Zhenbang Du

According to our database, Zhenbang Du authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

R²-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction.

Zhenbang Du, Kejing Xia, Xinrui Zhong, Yonggan Fu, Nicolai Oswald, Binfei Ji, Brucek Khailany, Pavlo Molchanov, Yingyan (Celine) Lin

CoRR, April, 2026

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models.

Kejing Xia, Mingzhe Li, Lixuan Wei, Zhenbang Du, Xiangchi Yuan, Dachuan Shi, Qirui Jin, Wenke Lee

CoRR, March, 2026

2025

Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach.

Zhenbang Du, Jiayu An, Yunlu Tu, Jiahao Hong, Dongrui Wu

IEEE Trans. Artif. Intell., December, 2025

TSPT: Two-Step Prompt Tuning for class-incremental novel class discovery.

Jiayu An, Zhenbang Du, Herui Zhang, Dongrui Wu

Knowl. Based Syst., 2025

CTR-Driven Advertising Image Generation with Multimodal Large Language Models.

Xingye Chen, Wei Feng, Zhenbang Du, Weizhen Wang, Yanyin Chen, Haohan Wang, Linkai Liu, Yaoyu Li, Jinyuan Zhao, Yu Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Zhangang Lin, Jingping Shao, Yuanjie Shao, Xinge You, Changxin Gao, Nong Sang

Proceedings of the ACM on Web Conference 2025, 2025

Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment.

Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo, Yingyan (Celine) Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers.

Haoran You, Connelly Barnes, Yuqian Zhou, Yan Kang, Zhenbang Du, Wei Zhou, Lingzhi Zhang, Yotam Nitzan, Xiaoyang Liu, Zhe Lin, Eli Shechtman, Sohrab Amirghodsi, Yingyan Celine Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training.

Lexington Allen Whalen, Zhenbang Du, Haoran You, Chaojian Li, Sixu Li, Yingyan Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Semisupervised Transfer Boosting (SS-TrBoosting).

Lingfei Deng, Changming Zhao, Zhenbang Du, Kun Xia, Dongrui Wu

IEEE Trans. Artif. Intell., July, 2024

A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries.

Guijun Ma, Songpei Xu, Tao Yang, Zhenbang Du, Limin Zhu, Han Ding, Ye Yuan

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification.

Ruimin Peng, Zhenbang Du, Changming Zhao, Jingwei Luo, Wenzhong Liu, Xinxing Chen, Dongrui Wu

CoRR, 2024

Semi-Supervised Transfer Boosting (SS-TrBoosting).

Lingfei Deng, Changming Zhao, Zhenbang Du, Kun Xia, Dongrui Wu

CoRR, 2024

Towards Reliable Advertising Image Generation Using Human Feedback.

Zhenbang Du, Wei Feng, Haohan Wang, Yaoyu Li, Jingsen Wang, Jian Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junsheng Jin, Junjie Shen, Zhangang Lin, Jingping Shao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach.

Zhenbang Du, Jiayu An, Jiahao Hong, Dongrui Wu

CoRR, 2023