Wenhui Wang
29 papers · 2016–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(22)
π§¬
Topic Evolution
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Grand Slam
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
ποΈ
Keyword Collector
(119)
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(20)
Machine Learning
(19)
Natural Language Processing
(14)
Application Areas
(10)
Architectures
(10)
Artificial Intelligence
(9)
Core AI
(9)
Learning Types Β· Deep Learning
(9)
Resources & Methods
(9)
Learning Types Β· Machine Learning
(8)
Techniques
(8)
Core Methods
(7)
Applications
(5)
Models
(5)
Computer Vision
(3)
Keywords
multimodal learning
(5)
model compression
(4)
large language model
(4)
question answering
(4)
knowledge distillation
(4)
transformer architecture
(4)
language model
(3)
pre-trained language model
(3)
vision-language model
(3)
machine reading comprehension
(2)
transfer learning
(2)
unsupervised learning
(2)
reading comprehension
(2)
question generation
(2)
cross-lingual transfer
(2)
attention mechanism
(2)
natural language generation
(2)
event camera
(2)
few-shot learning
(2)
visual question answering
(2)
Papers
Adaptive Spatial-Temporal Window: Unlocking the Potential of Event Cameras in Heterogeneous Velocity Scenarios
CVPR 2026
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
AAAI 2026
BitNet: 1-bit Pre-training for Large Language Models
JMLR 2025
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
COLING 2025
Grounding Multimodal Large Language Models to the World
ICLR 2024
Multi-Head Mixture-of-Experts
NeurIPS 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
NeurIPS 2024
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks
CVPR 2023
Language Is Not All You Need: Aligning Perception with Language Models
NeurIPS 2023
Magneto: A Foundation Transformer
ICML 2023
Distilled Dual-Encoder Model for Vision-Language Understanding
EMNLP 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NeurIPS 2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
CVPR 2022
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
NeurIPS 2022
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains
ACL 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
ACL 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
NAACL 2021
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
ACL 2021
Cross-Lingual Natural Language Generation via Pre-Training
AAAI 2020
Harvesting and Refining Question-Answer Pairs for Unsupervised QA
ACL 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
NeurIPS 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
ICML 2020
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension
EMNLP 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
ACL 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation
NeurIPS 2019
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
EMNLP 2018
Multiway Attention Networks for Modeling Sentence Pairs
IJCAI 2018
Gated Self-Matching Networks for Reading Comprehension and Question Answering
ACL 2017
Graph-based Dependency Parsing with Bidirectional LSTM
ACL 2016