Xinsong Zhang
12 papers · 2018–2023 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🗃️
Keyword Collector
(50)
💎
Century Club
(12)
🔥
Unstoppable
(6)
🚀
Conference Pioneer
Conferences
ACL (3)
EMNLP (3)
ICML (2)
AAAI (1)
ICLR (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
relation extraction
(4)
distant supervision
(3)
vision-language model
(2)
multimodal learning
(2)
transfer learning
(2)
feature extraction
(1)
multi-label classification
(1)
contrastive learning
(1)
cross-lingual transfer
(1)
noise reduction
(1)
semi-supervised learning
(1)
knowledge distillation
(1)
multi-modal learning
(1)
efficient inference
(1)
out-of-distribution generalization
(1)
efficient computing
(1)
mutual information
(1)
model pruning
(1)
object detection
(1)
benchmark evaluation
(1)
Papers
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
EMNLP 2023
Write and Paint: Generative Vision-Language Models are Unified Modal Learners
ICLR 2023
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
ACL 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
ACL 2023
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
ICML 2022
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
ICML 2022
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
IJCNLP 2021
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
ACL 2021
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
EMNLP 2020
GAN Driven Semi-distant Supervision for Relation Extraction
NAACL 2019
Multi-Labeled Relation Extraction with Attentive Capsule Network
AAAI 2019
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
EMNLP 2018