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Publication search results
found 39 matches
- 2024
- Shuzhi Zhao, Guangyan Dai, Jingting Li, Xiaoxia Zhu, Xiyan Huang, Yongxue Li, Mingdan Tan, Lan Wang, Peng Fang, Xi Chen, Nan Yan, Hanjun Liu:
An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. npj Digit. Medicine 7(1) (2024) - Peihua Han, Mingda Zhu, Houxiang Zhang:
Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models. IEEE Trans. Ind. Informatics 20(3): 3188-3196 (2024) - Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu:
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR 2024 - Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan:
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. ICML 2024 - Qizhi Xie, Kun Yuan, Yunpeng Qu, Mingda Wu, Ming Sun, Chao Zhou, Jihong Zhu:
QPT V2: Masked Image Modeling Advances Visual Scoring. CoRR abs/2407.16541 (2024) - Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen:
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR abs/2407.19845 (2024) - 2023
- Jiangmin Mao, Yingdan Zhu, Mingda Chen, Gang Chen, Chun Yan, Dong Liu:
A contradiction solving method for complex product conceptual design based on deep learning and technological evolution patterns. Adv. Eng. Informatics 55: 101825 (2023) - Yi-Xuan Zhang, Yong-Chang Jiao, Ming-Da Zhu, Yu Zhang:
Wideband Near-Field RCS Measurement Techniques With Improved Far-Field RCS Prediction Accuracies. IEEE Trans. Instrum. Meas. 72: 1-4 (2023) - Yu Zhang, Siqi Chen, Mingdao Wang, Xianlin Zhang, Chuang Zhu, Yue Zhang, Xueming Li:
Temporal Consistent Automatic Video Colorization via Semantic Correspondence. CVPR Workshops 2023: 1836-1845 - Jian Zhu, Mingkai Sheng, Mingda Ke, Wen Cheng, Liying Zhang, Lingfang Zeng:
Deep Fusion Multi-View Hashing for Multimedia Retrieval. ICKG 2023: 91-99 - Weiwei Tian, Peihua Han, Mingda Zhu, Øivind Kåre Kjerstad, Guoyuan Li, Houxiang Zhang:
Informed Clustering for Encounter Type Categorization Based on AIS Data. ICCMA 2023: 25-30 - Yu Zhang, Siqi Chen, Mingdao Wang, Xianlin Zhang, Chuang Zhu, Yue Zhang, Xueming Li:
Temporal Consistent Automatic Video Colorization via Semantic Correspondence. CoRR abs/2305.07904 (2023) - Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR abs/2307.07328 (2023) - Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu:
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models. CoRR abs/2308.07902 (2023) - Jian Zhu, Mingkai Sheng, Mingda Ke, Zhangmin Huang, Jingfei Chang:
CLIP Multi-modal Hashing: A new baseline CLIPMH. CoRR abs/2308.11797 (2023) - Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu:
VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR abs/2309.16211 (2023) - Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Jialu Liu, Shih-Fu Chang:
Video Summarization: Towards Entity-Aware Captions. CoRR abs/2312.02188 (2023) - Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu:
Defenses in Adversarial Machine Learning: A Survey. CoRR abs/2312.08890 (2023) - 2022
- Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. COLING 2022: 485-495 - Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS 2022 - Mingda Zhu, Tongtong Wang, Houxiang Zhang, Guoyuan Li:
Ship manoeuvring model identification under wind disturbance. RCAR 2022: 648-653 - Mingda Zhu, Robert Skulstad, Luman Zhao, Houxiang Zhang, Guoyuan Li:
MPC-based path planning for ship collision avoidance under COLREGS. SMC 2022: 1930-1935 - Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR abs/2206.12654 (2022) - Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. CoRR abs/2208.08094 (2022) - 2021
- Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops 2021: 3081-3090 - Mingda Qian, Bo Li, Xiaoyan Gu, Zhuo Wang, Feifei Dai, Weiping Wang:
Combining Meta-path Instances into Layer-Wise Graphs for Recommendation. DASFAA (3) 2021: 321-329 - Feifei Dai, Xiaoyan Gu, Zhuo Wang, Bo Li, Mingda Qian, Weiping Wang:
Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation. ICANN (1) 2021: 204-216 - Feifei Dai, Xiaoyan Gu, Zhuo Wang, Mingda Qian, Bo Li, Weiping Wang:
Heterogeneous Side Information-based Iterative Guidance Model for Recommendation. ICMR 2021: 55-63 - Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-stage Model Synthesis for Efficient Inference. CoRR abs/2105.03014 (2021) - 2020
- Ying-Yu Liu, Ming-Da Zhu, Chang Zhai, Peng Hou, Yu Zhang:
Matrix-Partitioned DDM for the Accurate Analysis of Challenging Scattering Problems. IEEE Access 8: 140661-140672 (2020)
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