Qirui Chen

Orcid: 0009-0004-5625-1594

According to our database1, Qirui Chen authored at least 15 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Object-centric Video Question Answering with Visual Grounding and Referring.
CoRR, July, 2025

Learning Streaming Video Representation via Multitask Training.
CoRR, April, 2025

14.5 A 28nm 192.3TFLOPS/W Accurate/Approximate Dual-Mode-Transpose Digital 6T-SRAM CIM Macro for Floating-Point Edge Training and Inference.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025

Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Hardware accelerator for high accuracy sign language recognition with residual network based on FPGAs.
IEICE Electron. Express, 2024

Unlocking Video-LLM via Agent-of-Thoughts Distillation.
CoRR, 2024

34.6 A 28nm 72.12TFLOPS/W Hybrid-Domain Outer-Product Based Floating-Point SRAM Computing-in-Memory Macro with Logarithm Bit-Width Residual ADC.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Multi-sentence Grounding for Long-Term Instructional Video.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Steel Strip Defect Sample Generation Method Based on Fusible Feature GAN Model under Few Samples.
Sensors, March, 2023

A Strong Baseline for Temporal Video-Text Alignment.
CoRR, 2023

Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Defining and Quantifying the Emergence of Sparse Concepts in DNNs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models.
CoRR, 2021

Learning Baseline Values for Shapley Values.
CoRR, 2021


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