Li Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 90

Top Venues

DATE

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

CoRR

DAC

Publications

Zhuoran Song, Heng Lu, Li Jiang, Naifeng Jing, Xiaoyao Liang
Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang
PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy. DATE (2023)
Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD (2023)
Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing. ICCAD (2023)
Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang
PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Fangxin Liu, Ning Yang, Li Jiang
PSQ: An Automatic Search Framework for Data-Free Quantization on PIM-based Architecture. ICCD (2023)
Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang
DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (2) (2023)
Fangxin Liu, Haoming Li, Yongbiao Chen, Tao Yang, Li Jiang
HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. DAC (2023)
Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE (2023)
Tao Yang, Yiyuan Zhou, Qidong Tang, Feng Xu, Hui Ma, Jieru Zhao, Li Jiang
SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication. DAC (2023)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Xiaokang Yang, Li Jiang
SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration. DATE (2023)
Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang
Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing. DATE (2022)
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs. ICCD (2022)
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
Neural-PIM: Efficient Processing-In-Memory With Neural Approximation of Peripherals. IEEE Trans. Computers 71 (9) (2022)
Chen Nie, Zongwu Wang, Qidong Tang, Chenyang Lv, Li Jiang, Zhezhi He
Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System. ISQED (2022)
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. CoRR (2022)
Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. DATE (2022)
Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li Jiang
HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine. ASP-DAC (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao Yang, Yiran Chen, Li Jiang
IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals. CoRR (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Tao Yang, Li Jiang
IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration. ACM Great Lakes Symposium on VLSI (2021)
Hongtao Zhong, Shengjie Cao, Li Jiang, Xia An, Vijaykrishnan Narayanan, Yongpan Liu, Huazhong Yang, Xueqing Li
DyTAN: Dynamic Ternary Content Addressable Memory Using Nanoelectromechanical Relays. IEEE Trans. Very Large Scale Integr. Syst. 29 (11) (2021)
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. CoRR (2021)
Chen Nie, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, Zhezhi He
Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support. ACM Great Lakes Symposium on VLSI (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV (2021)
Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang
BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Trans. Reconfigurable Technol. Syst. 14 (4) (2021)
Xingyi Wang, Yu Li, Yiquan Chen, Shiwen Wang, Yin Du, Cheng He, YuZhong Zhang, Pinan Chen, Xin Li, Wenjun Song, Qiang Xu, Li Jiang
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers. VTS (2021)
Hanchen Guo, Zhehan Lin, Yunfei Gu, Chentao Wu, Li Jiang, Jie Li, Guangtao Xue, Minyi Guo
Lazy-WL: A Wear-aware Load Balanced Data Redistribution Method for Efficient SSD Array Scaling. CLUSTER (2021)
Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication. ACM Great Lakes Symposium on VLSI (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator. ICCAD (2021)
Ziqi Meng, Weikang Oian, Yilong Zhao, Yanan Sun, Rui Yang, Li Jiang
Digital Offset for RRAM-based Neuromorphic Computing: A Novel Solution to Conquer Cycle-to-cycle Variation. DATE (2021)
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
Skimming and Scanning for Untrimmed Video Action Recognition. CoRR (2021)
Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. ISCAS (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. ICCD (2021)
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. CIKM (2021)
Zhuoran Song, Yanan Sun, Lerong Chen, Tianjian Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (1) (2021)
Tianhong Shen, Yanan Sun, Weifeng He, Zhi Li, Weiyi Liu, Zhezhi He, Li Jiang
A Ternary Memristive Logic-in-Memory Design for Fast Data Scan. ICTA (2021)
