Yi-ran Chen
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Yi-ran Chencomputer-science Degrees
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Computer Science
Yi-ran Chen's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
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(Suggest an Edit or Addition)Yi-ran Chen's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Learning Structured Sparsity in Deep Neural Networks (2016) (1871)
- TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning (2017) (769)
- PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning (2017) (508)
- A novel architecture of the 3D stacked MRAM L2 cache for CMPs (2009) (445)
- Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement (2008) (335)
- Memristor Crossbar-Based Neuromorphic Computing System: A Case Study (2014) (289)
- Emerging non-volatile memories: Opportunities and challenges (2011) (189)
- GraphR: Accelerating Graph Processing Using ReRAM (2017) (178)
- MoDNN: Local distributed mobile computing system for Deep Neural Network (2017) (165)
- DPATCH: An Adversarial Patch Attack on Object Detectors (2018) (160)
- Faster CNNs with Direct Sparse Convolutions and Guided Pruning (2016) (157)
- Generative Poisoning Attack Method Against Neural Networks (2017) (155)
- Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar (2017) (149)
- How is energy consumed in smartphone display applications? (2013) (140)
- A Hybrid solid-state storage architecture for the performance, energy consumption, and lifetime improvement (2010) (140)
- Vortex: Variation-aware training for memristor X-bar (2015) (138)
- eButton: A wearable computer for health monitoring and personal assistance (2014) (138)
- RENO: A high-efficient reconfigurable neuromorphic computing accelerator design (2015) (136)
- A Survey of Accelerator Architectures for Deep Neural Networks (2020) (135)
- Learning Intrinsic Sparse Structures within Long Short-term Memory (2017) (130)
- Neural Predictor for Neural Architecture Search (2019) (125)
- Coordinating Filters for Faster Deep Neural Networks (2017) (120)
- A spiking neuromorphic design with resistive crossbar (2015) (114)
- Feature Space Perturbations Yield More Transferable Adversarial Examples (2019) (114)
- Deterministic clock gating for microprocessor power reduction (2003) (112)
- Reduction and IR-drop compensations techniques for reliable neuromorphic computing systems (2014) (110)
- RRAM-Based Analog Approximate Computing (2015) (93)
- STT-RAM cell design optimization for persistent and non-persistent error rate reduction: A statistical design view (2011) (91)
- Multi-level cell STT-RAM: Is it realistic or just a dream? (2012) (90)
- Design Margin Exploration of Spin-Transfer Torque RAM (STT-RAM) in Scaled Technologies (2010) (86)
- Geometry variations analysis of TiO2 thin-film and spintronic memristors (2011) (83)
- Training itself: Mixed-signal training acceleration for memristor-based neural network (2014) (83)
- Memristor-based approximated computation (2013) (83)
- Asymmetry of MTJ switching and its implication to STT-RAM designs (2012) (83)
- An overview of non-volatile memory technology and the implication for tools and architectures (2009) (77)
- Compact Model of Subvolume MTJ and Its Design Application at Nanoscale Technology Nodes (2015) (75)
- Exploration of GPGPU register file architecture using domain-wall-shift-write based racetrack memory (2014) (75)
- DCG: deterministic clock-gating for low-power microprocessor design (2004) (72)
- HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array (2019) (70)
- Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine (2013) (69)
- A 130 nm 1.2 V/3.3 V 16 Kb Spin-Transfer Torque Random Access Memory With Nondestructive Self-Reference Sensing Scheme (2012) (69)
- Access scheme of Multi-Level Cell Spin-Transfer Torque Random Access Memory and its optimization (2010) (68)
- Compact modeling and corner analysis of spintronic memristor (2009) (67)
- A Compact Memristor-Based Dynamic Synapse for Spiking Neural Networks (2017) (64)
- Spintronic Memristor Temperature Sensor (2010) (63)
- A nondestructive self-reference scheme for Spin-Transfer Torque Random Access Memory (STT-RAM) (2010) (63)
- Processor caches built using multi-level spin-transfer torque RAM cells (2011) (63)
- Memristor crossbar based hardware realization of BSB recall function (2012) (60)
- Variable-Latency Adder (VL-Adder) Designs for Low Power and NBTI Tolerance (2010) (60)
- Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices (2012) (56)
- BSB training scheme implementation on memristor-based circuit (2013) (56)
- GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs (2020) (55)
- On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations (2013) (54)
- AOS: Adaptive overwrite scheme for energy-efficient MLC STT-RAM cache (2016) (53)
- Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability (2020) (52)
- Transferable Perturbations of Deep Feature Distributions (2020) (50)
- A software approach for combating asymmetries of non-volatile memories (2012) (49)
- ReCom: An efficient resistive accelerator for compressed deep neural networks (2018) (49)
- Utilizing PCM for Energy Optimization in Embedded Systems (2012) (49)
- Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators (2016) (47)
- ICE: Inline calibration for memristor crossbar-based computing engine (2014) (46)
- ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks (2018) (46)
- CD-ECC: Content-dependent error correction codes for combating asymmetric nonvolatile memory operation errors (2013) (46)
- Spin Torque Random Access Memory Down to 22 nm Technology (2008) (45)
- An EDA framework for large scale hybrid neuromorphic computing systems (2015) (44)
- A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation (2017) (42)
- STT-RAM Cell Optimization Considering MTJ and CMOS Variations (2011) (42)
- The Prospect of STT-RAM Scaling From Readability Perspective (2012) (41)
- TRP: Trained Rank Pruning for Efficient Deep Neural Networks (2020) (41)
- Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM) (2008) (41)
- State-restrict MLC STT-RAM designs for high-reliable high-performance memory system (2014) (40)
- Fork Path: Improving efficiency of ORAM by removing redundant memory accesses (2015) (39)
- Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems (2018) (37)
- Resistive Memory‐Based In‐Memory Computing: From Device and Large‐Scale Integration System Perspectives (2019) (37)
- PS3-RAM: A fast portable and scalable statistical STT-RAM reliability analysis method (2012) (37)
- Performance, Power, and Reliability Tradeoffs of STT-RAM Cell Subject to Architecture-Level Requirement (2011) (36)
- Low cost power failure protection for MLC NAND flash storage systems with PRAM/DRAM hybrid buffer (2013) (35)
- Energy-Aware Adaptive Restore Schemes for MLC STT-RAM Cache (2017) (35)
- Read Performance: The Newest Barrier in Scaled STT-RAM (2015) (35)
- A thermal and process variation aware MTJ switching model and its applications in soft error analysis (2012) (35)
- Fine-grained dynamic voltage scaling on OLED display (2012) (34)
- Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size (2016) (34)
- RRAM-based Spiking Nonvolatile Computing-In-Memory Processing Engine with Precision-Configurable In Situ Nonlinear Activation (2019) (33)
- The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design (2014) (33)
- Energy efficient neural networks for big data analytics (2014) (33)
- Voltage Driven Nondestructive Self-Reference Sensing Scheme of Spin-Transfer Torque Memory (2012) (33)
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning (2018) (32)
- Tolerating process variations in large, set-associative caches: The buddy cache (2009) (31)
- Radiation-Induced Soft Error Analysis of STT-MRAM: A Device to Circuit Approach (2016) (30)
- Nonvolatile Memory Design: Magnetic, Resistive, and Phase Change (2011) (30)
- A closed-loop design to enhance weight stability of memristor based neural network chips (2017) (29)
- Spiking neural network with RRAM: Can we use it for real-world application? (2015) (29)
- Compiler-assisted refresh minimization for volatile STT-RAM cache (2013) (28)
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (2021) (28)
- The salvage cache: A fault-tolerant cache architecture for next-generation memory technologies (2009) (28)
- Statistical memristor modeling and case study in neuromorphic computing (2012) (28)
- DPA: A data pattern aware error prevention technique for NAND flash lifetime extension (2014) (27)
- FingerShadow: An OLED Power Optimization Based on Smartphone Touch Interactions (2014) (27)
- Trained Rank Pruning for Efficient Deep Neural Networks (2018) (27)
- Coordinating prefetching and STT-RAM based last-level cache management for multicore systems (2013) (27)
- ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM (2019) (27)
- AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators (2020) (27)
- Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers (2018) (27)
- A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system (2017) (26)
- Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing (2017) (26)
- Improving energy efficiency of write-asymmetric memories by log style write (2012) (25)
- Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling (2014) (25)
- A Novel Self-Reference Technique for STT-RAM Read and Write Reliability Enhancement (2014) (25)
- Processor caches with multi-level spin-transfer torque ram cells (2011) (25)
- Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view (2018) (25)
- ADAMS: Asymmetric differential STT-RAM cell structure for reliable and high-performance applications (2013) (24)
- Variation tolerant sensing scheme of Spin-Transfer Torque Memory for yield improvement (2010) (24)
- A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip (2016) (24)
- Checkpoint-aware instruction scheduling for nonvolatile processor with multiple functional units (2015) (23)
- Giant spin hall effect (GSHE) logic design for low power application (2015) (23)
- FlexLevel: A novel NAND flash storage system design for LDPC latency reduction (2015) (23)
- ReRAM-based accelerator for deep learning (2018) (23)
- Exploiting Spin-Orbit Torque Devices As Reconfigurable Logic for Circuit Obfuscation (2018) (22)
- A heterogeneous computing system with memristor-based neuromorphic accelerators (2014) (22)
- Demystifying energy usage in smartphones (2014) (21)
- DaTuM: Dynamic tone mapping technique for OLED display power saving based on video classification (2015) (21)
- An efficient STT-RAM-based register file in GPU architectures (2015) (21)
- LONG SHORT-TERM MEMORY (2018) (21)
- 3M-PCM: Exploiting multiple write modes MLC phase change main memory in embedded systems (2014) (21)
- An FPGA Design Framework for CNN Sparsification and Acceleration (2017) (21)
- Low-energy volatile STT-RAM cache design using cache-coherence-enabled adaptive refresh (2013) (21)
- Current Switching in MgO-Based Magnetic Tunneling Junctions (2011) (21)
- Recent Technology Advances of Emerging Memories (2017) (20)
- Area and performance co-optimization for domain wall memory in application-specific embedded systems (2015) (19)
- Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification (2020) (19)
- Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces (2020) (19)
- FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective (2021) (19)
- MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks (2017) (18)
- Challenges of memristor based neuromorphic computing system (2018) (18)
- ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration (2020) (18)
- Online OLED dynamic voltage scaling for video streaming applications on mobile devices (2013) (18)
- Cache coherence enabled adaptive refresh for volatile STT-RAM (2013) (18)
- Towards Decentralized Deep Learning with Differential Privacy (2019) (18)
- LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning (2018) (17)
- STT-RAM CELL DESIGN CONSIDERING MTJ ASYMMETRIC SWITCHING (2012) (17)
- Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective (2017) (17)
- C1C: A configurable, compiler-guided STT-RAM L1 cache (2013) (16)
- A 1.0V 45nm nonvolatile magnetic latch design and its robustness analysis (2011) (16)
- Security of neuromorphic computing: Thwarting learning attacks using memristor's obsolescence effect (2016) (16)
- Hardware implementation of echo state networks using memristor double crossbar arrays (2017) (16)
- Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks (2020) (16)
- Architecting a common-source-line array for bipolar non-volatile memory devices (2012) (16)
- Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array (2018) (16)
- A Time, Energy, and Area Efficient Domain Wall Memory-Based SPM for Embedded Systems (2016) (16)
- Combined magnetic- and circuit-level enhancements for the nondestructive self-reference scheme of STT-RAM (2010) (16)
- Snooping Attacks on Deep Reinforcement Learning (2019) (15)
- VOSCH: Voltage scaled cache hierarchies (2007) (15)
- Running sparse and low-precision neural network: When algorithm meets hardware (2018) (15)
- A neuromorphic ASIC design using one-selector-one-memristor crossbar (2016) (15)
- A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications (2022) (15)
