Xiaoyao Liang - RankMe

154 papers A* 37A 25B 4C 15Journal 48Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection. ASPLOS (1) Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song
2026	J	`jnl`	DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs. CoRR Zeyu Zhu, Gang Li, Peisong Wang, Zitao Mo, Minnan Pei, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	J	`jnl`	AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection. CoRR Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song
2025	J	`jnl`	An Efficient Bit-Sparse DNN Accelerator Exploiting Adaptive Bit-Serial Computations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiayao Ling, Gang Li, Xiaolong Lin, Cheng Gu, Xing Li, Jian Cheng, Xiaoyao Liang
2025	J	`jnl`	Attack and Defense: Enhancing Robustness of Binary Hyper-Dimensional Computing. ACM Trans. Archit. Code Optim. Haomin Li, Fangxin Liu, Zongwu Wang, Ning Yang, Shiyuan Huang, Xiaoyao Liang, Haibing Guan, Li Jiang
2025	A	`conf`	BMP-SD: Marrying Binary and Mixed-Precision Quantization for Efficient Stable Diffusion Inference. DATE Cheng Gu, Gang Li, Xiaolong Lin, Jiayao Ling, Jian Cheng, Xiaoyao Liang
2025	A*	`conf`	GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. MICRO Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	J	`jnl`	GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. CoRR Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	J	`jnl`	GCNTrain+: A Versatile and Efficient Accelerator for Graph Convolutional Neural Network Training. ACM Trans. Archit. Code Optim. Zhuoran Song, Jiabei Long, Li Jiang, Naifeng Jing, Xiaoyao Liang
2025	A	`conf`	GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity. IPDPS Ruiyang Chen, Xing Li, Xiaoyao Liang, Zhuoran Song
2025	A*	`conf`	GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support. HPCA Houshu He, Gang Li, Fangxin Liu, Li Jiang, Xiaoyao Liang, Zhuoran Song
2025	A*	`conf`	HEAT: NPU-NDP HEterogeneous Architecture for Transformer-Empowered Graph Neural Networks. MICRO Ruiyang Chen, Zhuoran Song, Yicheng Zheng, Zeyu Zhu, Gang Li, Naifeng Jing, Xiaoyao Liang, Haibing Guan
2025	—	`conf`	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers. Euro-Par (2) Cheng Gu, Gang Li, Xuan Zhang, Jiayao Ling, Xiaolong Lin, Zhuoran Song, Jian Cheng, Xiaoyao Liang
2025	A*	`conf`	MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization. DAC Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song
2025	J	`jnl`	RTSA: A Run-Through Sparse Attention Framework for Video Transformer. IEEE Trans. Computers Xuhang Wang, Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Li Jiang, Xiaoyao Liang
2025	A*	`conf`	SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity. DAC Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, Zhuoran Song
2025	A	`conf`	SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization. DATE Jiayao Ling, Gang Li, Qinghao Hu, Xiaolong Lin, Cheng Gu, Jian Cheng, Xiaoyao Liang
2025	—	`conf`	STAMP: Accelerating Second-Order DNN Training Via ReRAM-Based Processing-in-Memory Architecture. APPT Yilong Zhao, Fangxin Liu, Mingyu Gao, Xiaoyao Liang, Qidong Tang, Chengyang Gu, Tao Yang, Naifeng Jing, Li Jiang
2025	J	`jnl`	Scene-Adaptive Motion Planning with Explicit Mixture of Experts and Interaction-Oriented Optimization. CoRR Hongbiao Zhu, Liulong Ma, Xian Wu, Xin Deng, Xiaoyao Liang
2025	A*	`conf`	SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU. DAC Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song
2025	J	`jnl`	Vision Transformer Acceleration via a Versatile Attention Optimization Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xuhang Wang, Qiyue Huang, Xing Li, Haozhe Jiang, Qiang Xu, Xiaoyao Liang, Zhuoran Song
2024	—	`conf`	CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing. ASPLOS (2) Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
2024	J	`jnl`	ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity. IEEE Trans. Computers Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
2024	C	`conf`	Early: An Importance-Aware Early Firing and Exit for SNN Acceleration. ICCD Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2024	J	`jnl`	Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies. ACM Trans. Archit. Code Optim. Zhuoran Song, Zhongkai Yu, Xinkai Song, Yifan Hao, Li Jiang, Naifeng Jing, Xiaoyao Liang