Yanan Sun, Chang Ma, Zhi Li, Yilong Zhao, Jiachen Jiang, Weikang Qian, Rui Yang, Zhezhi He, Li Jiang
Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (12) (2021)
Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang
PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. DAC (2021)
Tao Yang, Yunkun Liao, Jianping Shi, Yun Liang, Naifeng Jing, Li Jiang
A Winograd-Based CNN Accelerator with a Fine-Grained Regular Sparsity Pattern. FPL (2020)
Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang
DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. ISCA (2020)
Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC (2020)
Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang, Li Jiang
ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory. ACM Great Lakes Symposium on VLSI (2020)
Qi Yan, Li Jiang, Solmaz S. Kia
Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions. IEEE Robotics Autom. Lett. 5 (2) (2020)
Xingyi Wang, Li Jiang, Krishnendu Chakrabarty
LSTM-based Analysis of Temporally- and Spatially-Correlated Signatures for Intermittent Fault Detection. VTS (2020)
Chang Ma, Yanan Sun, Weikang Qian, Ziqi Meng, Rui Yang, Li Jiang
Go Unary: A Novel Synapse Coding and Mapping Scheme for Reliable ReRAM-based Neuromorphic Computing. DATE (2020)
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. ISLPED (2019)
Yanan Sun, Jiawei Gu, Weifeng He, Qin Wang, Naifeng Jing, Zhigang Mao, Weikang Qian, Li Jiang
Energy-Efficient Nonvolatile SRAM Design Based on Resistive Switching Multi-Level Cells. IEEE Trans. Circuits Syst. II Express Briefs (5) (2019)
Qi Yan, Li Jiang, Solmaz S. Kia
Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions. CoRR (2019)
Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. 24 (6) (2019)
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. CoRR (2019)
Xiaoyi Sun, Krishnendu Chakrabarty, Ruirui Huang, Yiquan Chen, Bing Zhao, Hai Cao, Yinhe Han, Xiaoyao Liang, Li Jiang
System-level hardware failure prediction using deep learning. DAC (2019)
Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang
HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC (2019)
Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
Approximate Random Dropout for DNN training acceleration in GPGPU. DATE (2019)
Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC (2019)
Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen
ReCom: An efficient resistive accelerator for compressed deep neural networks. DATE (2018)
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
AXNet: approximate computing using an end-to-end trainable neural network. ICCAD (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. ICCAD (2018)
Chen Wang, Yanan Sun, Shiyan Hu, Li Jiang, Weikang Qian
Variation-Aware Global Placement for Improving Timing-Yield of Carbon-Nanotube Field Effect Transistor Circuit. ACM Trans. Design Autom. Electr. Syst. 23 (4) (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. CoRR (2018)
Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, Li Jiang
A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only). FPGA (2018)
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
Approximate Random Dropout. CoRR (2018)
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
AXNet: ApproXimate computing using an end-to-end trainable neural network. CoRR (2018)
Li Jiang, Tianjian Li, Naifeng Jing, Nam Sung Kim, Minyi Guo, Xiaoyao Liang
CNFET-Based High Throughput SIMD Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (7) (2018)
Pu Pang, Yixun Zhang, Tianjian Li, Sung Kyu Lim, Quan Chen, Xiaoyao Liang, Li Jiang
In-growth test for monolithic 3D integrated SRAM. DATE (2018)
Jianfei Wang, Qin Wang, Li Jiang, Chao Li, Xiaoyao Liang, Naifeng Jing
IBOM: An Integrated and Balanced On-Chip Memory for High Performance GPGPUs. IEEE Trans. Parallel Distributed Syst. 29 (3) (2018)
Tianjian Li, Yan Han, Xiaoyao Liang, Hsien-Hsin S. Lee, Li Jiang
Fault clustering technique for 3D memory BISR. DATE (2017)
Tianjian Li, Xiangyu Bi, Naifeng Jing, Xiaoyao Liang, Li Jiang
Sneak-Path Based Test and Diagnosis for 1R RRAM Crossbar Using Voltage Bias Technique. DAC (2017)
Jianfei Wang, Fengfeng Fan, Li Jiang, Xiaoyao Liang, Naifeng Jing
Incorporating selective victim cache into GPGPU for high-performance computing. Concurr. Comput. Pract. Exp. 29 (24) (2017)
Lerong Chen, Jiawen Li, Yiran Chen, Qiuping Deng, Jiyuan Shen, Xiaoyao Liang, Li Jiang
Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar. DATE (2017)
Naifeng Jing, Shunning Jiang, Shuang Chen, Jingjie Zhang, Li Jiang, Chao Li, Xiaoyao Liang
Bank Stealing for a Compact and Efficient Register File Architecture in GPGPU. IEEE Trans. Very Large Scale Integr. Syst. 25 (2) (2017)
Chengwen Xu, Xiangyu Wu, Wenqi Yin, Qiang Xu, Naifeng Jing, Xiaoyao Liang, Li Jiang
On Quality Trade-off Control for Approximate Computing Using Iterative Training. DAC (2017)
Tianjian Li, Li Jiang, Naifeng Jing, Nam Sung Kim, Xiaoyao Liang
CNFET-based high throughput register file architecture. ICCD (2016)
Fengfeng Fan, Jianfei Wang, Li Jiang, Xiaoyao Liang, Naifeng Jing
Applying Victim Cache in High Performance GPGPU Computing. ISPDC (2016)
Tianjian Li, Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
A Novel Test Method for Metallic CNTs in CNFET-Based SRAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (7) (2016)
Naifeng Jing, Li Jiang, Tao Zhang, Chao Li, Fengfeng Fan, Xiaoyao Liang
Energy-Efficient eDRAM-Based On-Chip Storage Architecture for GPGPUs. IEEE Trans. Computers 65 (1) (2016)
Naifeng Jing, Jianfei Wang, Fengfeng Fan, Wenkang Yu, Li Jiang, Chao Li, Xiaoyao Liang
Cache-emulated register file: An integrated on-chip memory architecture for high performance GPGPUs. MICRO (2016)
Tianjian Li, Li Jiang, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty
Defect tolerance for CNFET-based SRAMs. ITC (2016)
Yiqing Hua, Chao Li, Weichao Tang, Li Jiang, Xiaoyao Liang
Building Fuel Powered Supercomputing Data Center at Low Cost. ICS (2015)
Chen Wang, Li Jiang, Shiyan Hu, Tianjian Li, Xiaoyao Liang, Naifeng Jing, Weikang Qian
Timing-driven placement for carbon nanotube circuits. SoCC (2015)
Li Jiang, Qiang Xu
Yield and reliability enhancement for 3D ICs: Dissertation summary: IEEE TTTC E.J. McCluskey doctoral thesis award competition finalist. ITC (2015)
Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
Jump test for metallic CNTs in CNFET-based SRAM. DAC (2015)
Tianjian Li, Hao Chen, Weikang Qian, Xiaoyao Liang, Li Jiang
On microarchitectural modeling for CNFET-based circuits. SoCC (2015)
Xiaolong Zhang, Huiyun Li, Li Jiang, Qiang Xu
A Low-Cost TSV Test and Diagnosis Scheme Based on Binary Search Method. IEEE Trans. Very Large Scale Integr. Syst. 23 (11) (2015)
Naifeng Jing, Shuang Chen, Shunning Jiang, Li Jiang, Chao Li, Xiaoyao Liang
Bank stealing for conflict mitigation in GPGPU Register File. ISLPED (2015)
Zelong Sun, Li Jiang, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang, Xinli Gu
On test syndrome merging for reasoning-based board-level functional fault diagnosis. ASP-DAC (2015)
Li Jiang, Pu Pang, Naifeng Jing, Sung Kyu Lim, Xiaoyao Liang, Qiang Xu
On diagnosable and tunable 3D clock network design for lifetime reliability enhancement. ITC (2015)
Li Jiang, Xiangwei Huang, Hongfeng Xie, Qiang Xu, Chao Li, Xiaoyao Liang, Huiyun Li
A novel TSV probing technique with adhesive test interposer. ICCD (2015)
Li Jiang, Qiang Xu
Fault-Tolerant 3D-NoC Architecture and Design: Recent Advances and Challenges. NOCS (2015)
Li Jiang, Fangming Ye, Qiang Xu, Krishnendu Chakrabarty, Bill Eklow
On effective and efficient in-field TSV repair for stacked 3D ICs. DAC (2013)
Li Jiang, Qiang Xu, Bill Eklow
On Effective Through-Silicon Via Repair for 3-D-Stacked ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32 (4) (2013)
Zelong Sun, Li Jiang, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang, Xinli Gu
AgentDiag: An agent-assisted diagnostic framework for board-level functional failures. ITC (2013)
Qiang Xu, Li Jiang, Huiyun Li, Bill Eklow
Yield enhancement for 3D-stacked ICs: Recent advances and challenges. ASP-DAC (2012)
Li Jiang, Qiang Xu, Bill Eklow
On effective TSV repair for 3D-stacked ICs. DATE (2012)
Li Jiang, Qiang Xu, Krishnendu Chakrabarty, T. M. Mak
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. 20 (9) (2012)
Li Jiang, Rong Ye, Qiang Xu
Yield enhancement for 3D-stacked memory by redundancy sharing across dies. ICCAD (2010)
Li Jiang, Yuxi Liu, Lian Duan, Yuan Xie, Qiang Xu
Modeling TSV open defects in 3D-stacked DRAM. ITC (2010)
Li Jiang, Lin Huang, Qiang Xu
Test architecture design and optimization for three-dimensional SoCs. DATE (2009)
Li Jiang, Qiang Xu, Krishnendu Chakrabarty, T. M. Mak
Layout-driven test-architecture design and optimization for 3D SoCs under pre-bond test-pin-count constraint. ICCAD (2009)

Li Jiang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Li Jiang