Dongsheng Wang
28 papers · 2018–2026 · 12 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 (63) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(14)
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Grand Slam
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Deep Specialist
(11)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(157)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(13)
Core Methods
(13)
Core AI
(12)
Deep Learning
(10)
Natural Language Processing
(10)
Computer Vision
(8)
Applications
(8)
Learning Types Β· Machine Learning
(8)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Models
(5)
Optimization & Theory
(5)
Analysis
(4)
Generation
(4)
Keywords
optimal transport
(5)
document representation
(4)
large language model
(4)
prototype learning
(3)
topic model
(3)
variational inference
(3)
vision-language model
(3)
conditional transport
(2)
prompt tuning
(2)
topic embedding
(2)
recurrent neural network
(2)
bayesian inference
(2)
variational autoencoder
(2)
semantic consistency
(2)
topic modeling
(2)
document understanding
(2)
language model
(2)
contrastive learning
(2)
object detection
(1)
multi-task learning
(1)
Papers
Improving Sparse Autoencoder with Dynamic Attention
CVPR 2026
Online Multi-Relational Clustering with Dominant View Mining
AAAI 2026
PhysInOne: Visual Physics Learning and Reasoning in One Suite
CVPR 2026
STiTch: Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot Composed Image Retrieval
CVPR 2026
BuDDIE: A Business Document Dataset for Multi-task Information Extraction
COLING 2025
CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation
ACL 2025
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
IJCAI 2025
TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation
EMNLP 2025
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding
ACL 2024
Instruction Tuning-free Visual Token Complement for Multimodal LLMs
ECCV 2024
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
COLING 2024
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
UAI 2024
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing
CVPR 2023
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
AAAI 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NeurIPS 2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
ICCV 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series
ICML 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities
NeurIPS 2023
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
NeurIPS 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
NeurIPS 2022
Knowledge-Aware Bayesian Deep Topic Model
NeurIPS 2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
ICLR 2022
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
ICML 2021
TopicNet: Semantic Graph-Guided Topic Discovery
NeurIPS 2021
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
NeurIPS 2020
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
EMNLP 2019
HitNet: Hybrid Ternary Recurrent Neural Network
NeurIPS 2018