Ziyang Zheng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
MMFOSOM: A Novel Multi-objective Moth-Flame Optimization Algorithm Based on Self-Organizing Mapping.
Int. J. Comput. Intell. Syst., December, 2025

3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering.
CoRR, August, 2025

Circuit-Aware SAT Solving: Guiding CDCL via Conditional Probabilities.
CoRR, August, 2025

Compressing Chain-of-Thought in LLMs via Step Entropy.
CoRR, August, 2025

A Strong PUF-Based Security Protocol to Protect AI Model Parameters Against Privacy Information Leakage.
IEEE Internet Things J., June, 2025

Noise Conditional Variational Score Distillation.
CoRR, June, 2025

Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism.
CoRR, May, 2025

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.
CoRR, May, 2025

DeepCell: Multiview Representation Learning for Post-Mapping Netlists.
CoRR, February, 2025

Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

Generalized Quantum State Tomography With Hybrid Denoising Priors.
IEEE Trans. Signal Process., 2025

Non-Cross Diffusion for Semantic Consistency.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Fourier Phase Retrieval With Diffusion Priors Guided by Failure Detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Point Cloud Resampling With Learnable Heat Diffusion.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
Dual-attention U-Net and multi-convolution network for single-image rain removal.
Vis. Comput., November, 2024

Predictable Host Networking in Data Centers: Challenges, Techniques and Future Directions.
IEEE Netw., November, 2024

Revisiting Learned Image Compression With Statistical Measurement of Latent Representations.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Dual parallel multi-scale residual overlay network for single-image rain removal.
Signal Image Video Process., April, 2024

Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks.
CoRR, 2024

An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model.
CoRR, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.
CoRR, 2024

MTA Fuzzer: A low-repetition rate Modbus TCP fuzzing method based on Transformer and Mutation Target Adaptation.
Comput. Secur., 2024

Erratum to: Large circuit models: opportunities and challenges.
Sci. China Inf. Sci., 2024

Large circuit models: opportunities and challenges.
Sci. China Inf. Sci., 2024

Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Point Cloud Upsampling with Geometric Algebra Driven Inverse Heat Dissipation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Timing-violation-soft PUF design based on carry-lookahead adder.
Proceedings of the IEEE International Test Conference in Asia, 2024

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MSGAT: Multi-Stage Graph Attention Network For Human Motion Prediction.
Proceedings of the IEEE International Conference on Image Processing, 2024

DCCM: Dual Data Consistency Guided Consistency Model for Inverse Problems.
Proceedings of the IEEE International Conference on Image Processing, 2024

DeepGate3: Towards Scalable Circuit Representation Learning.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023
Dual adaptive training of photonic neural networks.
Nat. Mac. Intell., October, 2023

Memory-efficient multi-scale residual dense network for single image rain removal.
Comput. Vis. Image Underst., October, 2023

An adaptive fuzzing method based on transformer and protocol similarity mutation.
Comput. Secur., June, 2023

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
On the Convergence of Non-Convex Phase Retrieval With Denoising Priors.
IEEE Trans. Signal Process., 2022

Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

All-optical graph representation learning using integrated diffractive photonic computing units.
CoRR, 2022

MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation.
CoRR, 2022

2021
Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction.
IEEE Trans. Signal Process., 2021

2020
A Novel Beam Steerable Antenna Employing Tunable High Impedance Surface With Liquid Crystal.
IEEE Access, 2020

DSCR-Net: A Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

REV-AE: A Learned Frame Set for Image Reconstruction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Lossy Image Compression with Filter Bank Based Convolutional Networks.
Proceedings of the Data Compression Conference, 2019

2018
Compressed Sensing via a Deep Convolutional Auto-encoder.
Proceedings of the IEEE Visual Communications and Image Processing, 2018


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