default search action
Siyu Liao
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [c25]Siyu Liao, Taiyun Chi, Ashutosh Sabharwal:
Capacity Gain from Multi-Mode Reconfigurable Antennas as a Function of Degrees of Control in Clustered MIMO Channels. ACSSC 2023: 514-521 - [c24]Siyu Liao, Ringting Zhang, Barbara Poblete, Vanessa Murdock:
Bias Invariant Approaches for Improving Word Embedding Fairness. CIKM 2023: 1400-1410 - [c23]C. Nicolas Barati, Bishal Lamichhane, Siyu Liao, Eric Graves, Ananthram Swami, Ashutosh Sabharwal:
Unsupervised Wireless Diarization: A Potential New Attack on Encrypted Wireless Networks. ICC 2023: 2312-2318 - 2022
- [c22]Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan:
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. AAAI 2022: 8874-8882 - 2021
- [j3]Chunhua Deng, Siyu Liao, Bo Yuan:
PermCNN: Energy-Efficient Convolutional Neural Network Hardware Architecture With Permuted Diagonal Structure. IEEE Trans. Computers 70(2): 163-173 (2021) - [c21]Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. AAAI 2021: 8574-8582 - [c20]Miao Yin, Yang Sui, Siyu Liao, Bo Yuan:
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. CVPR 2021: 10674-10683 - [c19]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. CVPR 2021: 12085-12094 - [c18]Boyang Zhang, Yang Sui, Lingyi Huang, Siyu Liao, Chunhua Deng, Bo Yuan:
Algorithm and Hardware Co-design for Deep Learning-powered Channel Decoder: A Case Study. ICCAD 2021: 1-6 - [c17]Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan:
GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator. ISCA 2021: 1110-1123 - [i12]Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. CoRR abs/2102.03959 (2021) - [i11]Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
Noise Injection-based Regularization for Point Cloud Processing. CoRR abs/2103.15027 (2021) - [i10]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure. CoRR abs/2104.05758 (2021) - [i9]Miao Yin, Yang Sui, Siyu Liao, Bo Yuan:
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework. CoRR abs/2107.12422 (2021) - 2020
- [c16]Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. AAAI 2020: 5412-5419 - [c15]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. AAAI 2020: 8336-8343 - [c14]Siyu Liao, Chunhua Deng, Yi Xie, Lingjia Liu, Bo Yuan:
Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix. ACSSC 2020: 111-115 - [c13]Chunhua Deng, Yongbin Gong, Feng Han, Siyu Liao, Jingang Yi, Bo Yuan:
VLSI Hardware Architecture for Gaussian Process. ACSSC 2020: 121-124 - [i8]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. CoRR abs/2001.05314 (2020) - [i7]Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan:
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. CoRR abs/2004.10936 (2020) - [i6]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. CoRR abs/2005.04366 (2020)
2010 – 2019
- 2019
- [j2]Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan:
Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. IEEE Trans. Sustain. Comput. 4(2): 245-251 (2019) - [c12]Siyu Liao, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. AAAI 2019: 4287-4294 - [c11]Siyu Liao, Ashkan Samiee, Chunhua Deng, Yu Bai, Bo Yuan:
Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation. ICASSP 2019: 1443-1447 - [c10]Chunhua Deng, Siyu Liao, Bo Yuan:
Reduced-complexity Deep Neural Network-aided Channel Code Decoder: A Case Study for BCH Decoder. ICASSP 2019: 1468-1472 - [c9]Siyu Liao, Chunhua Deng, Lingjia Liu, Bo Yuan:
Structured Neural Network with Low Complexity for MIMO Detection. SiPS 2019: 290-295 - [i5]Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. CoRR abs/1902.11268 (2019) - [i4]Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator. CoRR abs/1912.07742 (2019) - 2018
- [c8]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI 2018: 4235-4243 - [c7]Yi Xie, Chunhua Deng, Siyu Liao, Bo Yuan:
Area-efficient K-Nearest Neighbor Design using Stochastic Computing. ACSSC 2018: 782-786 - [c6]Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong:
Large-scale short-term urban taxi demand forecasting using deep learning. ASP-DAC 2018: 428-433 - [c5]Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan:
PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. MICRO 2018: 189-202 - [i3]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR abs/1802.06402 (2018) - 2017
- [j1]Yi Xie, Siyu Liao, Bo Yuan, Yanzhi Wang, Zhongfeng Wang:
Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing. IEEE Trans. Circuits Syst. II Express Briefs 64-II(12): 1382-1386 (2017) - [c4]Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan:
Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD 2017: 458-465 - [c3]Shaofeng Guo, Runsheng Wang, Zhuoqing Yu, Peng Hao, Pengpeng Ren, Yangyuan Wang, Siyu Liao, Chunyi Huang, Tianlei Guo, Alvin Chen, Jushan Xie, Ru Huang:
Towards reliability-aware circuit design in nanoscale FinFET technology: - New-generation aging model and circuit reliability simulator. ICCAD 2017: 780-785 - [c2]Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan:
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. ICML 2017: 4082-4090 - [c1]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 2017: 395-408 - [i2]Liang Zhao, Siyu Liao, Yanzhi Wang, Jian Tang, Bo Yuan:
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. CoRR abs/1703.00144 (2017) - [i1]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR abs/1708.08917 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint