Zhang, Miao

51 publications

AAAI 2025 APKGC: Noise-Enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty Yue Jian, Xiangyu Luo, Zhifei Li, Miao Zhang, Yan Zhang, Kui Xiao, Xiaoju Hou

ICCV 2025 ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios Jun Yin, Pengyu Zeng, Licheng Shen, Miao Zhang, Jing Zhong, Yuxing Han, Shuai Lu

AAAI 2025 Common Sense Bias Modeling for Classification Tasks Miao Zhang, Zee Fryer, Ben Colman, Ali Shahriyari, Gaurav Bharaj

CVPR 2025 Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation Yanda Chen, Gongwei Chen, Miao Zhang, Weili Guan, Liqiang Nie

IJCAI 2025 DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang

CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie

CVPR 2025 DefMamba: Deformable Visual State Space Model Leiye Liu, Miao Zhang, Jihao Yin, Tingwei Liu, Wei Ji, Yongri Piao, Huchuan Lu

ICLRW 2025 Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer Junpeng Jiang, Gangyi Hong, Hengtong Hu, Lijun Zhou, Tianyi Yan, Yida Wang, Kun Zhan, Peng Jia, XianPeng Lang, Miao Zhang

CVPR 2025 Enhancing Diversity for Data-Free Quantization Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang

NeurIPS 2025 Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator Gongwei Chen, Lirong Jie, Lexiao Zou, Weili Guan, Miao Zhang, Liqiang Nie

ICCV 2025 FALCON: Resolving Visual Redundancy and Fragmentation in High-Resolution Multimodal Large Language Models via Visual Registers Renshan Zhang, Rui Shao, Gongwei Chen, Miao Zhang, Kaiwen Zhou, Weili Guan, Liqiang Nie

NeurIPS 2025 FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang, Junjie Ren, Qianhong Ma, Jianyu Wu, Aobo Yang, Yan Lu, Lu Chen, Hairun Xie, Jing Wang, Miao Zhang, Wanli Ouyang, Shixiang Tang

NeurIPS 2025 Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark Zengxi Zhang, Junchen Ge, Zhiying Jiang, Miao Zhang, Jinyuan Liu

AAAI 2025 Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization Miao Zhang, Jiawei Wang, Kui Xiao, Shihui Wang, Yan Zhang, Hao Chen, Zhifei Li

ICLRW 2025 TDRI: Two-Phase Dialogue Refinement and Co-Adaptation for Interactive Image Generation Yangfan He, Yuheng Feng, Jianhui Wang, Kun Li, Yijin Wang, Haoyuan Li, Sida Li, Yinghui Xia, Tianyu Shi, Miao Zhang

NeurIPS 2025 Train with Perturbation, Infer After Merging: A Two-Stage Framework for Continual Learning Haomiao Qiu, Miao Zhang, Ziyue Qiao, Liqiang Nie

NeurIPS 2025 Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie

ICML 2025 Understanding the Forgetting of (Replay-Based) Continual Learning via Feature Learning: Angle Matters Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie

NeurIPS 2025 Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen

NeurIPS 2024 AFBench: A Large-Scale Benchmark for Airfoil Design Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang

CVPR 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu

NeurIPS 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie

TMLR 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

NeurIPS 2023 GNNEvaluator: Evaluating GNN Performance on Unseen Graphs Without Labels Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan

NeurIPS 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

ECCV 2022 Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu

CVPR 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang

NeurIPS 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations Miao Zhang, Wei Huang, Bin Yang

CVPRW 2022 Segmenting Across Places: The Need for Fair Transfer Learning with Satellite Imagery Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara

NeurIPS 2022 Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels Yongri Piao, Chenyang Lu, Miao Zhang, Huchuan Lu

AAAI 2022 Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan

ICLR 2022 Towards Deepening Graph Neural Networks: A GNTK-Based Optimization Perspective Wei Huang, Yayong Li, Weitao Du, Richard Xu, Jie Yin, Ling Chen, Miao Zhang

NeurIPS 2022 Weighted Mutual Learning with Diversity-Driven Model Compression Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang

CVPR 2021 Calibrated RGB-D Salient Object Detection Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng

ICCV 2021 Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo

NeurIPS 2021 Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection Jingjing Li, Wei Ji, Qi Bi, Cheng Yan, Miao Zhang, Yongri Piao, Huchuan Lu, Li Cheng

ICCV 2021 MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu

ICML 2021 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan M Abbasnejad, Reza Haffari

ECCV 2020 Accurate RGB-D Salient Object Detection via Collaborative Learning Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu

ECCV 2020 Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu

NeurIPS 2020 Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven Su

AAAI 2020 Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection Yongri Piao, Zhengkun Rong, Miao Zhang, Huchuan Lu

CVPRW 2020 Multi-Domain Learning and Identity Mining for Vehicle Re-Identification Shuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang

IJCAI 2020 One-Shot Neural Architecture Search via Novelty Driven Sampling Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su

WACV 2019 Ancient Painting to Natural Image: A New Solution for Painting Processing Tingting Qiao, Weijing Zhang, Miao Zhang, Zixuan Ma, Duanqing Xu

IJCAI 2019 Deep Light-Field-Driven Saliency Detection from a Single View Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu

IJCAI 2019 High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang, Huiqi Li, Steven W. Su

NeurIPS 2019 Memory-Oriented Decoder for Light Field Salient Object Detection Miao Zhang, Jingjing Li, Ji Wei, Yongri Piao, Huchuan Lu

AAAI 2014 Feature Selection at the Discrete Limit Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie

ECML-PKDD 2013 Minimal Shrinkage for Noisy Data Recovery Using Schatten-P Norm Objective Deguang Kong, Miao Zhang, Chris H. Q. Ding

ICCV 2013 Robust Tucker Tensor Decomposition for Effective Image Representation Miao Zhang, Chris Ding