← Authors

Minghao Xu

20 papers · 2019–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (40) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (20) πŸ—ƒοΈ Keyword Collector (81)

Conferences

CVPR (3) ICCV (3) ICML (3) NIPS (3) ICLR (2) AAAI (1) ACL (1) AUTOML (1) COLING (1) ECCV (1) EMNLP (1)

Top co-authors

Bingbing Ni (9) Jian Tang (8) Hang Wang (4) Wentao Zhang (3) Wenjun Zhang (3) Zuobai Zhang (3) Jian Zhang (2) Payel Das (2) Xiaokang Yang (2) Zhenbang Sun (2)

Keywords

representation learning (4) domain adaptation (3) prototype learning (3) graph neural network (3) protein language model (3) zero-shot learning (2) multi-modal learning (2) object detection (2) multimodal learning (2) contrastive learning (2) variational inference (1) image generation (1) few-shot learning (1) semantic segmentation (1) feature learning (1) self-supervised learning (1) multi-task learning (1) adversarial learning (1) graph learning (1) object recognition (1)

Papers

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training ICML 2025
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning ICLR 2025
AI for Science in the Era of Large Language Models EMNLP 2024
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training ACL 2024
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts ICML 2023
Protein Representation Learning by Geometric Structure Pretraining ICLR 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction NIPS 2023
Exploiting Network Compressibility and Topology in Zero-Cost NAS AUTOML 2023
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding NIPS 2022
KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context Features COLING 2022
HCSC: Hierarchical Contrastive Selective Coding CVPR 2022
Joint Modeling of Visual Objects and Relations for Scene Graph Generation NIPS 2021
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation ICCV 2021
Cross-Category Video Highlight Detection via Set-Based Learning ICCV 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure ICML 2021
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation ECCV 2020
Cross-Domain Detection via Graph-Induced Prototype Alignment CVPR 2020
Adversarial Domain Adaptation with Domain Mixup AAAI 2020
Variational Few-Shot Learning ICCV 2019
Learning Context Graph for Person Search CVPR 2019