- Considering fabrication in sustainable computing (2013) (15)
- ApesNet: a pixel-wise efficient segmentation network for embedded devices (2016) (15)
- PS3-RAM: A Fast Portable and Scalable Statistical STT-RAM Reliability/Energy Analysis Method (2014) (15)
- AdaLearner: An adaptive distributed mobile learning system for neural networks (2017) (14)
- A design to reduce write amplification in object-based NAND flash devices (2016) (14)
- NVSim-VXs: An improved NVSim for variation aware STT-RAM simulation (2016) (14)
- Evasion Attacks to Graph Neural Networks via Influence Function (2020) (14)
- TPrune: Efficient Transformer Pruning for Mobile Devices (2021) (14)
- Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays (2017) (14)
- A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting (2017) (14)
- Spintronics based stochastic computing for efficient Bayesian inference system (2017) (14)
- Spintronic memristor based temperature sensor design with CMOS current reference (2012) (14)
- MORPh: Mobile OLED-friendly recording and playback system for low power video streaming (2016) (14)
- An Energy-Efficient GPGPU Register File Architecture Using Racetrack Memory (2017) (14)
- FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning (2021) (14)
- NV-TCAM: Alternative interests and practices in NVM designs (2014) (14)
- FlexLevel NAND Flash Storage System Design to Reduce LDPC Latency (2017) (14)
- DPatch: Attacking Object Detectors with Adversarial Patches (2018) (13)
- SBAC: A statistics based cache bypassing method for asymmetric-access caches (2014) (13)
- FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning (2021) (13)
- Spin Transfer Torque Memory With Thermal Assist Mechanism: A Case Study (2010) (13)
- Sliding Basket: An adaptive ECC scheme for runtime write failure suppression of STT-RAM cache (2016) (13)
- A new field-assisted access scheme of STT-RAM with self-reference capability (2014) (13)
- RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-memory Databases (2018) (13)
- Differentiable Fine-grained Quantization for Deep Neural Network Compression (2018) (12)
- DA-RAID-5: A disturb aware data protection technique for NAND flash storage systems (2013) (12)
- MobiEye: An Efficient Cloud-based Video Detection System for Real-Time Mobile Applications (2019) (12)
- Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure (2021) (12)
- Emerging non-volatile memory technologies: From materials, to device, circuit, and architecture (2010) (12)
- RED: A ReRAM-based Deconvolution Accelerator (2019) (12)
- PCMO Device With High Switching Stability (2010) (12)
- Compiler-Assisted Refresh Minimization for Volatile STT-RAM Cache (2015) (12)
- Prefetching techniques for STT-RAM based last-level cache in CMP systems (2014) (11)
- User Classification and Authentication for Mobile Device Based on Gesture Recognition (2014) (11)
- Security of neuromorphic systems: Challenges and solutions (2016) (11)
- SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures (2019) (11)
- PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM (2020) (11)
- Process variation aware data management for magnetic skyrmions racetrack memory (2018) (11)
- STD-TLB: A STT-RAM-based dynamically-configurable translation lookaside buffer for GPU architectures (2014) (10)
- Statistical Cache Bypassing for Non-Volatile Memory (2016) (10)
- Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing (2016) (10)
- Advanced Techniques for Robust SAR ATR: Mitigating Noise and Phase Errors (2020) (10)
- NASGEM: Neural Architecture Search via Graph Embedding Method (2020) (10)
- The applications of NVM technology in hardware security (2016) (10)
- NeuralHMC: an efficient HMC-based accelerator for deep neural networks (2019) (10)
- Bio-inspired computing with resistive memories — models, architectures and applications (2014) (10)
- ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell (2019) (9)
- 3D-ICML: A 3D bipolar ReRAM design with interleaved complementary memory layers (2011) (9)
- Understanding the trade-offs of device, circuit and application in ReRAM-based neuromorphic computing systems (2017) (9)
- Heterogeneous systems with reconfigurable neuromorphic computing accelerators (2016) (9)
- A novel PUF based on cell error rate distribution of STT-RAM (2016) (9)
- A holistic tri-region MLC STT-RAM design with combined performance, energy, and reliability optimizations (2016) (9)
