Siyu Liao

According to our database, Siyu Liao authored at least 33 papers between 2017 and 2023.

Collaborative distances:

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

2023

Unsupervised Wireless Diarization: A Potential New Attack on Encrypted Wireless Networks.

C. Nicolas Barati, Bishal Lamichhane, Siyu Liao, Eric Graves, Ananthram Swami, Ashutosh Sabharwal

Proceedings of the IEEE International Conference on Communications, 2023

Bias Invariant Approaches for Improving Word Embedding Fairness.

Siyu Liao, Ringting Zhang, Barbara Poblete, Vanessa Murdock

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Capacity Gain from Multi-Mode Reconfigurable Antennas as a Function of Degrees of Control in Clustered MIMO Channels.

Siyu Liao, Taiyun Chi, Ashutosh Sabharwal

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition.

Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PermCNN: Energy-Efficient Convolutional Neural Network Hardware Architecture With Permuted Diagonal Structure.

Chunhua Deng, Siyu Liao, Bo Yuan

IEEE Trans. Computers, 2021

Noise Injection-based Regularization for Point Cloud Processing.

Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan

CoRR, 2021

GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator.

Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Algorithm and Hardware Co-design for Deep Learning-powered Channel Decoder: A Case Study.

Boyang Zhang, Yang Sui, Lingyi Huang, Siyu Liao, Chunhua Deng, Bo Yuan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework.

Miao Yin, Yang Sui, Siyu Liao, Bo Yuan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure.

Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding.

Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition.

Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

CoRR, 2020

Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix.

Siyu Liao, Chunhua Deng, Yi Xie, Lingjia Liu, Bo Yuan

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

VLSI Hardware Architecture for Gaussian Process.

Chunhua Deng, Yongbin Gong, Feng Han, Siyu Liao, Jingang Yi, Bo Yuan

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator.

Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Embedding Compression with Isotropic Iterative Quantization.

Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression.

Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan

IEEE Trans. Sustain. Comput., 2019

CircConv: A Structured Convolution with Low Complexity.

Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan

CoRR, 2019

Structured Neural Network with Low Complexity for MIMO Detection.

Siyu Liao, Chunhua Deng, Lingjia Liu, Bo Yuan

Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation.

Siyu Liao, Ashkan Samiee, Chunhua Deng, Yu Bai, Bo Yuan

Proceedings of the IEEE International Conference on Acoustics, 2019

Reduced-complexity Deep Neural Network-aided Channel Code Decoder: A Case Study for BCH Decoder.

Chunhua Deng, Siyu Liao, Bo Yuan

Proceedings of the IEEE International Conference on Acoustics, 2019

CircConv: A Structured Convolution with Low Complexity.

Siyu Liao, Bo Yuan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices.

Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Large-scale short-term urban taxi demand forecasting using deep learning.

Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Area-efficient K-Nearest Neighbor Design using Stochastic Computing.

Yi Xie, Chunhua Deng, Siyu Liao, Bo Yuan

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.

Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing.

Yi Xie, Siyu Liao, Bo Yuan, Yanzhi Wang, Zhongfeng Wang

IEEE Trans. Circuits Syst. II Express Briefs, 2017

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.

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

CoRR, 2017

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.

Liang Zhao, Siyu Liao, Yanzhi Wang, Jian Tang, Bo Yuan

CoRR, 2017

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.

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

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.

Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan

Proceedings of the 34th International Conference on Machine Learning, 2017

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices.

Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Towards reliability-aware circuit design in nanoscale FinFET technology: - New-generation aging model and circuit reliability simulator.

Shaofeng Guo, Runsheng Wang, Zhuoqing Yu, Peng Hao, Pengpeng Ren, Yangyuan Wang, Siyu Liao, Chunyi Huang, Tianlei Guo, Alvin Chen, Jushan Xie, Ru Huang

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017