Xuanming Liu

Orcid: 0009-0007-3646-6645

According to our database1, Xuanming Liu authored at least 15 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Cantonese sentence dataset for lip-reading.
IET Image Process., August, 2024

Relational-branchformer: Novel framework for audio-visual speech recognition.
Image Vis. Comput., 2024

Scalable Collaborative zk-SNARK: Fully Distributed Proof Generation and Malicious Security.
IACR Cryptol. ePrint Arch., 2024

SmartZKCP: Towards Practical Data Exchange Marketplace Against Active Attacks.
IACR Cryptol. ePrint Arch., 2024

Scalable Collaborative zk-SNARK and Its Application to Efficient Proof Outsourcing.
IACR Cryptol. ePrint Arch., 2024

DeepFold: Efficient Multilinear Polynomial Commitment from Reed-Solomon Code and Its Application to Zero-knowledge Proofs.
IACR Cryptol. ePrint Arch., 2024

2023
Exploring complementarity of global and local information for effective lip reading.
J. Electronic Imaging, 2023

Evaluate and Guard the Wisdom of Crowds: Zero Knowledge Proofs for Crowdsourcing Truth Inference.
CoRR, 2023

Lip Reading Using Temporal Adaptive Module.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Lip Reading in Cantonese.
IEEE Access, 2022

2020
Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019
Top-<i>k</i> frequent items and item frequency tracking over sliding windows of any size.
Inf. Sci., 2019

Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017
Top-k Frequent Items and Item Frequency Tracking over Sliding Windows of Any Sizes.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017


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