2024	J	`jnl`	Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration. IEEE Trans. Parallel Distributed Syst. Fangxin Liu, Zongwu Wang, Wenbo Zhao, Ning Yang, Yongbiao Chen, Shiyuan Huang, Haomin Li, Tao Yang, Songwen Pei, Xiaoyao Liang, Li Jiang
2024	—	`conf`	FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. ASPLOS (4) Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024	J	`jnl`	FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. CoRR Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024	A	`conf`	FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang
2024	C	`conf`	GNeRF: Accelerating Neural Radiance Fields Inference via Adaptive Sample Gating. ISCAS Cheng Gu, Gang Li, Xiaolong Lin, Jiayao Ling, Xiaoyao Liang
2024	A*	`conf`	InterArch: Video Transformer Acceleration via Inter-Feature Deduplication with Cube-based Dataflow. DAC Xuhang Wang, Zhuoran Song, Xiaoyao Liang
2024	J	`jnl`	Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang
2024	A*	`conf`	MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
2024	A*	`conf`	MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks. DAC Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, Xiaoyao Liang
2024	A*	`conf`	SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering. MICRO Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang
2024	A	`conf`	Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. DATE Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang
2024	A*	`conf`	TSAcc: An Efficient \underline{T}empo-\underline{S}patial Similarity Aware \underline{Acc}elerator for Attention Acceleration. DAC Zhuoran Song, Chunyu Qi, Yuanzheng Yao, Peng Zhou, Yanyi Zi, Nan Wang, Xiaoyao Liang
2024	A*	`conf`	UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space. ISCA Yilong Zhao, Mingyu Gao, Fangxin Liu, Yiwei Hu, Zongwu Wang, Han Lin, Jin Li, He Xian, Hanlin Dong, Tao Yang, Naifeng Jing, Xiaoyao Liang, Li Jiang
2024	J	`jnl`	VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations. IEEE Trans. Computers Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He
2024	—	`conf`	Watt: A Write-Optimized RRAM-Based Accelerator for Attention. Euro-Par (2) Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang
2023	A*	`conf`	$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
2023	J	`jnl`	A CoRR Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
2023	J	`jnl`	A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke
2023	J	`jnl`	A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information. IEEE Trans. Parallel Distributed Syst. Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
2023	A*	`conf`	AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. DAC Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023	J	`jnl`	ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen
2023	C	`conf`	DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture. ICCD Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang
2023	J	`jnl`	E ACM Trans. Design Autom. Electr. Syst. Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023	C	`conf`	HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023	J	`jnl`	MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
2023	—	`conf`	PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. ACM TUR-C Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023	A	`conf`	PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023	J	`jnl`	Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhuoran Song, Heng Lu, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023	C	`conf`	RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators. ICCD Xuhang Wang, Zhuoran Song, Xiaoyao Liang
2023	J	`jnl`	SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
2023	C	`conf`	ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition. ICCD Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang
2022	J	`jnl`	BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. CoRR Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
2022	J	`jnl`	CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. CoRR Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2022	J	`jnl`	DNN Training Acceleration via Exploring GPGPU Friendly Sparsity. CoRR Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022	A*	`conf`	E DAC Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang
2022	A*	`conf`	EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022	C	`conf`	GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training. ICCD Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang
