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 001 (ICCAD, 2017)

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. - Siyu Liao; Zhe Li 001; Xue Lin 001; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCAD, 2017)

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. - Liang Zhao 002; Siyu Liao; Yanzhi Wang; Zhe Li 001; Jian Tang 008; Bo Yuan 001 (ICML, 2017)

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (MICRO, 2017)

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. - Liang Zhao 002; Siyu Liao; Yanzhi Wang; Jian Tang 008; Bo Yuan 001 (CoRR, 2017)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (CoRR, 2017)

Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing. - Yi Xie 001; Siyu Liao; Bo Yuan 001; Yanzhi Wang; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Yanzhi Wang; Caiwen Ding; Zhe Li 001; Geng Yuan; Siyu Liao; Xiaolong Ma; Bo Yuan 001; Xuehai Qian; Jian Tang 008; Qinru Qiu; Xue Lin 001 (AAAI, 2018)

Area-efficient K-Nearest Neighbor Design using Stochastic Computing. - Yi Xie 001; Chunhua Deng; Siyu Liao; Bo Yuan 001 (ACSSC, 2018)

Large-scale short-term urban taxi demand forecasting using deep learning. - Siyu Liao; Liutong Zhou; Xuan Di; Bo Yuan 001; Jinjun Xiong (ASP-DAC, 2018)

PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. - Chunhua Deng; Siyu Liao; Yi Xie 001; Keshab K. Parhi; Xuehai Qian; Bo Yuan 001 (MICRO, 2018)

CircConv: A Structured Convolution with Low Complexity. - Siyu Liao; Bo Yuan 001 (AAAI, 2019)

Reduced-complexity Deep Neural Network-aided Channel Code Decoder: A Case Study for BCH Decoder. - Chunhua Deng; Siyu Liao; Bo Yuan 001 (ICASSP, 2019)

Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation. - Siyu Liao; Ashkan Samiee; Chunhua Deng; Yu Bai 004; Bo Yuan 001 (ICASSP, 2019)

Structured Neural Network with Low Complexity for MIMO Detection. - Siyu Liao; Chunhua Deng; Lingjia Liu 001; Bo Yuan 001 (SiPS, 2019)

CircConv: A Structured Convolution with Low Complexity. - Siyu Liao; Zhe Li 001; Liang Zhao 002; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (CoRR, 2019)

Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. - Siyu Liao; Yi Xie 001; Xue Lin 001; Yanzhi Wang; Min Zhang 005; Bo Yuan 001 (IEEE Trans. Sustain. Comput., 2019)

Embedding Compression with Isotropic Iterative Quantization. - Siyu Liao; Jie Chen 007; Yanzhi Wang; Qinru Qiu; Bo Yuan 001 (AAAI, 2020)

CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. - Huy Phan; Yi Xie 001; Siyu Liao; Jie Chen 007; Bo Yuan 001 (AAAI, 2020)

VLSI Hardware Architecture for Gaussian Process. - Chunhua Deng; Yongbin Gong; Feng Han; Siyu Liao; Jingang Yi; Bo Yuan 001 (ACSSC, 2020)

Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix. - Siyu Liao; Chunhua Deng; Yi Xie 001; Lingjia Liu 001; Bo Yuan 001 (ACSSC, 2020)

Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. - Miao Yin; Siyu Liao; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (CoRR, 2020)

Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. - Siyu Liao; Chunhua Deng; Miao Yin; Bo Yuan 001 (AAAI, 2021)

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. - Miao Yin; Siyu Liao; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (CVPR, 2021)

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. - Miao Yin; Yang Sui; Siyu Liao; Bo Yuan 001 (CVPR, 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 001 (ICCAD, 2021)

GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator. - Chunhua Deng; Yang Sui; Siyu Liao; Xuehai Qian; Bo Yuan 001 (ISCA, 2021)

Noise Injection-based Regularization for Point Cloud Processing. - Xiao Zang; Yi Xie 001; Siyu Liao; Jie Chen 007; Bo Yuan 001 (CoRR, 2021)

PermCNN: Energy-Efficient Convolutional Neural Network Hardware Architecture With Permuted Diagonal Structure. - Chunhua Deng; Siyu Liao; Bo Yuan 001 (IEEE Trans. Computers, 2021)

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. - Miao Yin; Huy Phan; Xiao Zang; Siyu Liao; Bo Yuan 001 (AAAI, 2022)

Capacity Gain from Multi-Mode Reconfigurable Antennas as a Function of Degrees of Control in Clustered MIMO Channels. - Siyu Liao; Taiyun Chi; Ashutosh Sabharwal (ACSSC, 2023)

Bias Invariant Approaches for Improving Word Embedding Fairness. - Siyu Liao; Ringting Zhang; Barbara Poblete; Vanessa Murdock 001 (CIKM, 2023)

Unsupervised Wireless Diarization: A Potential New Attack on Encrypted Wireless Networks. - C. Nicolas Barati; Bishal Lamichhane; Siyu Liao; Eric Graves 001; Ananthram Swami; Ashutosh Sabharwal (ICC, 2023)

Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors. - Xinyu Ding; Lexuan Chen; Siyu Liao; Zhongfeng Wang (CoRR, 2025)

Block Circulant Adapter for Large Language Models. - Xinyu Ding; Meiqi Wang; Siyu Liao; Zhongfeng Wang 001 (CoRR, 2025)