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ORCIDMinghao Xu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]Minghao Xu
, Hang Wang, Bingbing Ni:
Graphical Modeling for Multi-Source Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1727-1741 (2024)- [j6]Minghao Xu, Chenbin Zhao, Xueguan Liu, Xinjian Chen, Baoqing Nie:
A Flexible Wireless Pressure Sensor Based on UHF RFID Technology. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c20]Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang:
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training. ACL (1) 2024: 8950-8963 - [i21]Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang:
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training. CoRR abs/2403.07920 (2024) - [i20]Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan:
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. CoRR abs/2405.14785 (2024) - [i19]Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang:
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. CoRR abs/2405.16206 (2024) - 2023
- [j5]Shuangqi Li, Pengfei Zhao, Chenghong Gu, Jianwei Li, Shuang Cheng, Minghao Xu:
Battery Protective Electric Vehicle Charging Management in Renewable Energy System. IEEE Trans. Ind. Informatics 19(2): 1312-1321 (2023) - [c19]Lichuan Xiang, Rosco Hunter, Minghao Xu, Lukasz Dudziak, Hongkai Wen:
Exploiting Network Compressibility and Topology in Zero-Cost NAS. AutoML 2023: 18/1-14 - [c18]Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang:
Protein Representation Learning by Geometric Structure Pretraining. ICLR 2023 - [c17]Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang:
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. ICML 2023: 38749-38767 - [c16]Zuobai Zhang, Minghao Xu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang:
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction. NeurIPS 2023 - [i18]Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang:
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. CoRR abs/2301.12040 (2023) - [i17]Zuobai Zhang, Minghao Xu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang:
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction. CoRR abs/2301.12068 (2023) - [i16]Zuobai Zhang, Minghao Xu, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang:
Enhancing Protein Language Models with Structure-based Encoder and Pre-training. CoRR abs/2303.06275 (2023) - 2022
- [j4]Yichao Yan, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zheng Zhang, Shuo Cheng, Qi Tian, Yi Xu, Xiaokang Yang, Wenjun Zhang:
Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 666-683 (2022) - [j3]Shuangqi Li, Pengfei Zhao, Chenghong Gu, Jianwei Li, Shuang Cheng, Minghao Xu:
Online Battery Protective Energy Management for Energy-Transportation Nexus. IEEE Trans. Ind. Informatics 18(11): 8203-8212 (2022) - [c15]Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. ACCV (1) 2022: 469-485 - [c14]Minghao Xu, Daling Wang, Shi Feng, Zhenfei Yang, Yifei Zhang:
KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context Features. COLING 2022: 6906-6915 - [c13]Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu:
HCSC: Hierarchical Contrastive Selective Coding. CVPR 2022: 9696-9705 - [c12]Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang:
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. NeurIPS 2022 - [c11]Minghao Xu, Tao Feng, Xianming Gao, Shanqing Jiang, Shengyuan Qi, Zhongyuan Yang:
P-LFA: A Novel LFA-Based Percolation Fast Rerouting Mechanism. WASA (2) 2022: 557-571 - [i15]Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu:
HCSC: Hierarchical Contrastive Selective Coding. CoRR abs/2202.00455 (2022) - [i14]Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR abs/2202.08320 (2022) - [i13]Zuobai Zhang, Minghao Xu, Arian R. Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang:
Protein Representation Learning by Geometric Structure Pretraining. CoRR abs/2203.06125 (2022) - [i12]Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. CoRR abs/2205.12564 (2022) - [i11]Minghao Xu, Yuanfan Guo, Xuanyu Zhu, Jiawen Li, Zhenbang Sun, Jian Tang, Yi Xu, Bingbing Ni:
HIRL: A General Framework for Hierarchical Image Representation Learning. CoRR abs/2205.13159 (2022) - [i10]Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang:
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. CoRR abs/2206.02096 (2022) - [i9]Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian:
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data. CoRR abs/2211.12941 (2022) - 2021
- [c10]Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. ICCV 2021: 7950-7959 - [c9]Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. ICCV 2021: 8741-8750 - [c8]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. ICML 2021: 11548-11558 - [c7]Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang:
Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS 2021: 7689-7702 - [i8]Minghao Xu, Hang Wang, Bingbing Ni:
Graphical Modeling for Multi-Source Domain Adaptation. CoRR abs/2104.13057 (2021) - [i7]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. CoRR abs/2106.04113 (2021) - [i6]Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. CoRR abs/2108.07142 (2021) - [i5]Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. CoRR abs/2108.11770 (2021) - 2020
- [c6]Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. AAAI 2020: 6502-6509 - [c5]Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang:
Cross-Domain Detection via Graph-Induced Prototype Alignment. CVPR 2020: 12352-12361 - [c4]Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang:
Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation. ECCV (8) 2020: 727-744 - [i4]Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang:
Cross-domain Detection via Graph-induced Prototype Alignment. CoRR abs/2003.12849 (2020) - [i3]Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang:
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation. CoRR abs/2007.08801 (2020)
2010 – 2019
- 2019
- [c3]Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang:
Learning Context Graph for Person Search. CVPR 2019: 2158-2167 - [c2]Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang:
Variational Few-Shot Learning. ICCV 2019: 1685-1694 - [i2]Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang:
Learning Context Graph for Person Search. CoRR abs/1904.01830 (2019) - [i1]Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. CoRR abs/1912.01805 (2019) - 2018
- [j2]Minghao Xu, Ran Li, Furong Li:
Phase Identification With Incomplete Data. IEEE Trans. Smart Grid 9(4): 2777-2785 (2018) - [j1]Heng Shi, Minghao Xu, Ran Li:
Deep Learning for Household Load Forecasting - A Novel Pooling Deep RNN. IEEE Trans. Smart Grid 9(5): 5271-5280 (2018) - 2015
- [c1]Minghao Xu, Martel Tsirinomeny, Alfred C. Rufer:
A flexible and robust power management mechanism based on single-phase Modular Multilevel Converter with integrated energy storage elements. IECON 2015: 108-117
Coauthor Index
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last updated on 2024-09-26 00:54 CEST by the dblp team
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