2022	A	`conf`	Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. ICCAD Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2022	J	`jnl`	Integrated Power Anomaly Defense: Towards Oversubscription-Safe Data Centers. IEEE Trans. Cloud Comput. Xiaofeng Hou, Chao Li, Jinghang Yang, Wenli Zheng, Xiaoyao Liang, Minyi Guo
2022	A	`conf`	N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. FPGA Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
2022	J	`jnl`	RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN. CoRR Yilong Zhao, Li Jiang, Mingyu Gao, Naifeng Jing, Chengyang Gu, Qidong Tang, Fangxin Liu, Tao Yang, Xiaoyao Liang
2022	A*	`conf`	Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang
2021	A*	`conf`	BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. DAC Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
2021	—	`conf`	Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen
2021	—	`conf`	Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support. ACM Great Lakes Symposium on VLSI Chen Nie, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, Zhezhi He
2021	J	`jnl`	ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhuoran Song, Yanan Sun, Lerong Chen, Tianjian Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
2021	A*	`conf`	Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
2021	—	`conf`	Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Digital Pathology Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
2021	J	`jnl`	N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. CoRR Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
2021	A*	`conf`	PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. DAC Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang
2021	—	`conf`	PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
2021	—	`conf`	Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication. ACM Great Lakes Symposium on VLSI Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2021	C	`conf`	ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. ISCAS Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
2021	C	`conf`	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. ICCD Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
2021	J	`jnl`	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. CoRR Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2020	B	`conf`	A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
2020	—	`conf`	A Prediction Model of Microsatellite Status from Histology Images. ICBET Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
2020	A*	`conf`	DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. ISCA Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang
2020	—	`conf`	ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory. ACM Great Lakes Symposium on VLSI Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang, Li Jiang
2020	—	`conf`	FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang
2020	B	`conf`	Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
2020	A*	`conf`	GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
2020	—	`conf`	Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen
2020	A*	`conf`	PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
2020	—	`conf`	PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration. HPCC/DSS/SmartCity Zhaoming Jiang, Zhuoran Song, Xiaoyao Liang, Naifeng Jing
2020	A*	`conf`	VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
2019	—	`conf`	A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
2019	A	`conf`	Approximate Random Dropout for DNN training acceleration in GPGPU. DATE Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
2019	J	`jnl`	Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
2019	—	`conf`	HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang
2019	—	`conf`	Selective Detection and Segmentation of Cervical Cells. ICBBT Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang
2019	A*	`conf`	System-level hardware failure prediction using deep learning. DAC Xiaoyi Sun, Krishnendu Chakrabarty, Ruirui Huang, Yiquan Chen, Bing Zhao, Hai Cao, Yinhe Han, Xiaoyao Liang, Li Jiang
2018	A	`conf`	A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only). FPGA Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, Li Jiang
2018	J	`jnl`	AXNet: ApproXimate computing using an end-to-end trainable neural network. CoRR Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
2018	A	`conf`	AXNet: approximate computing using an end-to-end trainable neural network. ICCAD Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
