Yaohua Zha

According to our database, Yaohua Zha authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting.

Yaohua Zha, Chunlin Fan, Peiyuan Liu, Yong Jiang, Tao Dai, Hai Wu, Shu-Tao Xia

CoRR, January, 2026

CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection.

Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning.

Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

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

Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning.

Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.

Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia

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

Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception.

Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia

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

MambaIRv2: Attentive State Space Restoration.

Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

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

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.

Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia

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

GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud.

Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.

Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia

CoRR, 2024

Towards Scalable Semantic Representation for Recommendation.

Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia

CoRR, 2024

Pre-training Point Cloud Compact Model with Partial-aware Reconstruction.

Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia

CoRR, 2024

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.

Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia

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

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.

Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia

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

Large Point-to-Gaussian Model for Image-to-3D Generation.

Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Invertible Residual Rescaling Models.

Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LR-MAE: Locate while Reconstructing with Masked Autoencoders for Point Cloud Self-supervised Learning.

Huizhen Ji, Yaohua Zha, Qingmin Liao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.

Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.

Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SFR: Semantic-Aware Feature Rendering of Point Cloud.

Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2023

Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling.

Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2023