- VWS: A versatile warp scheduler for exploring diverse cache localities of GPGPU applications (2015) (9)
- MSNet: Structural Wired Neural Architecture Search for Internet of Things (2019) (9)
- Improving Gradient Regularization using Complex-Valued Neural Networks (2021) (8)
- ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition (2021) (8)
- Data-Pattern-Aware Error Prevention Technique to Improve System Reliability (2017) (8)
- PENNI: Pruned Kernel Sharing for Efficient CNN Inference (2020) (8)
- Loadsa: A yield-driven top-down design method for STT-RAM array (2013) (8)
- Cloning your mind: Security challenges in cognitive system designs and their solutions (2015) (8)
- ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition (2020) (8)
- Stacking magnetic random access memory atop microprocessors: an architecture-level evaluation (2011) (8)
- ApesNet: a pixel-wise efficient segmentation network (2016) (8)
- Exploiting Multiple Write Modes of Nonvolatile Main Memory in Embedded Systems (2017) (8)
- Modeling STT-RAM fabrication cost and impacts in NVSim (2016) (8)
- TEMP: Thread batch enabled memory partitioning for GPU (2016) (8)
- EDA Challenges for Memristor-Crossbar based Neuromorphic Computing (2015) (7)
- Spin-hall assisted STT-RAM design and discussion (2015) (7)
- Practical power consumption analysis with current smartphones (2016) (7)
- Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System (2018) (7)
- Nonvolatile Memories as the Data Storage System for Implantable ECG Recorder (2012) (7)
- MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block (2020) (7)
- An adjustable memristor model and its application in small-world neural networks (2014) (7)
- Scope - quality retaining display rendering workload scaling based on user-smartphone distance (2016) (7)
- Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss (2016) (7)
- Low-power neuromorphic speech recognition engine with coarse-grain sparsity (2017) (7)
- SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning (2018) (6)
- A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel (2016) (6)
- The application of spintronic devices in magnetic bio-sensing (2010) (6)
- Common-source-line array (2013) (6)
- Objnandsim: object-based NAND flash device simulator (2016) (6)
- Probabilistic design in spintronic memory and logic circuit (2012) (6)
- Spintronic devices: From memory to memristor (2010) (6)
- Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs (2020) (6)
- Thwarting Replication Attack Against Memristor-Based Neuromorphic Computing System (2020) (6)
- Improving Out-of-Distribution Detection by Learning From the Deployment Environment (2022) (6)
- The applications of memristor devices in next-generation cortical processor designs (2015) (6)
- Shift-Optimized Energy-Efficient Racetrack-Based Main Memory (2017) (6)
- Reduction of data prevention cost and improvement of reliability in MLC NAND flash storage system (2014) (5)
- Reshaping Future Computing Systems With Emerging Nonvolatile Memory Technologies (2019) (5)
- ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM (2020) (5)
- Persistent and Nonpersistent Error Optimization for STT-RAM Cell Design (2017) (5)
- A new self-reference sensing scheme for TLC MRAM (2015) (5)
- RAM and TCAM designs by using STT-MRAM (2016) (5)
- Thermal-Assisted Spin Transfer Torque Memory (STT-RAM) Cell Design Exploration (2009) (5)
- Giant Spin-Hall assisted STT-RAM and logic design (2017) (5)
- SlowMo - enhancing mobile gesture-based authentication schemes via sampling rate optimization (2016) (5)
- TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations (2018) (5)
- Hardware Fault Tolerance for Binary RRAM Crossbars (2019) (5)
- Footfall - GPS polling scheduler for power saving on wearable devices (2016) (5)
- Neural processor design enabled by memristor technology (2016) (5)
- Nonpersistent Errors Optimization in Spin-MOS Logic and Storage Circuitry (2011) (4)
- Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices (2018) (4)
- On Designing Efficient and Reliable Nonvolatile Memory-Based Computing-In-Memory Accelerators (2019) (4)
- AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture (2019) (4)
- Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation (2021) (4)
- Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions (2018) (4)
- NV-TCAM: Alternative designs with NVM devices (2018) (4)
- SPN Dash - Fast Detection of Adversarial Attacks on Mobile via Sensor Pattern Noise Fingerprinting (2018) (4)
