Carrier Correlations.
IEEE Trans. Wirel. Commun., April, 2024

2023
DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Privacy-Preserving Cross-Environment Human Activity Recognition.
IEEE Trans. Cybern., March, 2023

2022
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization.
IEEE Trans. Veh. Technol., 2022

Robust cross-network node classification via constrained graph mutual information.
Knowl. Based Syst., 2022

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
Fine-Grained Named Entity Typing over Distantly Supervised Data via Refinement in Hyperbolic Space.
CoRR, 2021

Device-free single-user activity recognition using diversified deep ensemble learning.
Appl. Soft Comput., 2021

Improving the Efficiency and Effectiveness for BERT-based Entity Resolution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Two-Stream Convolution Augmented Transformer for Human Activity Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.
IEEE Internet Things J., 2020

HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Recursively Binary Modification Model for Nested Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
GIS-Based Probabilistic Modeling of BEV Charging Load for Australia.
IEEE Trans. Smart Grid, 2019

An Efficient Method for High Quality and Cohesive Topical Phrase Mining.
IEEE Trans. Knowl. Data Eng., 2019

Robust Mobile Location Estimation in NLOS Environment Using GMM, IMM, and EKF.
IEEE Syst. J., 2019

2018
Received Signal Strength Based Indoor Positioning Using a Random Vector Functional Link Network.
IEEE Trans. Ind. Informatics, 2018

An Adaptive Hierarchical Compositional Model for Phrase Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Efficiently Mining High Quality Phrases from Texts.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dynamic Multidimensional Scaling Algorithm for 3-D Mobile Localization.
IEEE Trans. Instrum. Meas., 2016

CITPM: A Cluster-Based Iterative Topical Phrase Mining Framework.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
A Robust Wireless Sensor Network Localization Algorithm in Mixed LOS/NLOS Scenario.
Sensors, 2015

Indoor Robot Localization Based on Multidimensional Scaling.
Int. J. Distributed Sens. Networks, 2015


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