2018	J	`jnl`	Approximate Random Dropout. CoRR Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
2018	J	`jnl`	CNFET-Based High Throughput SIMD Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Li Jiang, Tianjian Li, Naifeng Jing, Nam Sung Kim, Minyi Guo, Xiaoyao Liang
2018	J	`jnl`	IBOM: An Integrated and Balanced On-Chip Memory for High Performance GPGPUs. IEEE Trans. Parallel Distributed Syst. Jianfei Wang, Qin Wang, Li Jiang, Chao Li, Xiaoyao Liang, Naifeng Jing
2018	A	`conf`	In-growth test for monolithic 3D integrated SRAM. DATE Pu Pang, Yixun Zhang, Tianjian Li, Sung Kyu Lim, Quan Chen, Xiaoyao Liang, Li Jiang
2018	J	`jnl`	Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. CoRR Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
2018	A	`conf`	Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. ICCAD Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
2017	J	`jnl`	A Hint Frequency Based Approach to Enhancing the I/O Performance of Multilevel Cache Storage Systems. J. Comput. Sci. Technol. Xiaodong Meng, Chentao Wu, Minyi Guo, Jie Li, Xiaoyao Liang, Bin Yao, Long Zheng
2017	A	`conf`	Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar. DATE Lerong Chen, Jiawen Li, Yiran Chen, Qiuping Deng, Jiyuan Shen, Xiaoyao Liang, Li Jiang
2017	J	`jnl`	Bank Stealing for a Compact and Efficient Register File Architecture in GPGPU. IEEE Trans. Very Large Scale Integr. Syst. Naifeng Jing, Shunning Jiang, Shuang Chen, Jingjie Zhang, Li Jiang, Chao Li, Xiaoyao Liang
2017	A	`conf`	Fault clustering technique for 3D memory BISR. DATE Tianjian Li, Yan Han, Xiaoyao Liang, Hsien-Hsin S. Lee, Li Jiang
2017	J	`jnl`	Incorporating selective victim cache into GPGPU for high-performance computing. Concurr. Comput. Pract. Exp. Jianfei Wang, Fengfeng Fan, Li Jiang, Xiaoyao Liang, Naifeng Jing
2017	A*	`conf`	On Quality Trade-off Control for Approximate Computing Using Iterative Training. DAC Chengwen Xu, Xiangyu Wu, Wenqi Yin, Qiang Xu, Naifeng Jing, Xiaoyao Liang, Li Jiang
2017	A*	`conf`	Sneak-Path Based Test and Diagnosis for 1R RRAM Crossbar Using Voltage Bias Technique. DAC Tianjian Li, Xiangyu Bi, Naifeng Jing, Xiaoyao Liang, Li Jiang
2016	J	`jnl`	A Learning Algorithm for Bayesian Networks and Its Efficient Implementation on GPUs. IEEE Trans. Parallel Distributed Syst. Yu Wang, Weikang Qian, Shuchang Zhang, Xiaoyao Liang, Bo Yuan
2016	J	`jnl`	A Novel Test Method for Metallic CNTs in CNFET-Based SRAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tianjian Li, Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
2016	C	`conf`	Applying Victim Cache in High Performance GPGPU Computing. ISPDC Fengfeng Fan, Jianfei Wang, Li Jiang, Xiaoyao Liang, Naifeng Jing
2016	C	`conf`	CNFET-based high throughput register file architecture. ICCD Tianjian Li, Li Jiang, Naifeng Jing, Nam Sung Kim, Xiaoyao Liang
2016	A*	`conf`	Cache-emulated register file: An integrated on-chip memory architecture for high performance GPGPUs. MICRO Naifeng Jing, Jianfei Wang, Fengfeng Fan, Wenkang Yu, Li Jiang, Chao Li, Xiaoyao Liang
2016	A	`conf`	Defect tolerance for CNFET-based SRAMs. ITC Tianjian Li, Li Jiang, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty
2016	J	`jnl`	Energy-Efficient eDRAM-Based On-Chip Storage Architecture for GPGPUs. IEEE Trans. Computers Naifeng Jing, Li Jiang, Tao Zhang, Chao Li, Fengfeng Fan, Xiaoyao Liang
2016	A*	`conf`	Power Attack Defense: Securing Battery-Backed Data Centers. ISCA Chao Li, Zhenhua Wang, Xiaofeng Hou, Haopeng Chen, Xiaoyao Liang, Minyi Guo
2015	C	`conf`	A novel TSV probing technique with adhesive test interposer. ICCD Li Jiang, Xiangwei Huang, Hongfeng Xie, Qiang Xu, Chao Li, Xiaoyao Liang, Huiyun Li
2015	A	`conf`	Bank stealing for conflict mitigation in GPGPU Register File. ISLPED Naifeng Jing, Shuang Chen, Shunning Jiang, Li Jiang, Chao Li, Xiaoyao Liang
2015	J	`jnl`	Buddy SM: Sharing Pipeline Front-End for Improved Energy Efficiency in GPGPUs. ACM Trans. Archit. Code Optim. Tao Zhang, Naifeng Jing, Kaiming Jiang, Wei Shu, Min-You Wu, Xiaoyao Liang
2015	A	`conf`	Building Fuel Powered Supercomputing Data Center at Low Cost. ICS Yiqing Hua, Chao Li, Weichao Tang, Li Jiang, Xiaoyao Liang
2015	A	`conf`	CGSharing: Efficient content sharing in GPU-based cloud gaming. ISLPED Xiangyu Wu, Yuanfang Xia, Naifeng Jing, Xiaoyao Liang