- Design techniques of eNVM-enabled neuromorphic computing systems (2016) (4)
- Extending the lifetime of object-based NAND flash device with STT-RAM/DRAM hybrid buffer (2017) (4)
- Mobile user classification and authorization based on gesture usage recognition (2013) (4)
- MLC STT-RAM design considering probabilistic and asymmetric MTJ switching (2013) (4)
- Thermal optimization for memristor-based hybrid neuromorphic computing systems (2016) (4)
- Learning Efficient Sparse Structures in Speech Recognition (2019) (4)
- Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments (2021) (4)
- Spintronic Memristor as Interface Between DNA and Solid State Devices (2016) (3)
- Bio-inspired ultra lower-power neuromorphic computing engine for embedded systems (2013) (3)
- Spintronic Memristor: Compact Model and Statistical Analysis (2011) (3)
- Adaptive refreshing and read voltage control scheme for FeDRAM (2016) (3)
- Active compensation technique for the thin-film transistor variations and OLED aging of mobile device displays (2012) (3)
- Neuromorphic Hardware Acceleration Enabled by Emerging Technologies (2017) (3)
- Exploring Applications of STT-RAM in GPU Architectures (2021) (3)
- Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving (2019) (3)
- Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D (2021) (3)
- Built-in selectors self-assembled into memristors (2016) (2)
- Guest Editors' Introduction: Critical and Enabling Techniques for Emerging Memories (2017) (2)
- Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training (2019) (2)
- Neuromorphic computing: A SoC scaling path for the next decades (2012) (2)
- Design and Data Management for Magnetic Racetrack Memory (2018) (2)
- Design and Implementation of a 4Kb STT-MRAM with Innovative 200nm Nano-ring Shaped MTJ (2016) (2)
- PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud (2022) (2)
- Exploration of Automatic Mixed-Precision Search for Deep Neural Networks (2019) (2)
- Cascading structured pruning: enabling high data reuse for sparse DNN accelerators (2022) (2)
- Structural sparsification for Far-field Speaker Recognition with GNA (2019) (2)
- Emerging sensing techniques for emerging memories (2011) (2)
- Mobile devices user — The subscriber and also the publisher of real-time OLED display power management plan (2012) (2)
- Spiking-based matrix computation by leveraging memristor crossbar array (2015) (2)
- An Energy-Efficient 3D Stacked STT-RAM Cache Architecture for CMPs (2014) (2)
- Vortex (2015) (2)
- Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse (2019) (1)
- Reliability-aware energy minimization for real-time embedded systems with window-constraints (2013) (1)
- ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation (2022) (1)
- TPrune (2021) (1)
- Dictionary learning for sparse representation and classification of neural spikes (2016) (1)
- In-place Logic Obfuscation for Emerging Nonvolatile FPGAs (2017) (1)
- Applications of TMR devices in solid state circuits and systems (2010) (1)
- Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective (2020) (1)
- SMALE: Enhancing Scalability of Machine Learning Algorithms on Extreme Scale Computing Platforms (2022) (1)
- Multi-bit soft error tolerable L1 data cache based on characteristic of data value (2015) (1)
- ZARA (2019) (1)
- MobiEye (2019) (1)
- Self-Trained Proposal Networks for the Open World (2022) (1)
- Integral Pruning on Activations and Weights for Efficient Neural Networks (2018) (1)
- AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems (2019) (1)
- Low-Cost Floating-Point Processing in ReRAM for Scientific Computing (2020) (1)
- Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? (2021) (1)
- Morphed Learning: Towards Privacy-Preserving for Deep Learning Based Applications (2018) (1)
- Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction (2022) (1)
- Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting (2019) (1)
- Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna (2019) (1)
- On Provable Backdoor Defense in Collaborative Learning (2021) (1)
- C1C (2013) (1)
- Asymmetry in STT-RAM Cell Operations (2014) (1)
- Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G (2021) (1)
- FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System (2021) (1)
- MRAC: A Memristor-based Reconfigurable Framework for Adaptive Cache Replacement (2011) (1)
