Li Jiang

186 papers A* 35A 39B 6C 14Misc 2Journal 61Unranked 29
YearRankTypeTitle / 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 B conf
BEEMS: Boosting Machine Vision Efficiency via Computation Graph-Based Memory Smoothing.
PPoPP
Hanjing Shen, Fangxin Liu, Jian Liu, Li Jiang, Haibing Guan
2026 — conf
BLADE: Boosting LLM Decoding's Communication Efficiency in DRAM-based PIM.
ASP-DAC
Yilong Zhao, Fangxin Liu, Zongwu Wang, Mingjian Li, Mingxing Zhang, Chixiao Chen, Li Jiang
2026 — conf
EARTH: An Efficient MoE Accelerator with Entropy-Aware Speculative Prefetch and Result Reuse.
ASPLOS (2)
Fangxin Liu, Ning Yang, Jingkui Yang, Zongwu Wang, Chenyang Guan, Yu Feng, Li Jiang, Haibing Guan
2026 J jnl
HyperOffload: Graph-Driven Hierarchical Memory Management for Large Language Models on SuperNode Architectures.
CoRR
Fangxin Liu, Qinghua Zhang, Hanjing Shen, Zhibo Liang, Li Jiang, Haibing Guan, Chong Bao, Xuefeng Jin
2026 A* conf
ORANGE: Exploring Ockham's Razor for Neural Rendering by Accelerating 3DGS on NPUs with GEMM-Friendly Blending and Balanced Workloads.
HPCA
Haomin Li, Yun Liang, Fangxin Liu, Bowen Zhu, Zongwu Wang, Yu Feng, Liqiang Lu, Li Jiang, Haibing Guan
2026 A* conf
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization.
AAAI
Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2026 — conf
TFLOP: Towards Energy-Efficient LLM Inference An FPGA-Affinity Accelerator with Unified LUT-based OPtimization.
ASP-DAC
Zongwu Wang, Zhongyi Tang, Fangxin Liu, Chenyang Guan, Li Jiang, Haibing Guan
2026 — conf
When Low-Rank Meets Mixed-Precision: Training-Free Joint Compression for Efficient LLM Inference.
ASP-DAC
Junjie Wang, Fangxin Liu, Jinqi Zhu, Chenyang Guan, Tao Yang, Li Jiang, Haibing Guan
2025 J jnl
A Sub- 10 μs In-Memory-Search Collision Detection Accelerator Based on RRAM-TCAMs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiahao Sun, Yijian Zhang, Yuzhuo Liu, Fangxin Liu, Li Jiang, Rui Yang
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 A* conf
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads.
DAC
Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan
2025 J jnl
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads.
CoRR
Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan
2025 — conf
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.
ASPLOS (3)
Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang
2025 J jnl
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.
CoRR
Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Habing Guan, Li Jiang
2025 A* conf
ASTER: Adaptive Dynamic Layer-Skipping for Efficient Transformer Inference via Markov Decision Process.
ACM Multimedia
Fangxin Liu, Junjie Wang, Ning Yang, Zongwu Wang, Junping Zhao, Li Jiang, Haibing Guan
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
BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision.
DAC
Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Li Jiang, Haibing Guan
2025 A* conf
CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels.
HPCA
Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang
2025 J jnl
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies.
CoRR
Ning Yang, Fangxin Liu, Junjie Wang, Tao Yang, Kang Liu, Haibing Guan, Li Jiang
2025 A conf
EVASION: Efficient KV CAche CompreSsion vIa PrOduct QuaNtization.
DATE
Zongwu Wang, Fangxin Liu, Peng Xu, Qingxiao Sun, Junping Zhao, Li Jiang
2025 — conf
Exploiting Differential-Based Data Encoding for Enhanced Query Efficiency.
ASP-DAC
Fangxin Liu, Zongwu Wang, Peng Xu, Shiyuan Huang, Li Jiang
2025 A* conf
FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE.
ISCA
Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang
2025 — conf
FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization.
EMNLP (Findings)
Fangxin Liu, Zongwu Wang, JinHong Xia, Junping Zhao, Shouren Zhao, Jinjin Li, Jian Liu, Li Jiang, Haibing Guan
2025 J jnl
FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization.
CoRR
Fangxin Liu, Zongwu Wang, JinHong Xia, Junping Zhao, Jian Liu, Haibing Guan, Li Jiang
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
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
HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing.
