Yachao Zhang(张亚超)

🌈 I am an Assistant Professor at School of Informatics, Xiamen University in Xiamen, Fujian, China. Previously, I worked as a postdoctoral researcher at the Intelligent Computing Lab, SIGS of Tsinghua University.

🏳️‍🌈 My research interests include, but are not limited to: 3D Computer Vision (3D computer vision, 3D digital human avatar), Machine Learning (weakly-supervised learning, unsupervised learning, transfer learning). If you are interested in my research or have any use cases that you want to share, feel free to contact me!

🤡I am actively recruiting self-motivated master students. 🤝

I plan to admit 2-4 master students in 2025 and 2026. I am not concerned about the level of your undergraduate institution; I require a down-to-earth attitude, the drive to improve, a strong sense of self-motivation, and compliance with the laboratory’s unified management.

For master students who aspire to work in the industry, I will focus on cultivating their practical skills.

For master students who wish to further their academic studies, I will train them to the standard of PhD students, equipping them with the ability to conduct independent research.

I am also recruiting several high-year undergraduate interns. The recruitment is aimed at students majoring in computer science, automation, mathematics, and related fields. _______________________________________________________________________________________________________News滚动展示

✍News

[Feb 2025] One paper about Text-to-Motion Generation with GPT-4Vision Reward is accepted by CVPR 2025!
[Feb 2025] One paper about cross-modal 3D semantic segmentation is accepted by TCSVT!
[Jan 2025] One paper about weakly-supervised point cloud semantic segmentation is accepted by TNNLS!
[Dec 2024] One paper about multi-modal learning are accepted by AAAI 2025!
[Sep 2024] Three papers about multi-modal learning are accepted by NeurIPS 2024!
[Aug 2024] Three papers about multi-modal learning are accepted by ACMMM 2024!
[Jul 2024] One paper about multi-modal label efficient learning is accepted by ECCV 2024!
[Jun 2024] One paper about Object Detection is accepted by TNNLS!
[Feb 2024] One paper about AI ChoreoMaster is accepted by CVPR 2024!
[Jan 2024] One papers about about camouflaged object detection is accepted by ICLR 2024!
[Dec 2023] Three papers about digital human avatar and cross-modal zero-shot learning are accepted by ICASSP 2024!
[Dec 2023] Two papers about multi-modal understanding and multi-modal gestures generation are accepted by AAAI 2024!
[Oct 2023] Our paper about Semi-Supervised Defect Segmentation is accepted by TNNLS!
[Sep 2023] One paper about weakly supervised learning is accepted by NeurIPS 2023!
[Aug 2023] My application of the National Natural Science Foundation of China is approved!
[Jul 2023] One paper about multi-modal unsupervised domain adaptation semantic segmentation is accepted by ACMMM 2023!
[Jul 2023] Four papers about multi-modal learning, ANN2SNN, and AI ChoreoMaster are accepted by ICCV 2023!
[Jun 2023] My application of the China Postdoctoral Science Foundation is approved!
[Apr 2023] One paper about zero-shot learning is accepted by IJCAI 2023!
[Mar 2023] One paper about camouflaged object detection is accepted by CVPR 2023!
[Feb 2023] One paper about long-tailed learning is accepted by ICASSP 2023!
[Nov 2022] One paper about weakly-supervised point cloud semantic segmentation is accepted by AAAI 2023!
[Aug 2022] One paper about binary multi-view cluster is accepted by TNNLS!
[Jul 2022] Two papers about multi-modal unsupervised domain adaptation semantic segmentation are accepted by ACMMM 2022!
[Jun 2022] I am the winner of the title of "Outstanding Graduate" of Xiamen University!
[Jun 2022] I successfully defended my PhD thesis!
[Mar 2022] I am the winner of Xiamen University Liu Yubin Youth Science and Technology Scholarship!
[Nov 2021] I am the winner of the title of "Outstanding Student" of Xiamen University!
[Dec 2021] I am the winner of the first prize of the 2021 Excellent Paper Award of Fujian Computer Society!
[Jul 2021] One paper about weakly-supervised point cloud semantic segmentation is accepted by ICCV 2021!
[Mar 2021] One paper about PolSAR Image Classification is accepted by Remote Sensing!
[Dec 2020] One paper about weakly-supervised large scale point cloud semantic segmentation is accepted by AAAI 2021!

