张淼 - 哈尔滨工业大学（深圳） - 计算机科学与技术学院

个人简介

张淼，哈尔滨工业大学（深圳）计算机科学与技术学院教授，博士生导师，入选国家级青年人才计划。曾就职于丹麦奥尔堡大学计算机学院助理教授，澳大利亚莫纳什大学研究员。主要从事机器学习和人工智能方向，涉及领域包括多模态学习，模型压缩，自动机器学习，持续学习，可解释人工智能，Data-centric AI，AI for Science等。发表包括CCF A类会议或期刊论文30余篇，如IEEE TPAMI，ICML，NeurIPS，ICLR等。目前担任IEEE TCSVT Associate Editor以及IJCAI SPC，长期担任ICML, NeurIPS, ICLR, CVPR, ICCV，ECCV, IJCAI, AAAI, IJCV, IEEE TIP, IEEE TNNLS, IEEE TKDE等顶级会议和期刊PC member或审稿人。

研究领域

张淼教授目前研究领域主要涵盖自动的、高效的、可解释的深度学习，以及其在多模态数据上的应用。自动机器学习/深度学习：AutoML，网络结构搜索（NAS），超参数优化（HO），双层优化（Bi-Level Optimization），图结构学习，元学习，持续学习等。高效的机器学习/深度学习：多模态大模型压缩（包括网络剪枝，网络量化，知识蒸馏，轻量化模型设计技术等），以及高效训练。可解释的机器学习/深度学习：Influence Functions，Neural Tangent Kernel，深度学习理论，贝叶斯深度学习等。同时，张淼的研究重点还包括data-centric AI，即对人工智能（主要是深度学习）的研究从模型转向数据，具体研究方向包括：数据集蒸馏，基于数据的预测解释等。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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. (Spotlight, NeurIPS 2023, CCF A). Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan, GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. (NeurIPS 2023, CCF A). David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, and Christian S. Jensen, LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. (SIGMOD 2023, CCF A).David Campos1, Miao Zhang1,2, Bin Yang1,3, Tung Kieu1, Chenjuan Guo1,3, and Christian S. Jensen Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan, Auto-HeG: Automated Graph Neural Network on Heterophilic. (WWW 2023, CCF A) Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian Jensen, Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. (SIGMOD 2023, CCF A). 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. (Transactions on Machine Learning Research) Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, and Shirui Pan, Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. (ICDM 2022, CORE Rank A*, CCF B). Li Wang, Wei Huang, Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Weidong Su, Pruning graph neural networks by evaluating edge properties, (Knowledge-Based Systems journal vol: 256,2022. 中科院Top Journal, IF: 8.038). Wei Huang, Yayong Li, Weitao Du, Richard Xu, Jie Yin, Ling Chen, Miao Zhang, Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. (ICLR 2022, CORE Rank A*). Miao Zhang, Wei Huang, Bin Yang, Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. (Spotlight, NeurIPS 2022, CCF A). Miao Zhang, Li Wang, David Gonzalo Chaves Campos, Wei Huang, Chenjuan Guo, Bin Yang, Weighted Mutual Learning with Diversity-Driven Model Compression. (Spotlight, NeurIPS 2022, CCF A). Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang, Differentiable Neural Architecture Search via Bayesian Learning Rule. (CVPR 2022, CCF A). Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Gholamreza Haffari, iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. (ICML 2021, CCF A). Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, and Steven Su, One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. (IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, CCF A, 中科院Top Journal, IF: 24.31). Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven Su, Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. (NeurIPS 2020, CCF A). Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven Su, Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization. (CVPR 2020, CCF A). Miao Zhang, Huiqi Li, Juan Lyu, Steve Ling, Steven Su, Hyperparameter Optimization with Non-stationary Kernel for CNN based Lung Nodule Classification. (IEEE Transaction on Evolutionary Computing, CCF B, 中科院Top Journal, IF: 11.17). Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven Su, One-Shot Neural Architecture Search via Novelty Driven Sampling. (IJCAI 2020, CCF A). Miao Zhang, Huiqi Li, Steven Su, High Dimensional Bayesian Optimization via Supervised Dimension Reduction. (IJCAI 2019, CCF A). Miao Zhang, Huiqi Li, A reference direction and entropy based evolutionary algorithm for many-objective optimization. (Applied Soft Computing 70 (2018): 108-130. 中科院Top Journal, IF: 8.7).