DATE
Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang
2025 — conf
Irregular Sparsity-Enabled Search-in-Memory Engine for Accelerating Spiking Neural Networks.
APPT
Fangxin Liu, Zongwu Wang, Ning Yang, Haomin Li, Tao Yang, Haibing Guan, Li Jiang
2025 J jnl
LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation.
CoRR
Fangxin Liu, Ning Yang, Junping Zhao, Tao Yang, Haibing Guan, Li Jiang
2025 J jnl
LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration.
CoRR
Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2025 A* conf
MILLION: MasterIng Long-Context LLM Inference Via Outlier-Immunized KV Product QuaNtization.
DAC
Zongwu Wang, Peng Xu, Fangxin Liu, Yiwei Hu, Qingxiao Sun, Gezi Li, Cheng Li, Xuan Wang, Li Jiang, Haibing Guan
2025 J jnl
MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product Quantization.
CoRR
Zongwu Wang, Peng Xu, Fangxin Liu, Yiwei Hu, Qingxiao Sun, Gezi Li, Cheng Li, Xuan Wang, Li Jiang, Haibing Guan
2025 — conf
NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks.
ASP-DAC
Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang
2025 A conf
OPS: Outlier-Aware Precision-Slice Framework for LLM Acceleration.
DATE
Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Qi Sun, Li Jiang
2025 A conf
PLAIN: Leveraging High Internal Bandwidth in PIM for Accelerating Large Language Model Inference via Mixed-Precision Quantization.
ICCAD
Yiwei Hu, Fangxin Liu, Zongwu Wang, Yilong Zhao, Tao Yang, Li Jiang, Haibing Guan
2025 J jnl
PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format.
CoRR
Yilong Zhao, Mingyu Gao, Huanchen Zhang, Fangxin Liu, Gongye Chen, He Xian, Haibing Guan, Li Jiang
2025 A conf
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations.
ICCAD
Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan
2025 J jnl
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations.
CoRR
Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan
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 — 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
STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization.
ACM Trans. Design Autom. Electr. Syst.
Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Ning Yang, Haomin Li, Li Jiang
2025 J jnl
SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shiyuan Huang, Fangxin Liu, Tao Yang, Zongwu Wang, Ning Yang, Li Jiang
2025 J jnl
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization.
CoRR
Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2025 A conf
TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism.
DATE
Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang
2024 A* conf
COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation.
MICRO
Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang
2024 A* conf
EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks.
DAC
Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang
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 C conf
HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding.
ICCD
Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang
2024 B conf
HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing.
ASPDAC
Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
2024 A* conf
INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.
DAC
Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang
2024 A conf
LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs.
ISLPED
Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang
2024 A* conf
NDPBridge: Enabling Cross-Bank Coordination in Near-DRAM-Bank Processing Architectures.
ISCA
Boyu Tian, Yiwei Li, Li Jiang, Shuangyu Cai, Mingyu Gao
2024 C conf
Ninja: A Hardware Assisted System for Accelerating Nested Address Translation.
ICCD
Longyu Zhao, Zongwu Wang, Fangxin Liu, Li Jiang
2024 B conf
PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing.
ASPDAC
Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang
2024 C conf
PS4: A Low Power SNN Accelerator with Spike Speculative Scheme.
ICCD
Zongwu Wang, Fangxin Liu, Xin Tang, Li Jiang
2024 A conf
RTSA: An RRAM-TCAM based In-Memory-Search Accelerator for Sub-100 µs Collision Detection.
DATE
Jiahao Sun, Fangxin Liu, Yijian Zhang, Li Jiang, Rui Yang
2024 A* conf
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.
HPCA
Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang
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 J jnl
SearchQ: Search-Based Fine-Grained Quantization for Data-Free Model Compression.
IEEE Trans. Circuits Syst. Artif. Intell.
Ning Yang, Fangxin Liu, Zongwu Wang, Junping Zhao, Li Jiang
2024 C conf
T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration.
ICCD
Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang
2024 B conf
TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.
ASPDAC
Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang
2024 B conf
TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation.
ASPDAC
Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang
2024 J jnl
TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication.
CoRR
Zongwu Wang, Fangxin Liu, Mingshuai Li, Li Jiang
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 — conf
ASDR: An Application-Specific Deadlock-Free Routing for Chiplet-Based Systems.
