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ORCIDMingzhi Dong
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2020 – today
- 2024
[j14]Zhenyu Xu
, Hailin Xu, Zhouyang Lu, Yingying Zhao, Rui Zhu, Yujiang Wang, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Can Large Language Models Be Good Companions?: An LLM-Based Eyewear System with Conversational Common Ground. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 87:1-87:41 (2024)- [j13]Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Toward Certified Robustness of Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3834-3844 (2024) - [i15]Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. CoRR abs/2405.07527 (2024) - [i14]Chenyu Wang, Shuo Yan, Yixuan Chen, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation. CoRR abs/2409.12532 (2024) - 2023
- [j12]Xiangyao Qi, Qi Lu, Wentao Pan, Yingying Zhao, Rui Zhu, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 115:1-115:31 (2023) - [j11]Yujiang Wang, Mingzhi Dong, Jie Shen, Yiming Luo, Yiming Lin, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Self-Supervised Video-Centralised Transformer for Video Face Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12944-12959 (2023) - [j10]Yiting Liu, Ziyi Ju, Zhengming Li, Mingzhi Dong, Hai Zhou, Jia Wang, Fan Yang, Xuan Zeng, Li Shang:
GraphPlanner: Floorplanning with Graph Neural Network. ACM Trans. Design Autom. Electr. Syst. 28(2): 21:1-21:24 (2023) - [c16]Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang:
Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. ICLR 2023 - [c15]Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. NeurIPS 2023 - [i13]Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton:
Is dataset condensation a silver bullet for healthcare data sharing? CoRR abs/2305.03711 (2023) - [i12]Zhenyu Xu, Hailin Xu, Zhouyang Lu, Yingying Zhao, Rui Zhu, Yujiang Wang, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground. CoRR abs/2311.18251 (2023) - 2022
- [j9]Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Do Smart Glasses Dream of Sentimental Visions?: Deep Emotionship Analysis for Eyewear Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 38:1-38:29 (2022) - [j8]Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Sharon Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 199:1-199:33 (2022) - [j7]Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang:
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. IEEE Trans. Multim. 24: 2150-2163 (2022) - [c14]Yiting Liu, Ziyi Ju, Zhengming Li, Mingzhi Dong, Hai Zhou, Jia Wang, Fan Yang, Xuan Zeng, Li Shang:
Floorplanning with graph attention. DAC 2022: 1303-1308 - [c13]Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang:
Recursive Disentanglement Network. ICLR 2022 - [i11]Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices. CoRR abs/2201.09933 (2022) - [i10]Yujiang Wang, Mingzhi Dong, Jie Shen, Yiming Luo, Yiming Lin, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Self-supervised Video-centralised Transformer for Video Face Clustering. CoRR abs/2203.13166 (2022) - 2021
- [j6]Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang:
MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 56:1-56:23 (2021) - [i9]Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang:
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. CoRR abs/2104.04443 (2021) - [i8]Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang:
MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture. CoRR abs/2105.00916 (2021) - 2020
- [j5]Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue:
Learning Local Metrics and Influential Regions for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1522-1529 (2020) - [j4]Xiaochen Yang, Mingzhi Dong, Ziyu Wang, Lianru Gao, Lefei Zhang, Jing-Hao Xue:
Data-augmented matched subspace detector for hyperspectral subpixel target detection. Pattern Recognit. 106: 107464 (2020) - [c12]Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic:
Dynamic Face Video Segmentation via Reinforcement Learning. CVPR 2020: 6957-6967 - [c11]Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue:
Generalization Bound of Gradient Descent for Non-Convex Metric Learning. NeurIPS 2020 - [c10]Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue:
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. ECML/PKDD (2) 2020: 223-238 - [i7]Yujiang Wang, Mingzhi Dong, Jie Shen, Yiming Lin, Maja Pantic:
Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation. CoRR abs/2006.03708 (2020) - [i6]Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Towards Certified Robustness of Metric Learning. CoRR abs/2006.05945 (2020)
2010 – 2019
- 2019
- [j3]Rui Zhu, Mingzhi Dong, Jing-Hao Xue:
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. Inf. Sci. 481: 69-80 (2019) - [i5]Yujiang Wang, Jie Shen, Mingzhi Dong, Yang Wu, Shiyang Cheng, Maja Pantic:
Dynamic Face Video Segmentation via Reinforcement Learning. CoRR abs/1907.01296 (2019) - 2018
- [c9]Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. ICPR 2018: 2269-2276 - [i4]Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue:
Learning Local Metrics and Influential Regions for Classification. CoRR abs/1802.03452 (2018) - [i3]Mingzhi Dong, Xiaochen Yang, Yang Wu, Jing-Hao Xue:
Metric Learning via Maximizing the Lipschitz Margin Ratio. CoRR abs/1802.03464 (2018) - [i2]Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning. CoRR abs/1806.04798 (2018) - [i1]Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. CoRR abs/1810.07778 (2018) - 2017
- [c8]Mingzhi Dong, Kunkun Pang, Yang Wu, Jing-Hao Xue, Timothy M. Hospedales, Tsukasa Ogasawara:
Transferring CNNS to multi-instance multi-label classification on small datasets. ICIP 2017: 1332-1336 - 2015
- [j2]Rui Zhu, Mingzhi Dong, Jing-Hao Xue:
Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3062-3067 (2015) - 2014
- [j1]Liang Yin, Mingzhi Dong, Ying Duan, Weihong Deng, Kaili Zhao, Jun Guo:
A high-performance training-free approach for hand gesture recognition with accelerometer. Multim. Tools Appl. 72(1): 843-864 (2014) - 2013
- [c7]Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang:
A Maximum K-Min Approach for Classification. AAAI 2013: 246-252 - [c6]Mingzhi Dong, Liang Yin:
A Maximum K-Min Approach for Classification. AAAI 2013: 1607-1608 - [c5]Kaili Zhao, Honggang Zhang, Mingzhi Dong, Jun Guo, Yonggang Qi, Yi-Zhe Song:
A multi-label classification approach for Facial Expression Recognition. VCIP 2013: 1-6 - 2012
- [c4]Mingzhi Dong, Liang Yin, Jun Guo, Weihong Deng, Weiran Xu:
Integrative labeling based statistical color models with application to skin detection. ICIP 2012: 2369-2372 - [c3]Liang Yin, Mingzhi Dong, Weihong Deng, Jun Guo, Bin Zhang:
Statistical Color Model Based Adult Video Filter. ICME Workshops 2012: 349-353 - [c2]Mingzhi Dong, Liang Yin, Weihong Deng, Jun Guo, Weiran Xu:
A Computationally Efficient Algorithm for Building Statistical Color Models. ICME Workshops 2012: 402-407 - [c1]Mingzhi Dong, Liang Yin, Weihong Deng, Qiang Wang, Caixia Yuan, Jun Guo, Li Shang, Liwei Ma:
A Linear Max K-min classifier. ICPR 2012: 2967-2971
Coauthor Index
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