| 2025 | ACSSC | Pattern Reconfigurable Intelligent Surfaces to Enable "Circuits-in-the-air" for Wireless Radios. | Siyu Liao, Divyanshu Pandey, Taiyun Chi, Ananthram Swami, Ashutosh Sabharwal |
| 2025 | IJCAI | Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors. | Xinyu Ding, Lexuan Chen, Siyu Liao, Zhongfeng Wang |
| 2025 | IJCAI | Block Circulant Adapter for Large Language Models. | Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang |
| 2023 | ACSSC | Capacity Gain from Multi-Mode Reconfigurable Antennas as a Function of Degrees of Control in Clustered MIMO Channels. | Siyu Liao, Taiyun Chi, Ashutosh Sabharwal |
| 2023 | CIKM | Bias Invariant Approaches for Improving Word Embedding Fairness. | Siyu Liao, Rongting Zhang, Barbara Poblete, Vanessa Murdock |
| 2022 | AAAI | BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. | Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan |
| 2021 | AAAI | Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. | Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan |
| 2021 | CVPR | Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. | Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan |
| 2021 | CVPR | Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. | Miao Yin, Yang Sui, Siyu Liao, Bo Yuan |
| 2021 | ICCAD | 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 |
| 2021 | ISCA | GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator. | Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan |
| 2020 | AAAI | Embedding Compression with Isotropic Iterative Quantization. | Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan |
| 2020 | AAAI | 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 |
| 2020 | ACSSC | VLSI Hardware Architecture for Gaussian Process. | Chunhua Deng, Yongbin Gong, Feng Han, Siyu Liao, Jingang Yi, Bo Yuan |
| 2020 | ACSSC | Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix. | Siyu Liao, Chunhua Deng, Yi Xie, Lingjia Liu, Bo Yuan |
| 2019 | AAAI | CircConv: A Structured Convolution with Low Complexity. | Siyu Liao, Bo Yuan |
| 2019 | ICASSP | Reduced-complexity Deep Neural Network-aided Channel Code Decoder: A Case Study for BCH Decoder. | Chunhua Deng, Siyu Liao, Bo Yuan |
| 2019 | ICASSP | Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation. | Siyu Liao, Ashkan Samiee, Chunhua Deng, Yu Bai, Bo Yuan |
| 2018 | AAAI | 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 |
| 2018 | ACSSC | Area-efficient K-Nearest Neighbor Design using Stochastic Computing. | Yi Xie, Chunhua Deng, Siyu Liao, Bo Yuan |
| 2018 | ASPDAC | Large-scale short-term urban taxi demand forecasting using deep learning. | Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong |
| 2018 | MICRO | PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. | Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan |
| 2017 | ICCAD | 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 |
| 2017 | ICCAD | 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 |
| 2017 | ICML | Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. | Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan |
| 2017 | MICRO | 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 |