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📚Selected Publications (1️⃣ Equal contribution, 📧 Corresponding author)

	AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward Haonan Han, Xiangzuo Wu, Huan Liao, Zunnan Xu, Zhongyuan Hu, Ronghui Li, Yachao Zhang📧, Xiu Li📧. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2025) [Paper][Project Page]
	Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation Yachao Zhang, Yuxiang Lan, Yuan Xie, Cuihua Li, Yanyun Qu📧. IEEE Transactions on Neural Networks and Learning Systems (TNNLS, 2025) [Paper][Code]
	UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior Yao Wu, Mingwei Xing, Yachao Zhang📧, Xiaotong Luo, Yuan Xie, Yanyun Qu📧 Annual Conference on Neural Information Processing Systems (NeurIPS 2024) [Paper][Code]
	MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models Zunnan Xu, Yukang Lin，Haonan Han, Sicheng Yang, Ronghui Li, Yachao Zhang📧，Xiu Li📧. Annual Conference on Neural Information Processing Systems (NeurIPS 2024) [Paper][Code][Project]
	Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors Yukang Lin，Haonan Han, Chaoqun Gong, Zunnan Xu, Yachao Zhang📧，Xiu Li📧. ACM International Conference on Multimedia (ACMMM 2024) [Paper][Project]
	Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control Zunnan Xu，Yachao Zhang📧，Sicheng Yang，Ronghui Li，Xiu Li📧. Association for the Advance of Artificial Intelligence (AAAI 2024) [Paper][Code coming soon!]
	Cross-Modal Match for Language Conditioned 3D Object Grounding Yachao Zhang, Runze Hu, Ronghui Li, Yanyun Qu, Yuan Xie, Xiu Li📧. Association for the Advance of Artificial Intelligence (AAAI 2024) [Paper][Code coming soon!]
	Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification Jiangming Shi1️⃣, Yachao Zhang1️⃣, Xiangbo Yin, Yuan Xie, Zhizhong Zhang, Jianping Fan, zhongchao shi, Yanyun Qu. IEEE/CVF International Conference on Computer Vision (ICCV 2023) [Paper][Code]
	Efficient Converted Spiking Neural Network for 3D and 2D Classification Yuxiang Lan, Yachao Zhang 📧, Xu Ma, Yanyun Qu, Yun Fu. IEEE/CVF International Conference on Computer Vision (ICCV 2023) [Paper]
	BEV-DG: Cross-Modal Learning under Bird’s-Eye View for Domain Generalization of 3D Semantic Segmentation Miaoyu Li, Yachao Zhang 📧, Xu Ma, Yanyun Qu, Yun Fu. IEEE/CVF International Conference on Computer Vision (ICCV 2023) [Paper]
	Weakly Supervised 3D Segmentation via Receptive-driven Pseudo Label Consistency and Structural Consistency Yuxiang Lan1️⃣, Yachao Zhang1️⃣, Yanyun Qu, Cong Wang, Yuan Xie, Zongze Wu. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023) [Paper][Code]
	VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning Xiaofan Li, Yachao Zhang 📧, Shiran Bian, Yanyun Qu, Yuan Xie, Zhongchao Shi, Jianping Fan. International Joint Conference on Artificial Intelligence (IJCAI 2023) [Paper]
	Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation Miaoyu Li1️⃣,Yachao Zhang1️⃣,Miaoyu Li, Yuan Xie, Zhizhong Zhang, Cuihua Li, Yanyun Qu. ACM International Conference on Multimedia (ACMMM 2022) [Paper][Code]
	Learning All-In Collaborative Multiview Binary Representation for Clustering Yachao Zhang, Yuan Xie, Zongze Wu, Cuihua Li, Yanyun Qu. IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2022) [Paper][Code]
	SSE-xMUDA: Self-supervised Exclusive Learning for 3D Segmentation in Cross-Modal Unsupervised Domain Adaptation Yachao Zhang,Miaoyu Li, Yuan Xie, Zhizhong Zhang, Cuihua Li, Yanyun Qu. ACM International Conference on Multimedia (ACMMM 2022) [Paper][Code]
	Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation Yachao Zhang, Yanyun Qu, Zhonghao Li, Shanshan Zheng, Cuihua Li. IEEE Conference on International Conference on Computer Vision (ICCV 2021) [Paper][Code]
	Weakly supervised semantic segmentation for large-scale point cloud Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) [Paper][Code]

[Please visit [my google scholar profile](https://scholar.google.com/citations?user=a-I8c8EAAAAJ&hl=en) for the full publication list.] _______________________________________________________________________________________________________

📠Academic Services

Conference Reviewer: CVPR, ICML, NeurIPS, AAAI, ICCV, ACMMM, ICLR
Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Image Processing

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✨Hobby

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