Dongsheng Wang
26 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (13)
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Hot Topic Early Bird
🌍
Conference Polyglot
(13)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(14)
🏆
Grand Slam
🔬
Deep Specialist
(10)
🧬
Topic Evolution
⚡
Prolific Year
(6)
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Century Club
(25)
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Unstoppable
(8)
🗃️
Keyword Collector
(134)
Conferences
NIPS (8)
AAAI (2)
ACL (2)
COLING (2)
EMNLP (2)
ICCV (2)
ICML (2)
CVPR (1)
ECCV (1)
ICLR (1)
IJCAI (1)
IJCNLP (1)
UAI (1)
Top co-authors
Keywords
optimal transport
(4)
variational inference
(3)
document representation
(3)
large language model
(3)
prototype learning
(3)
topic model
(3)
recurrent neural network
(2)
conditional transport
(2)
semantic consistency
(2)
language model
(2)
variational autoencoder
(2)
evidence-based verification
(2)
vision-language model
(2)
document understanding
(2)
contrastive learning
(2)
claim verification
(2)
fact checking
(2)
visual question answering
(1)
object detection
(1)
policy gradient
(1)
Papers
Online Multi-Relational Clustering with Dominant View Mining
AAAI 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
TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation
EMNLP 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
IJCAI 2025
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
COLING 2024
Instruction Tuning-free Visual Token Complement for Multimodal LLMs
ECCV 2024
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
UAI 2024
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding
ACL 2024
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing
CVPR 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NIPS 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities
NIPS 2023
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
AAAI 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
Knowledge-Aware Bayesian Deep Topic Model
NIPS 2022
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
NIPS 2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
ICLR 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
NIPS 2022
TopicNet: Semantic Graph-Guided Topic Discovery
NIPS 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
ICML 2021
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
NIPS 2020
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
IJCNLP 2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
EMNLP 2019
HitNet: Hybrid Ternary Recurrent Neural Network
NIPS 2018