Zhengyang Zhao

Orcid: 0000-0002-8017-3635

According to our database1, Zhengyang Zhao authored at least 37 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Social Network Rumor Detection Method Combining Dual-Attention Mechanism With Graph Convolutional Network.
IEEE Trans. Comput. Soc. Syst., October, 2023

Optimal Scheduling Strategy for Power Systems Containing Offshore Wind Farms Considering Wind Power Uncertainty.
J. Circuits Syst. Comput., March, 2023

Ultra-Short-Term Wind Power Forecasting Based on CGAN-CNN-LSTM Model Supported by Lidar.
Sensors, 2023

Segmenting Key Clues to Induce Human-Object Interaction Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

On Endurance of Processing in (Nonvolatile) Memory.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2023

CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022
Energy-efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions.
ACM Trans. Embed. Comput. Syst., September, 2022

Multiregion Scale-Aware Network for Building Extraction From High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

CRAM-Seq: Accelerating RNA-Seq Abundance Quantification Using Computational RAM.
IEEE Trans. Emerg. Top. Comput., 2022

Damage Diagnosis of Single-Layer Latticed Shell Based on Temperature-Induced Strain under Bayesian Framework.
Sensors, 2022

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs.
CoRR, 2022

SSL-DC: Improving Transductive Few-Shot Learning via Self-Supervised Learning and Distribution Calibration.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Spiking Neural Networks in Spintronic Computational RAM.
ACM Trans. Archit. Code Optim., 2021

A neural topic model with word vectors and entity vectors for short texts.
Inf. Process. Manag., 2021

Constrained Reinforcement Learning for Resource Allocation in Network Slicing.
IEEE Commun. Lett., 2021

Towards Homomorphic Inference Beyond the Edge.
CoRR, 2021

Exploring the Feasibility of Using 3D XPoint as an In-Memory Computing Accelerator.
CoRR, 2021

Seeds of SEED: H-CRAM: In-memory Homomorphic Search Accelerator using Spintronic Computational RAM.
Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021

CAMeleon: Reconfigurable B(T)CAM in Computational RAM.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
PIMBALL: Binary Neural Networks in Spintronic Memory.
ACM Trans. Archit. Code Optim., 2020

An Inference and Learning Engine for Spiking Neural Networks in Computational RAM (CRAM).
CoRR, 2020

Interference-aware parallelization for deep learning workload in GPU cluster.
Clust. Comput., 2020

MOUSE: Inference In Non-volatile Memory for Energy Harvesting Applications.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

CRAFFT: High Resolution FFT Accelerator In Spintronic Computational RAM.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Dual Preference Matrix Collaborative Filtering Algorithm and Its Application in Railway B2BE-commerce Platform.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
In-Memory Processing on the Spintronic CRAM: From Hardware Design to Application Mapping.
IEEE Trans. Computers, 2019

A Machine Learning Accelerator In-Memory for Energy Harvesting.
CoRR, 2019

Using Spin-Hall MTJs to Build an Energy-Efficient In-memory Computation Platform.
Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

Resource-Aware Cache Management for In-Memory Data Analytics Frameworks.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

True In-memory Computing with the CRAM: From Technology to Applications.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018
Computational RAM to Accelerate String Matching at Scale.
CoRR, 2018

Exploiting Processing in Non-Volatile Memory for Binary Neural Network Accelerators.
CoRR, 2018

SkyLogic - A proposal for a skyrmion logic device.
CoRR, 2018

2016
CoMET: Composite-Input Magnetoelectric-based Logic Technology.
CoRR, 2016

2012
Obstacle avoidance research of snake-like robot based on multi-sensor information fusion.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012


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