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Minghao Xu
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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) - [c21]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 - [c20]Kun Xu, Minghao Xu, Yuanyang Cui, Gang Liu, Wei Lou, Jiawei Chen, Qikai Li, Cheng Chen, Long Li, Xilun Ding:
Locomotion Control of Biped Robot with Foot Described on SE(3). ICARM 2024: 783-788 - [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 2024-12-04 21:08 CET by the dblp team
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