Changhua Meng
21 papers · 2022–2026 · 10 venues · across top CS/AI venues
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Machine Learning
(14)
Deep Learning
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Learning Types Β· Machine Learning
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Artificial Intelligence
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Learning Types Β· Deep Learning
(9)
Natural Language Processing
(6)
Computer Vision
(5)
Core Methods
(5)
Optimization & Theory
(5)
Reinforcement Learning
(3)
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Application Areas
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Keywords
reinforcement learning
(4)
contrastive learning
(3)
graph neural network
(3)
vision-language model
(3)
adversarial robustness
(2)
self-supervised learning
(2)
retrieval-augmented generation
(2)
gui grounding
(2)
spiking neural network
(2)
dynamic graph
(2)
text editing
(1)
attention mechanism
(1)
semi-supervised learning
(1)
graph representation learning
(1)
lottery ticket hypothesis
(1)
direct preference optimization
(1)
document understanding
(1)
open-vocabulary detection
(1)
preference optimization
(1)
named entity recognition
(1)
Papers
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
AAAI 2026
GUI-GΒ²: Gaussian Reward Modeling for GUI Grounding
AAAI 2026
GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning
CVPR 2026
MVP: Multiple View Prediction Improves GUI Grounding
CVPR 2026
The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination
ACL 2026
Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled Preference Optimization
CVPR 2026
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
ACL 2025
Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models
NAACL 2025
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
EMNLP 2025
Adversarial Robust Safeguard for Evading Deep Facial Manipulation
AAAI 2024
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
ICLR 2024
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training
COLING 2024
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
EMNLP 2024
Backpropagation Path Search On Adversarial Transferability
ICCV 2023
DiffUTE: Universal Text Editing Diffusion Model
NeurIPS 2023
Mobile User Interface Element Detection via Adaptively Prompt Tuning
CVPR 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
IJCAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network
AAAI 2023
A2: Efficient Automated Attacker for Boosting Adversarial Training
NeurIPS 2022
XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding
CVPR 2022