2015	J	`jnl`	Efficient graph computation on hybrid CPU and GPU systems. J. Supercomput. Tao Zhang, Jingjie Zhang, Wei Shu, Min-You Wu, Xiaoyao Liang
2015	B	`conf`	Exploring Hardware Profile-Guided Green Datacenter Scheduling. ICPP Weichao Tang, Yu Wang, Haopeng Liu, Tao Zhang, Chao Li, Xiaoyao Liang
2015	A*	`conf`	Jump test for metallic CNTs in CNFET-based SRAM. DAC Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
2015	A	`conf`	On diagnosable and tunable 3D clock network design for lifetime reliability enhancement. ITC Li Jiang, Pu Pang, Naifeng Jing, Sung Kyu Lim, Xiaoyao Liang, Qiang Xu
2015	—	`conf`	On microarchitectural modeling for CNFET-based circuits. SoCC Tianjian Li, Hao Chen, Weikang Qian, Xiaoyao Liang, Li Jiang
2015	—	`conf`	Timing-driven placement for carbon nanotube circuits. SoCC Chen Wang, Li Jiang, Shiyan Hu, Tianjian Li, Xiaoyao Liang, Naifeng Jing, Weikang Qian
2015	A*	`conf`	Towards sustainable in-situ server systems in the big data era. ISCA Chao Li, Yang Hu, Longjun Liu, Juncheng Gu, Mingcong Song, Xiaoyao Liang, Jingling Yuan, Tao Li
2014	C	`conf`	Dynamic front-end sharing in graphics processing units. ICCD Tao Zhang, Xiaoyao Liang
2014	B	`conf`	HFA: A Hint Frequency-based approach to enhance the I/O performance of multi-level cache storage systems. ICPADS Xiaodong Meng, Chentao Wu, Jie Li, Xiaoyao Liang, Bin Yao, Minyi Guo, Long Zheng
2013	A*	`conf`	An energy-efficient and scalable eDRAM-based register file architecture for GPGPU. ISCA Naifeng Jing, Yao Shen, Yao Lu, Shrikanth Ganapathy, Zhigang Mao, Minyi Guo, Ramon Canal, Xiaoyao Liang
2013	A	`conf`	Compiler assisted dynamic register file in GPGPU. ISLPED Naifeng Jing, Haopeng Liu, Yao Lu, Xiaoyao Liang
2012	A*	`conf`	AgileRegulator: A hybrid voltage regulator scheme redeeming dark silicon for power efficiency in a multicore architecture. HPCA Guihai Yan, Yingmin Li, Yinhe Han, Xiaowei Li, Minyi Guo, Xiaoyao Liang
2011	J	`jnl`	MicroFix: Using timing interpolation and delay sensors for power reduction. ACM Trans. Design Autom. Electr. Syst. Guihai Yan, Yinhe Han, Hui Liu, Xiaoyao Liang, Xiaowei Li
2010	A*	`conf`	Leveraging the core-level complementary effects of PVT variations to reduce timing emergencies in multi-core processors. ISCA Guihai Yan, Xiaoyao Liang, Yinhe Han, Xiaowei Li
2009	C	`conf`	Design and test strategies for microarchitectural post-fabrication tuning. ICCD Xiaoyao Liang, Benjamin C. Lee, Gu-Yeon Wei, David M. Brooks
2009	C	`conf`	Empirical performance models for 3T1D memories. ICCD Kristen Lovin, Benjamin C. Lee, Xiaoyao Liang, David M. Brooks, Gu-Yeon Wei
2009	A	`conf`	MicroFix: exploiting path-grained timing adaptability for improving power-performance efficiency. ISLPED Guihai Yan, Yinhe Han, Hui Liu, Xiaoyao Liang, Xiaowei Li
2009	J	`jnl`	Revival: A Variation-Tolerant Architecture Using Voltage Interpolation and Variable Latency. IEEE Micro Xiaoyao Liang, Gu-Yeon Wei, David M. Brooks
2008	—	`conf`	A Process-Variation-Tolerant Floating-Point Unit with Voltage Interpolation and Variable Latency. ISSCC Xiaoyao Liang, David M. Brooks, Gu-Yeon Wei
2008	A	`conf`	Instruction-driven clock scheduling with glitch mitigation. ISLPED Gu-Yeon Wei, David M. Brooks, Ali Durlov Khan, Xiaoyao Liang
2008	A*	`conf`	ReVIVaL: A Variation-Tolerant Architecture Using Voltage Interpolation and Variable Latency. ISCA Xiaoyao Liang, Gu-Yeon Wei, David M. Brooks
2008	J	`jnl`	Replacing 6T SRAMs with 3T1D DRAMs in the L1 Data Cache to Combat Process Variability. IEEE Micro Xiaoyao Liang, Ramon Canal, Gu-Yeon Wei, David M. Brooks
2007	A	`conf`	Architectural power models for SRAM and CAM structures based on hybrid analytical/empirical techniques. ICCAD Xiaoyao Liang, Kerem Turgay, David M. Brooks
2007	A*	`conf`	Process Variation Tolerant 3T1D-Based Cache Architectures. MICRO Xiaoyao Liang, Ramon Canal, Gu-Yeon Wei, David M. Brooks
2006	A	`conf`	Microarchitecture parameter selection to optimize system performance under process variation. ICCAD Xiaoyao Liang, David M. Brooks
2006	A*	`conf`	Mitigating the Impact of Process Variations on Processor Register Files and Execution Units. MICRO Xiaoyao Liang, David M. Brooks
2005	—	`conf`	Dynamic coarse grain dataflow reconfiguration technique for real-time systems design. ISCAS (4) Xiaoyao Liang, Akshay Athalye, Sangjin Hong
2005	—	`conf`	Equalizing data-path for processing speed determination in block level pipelining. ISCAS (2) Xiaoyao Liang, Akshay Athalye, Sangjin Hong