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Journal Articles
- 2022
[j1]Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2024
- [c12]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI 2024: 3243-3251 - [c11]Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang:
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI 2024: 15598-15606 - [c10]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for Scene Text Recognition. CVPR 2024: 15619-15629 - 2023
- [c9]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV 2023: 821-831 - [c8]Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han:
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS 2023 - 2022
- [c7]Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang:
Network Amplification with Efficient MACs Allocation. CVPR Workshops 2022: 1932-1941 - [c6]Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS 2022 - 2020
- [c5]Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang:
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. NeurIPS 2020 - 2019
- [c4]Hanting Chen, Yunhe Wang, Chang Xu
, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. ICCV 2019: 3513-3521 - [c3]Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML 2019: 7005-7014 - [c2]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI 2019: 2456-2462 - [c1]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI 2019: 3001-3007
Informal and Other Publications
- 2024
- [i12]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. CoRR abs/2401.00028 (2024) - [i11]Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR abs/2405.07542 (2024) - 2023
- [i10]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR abs/2305.12354 (2023) - [i9]Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang:
Category Feature Transformer for Semantic Segmentation. CoRR abs/2308.05581 (2023) - [i8]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR abs/2308.12894 (2023) - [i7]Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang:
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR abs/2309.11331 (2023) - 2022
- [i6]Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. CoRR abs/2212.10200 (2022) - 2021
- [i5]Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. CoRR abs/2108.00177 (2021) - 2020
- [i4]Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian:
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR abs/2002.00555 (2020) - 2019
- [i3]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. CoRR abs/1904.01186 (2019) - [i2]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR abs/1907.11837 (2019) - [i1]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR abs/1907.11840 (2019)
Coauthor Index
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