Miao Zhang

According to our database, Miao Zhang authored at least 57 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Domain aware post training quantization for vision transformers in deployment.

Li Wang, Chao Zeng, Miao Zhang, Jianlong Wu, Liqiang Nie

Pattern Recognit., 2026

2025

Boost Post-Training Quantization via Null Space Optimization for Large Language Models.

Jiaqi Zhao, Miao Zhang, Weili Guan, Liqiang Nie

CoRR, June, 2025

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning.

Haomiao Qiu, Miao Zhang, Ziyue Qiao, Liqiang Nie

CoRR, May, 2025

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting.

Haomiao Qiu, Miao Zhang, Ziyue Qiao, Weili Guan, Min Zhang, Liqiang Nie

CoRR, May, 2025

DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer.

Junpeng Jiang, Gangyi Hong, Miao Zhang, Hengtong Hu, Kun Zhan, Rui Shao, Liqiang Nie

CoRR, April, 2025

Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis.

Jiaqi Zhao, Ming Wang, Miao Zhang, Yuzhang Shang, Xuebo Liu, Yaowei Wang, Min Zhang, Liqiang Nie

CoRR, February, 2025

SFi-Former: Sparse Flow Induced Attention for Graph Transformer.

Zhonghao Li, Ji Shi, Xinming Zhang, Miao Zhang, Bo Li

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture.

Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation.

Yanda Chen, Gongwei Chen, Miao Zhang, Weili Guan, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Enhancing Diversity for Data-free Quantization.

Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models.

Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations.

Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining.

Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Fully Automated Correlated Time Series Forecasting in Minutes.

Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., October, 2024

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models.

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen

Proc. VLDB Endow., July, 2024

MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models.

Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi

CoRR, 2024

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version.

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen

CoRR, 2024

Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization.

Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models.

Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Multiple Time Series Forecasting with Dynamic Graph Modeling.

Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang

Proc. VLDB Endow., December, 2023

Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection.

Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng

Trans. Mach. Learn. Res., 2023

AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.

Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen

Proc. ACM Manag. Data, 2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation.

David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

Proc. ACM Manag. Data, 2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.

David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

CoRR, 2023

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.

Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.

Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.

Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Pruning graph neural networks by evaluating edge properties.

Li Wang, Wei Huang, Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Weidong Su

Knowl. Based Syst., 2022

AutoPINN: When AutoML Meets Physics-Informed Neural Networks.

Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang

CoRR, 2022

Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.

Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen

CoRR, 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.

Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu

CoRR, 2022

Weighted Mutual Learning with Diversity-Driven Model Compression.

Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations.

Miao Zhang, Wei Huang, Bin Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective.

Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing.

Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2022

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule.

Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract).

Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization.

Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve S. H. Ling, Steven W. Su

IEEE Trans. Evol. Comput., 2021

One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective.

Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari

CoRR, 2021

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients.

Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement.

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

One-Shot Neural Architecture Search via Novelty Driven Sampling.

Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization.

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Efficient Novelty-Driven Neural Architecture Search.

Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su

CoRR, 2019

Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization.

Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su

CoRR, 2019

High Dimensional Bayesian Optimization via Supervised Dimension Reduction.

Miao Zhang, Huiqi Li, Steven W. Su

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A New Multi-objective Evolutionary Algorithm for Inter-Cloud Service Composition.

Li Liu, Shuxian Gu, Dongmei Fu, Miao Zhang, Rajkumar Buyya

KSII Trans. Internet Inf. Syst., 2018

An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds.

Miao Zhang, Huiqi Li, Li Liu, Rajkumar Buyya

Distributed Parallel Databases, 2018

A reference direction and entropy based evolutionary algorithm for many-objective optimization.

Miao Zhang, Huiqi Li

Appl. Soft Comput., 2018

NOS.E: A New Fast Response Electronic Nose Health Monitoring System.

Wentian Zhang, Taoping Liu, Miao Zhang, Yi Zhang, Huiqi Li, Maiken Ueland, Shari L. Forbes, X. Rosalind Wang, Steven W. Su

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Deadline-constrained coevolutionary genetic algorithm for scientific workflow scheduling in cloud computing.

Li Liu, Miao Zhang, Rajkumar Buyya, Qi Fan

Concurr. Comput. Pract. Exp., 2017

2015

Multi-objective Optimization Model with AHP Decision-making for Cloud Service Composition.

Li Liu, Miao Zhang

KSII Trans. Internet Inf. Syst., 2015

Genetic Algorithm Based QoS-aware Service Composition in Multi-cloud.

Miao Zhang, Li Liu, Songtao Liu

Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015

Evolutionary Algorithm with AHP Decision-Making Method for Cloud Workflow Service Composition.

Miao Zhang, Li Liu

Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

2014

Ontology-based service matching in cloud computing.

Li Liu, Xiaofen Yao, Liangjuan Qin, Miao Zhang

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A Survey on Workflow Management and Scheduling in Cloud Computing.

Li Liu, Miao Zhang, Yuqing Lin, Liangjuan Qin

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014