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ORCIDMiao Zhang 0022
Person information
- affiliation: Harbin Institute of Technology (Shenzhen), China
- affiliation (PhD): University of Technology Sydney, NSW, Australia
Other persons with the same name
- Miao Zhang — disambiguation page
- Miao Zhang 0001
![[0000-0001-9428-0573]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9428-0573")
— Harbin Institute of Technology, Department of Control Science and Engineering, China - Miao Zhang 0002 — Institute of Remote Sensing and Digital Earth, Division of Digital Agriculture, Beijing, China (and 1 more)
- Miao Zhang 0003 — Simon Fraser University, BC, Canada (and 1 more)
- Miao Zhang 0004 — Dalian University of Technology, School of Information Science and Engineering, Dalian, China (and 1 more)
- Miao Zhang 0005 — University of Windsor, Ontario, Canada
- Miao Zhang 0006 — Karlsruhe University, Germany
- Miao Zhang 0007 — Stanford University, CA, USA
- Miao Zhang 0008 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Miao Zhang 0009 — Tianjin University of Science and Technology, College of Electronic Information and Automation, China (and 1 more)
- Miao Zhang 0010 — Tsinghua University, Shenzhen International Graduate School, China (and 1 more)
- Miao Zhang 0011 — Beijing University of Posts and Telecommunications, School of Cybersecurity, National Engineering Research Center of DBR, Beijing, China (and 1 more)
- Miao Zhang 0012 — Shanghai University of Finance and Economics, School of Information Management and Engineering, China
- Miao Zhang 0013 — Xi'an Jiaotong University, School of Software Engineering, China
- Miao Zhang 0014 — Chinese PLA General Hospital, Chinese PLA Medical School, Senior Department of Otolaryngology Head and Neck Surgery, Beijing, China
- Miao Zhang 0015 — Tianjin University of Science and Technology, College of Electronic Information and Automation, China
- Miao Zhang 0016 — State Grid Beijing Electric Power Company, Electric Power Research Institute, Beijing, China
- Miao Zhang 0017 — Xiamen University, School of Electronic Science and Engineering, China (and 1 more)
- Miao Zhang 0018 — Chongqing Jiaotong University, School of Information Science and Engineering, China (and 1 more)
- Miao Zhang 0019 — Zhejiang University of Technology, School of Education Science and Technology, Hangzhou, China
- Miao Zhang 0020 — Tianjin University, Department of Information Management and Management Science, China
- Miao Zhang 0021 — Louisiana State University, Department of Mathematics, Baton Rouge, LA, USA
- Miao Zhang 0023 — Inner Mongolia University, School of Mathematical Sciences, Hohhot, China
- Miao Zhang 0024 — Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, China
- Miao Zhang 0025 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Miao Zhang 0026 — Tongji University, College of Electronic and Information Engineering, Shanghai, China
- Miao Zhang 0027 — Delft University of Technology, Department of Microelectronics, The Netherlands
- Miao Zhang 0028 — Jilin University, School of Artificial Intelligence, Changchun, China
- Miao Zhang 0029 — Hebei Finance University, School of Insurance and Pubic Finance, Baoding, China
- Miao Zhang 0030 — New York University, NY, USA
- Miao Zhang 0031 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 1 more)
- Miao Zhang 0032 — Nanyang Normal University, Engineering Research Center of Environmental Laser Remote Sensing Technology and Application of Henan Province, China
- Miao Zhang 0033 — Wuhan University, School of Electronic Information, China
- Miao Zhang 0034 — Quanzhou University of Information Engineering, China
- Miao Zhang 0035 — Harbin Institute of Technology, Faculty of Computing, School of Computer Science and Technology, China
- Miao Zhang 0036 — Hubei University, School of Computer Science, Wuhan, China (and 1 more)
- Miao Zhang 0037 — National University of Defense Technology, Changsha, China
- Miao Zhang 0038 — Shanghai Jiao Tong University School of Medicine, Ruijin Hospital, Department of Nuclear Medicine, China
- Miao Zhang 0039 — South China Normal University, Institute of Semiconductor Science and Technology, Guangzhou, China
- Miao Zhang 0040 — Zhejiang University of Science and Technology, School of Automation and Electrical Engineering, Hangzhou, China (and 1 more)
- Miao Zhang 0041 — Xi'an Jiaotong University, School of Information and Communications Engineering, Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, China
- Miao Zhang 0042 — China Academy of Railway Sciences Corporation Ltd., Beijing, China
- Miao Zhang 0043 — Robert Bosch GmbH, Germany
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2020 – today
- 2026
[j18]Li Wang, Chao Zeng, Miao Zhang, Jianlong Wu, Liqiang Nie:
