Siyu Liao - RankMe

47 papers A* 14A 4Misc 6Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Block Circulant Adapter for Large Language Models. IJCAI Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang
2025	J	`jnl`	Block Circulant Adapter for Large Language Models. CoRR Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang
2025	J	`jnl`	CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices. CoRR Xuchen Feng, Siyu Liao
2025	J	`jnl`	Memory-Efficient Training with In-Place FFT Implementation. CoRR Xinyu Ding, Bangtian Liu, Siyu Liao, Zhongfeng Wang
2025	A*	`conf`	Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors. IJCAI Xinyu Ding, Lexuan Chen, Siyu Liao, Zhongfeng Wang
2025	J	`jnl`	Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors. CoRR Xinyu Ding, Lexuan Chen, Siyu Liao, Zhongfeng Wang
2025	—	`conf`	Pattern Reconfigurable Intelligent Surfaces to Enable "Circuits-in-the-air" for Wireless Radios. IEEECONF Siyu Liao, Divyanshu Pandey, Taiyun Chi, Ananthram Swami, Ashutosh Sabharwal
2023	A	`conf`	Bias Invariant Approaches for Improving Word Embedding Fairness. CIKM Siyu Liao, Rongting Zhang, Barbara Poblete, Vanessa Murdock
2023	Misc	`conf`	Capacity Gain from Multi-Mode Reconfigurable Antennas as a Function of Degrees of Control in Clustered MIMO Channels. ACSSC Siyu Liao, Taiyun Chi, Ashutosh Sabharwal
2023	—	`conf`	Unsupervised Wireless Diarization: A Potential New Attack on Encrypted Wireless Networks. ICC C. Nicolas Barati, Bishal Lamichhane, Siyu Liao, Eric Graves, Ananthram Swami, Ashutosh Sabharwal
2022	A*	`conf`	BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. AAAI Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan
2021	A	`conf`	Algorithm and Hardware Co-design for Deep Learning-powered Channel Decoder: A Case Study. ICCAD Boyang Zhang, Yang Sui, Lingyi Huang, Siyu Liao, Chunhua Deng, Bo Yuan
2021	A*	`conf`	Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. AAAI Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan
2021	J	`jnl`	Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. CoRR Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan
2021	A*	`conf`	GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator. ISCA Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan
2021	J	`jnl`	Noise Injection-based Regularization for Point Cloud Processing. CoRR Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan
2021	J	`jnl`	PermCNN: Energy-Efficient Convolutional Neural Network Hardware Architecture With Permuted Diagonal Structure. IEEE Trans. Computers Chunhua Deng, Siyu Liao, Bo Yuan
2021	A*	`conf`	Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. CVPR Miao Yin, Yang Sui, Siyu Liao, Bo Yuan
2021	J	`jnl`	Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework. CoRR Miao Yin, Yang Sui, Siyu Liao, Bo Yuan
2021	A*	`conf`	Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. CVPR Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2021	J	`jnl`	Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure. CoRR Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2020	A*	`conf`	CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. AAAI Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan
2020	J	`jnl`	Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. CoRR Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2020	A*	`conf`	Embedding Compression with Isotropic Iterative Quantization. AAAI Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
2020	J	`jnl`	Embedding Compression with Isotropic Iterative Quantization. CoRR Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
2020	Misc	`conf`	Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix. ACSSC Siyu Liao, Chunhua Deng, Yi Xie, Lingjia Liu, Bo Yuan
2020	J	`jnl`	PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. CoRR Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
2020	Misc	`conf`	VLSI Hardware Architecture for Gaussian Process. ACSSC Chunhua Deng, Yongbin Gong, Feng Han, Siyu Liao, Jingang Yi, Bo Yuan
2019	J	`jnl`	CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator. CoRR Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan
2019	A*	`conf`	CircConv: A Structured Convolution with Low Complexity. AAAI Siyu Liao, Bo Yuan
2019	J	`jnl`	CircConv: A Structured Convolution with Low Complexity. CoRR Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan
2019	Misc	`conf`	Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation. ICASSP Siyu Liao, Ashkan Samiee, Chunhua Deng, Yu Bai, Bo Yuan
2019	J	`jnl`	Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. IEEE Trans. Sustain. Comput. Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan
2019	Misc	`conf`	Reduced-complexity Deep Neural Network-aided Channel Code Decoder: A Case Study for BCH Decoder. ICASSP Chunhua Deng, Siyu Liao, Bo Yuan
2019	—	`conf`	Structured Neural Network with Low Complexity for MIMO Detection. SiPS Siyu Liao, Chunhua Deng, Lingjia Liu, Bo Yuan
2018	Misc	`conf`	Area-efficient K-Nearest Neighbor Design using Stochastic Computing. ACSSC Yi Xie, Chunhua Deng, Siyu Liao, Bo Yuan
2018	—	`conf`	Large-scale short-term urban taxi demand forecasting using deep learning. ASP-DAC Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong
2018	A*	`conf`	PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. MICRO Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
2018	A*	`conf`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2018	J	`jnl`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2017	J	`jnl`	CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR 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
2017	A*	`conf`	CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 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
2017	A	`conf`	Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan
2017	J	`jnl`	Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing. IEEE Trans. Circuits Syst. II Express Briefs Yi Xie, Siyu Liao, Bo Yuan, Yanzhi Wang, Zhongfeng Wang
2017	A*	`conf`	Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. ICML Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan
2017	J	`jnl`	Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. CoRR Liang Zhao, Siyu Liao, Yanzhi Wang, Jian Tang, Bo Yuan
2017	A	`conf`	Towards reliability-aware circuit design in nanoscale FinFET technology: - New-generation aging model and circuit reliability simulator. ICCAD Shaofeng Guo, Runsheng Wang, Zhuoqing Yu, Peng Hao, Pengpeng Ren, Yangyuan Wang, Siyu Liao, Chunyi Huang, Tianlei Guo, Alvin Chen, Jushan Xie, Ru Huang