Hu Xu
37 papers · 2016–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (12) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (69)
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Keyword Pioneer
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
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Dynamic Duo
(18)
π§¬
Topic Evolution
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Keyword Champion
(2)
β‘
Prolific Year
(9)
π₯
Unstoppable
(10)
ποΈ
Keyword Collector
(127)
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Century Club
(37)
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Trend Setter
Conferences
EMNLP (13)
NIPS (4)
ACL (3)
ICCV (3)
COLING (2)
CVPR (2)
ICLR (2)
ICML (2)
IJCNLP (2)
NAACL (2)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Keywords
contrastive learning
(5)
transfer learning
(5)
domain adaptation
(4)
representation learning
(4)
zero-shot classification
(3)
continual learning
(3)
zero-shot learning
(3)
self-supervised learning
(3)
language model
(3)
word embedding
(2)
sequence labeling
(2)
aspect extraction
(2)
recurrent neural network
(2)
diffusion model
(2)
knowledge transfer
(2)
convolutional neural network
(2)
task-oriented dialogue
(2)
lifelong learning
(2)
masked autoencoder
(2)
conversational recommendation
(2)
Papers
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
ICML 2025
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
CVPR 2025
Structure Trumps Size: Rethinking Data Quality for LLM Reasoning
EMNLP 2025
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
ICML 2025
Altogether: Image Captioning via Re-aligning Alt-text
EMNLP 2024
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
NIPS 2024
Demystifying CLIP Data
ICLR 2024
MoDE: CLIP Data Experts via Clustering
CVPR 2024
Diffusion Models as Masked Autoencoders
ICCV 2023
CiT: Curation in Training for Effective Vision-Language Data
ICCV 2023
MAViL: Masked Audio-Video Learners
NIPS 2023
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
ICLR 2022
Masked Autoencoders that Listen
NIPS 2022
Continual Training of Language Models for Few-Shot Learning
EMNLP 2022
Adapting a Language Model While Preserving its General Knowledge
EMNLP 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
NAACL 2021
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
ACL 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
EMNLP 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
EMNLP 2021
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
EMNLP 2021
Netmarble AI Centerβs WMT21 Automatic Post-Editing Shared Task Submission
EMNLP 2021
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar
ICCV 2021
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
IJCNLP 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
NIPS 2021
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
COLING 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
EMNLP 2020
Controllable Text Generation with Focused Variation
EMNLP 2020
User Memory Reasoning for Conversational Recommendation
COLING 2020
Robust Keyword Spotting via Recycle-Pooling for Mobile Game
INTERSPEECH 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues
IJCNLP 2019
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
NAACL 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues
EMNLP 2019
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
ACL 2018
Lifelong Domain Word Embedding via Meta-Learning
IJCAI 2018
DOC: Deep Open Classification of Text Documents
EMNLP 2017
Lifelong Learning CRF for Supervised Aspect Extraction
ACL 2017
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets
EMNLP 2016