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2020 – today
- 2025
[j7]Qiong Wang, Wei He, Shang Yang, Ruoyu Zhao, Yinglong Ma:
Accelerating complex graph queries by summary-based hybrid partitioning for discovering vulnerabilities of distribution equipment. Future Gener. Comput. Syst. 167: 107747 (2025)- [i12]Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han:
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. CoRR abs/2502.14866 (2025) - 2024
- [j6]Axita, Zhaojun Yang, Chuanhai Chen, Jinyan Guo, Shang Yang:
Reliability allocation method based on minimizing implementation risk. Expert Syst. Appl. 255: 124746 (2024) - [j5]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Guangxuan Xiao, Song Han:
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. GetMobile Mob. Comput. Commun. 28(4): 12-17 (2024) - [c15]Axel Jantsch, Song Han, Lin Meng, Oliver Bringmann, Haotian Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner:
Special Session: Estimation and Optimization of DNNs for Embedded Platforms. CODES+ISSS 2024: 21-30 - [c14]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. ECCV (67) 2024: 108-127 - [c13]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han:
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. MLSys 2024 - [i11]Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han:
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. CoRR abs/2405.04532 (2024) - [i10]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR abs/2407.19014 (2024) - [i9]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - [i8]Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Yao Lu, Song Han:
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. CoRR abs/2410.10733 (2024) - [i7]Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han:
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. CoRR abs/2410.10812 (2024) - [i6]Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han:
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. CoRR abs/2410.10819 (2024) - [i5]Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu:
NVILA: Efficient Frontier Visual Language Models. CoRR abs/2412.04468 (2024) - 2023
- [c12]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c11]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CVPR 2023: 1200-1211 - [c10]Tianyu Fu
, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang:
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE 2023: 1-6 - [c9]Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang:
K-Fold Cross-Valuation for Machine Learning Using Shapley Value. ICANN (3) 2023: 50-61 - [c8]Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang:
Hierarchical Vision and Language Transformer for Efficient Visual Dialog. ICANN (6) 2023: 421-432 - [c7]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO 2023: 225-239 - [c6]Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang:
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys 2023 - [i4]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CoRR abs/2301.08739 (2023) - [i3]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han:
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. CoRR abs/2306.00978 (2023) - [i2]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR abs/2311.12862 (2023) - 2022
- [c5]Aiyan Wu, Yongmei Zhang, Shang Yang:
A Method for Scientific Cultivation Analysis Based on Knowledge Graphs. CECNet 2022: 40-47 - [c4]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC 2022: 595-600 - [i1]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR abs/2202.08556 (2022) - 2021
- [j4]Hao Zheng, Shang Yang, Shanhe Lou, Yicong Gao, Yixiong Feng:
Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing. Adv. Eng. Informatics 48: 101258 (2021) - [j3]Shang Yang, Zhipeng Yang, Xiaona Chen, Jingpeng Zhao, Yinglong Ma:
Distributed aggregation-based attributed graph summarization for summary-based approximate attributed graph queries. Expert Syst. Appl. 176: 114921 (2021) - [c3]Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang:
Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing. WASA (3) 2021: 99-107 - [c2]Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang:
Equitable Valuation of Crowdsensing for Machine Learning via Game Theory. WASA (3) 2021: 133-141
2010 – 2019
- 2014
- [j2]Esther M. Arkin, Claudia Dieckmann, Christian Knauer, Joseph S. B. Mitchell, Valentin Polishchuk, Lena Schlipf, Shang Yang:
Convex transversals. Comput. Geom. 47(2): 224-239 (2014) - 2012
- [j1]Joondong Kim, Joseph S. B. Mitchell, Valentin Polishchuk, Shang Yang, Jingyu Zou:
Routing multi-class traffic flows in the plane. Comput. Geom. 45(3): 99-114 (2012) - 2011
- [c1]Esther M. Arkin, Claudia Dieckmann, Christian Knauer, Joseph S. B. Mitchell, Valentin Polishchuk, Lena Schlipf, Shang Yang:
Convex Transversals. WADS 2011: 49-60
Coauthor Index
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