Minghao Xu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Global Structure

Incomplete Data

Domain Adaptation

Top Venues

Publications

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 (2024)
Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. CoRR (2024)
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 (2024)
Minghao Xu, Hang Wang, Bingbing Ni
Graphical Modeling for Multi-Source Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
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)
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 (2023)
Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. CoRR (2023)
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) (2023)
Lichuan Xiang, Rosco Hunter, Minghao Xu, Lukasz Dudziak, Hongkai Wen
Exploiting Network Compressibility and Topology in Zero-Cost NAS. AutoML (2023)
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)
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 (2023)
Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. ICML (2023)
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)
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)
Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu
HCSC: Hierarchical Contrastive Selective Coding. CoRR (2022)
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) (2022)
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)
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)
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) (2022)
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 (2022)
Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu
HCSC: Hierarchical Contrastive Selective Coding. CVPR (2022)
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)
Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data. CoRR (2022)
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 (2022)
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 (2022)
Zuobai Zhang, Minghao Xu, Arian R. Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
Protein Representation Learning by Geometric Structure Pretraining. CoRR (2022)
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 (2022)
Minghao Xu, Hang Wang, Bingbing Ni
Graphical Modeling for Multi-Source Domain Adaptation. CoRR (2021)
Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang
Cross-category Video Highlight Detection via Set-based Learning. CoRR (2021)
Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS (2021)
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)
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
Self-supervised Graph-level Representation Learning with Local and Global Structure. CoRR (2021)
Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang
Cross-category Video Highlight Detection via Set-based Learning. ICCV (2021)
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
Self-supervised Graph-level Representation Learning with Local and Global Structure. ICML (2021)
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 (2021)
Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang
Cross-domain Detection via Graph-induced Prototype Alignment. CoRR (2020)
Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang
Adversarial Domain Adaptation with Domain Mixup. AAAI (2020)
Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang
Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation. ECCV (8) (2020)
Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation. CoRR (2020)
Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang
Cross-Domain Detection via Graph-Induced Prototype Alignment. CVPR (2020)
Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang
Adversarial Domain Adaptation with Domain Mixup. CoRR (2019)
Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang
Variational Few-Shot Learning. ICCV (2019)
Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
Learning Context Graph for Person Search. CVPR (2019)
Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
Learning Context Graph for Person Search. CoRR (2019)
Minghao Xu, Ran Li, Furong Li
Phase Identification With Incomplete Data. IEEE Trans. Smart Grid 9 (4) (2018)
Heng Shi, Minghao Xu, Ran Li
Deep Learning for Household Load Forecasting - A Novel Pooling Deep RNN. IEEE Trans. Smart Grid 9 (5) (2018)
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)