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Researcher, Huawei Noah's Ark Lab
Email: ying.nie@zju.edu.cn, ying.nie@huawei.com
Hello, I am currently a researcher at Huawei Noah's Ark Lab. I received B.S. degree from the Department of Applied Mathematics at Xidian University and M.S. degree from the Department of Computer Science at Zhejiang University (advised by Prof. Ruofeng Tong). My research interests lie in llm, agent and vla.
VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse
Ying Nie, Kai Han#, Hongguang Li, Hang Zhou, Tianyu Guo, Enhua Wu, Xinghao Chen, Yunhe Wang#
arXiv, December 2025.
Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models
Chengcheng Wang, Jianyuan Guo, Hongguang Li, Yuchuan Tian, Ying Nie, Chang Xu#, Kai Han#
arXiv, May 2025.
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
Jing Han*, Binwei Yan*, Jianyuan Guo, Zheyuan Bai, Mengyu Zheng, Hanting Chen, Ying Nie*#
Proceedings of the 42nd International Conference on Machine Learning, ICML 2025.
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models
Ying Nie*, Binwei Yan*, Tianyu Guo, Hao Liu, Haoyu Wang, Wei He, Binfan Zheng, Weihao Wang, Qiang Li, Weijian Sun, Yunhe Wang#, Dacheng Tao
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL Main), April 2025.
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao#, Kai Han#
Proceedings of the AAAI Conference on Artificial Intelligence, 2025.
Cross-video identity correlating for person re-identification pre-training
Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao#
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Main Conference Track.
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Hanyu Zhou, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao#
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao
arXiv, December 2025.
Species196: A one-million semi-supervised dataset for fine-grained species recognition
Wei He, Kai Han#, Ying Nie, Chengcheng Wang, Yunhe Wang#
Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Datasets and Benchmarks Track.
Gold-YOLO: Efficient object detector via gather-and-distribute mechanism
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang#, Kai Han#
Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Main Conference Track.
Lightclip: learning multi-level interaction for lightweight vision-language models
Ying Nie, Wei He, Kai Han#, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang#
arXiv, December 2023.
A transformer-based object detector with coarse-fine crossing representations
Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang#
Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Main Conference Track.
Redistribution of weights and activations for AdderNet quantization
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang#
Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Main Conference Track.
Network amplification with efficient macs allocation
Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang#
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition WorkShop, 2022.
Dynamic resolution network
Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang#
Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang#
Transactions on Machine Learning Research.
Multi-bit Adaptive Distillation for Binary Neural Networks
Ying Nie, Kai Han, Yunhe Wang#
The 32nd British Machine Vision Conference (BMVC), November 2021.
