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portfolio
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publications
Learning Context Graph for Person Search
Published in CVPR, 2019 (Oral)
Authors: Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
In this work, we build a graph learning framework to employ context information for person search.
Variational Few-Shot Learning
Published in ICCV, 2019
Authors: Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang
In this work, we propose a variational Bayesian framework to approximate bias-eliminated class specific sample distributions for few-shot learning.
Fine-grained Video Captioning via Graph-based Multi-granularity Interaction Learning
Published in TPAMI, 2019
Authors: Yichao Yan, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zhang Zheng, Shuo Cheng, Qi Tian, Xiaokang Yang, Wenjun Zhang
In this work, we collect a new video dataset from YouTube.com, called Sports Video Narrative (SVN), for fine-grained sports auto-narrative. Also, we propose a novel framework to encode both intra- and inter- team interactions.
Adversarial Domain Adaptation with Domain Mixup
Published in AAAI, 2020 (Oral)
Authors: Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang
In this work, we propose to promote adversarial domain adaptation with both pixel-level and feature-level domain mixup.
Cross-domain Detection via Graph-induced Prototype Alignment
Published in CVPR, 2020 (Oral)
Authors: Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang
In this work, we propose a Graph-induced Prototype Alignment (GPA) framework to align source and target domain for cross-domain detection tasks.
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Published in ECCV, 2020
Authors: Hang Wang*, Minghao Xu*, Bingbing Ni, Wenjun Zhang (* equal contribution)
In this work, we propose a Learning to Combine framework, in which the knowledges acquired from multiple source domains are aggregated and applied to the target domain.
Self-supervised Graph-level Representation Learning with Local and Global Structure
Published in ICML, 2021
Authors: Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
Cross-category Video Highlight Detection via Set-based Learning
Published in ICCV, 2021
Authors: Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Published in ICCV, 2021
Authors: Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Published in NeurIPS, 2021
Authors: Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
Graphical Modeling for Multi-Source Domain Adaptation
Published in TPAMI, 2022
Authors: Minghao Xu, Hang Wang, Bingbing Ni
In this work, we propose a Conditional Random Field (CRF) method and another Markov Random Field (MRF) method to solve the Multi-Source Domain Adaptation problem.
HIRL: A General Framework for Hierarchical Image Representation Learning
Published in arXiv, 2022
Authors: Minghao Xu*, Yuanfan Guo*, Xuanyu Zhu, Jiawen Li, Zhenbang Sun, Jian Tang, Yi Xu, Bingbing Ni (* equal contribution)
HCSC: Hierarchical Contrastive Selective Coding
Published in CVPR, 2022
Authors: Yuanfan Guo*, Minghao Xu*, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu (* equal contribution)
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
Published in NeurIPS, 2022
Authors: Minghao Xu*, Zuobai Zhang*, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang (* equal contribution)
EurNet: Efficient Multi-Range Relational Modeling of Protein Structure
Published in ICLR MLDD Workshop, 2023
Authors: Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian
Protein Representation Learning by Geometric Structure Pretraining
Published in ICLR, 2023
Authors: Zuobai Zhang, Minghao Xu, Arian Jamasb, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
Published in ICML, 2023 (Oral)
Authors: Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
Published in NeurIPS, 2023 (Spotlight)
Authors: Zuobai Zhang*, Minghao Xu*, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang (* equal contribution)
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
Published in ACL, 2024
Authors: Le Zhuo*, Zewen Chi*, Minghao Xu*, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang (* equal contribution)
talks
Oral presentation for Adversarial Domain Adaptation with Domain Mixup
Published in AAAI, 2020
This is a remote talk on the AAAI 2020 conference. In this work, we propose to promote adversarial domain adaptation with both pixel-level and feature-level domain mixup.
Oral presentation for Cross-domain Detection via Graph-induced Prototype Alignment
Published in CVPR, 2020
This is a remote talk on the CVPR 2020 conference. In this work, we propose a Graph-induced Prototype Alignment (GPA) framework to align source and target domain for cross-domain detection tasks.
Poster presentation for Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Published in ECCV, 2020
This is a remote talk on the ECCV 2020 conference. In this work, we propose a Learning to Combine framework, in which the knowledges acquired from multiple source domains are aggregated and applied to the target domain.
Poster presentation for Self-supervised Graph-level Representation Learning with Local and Global Structure
Published in ICML, 2021
This is a remote talk on the ICML 2021 conference. In this work, we propose a principled framework to learn both the local-instance and global-semantic structure of graph representations in a self-supervised way.
teaching
Teaching experience 1
Published in University 1, Department, 2014
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Teaching experience 2
Published in University 1, Department, 2015
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