Chuanjian Liu - RankMe

34 papers A* 13Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Associative Recurrent Bilinear Optimization for Domain-Generalized Binary Neural Networks. Int. J. Comput. Vis. Sheng Xu, Yanjing Li, Mingze Wang, Chuanjian Liu, Baochang Zhang
2025	—	`conf`	EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. NAACL (Long Papers) Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2025	A*	`conf`	Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. AAAI Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2025	J	`jnl`	Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. CoRR Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2025	A*	`conf`	Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. ICML Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang
2025	J	`jnl`	Learning Accurate Low-bit Quantization towards Efficient Computational Imaging. Int. J. Comput. Vis. Sheng Xu, Yanjing Li, Chuanjian Liu, Baochang Zhang
2025	J	`jnl`	Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models. CoRR Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang
2025	J	`jnl`	Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. IEEE Trans. Image Process. Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang
2024	A*	`conf`	AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang
2024	J	`jnl`	An Empirical Study of Scaling Law for OCR. CoRR Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
2024	A*	`conf`	An Empirical Study of Scaling Law for Scene Text Recognition. CVPR Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
2024	A*	`conf`	Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
2024	J	`jnl`	EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2024	J	`jnl`	Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. CoRR Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang
2023	J	`jnl`	Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
2023	A*	`conf`	Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
2023	J	`jnl`	Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
2023	J	`jnl`	Category Feature Transformer for Semantic Segmentation. CoRR Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
2023	A*	`conf`	Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
2023	J	`jnl`	Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
2022	J	`jnl`	GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang
2022	—	`conf`	Network Amplification with Efficient MACs Allocation. CVPR Workshops Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang
2022	A*	`conf`	Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
2022	J	`jnl`	Redistribution of Weights and Activations for AdderNet Quantization. CoRR Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
2021	J	`jnl`	Greedy Network Enlarging. CoRR Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	A*	`conf`	Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. NeurIPS Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang
2020	J	`jnl`	Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
2019	A*	`conf`	Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	J	`jnl`	Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	A*	`conf`	Data-Free Learning of Student Networks. ICCV Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
2019	J	`jnl`	Data-Free Learning of Student Networks. CoRR Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
2019	A*	`conf`	Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	J	`jnl`	Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	A*	`conf`	LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu