Dong Zhou
16 papers · 2009–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Full 𧬠Topic Evolution
ποΈ
Keyword Collector
(69)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Natural Language Processing
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(4)
Application Areas
(4)
Applications
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Generation Β· Natural Language Processing
(2)
Generation Β· Computer Vision
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Keywords
contrastive learning
(3)
vision-language model
(2)
retrieval-augmented generation
(2)
zero-shot learning
(1)
sentiment analysis
(1)
text classification
(1)
manifold learning
(1)
data augmentation
(1)
multi-label classification
(1)
aspect sentiment
(1)
egocentric vision
(1)
text-to-image generation
(1)
legal case retrieval
(1)
deep learning
(1)
sequential decision
(1)
local tangent space
(1)
semantic space
(1)
algorithmic trading
(1)
low-resource language
(1)
video generation
(1)
Papers
Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos
CVPR 2026
Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models
IJCAI 2025
ReNeg: Learning Negative Embedding with Reward Guidance
CVPR 2025
Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models
COLING 2025
A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information
ACML 2024
Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning
ACML 2024
HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization
ACML 2024
MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures
ACML 2024
An Effective Deployment of Contrastive Learning in Multi-label Text Classification
ACL 2023
Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
IJCAI 2022
Universal Trading for Order Execution with Oracle Policy Distillation
AAAI 2021
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information
COLING 2020
Enhanced Personalized Search using Social Data
EMNLP 2016
Raising the Bar for Using GPUs in Software Packet Processing
NSDI 2015
Dual-Space Re-ranking Model for Document Retrieval
COLING 2010
Latent Document Re-Ranking
EMNLP 2009