Haowei Zhu

According to our database, Haowei Zhu authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling.

Keming Wu, Zuhao Yang, Kaichen Zhang, Shizun Wang, Haowei Zhu, Sicong Leng, Zhongyu Yang, Qijie Wang, Sudong Wang, Ziting Wang, Zili Wang, Hui Zhang, Haonan Wang, Hang Zhou, Yifan Pu, Xingxuan Li, Fangneng Zhan, Bo Li, Lidong Bing, Yuxin Song, Ziwei Liu, Wenhu Chen, Jingdong Wang, Xinchao Wang, Xiaojuan Qi, Shijian Lu, Bin Wang

CoRR, April, 2026

DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity.

Haowei Zhu, Ji Liu, Ziqiong Liu, Dong Li, Junhai Yong, Bin Wang, Emad Barsoum

CoRR, April, 2026

Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting.

Tingxuan Huang, Haowei Zhu, Jun-Hai Yong, Hao Pan, Bin Wang

CoRR, March, 2026

TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration.

Haowei Zhu, Tingxuan Huang, Xing Wang, Tianyu Zhao, Jiexi Wang, Weifeng Chen, Xurui Peng, Fangmin Chen, Junhai Yong, Bin Wang

CoRR, March, 2026

DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation.

Jiajun Jiao, Haowei Zhu, Puyuan Yang, Jianghui Wang, Ji Liu, Ziqiong Liu, Dong Li, Yuejian Fang, Junhai Yong, Bin Wang, Emad Barsoum

CoRR, January, 2026

DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation.

Jiajun Jiao, Haowei Zhu, Puyuan Yang, Jianghui Wang, Ji Liu, Ziqiong Liu, Dong Li, Yuejian Fang, Jun-Hai Yong, Bin Wang, Emad Barsoum

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Prior Waveform Guided Network (PWGN) for Laser Detection in Fog.

Haowei Zhu, Long Wu, Xu Yang, Lu Xu, Shuyu Chen, Yong Zhang, Jianlong Zhang, Chenghua Yang, Wei Zhang

Appl. Artif. Intell., December, 2025

ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection.

Haowei Zhu, Tianxiang Pan, Rui Qin, Jun-Hai Yong, Bin Wang

CoRR, October, 2025

Ellipsoid-SLAM: enhancing dynamic scene understanding through ellipsoidal object representation and trajectory tracking.

Haowei Zhu, Suqin Bai, Jinlong Shi, Jiawen Lu, Xin Zuo, Shucheng Huang, Xu Yao

Vis. Comput., August, 2025

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao

CoRR, April, 2025

IOFusion: instance segmentation and optical-flow guided 3D reconstruction in dynamic scenes.

Haowei Zhu, Suqin Bai, Jinlong Shi, Chenggen Wang, Yunhan Sun, Jiawen Lu, Xin Shu, Shucheng Huang

Vis. Comput., January, 2025

DeLoCo: Decoupled location context-guided framework for wildlife species classification using camera trap images.

Lifeng Wang, Shun Wang, Chenxun Deng, Haowei Zhu, Ye Tian, Junguo Zhang

Ecol. Informatics, 2025

Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling.

Rui Qin, Qijie Wang, Ming Sun, Haowei Zhu, Chao Zhou, Bin Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Semantic Hierarchical Prompt Tuning for Parameter-Efficient Fine-Tuning.

Haowei Zhu, Fangyuan Zhang, Rui Qin, Tianxiang Pan, Jun-Hai Yong, Bin Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

EPM-Net: Efficient Feature Extraction, Point-Pair Feature Matching for Robust 6-D Pose Estimation.

Jiahui Zhang, Jinlong Shi, Danping Zou, Xin Shu, Suqin Bai, Jiawen Lu, Haowei Zhu, Jun Ni, Yunhan Sun

IEEE Trans. Multim., 2024

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing.

Zekai Li, Jintu Zheng, Ji Liu, Han Liu, Haowei Zhu, Zeping Li, Fuwei Yang, Haiduo Huang, Jinzhang Peng, Dong Li, Lu Tian, Emad Barsoum

CoRR, 2024

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao

CoRR, 2024

Distribution-Aware Data Expansion with Diffusion Models.

Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization.

Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Jun-Hai Yong, Bin Wang, Emad Barsoum

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Depth Guidance and Intradomain Adaptation for Semantic Segmentation.

Jiawen Lu, Jinlong Shi, Haowei Zhu, Jun Ni, Xin Shu, Yunhan Sun, Zhigang Cheng

IEEE Trans. Instrum. Meas., 2023

2022

Class incremental learning for wildlife biodiversity monitoring in camera trap images.

Haowei Zhu, Ye Tian, Junguo Zhang

Ecol. Informatics, 2022

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification.

Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022