NoCArc@MICRO
Yaoyao Ye, Zixuan Liu, Jungan Liu, Li Jiang
2023 J jnl
DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang
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 A* conf
HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.
DAC
Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang
2023 A conf
HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing.
ICCAD
Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
2023 J jnl
PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang
2023 A conf
PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy.
DATE
Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang
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 C conf
PSQ: An Automatic Search Framework for Data-Free Quantization on PIM-based Architecture.
ICCD
Fangxin Liu, Ning Yang, Li Jiang
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 A conf
SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration.
DATE
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Xiaokang Yang, Li Jiang
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 A* conf
SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication.
DAC
Tao Yang, Yiyuan Zhou, Qidong Tang, Feng Xu, Hui Ma, Jieru Zhao, Li Jiang
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 — conf
Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.
ISQED
Chen Nie, Zongwu Wang, Qidong Tang, Chenyang Lv, Li Jiang, Zhezhi He
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
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.
DATE
Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
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 — conf
HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine.
ASP-DAC
Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li Jiang
2022 J jnl
IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao Yang, Yiran Chen, Li Jiang
2022 A* conf
L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks.
SIGIR
Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang
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
Neural-PIM: Efficient Processing-In-Memory With Neural Approximation of Peripherals.
IEEE Trans. Computers
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
2022 J jnl
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals.
CoRR
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
2022 A* conf
PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.
DAC
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
2022 C conf
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs.
ICCD
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, 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
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.
DAC
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
2022 A conf
Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing.
DATE
Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang
2022 A* conf
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.
AAAI
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang
2021 — conf
A Ternary Memristive Logic-in-Memory Design for Fast Data Scan.
ICTA
Tianhong Shen, Yanan Sun, Weifeng He, Zhi Li, Weiyi Liu, Zhezhi He, Li Jiang
2021 A conf
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs.
CIKM
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
2021 A* conf
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
DAC
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
2021 J jnl
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
CoRR
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
2021 J jnl
BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization.
ACM Trans. Reconfigurable Technol. Syst.
Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang
2021 A conf
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.
ICCAD
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
2021 A conf
Digital Offset for RRAM-based Neuromorphic Computing: A Novel Solution to Conquer Cycle-to-cycle Variation.
DATE
Ziqi Meng, Weikang Qian, Yilong Zhao, Yanan Sun, Rui Yang, Li Jiang
2021 J jnl
DyTAN: Dynamic Ternary Content Addressable Memory Using Nanoelectromechanical Relays.
IEEE Trans. Very Large Scale Integr. Syst.
Hongtao Zhong, Shengjie Cao, Li Jiang, Xia An, Vijaykrishnan Narayanan, Yongpan Liu, Huazhong Yang, Xueqing Li
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 — conf
IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration.
ACM Great Lakes Symposium on VLSI
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Tao Yang, Li Jiang
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 C conf
Lazy-WL: A Wear-aware Load Balanced Data Redistribution Method for Efficient SSD Array Scaling.
CLUSTER
Hanchen Guo, Zhehan Lin, Yunfei Gu, Chentao Wu, Li Jiang, Jie Li, Guangtao Xue, Minyi Guo
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 Misc conf
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers.
VTS
Xingyi Wang, Yu Li, Yiquan Chen, Shiwen Wang, Yin Du, Cheng He, Yuzhong Zhang, Pinan Chen, Xin Li, Wenjun Song, Qiang Xu, 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
2021 — conf
Skimming and Scanning for Efficient Action Recognition in Untrimmed Videos.
CISP-BMEI
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
2021 J jnl
Skimming and Scanning for Untrimmed Video Action Recognition.
CoRR
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
2021 J jnl
Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yanan Sun, Chang Ma, Zhi Li, Yilong Zhao, Jiachen Jiang, Weikang Qian, Rui Yang, Zhezhi He, Li Jiang
2020 B conf
A Winograd-Based CNN Accelerator with a Fine-Grained Regular Sparsity Pattern.
FPL
Tao Yang, Yunkun Liao, Jianping Shi, Yun Liang, Naifeng Jing, Li Jiang
2020 J jnl
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks.
CoRR
Fangxin Liu, Wenbo Zhao, Yanzhi Wang, Changzhi Dai, Li Jiang
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 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 A conf
Go Unary: A Novel Synapse Coding and Mapping Scheme for Reliable ReRAM-based Neuromorphic Computing.