- Combating Write Penalties Using Software Dispatch for On-Chip MRAM Integration (2012) (1)
- How to Obtain and Run Light and Efficient Deep Learning Networks (2019) (1)
- Privacy Leakage of Adversarial Training Models in Federated Learning Systems (2022) (1)
- NAND flash service lifetime estimate with recovery effect and retention time relaxation (2014) (1)
- NASRec: Weight Sharing Neural Architecture Search for Recommender Systems (2022) (0)
- Session details: CAD for low power and reliability (2014) (0)
- Recent progresses of STT memory design and applications (2015) (0)
- Hardware acceleration for neuromorphic computing: An evolving view (2015) (0)
- Supplementary Material: Neural Predictor for Neural Architecture Search (2020) (0)
- 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2015, Verona, NY, USA, May 26-28, 2015 (2015) (0)
- Nanoscale Memory Architectures for Neuromorphic Computing (2017) (0)
- Security challenges in smart surveillance systems and the solutions based on emerging nano-devices (2016) (0)
- FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices (2022) (0)
- MORPh: mobile OLED power friendly camera system (2016) (0)
- FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks (2020) (0)
- CPU-GPU System Designs for High Performance Cloud Computing (2014) (0)
- IP1 Interactive Presentations (2019) (0)
- DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs (2023) (0)
- Scalability of PCMO-based resistive switch device in DSM technologies (2010) (0)
- A compact model for selectors based on metal doped electrolyte (2018) (0)
- Low-Cost Floating-Point Processing in ReRAM (0)
- Guest Editorial for Special Issue on Emerging Memory Technologies - Modeling, Design, and Applications for Multi-Scale Computing (2015) (0)
- Session details: Optimizing computation and communication in mobile systems (2014) (0)
- Challenges of memristor based neuromorphic computing system (2018) (0)
- Towards Efficient and Secure Delivery of Data for Training and Inference with Privacy-Preserving. (2018) (0)
- Session details: Software and system power optimization (2007) (0)
- Designing Neuromorphic Computing Systems with Memristor Devices (2019) (0)
- RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification (2021) (0)
- Special session on reliability and vulnerability of neuromorphic computing systems (2018) (0)
- Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack (2018) (0)
- Neuromorphic Computing Systems: From CMOS To Emerging Nonvolatile Memory (2019) (0)
- 5 Hot Topic-Spintronics based Computing (2017) (0)
- Session details: Emerging nonvolatile memory and memristors (2011) (0)
- A Statistical STT-RAM Design View and Robust Designs at Scaled Technologies (2017) (0)
- Session details: Yin and yang of memories: the power-performance trade-off (2012) (0)
- ReTransformer (2020) (0)
- Neuromorphic hardware acceleration enabled by emerging technologies (Invited paper) (2014) (0)
- Statistical Reliability/Energy Characterization in STT-RAM Cell Designs (2015) (0)
- Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification (2022) (0)
- MobiLatice (2020) (0)
- STT-RAM reliability enhancement through ECC and access scheme optimization (2014) (0)
- Parallelism in Deep Learning Accelerators (2020) (0)
- The Future of Nonvolatile Memory (2017) (0)
- SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection (2023) (0)
- Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation (2020) (0)
- The Untapped Potential of Off-the-Shelf Convolutional Neural Networks (2021) (0)
- Design for a Manufacturing Method for Memristor-Based Neuromorphic Computing Processors (2013) (0)
- Session details: Special Session: Emerging Computing Paradigm for Error-Tolerant Applications: Approximate Computing and Stochastic Computing (2015) (0)
- More Generalized and Personalized Unsupervised Representation Learning In A Distributed System (2022) (0)
- Session details: Implementation of Deep Neural Networks and Its Applications (2016) (0)
- Session details: Emerging Technologies (2015) (0)
- Spin-Transfer Torque RAM (2017) (0)
- Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-Grained Settings (2021) (0)
- Session details: Energy Optimization for Emerging Applications (2016) (0)
- DefT: Boosting Scalability of Deformable Convolution Operations on GPUs (2023) (0)
- The Prospect of STT-RAM Scaling (2017) (0)
- 8.5 Hot Topic-Spintronics based Computing (2020) (0)
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