Chuanjian Liu

According to our database, Chuanjian Liu authored at least 23 papers between 2019 and 2025.

Collaborative distances:

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

2025

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models.

Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang

CoRR, August, 2025

Learning Accurate Low-bit Quantization towards Efficient Computational Imaging.

Sheng Xu, Yanjing Li, Chuanjian Liu, Baochang Zhang

Int. J. Comput. Vis., April, 2025

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang

IEEE Trans. Image Process., 2025

EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models.

Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts.

Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang

CoRR, 2024

An Empirical Study of Scaling Law for OCR.

Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han

CoRR, 2024

An Empirical Study of Scaling Law for Scene Text Recognition.

Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries.

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang

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

Bi-ViT: Pushing the Limit of Vision Transformer Quantization.

Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

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

2023

Category Feature Transformer for Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang

CoRR, 2023

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism.

Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings.

Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin

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

2022

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang

Trans. Mach. Learn. Res., 2022

Redistribution of Weights and Activations for AdderNet Quantization.

Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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 Workshops, 2022

2021

Greedy Network Enlarging.

Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang

CoRR, 2021

2020

Widening and Squeezing: Towards Accurate and Efficient QNNs.

Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian

CoRR, 2020

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts.

Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning Instance-wise Sparsity for Accelerating Deep Models.

Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.

Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LegoNet: Efficient Convolutional Neural Networks with Lego Filters.

Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

Proceedings of the 36th International Conference on Machine Learning, 2019

Data-Free Learning of Student Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019