DATE
Chang Ma, Yanan Sun, Weikang Qian, Ziqi Meng, Rui Yang, Li Jiang
2020 Misc conf
LSTM-based Analysis of Temporally- and Spatially-Correlated Signatures for Intermittent Fault Detection.
VTS
Xingyi Wang, Li Jiang, Krishnendu Chakrabarty
2020 J jnl
Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions.
IEEE Robotics Autom. Lett.
Qi Yan, Li Jiang, Solmaz S. Kia
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
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
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.
ISLPED
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
2019 J jnl
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.
CoRR
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
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 Nonvolatile SRAM Design Based on Resistive Switching Multi-Level Cells.
IEEE Trans. Circuits Syst. II Express Briefs
Yanan Sun, Jiawei Gu, Weifeng He, Qin Wang, Naifeng Jing, Zhigang Mao, Weikang Qian, 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 J jnl
Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions.
CoRR
Qi Yan, Li Jiang, Solmaz S. Kia
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
2018 A conf
ReCom: An efficient resistive accelerator for compressed deep neural networks.
DATE
Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen
2018 J jnl
Variation-Aware Global Placement for Improving Timing-Yield of Carbon-Nanotube Field Effect Transistor Circuit.
ACM Trans. Design Autom. Electr. Syst.
Chen Wang, Yanan Sun, Shiyan Hu, Li Jiang, Weikang Qian
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 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
2015 J jnl
A Low-Cost TSV Test and Diagnosis Scheme Based on Binary Search Method.
IEEE Trans. Very Large Scale Integr. Syst.
Xiaolong Zhang, Huiyun Li, Li Jiang, Qiang Xu
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 A conf
Building Fuel Powered Supercomputing Data Center at Low Cost.
ICS
Yiqing Hua, Chao Li, Weichao Tang, Li Jiang, Xiaoyao Liang
2015 — conf
Fault-Tolerant 3D-NoC Architecture and Design: Recent Advances and Challenges.
NOCS
Li Jiang, Qiang Xu
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
On test syndrome merging for reasoning-based board-level functional fault diagnosis.
ASP-DAC
Zelong Sun, Li Jiang, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang, Xinli Gu
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
Yield and reliability enhancement for 3D ICs: Dissertation summary: IEEE TTTC E.J. McCluskey doctoral thesis award competition finalist.
ITC
Li Jiang, Qiang Xu
2013 A conf
AgentDiag: An agent-assisted diagnostic framework for board-level functional failures.
ITC
Zelong Sun, Li Jiang, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang, Xinli Gu
2013 J jnl
On Effective Through-Silicon Via Repair for 3-D-Stacked ICs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Li Jiang, Qiang Xu, Bill Eklow
2013 A* conf
On effective and efficient in-field TSV repair for stacked 3D ICs.
DAC
Li Jiang, Fangming Ye, Qiang Xu, Krishnendu Chakrabarty, Bill Eklow
2012 J jnl
Integrated Test-Architecture Optimization and Thermal-Aware Test Scheduling for 3-D SoCs Under Pre-Bond Test-Pin-Count Constraint.
IEEE Trans. Very Large Scale Integr. Syst.
Li Jiang, Qiang Xu, Krishnendu Chakrabarty, T. M. Mak
2012 A conf
On effective TSV repair for 3D-stacked ICs.
DATE
Li Jiang, Qiang Xu, Bill Eklow
2012 — conf
Yield enhancement for 3D-stacked ICs: Recent advances and challenges.
ASP-DAC
Qiang Xu, Li Jiang, Huiyun Li, Bill Eklow
2010 A conf
Modeling TSV open defects in 3D-stacked DRAM.
ITC
Li Jiang, Yuxi Liu, Lian Duan, Yuan Xie, Qiang Xu
2010 A conf
Yield enhancement for 3D-stacked memory by redundancy sharing across dies.
ICCAD
Li Jiang, Rong Ye, Qiang Xu
2009 A conf
Layout-driven test-architecture design and optimization for 3D SoCs under pre-bond test-pin-count constraint.
ICCAD
Li Jiang, Qiang Xu, Krishnendu Chakrabarty, T. M. Mak
2009 A conf
Test architecture design and optimization for three-dimensional SoCs.
DATE
Li Jiang, Lin Huang, Qiang Xu