Domain aware post training quantization for vision transformers in deployment. Pattern Recognit. 171: 112182 (2026)- 2025
- [j17]Jiaqi Zhao, Chao Zeng, Ming Wang, Linxuan Han, Yuzhang Shang, Miao Zhang, Liqiang Nie:
LRQuant+: A Unified and Learnable Framework to Post-Training Quantization for Transformer-Based Large Foundation Models. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11817-11833 (2025) - [c26]Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang:
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. ACL (1) 2025: 4483-4502 - [c25]Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie:
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CVPR 2025: 2955-2965 - [c24]Yanda Chen, Gongwei Chen, Miao Zhang, Weili Guan, Liqiang Nie:
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation. CVPR 2025: 20437-20446 - [c23]Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang:
Enhancing Diversity for Data-free Quantization. CVPR 2025: 20969-20978 - [c22]Zhonghao Li, Ji Shi, Xinming Zhang, Miao Zhang, Bo Li:
SFi-Former: Sparse Flow Induced Attention for Graph Transformer. ICMR 2025: 760-769 - [i29]Jiaqi Zhao, Ming Wang, Miao Zhang, Yuzhang Shang, Xuebo Liu, Yaowei Wang, Min Zhang, Liqiang Nie:
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis. CoRR abs/2502.13178 (2025) - [i28]Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang:
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. CoRR abs/2502.13179 (2025) - [i27]Yanda Chen, Gongwei Chen, Miao Zhang, Weili Guan, Liqiang Nie:
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation. CoRR abs/2503.18872 (2025) - [i26]Junpeng Jiang, Gangyi Hong, Miao Zhang, Hengtong Hu, Kun Zhan, Rui Shao, Liqiang Nie:
DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer. CoRR abs/2504.19614 (2025) - [i25]Zhonghao Li, Ji Shi, Xinming Zhang, Miao Zhang, Bo Li:
SFi-Former: Sparse Flow Induced Attention for Graph Transformer. CoRR abs/2504.20666 (2025) - [i24]Haomiao Qiu, Miao Zhang, Ziyue Qiao, Weili Guan, Min Zhang, Liqiang Nie:
SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting. CoRR abs/2505.22370 (2025) - [i23]Haomiao Qiu, Miao Zhang, Ziyue Qiao, Liqiang Nie:
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning. CoRR abs/2505.22389 (2025) - [i22]Jiaqi Zhao, Miao Zhang, Weili Guan, Liqiang Nie:
Boost Post-Training Quantization via Null Space Optimization for Large Language Models. CoRR abs/2506.11044 (2025) - [i21]Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie:
Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression. CoRR abs/2509.23779 (2025) - 2024
- [j16]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9023-9037 (2024) - [j15]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10558-10578 (2024) - [j14]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. 17(11): 2708-2721 (2024) - [j13]Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. Proc. VLDB Endow. 18(2): 144-157 (2024) - [c21]Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie:
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. ACL (1) 2024: 2240-2255 - [c20]Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie:
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization. NeurIPS 2024 - [i20]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR abs/2404.13990 (2024) - [i19]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models. CoRR abs/2407.11681 (2024) - [i18]Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie:
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CoRR abs/2409.03550 (2024) - [i17]Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie:
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization. CoRR abs/2409.19345 (2024) - [i16]Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. CoRR abs/2411.05833 (2024) - 2023
- [j12]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1(1): 97:1-97:26 (2023) - [j11]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1(2): 171:1-171:27 (2023) - [j10]Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang:
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17(4): 753-765 (2023) - [j9]Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng:
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. 2023 (2023) - [c19]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS 2023 - [c18]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. NeurIPS 2023 - [c17]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW 2023: 611-620 - [i15]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. CoRR abs/2302.12357 (2023) - [i14]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR abs/2302.12721 (2023) - [i13]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. CoRR abs/2306.02664 (2023) - [i12]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining. CoRR abs/2308.06755 (2023) - [i11]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations. CoRR abs/2308.06767 (2023) - [i10]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR abs/2310.14586 (2023) - 2022
