Zhenhong Sun

Orcid: 0009-0000-5135-0658

According to our database1, Zhenhong Sun authored at least 27 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Informative Latent Representation for Quantum State Tomography.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics.
CoRR, April, 2026

3DXTalker: Unifying Identity, Lip Sync, Emotion, and Spatial Dynamics in Expressive 3D Talking Avatars.
CoRR, February, 2026

Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation.
CoRR, January, 2026

T$^3$-S2S: Training-free Triplet Tuning for Sketch to Scene Synthesis in Controllable Concept Art Generation.
Trans. Mach. Learn. Res., 2026

Learning hierarchical time-frequency representation for long-term time series forecasting.
Inf. Process. Manag., 2026

2025
Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer.
IEEE Trans. Cybern., June, 2025

Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision.
CoRR, April, 2025

Hierarchical and Step-Layer-Wise Tuning of Attention Specialty for Multi-Instance Synthesis in Diffusion Transformers.
CoRR, April, 2025

Power Transmission Corridors Wildfire Detection for Multi-Scale Fusion and Adaptive Texture Learning Based on Transformers.
IEEE Access, 2025

Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
T<sup>3</sup>-S2S: Training-free Triplet Tuning for Sketch to Scene Generation.
CoRR, 2024

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Attention-Based Transformer Networks for Quantum State Tomography.
CoRR, 2023

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Estimation of Quantum Channels Using Neural Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Entropy-Driven Mixed-Precision Quantization for Deep Network Design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection.
Proceedings of the International Conference on Machine Learning, 2022

Jmpnet: Joint Motion Prediction for Learning-Based Video Compression.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search.
CoRR, 2021

Spatiotemporal Entropy Model is All You Need for Learned Video Compression.
CoRR, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition.
CoRR, 2021

Interpolation Variable Rate Image Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Accurate Entropy Model with Global Reference for Image Compression.
Proceedings of the 9th International Conference on Learning Representations, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
End-to-end Optimized Image Compression with Attention Mechanism.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


  Loading...