Pengtao Chen

Orcid: 0000-0002-5353-2807

According to our database1, Pengtao Chen authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Δ-DiT: Accelerating Diffusion Transformers without Training via Denoising Property Alignment.
Int. J. Comput. Vis., June, 2026

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ReasonEdit: Towards Reasoning-Enhanced Image Editing Models.
CoRR, November, 2025

RegionE: Adaptive Region-Aware Generation for Efficient Image Editing.
CoRR, October, 2025

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.
CoRR, June, 2025

TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum.
IEEE Trans. Dependable Secur. Comput., 2025

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DiTFastAttnV2: Head-Wise Attention Compression for Multi-Modality Diffusion Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A Manta Ray-Inspired Fast-Swimming Soft Electrohydraulic Robotic Fish.
IEEE Robotics Autom. Lett., September, 2024

Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.
CoRR, 2024

2023
Improving the Item Selection Process with Reinforcement Learning in Computerized Adaptive Testing.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2021
Sampling Subgraph Network With Application to Graph Classification.
IEEE Trans. Netw. Sci. Eng., 2021

TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021


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