- [j8]Li Wang, Wei Huang, Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Weidong Su:
Pruning graph neural networks by evaluating edge properties. Knowl. Based Syst. 256: 109847 (2022) - [c16]Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan:
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract). AAAI 2022: 12925-12926 - [c15]Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR 2022: 11861-11870 - [c14]Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan:
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. ICDM 2022: 783-792 - [c13]Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang:
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR 2022 - [c12]Miao Zhang, Wei Huang, Bin Yang:
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS 2022 - [c11]Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang:
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 2022 - [i9]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i8]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR abs/2211.16126 (2022) - [i7]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang:
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR abs/2212.04058 (2022) - 2021
- [j7]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [j6]Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve S. H. Ling, Steven W. Su:
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. IEEE Trans. Evol. Comput. 25(5): 869-882 (2021) - [c10]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML 2021: 12557-12566 - [i6]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR abs/2106.10784 (2021) - [i5]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari:
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective. CoRR abs/2106.11542 (2021) - [i4]Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR abs/2111.13204 (2021) - 2020
- [c9]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su:
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. CVPR 2020: 7806-7815 - [c8]Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su:
One-Shot Neural Architecture Search via Novelty Driven Sampling. IJCAI 2020: 3188-3194 - [c7]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su:
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. NeurIPS 2020
2010 – 2019
- 2019
- [c6]Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. IJCAI 2019: 4292-4298 - [i3]Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su:
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. CoRR abs/1901.00276 (2019) - [i2]Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. CoRR abs/1907.08953 (2019) - [i1]Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su:
Efficient Novelty-Driven Neural Architecture Search. CoRR abs/1907.09109 (2019) - 2018
- [j5]Miao Zhang, Huiqi Li:
A reference direction and entropy based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 70: 108-130 (2018) - [j4]Miao Zhang, Huiqi Li, Li Liu, Rajkumar Buyya:
An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds. Distributed Parallel Databases 36(2): 339-368 (2018) - [j3]Li Liu, Shuxian Gu, Dongmei Fu, Miao Zhang, Rajkumar Buyya:
A New Multi-objective Evolutionary Algorithm for Inter-Cloud Service Composition. KSII Trans. Internet Inf. Syst. 12(1): 1-20 (2018) - [c5]Wentian Zhang, Taoping Liu, Miao Zhang, Yi Zhang, Huiqi Li, Maiken Ueland, Shari L. Forbes, X. Rosalind Wang, Steven W. Su:
NOS.E: A New Fast Response Electronic Nose Health Monitoring System. EMBC 2018: 4977-4980 - 2017
- [j2]Li Liu, Miao Zhang, Rajkumar Buyya, Qi Fan:
Deadline-constrained coevolutionary genetic algorithm for scientific workflow scheduling in cloud computing. Concurr. Comput. Pract. Exp. 29(5) (2017) - 2015
- [j1]Li Liu, Miao Zhang:
Multi-objective Optimization Model with AHP Decision-making for Cloud Service Composition. KSII Trans. Internet Inf. Syst. 9(9): 3293-3311 (2015) - [c4]Miao Zhang, Li Liu:
Evolutionary Algorithm with AHP Decision-Making Method for Cloud Workflow Service Composition. CloudCom 2015: 339-346 - [c3]Miao Zhang, Li Liu, Songtao Liu:
Genetic Algorithm Based QoS-aware Service Composition in Multi-cloud. CIC 2015: 113-118 - 2014
- [c2]Li Liu, Miao Zhang, Yuqing Lin, Liangjuan Qin:
A Survey on Workflow Management and Scheduling in Cloud Computing. CCGRID 2014: 837-846 - [c1]Li Liu, Xiaofen Yao, Liangjuan Qin, Miao Zhang:
Ontology-based service matching in cloud computing. FUZZ-IEEE 2014: 2544-2550
Coauthor Index
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