Wenliang Zhong
19 papers · 2014–2026 · 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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🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Half 💎 Century Club · Bronze
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Keyword Collector
(91)
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Prolific Year · Productive
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Conference Pioneer
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Renaissance Researcher
(7)
Venues
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Research topics
Machine Learning
(13)
Artificial Intelligence
(8)
Core AI
(7)
Deep Learning
(6)
Learning Types · Machine Learning
(6)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Mathematics & Optimization
(4)
Application Areas
(4)
Optimization
(4)
Learning Types · Deep Learning
(3)
Natural Language Processing
(2)
Applications
(2)
Learning Paradigms
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
convex optimization
(4)
recommendation system
(3)
representation learning
(2)
stochastic gradient descent
(2)
contrastive learning
(2)
neural network optimization
(2)
graph neural network
(2)
gradient descent
(2)
zero-shot learning
(2)
knowledge distillation
(2)
graph classification
(1)
image retrieval
(1)
information bottleneck
(1)
visual question answering
(1)
unsupervised learning
(1)
convergence analysis
(1)
stochastic gradient
(1)
image captioning
(1)
multimodal learning
(1)
self-supervised learning
(1)
Papers
Guideline-Informed MLLM Reasoning for Pathology-Aware Postoperative Prostate CTV Segmentation
MIDL 2026
Guidelines as Environments: A World Model Approach to Rule Following
ACL 2026
Hyperbolic Gramian Volumes for Multimodal Alignment
CVPR 2026
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks
AAAI 2026
M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
AAAI 2026
Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent
CVPR 2026
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
CVPR 2025
Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation
ICCV 2025
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
ECCV 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
NeurIPS 2024
Identify Then Recommend: Towards Unsupervised Group Recommendation
NeurIPS 2024
MIVC: Multiple Instance Visual Component for Visual-Language Models
WACV 2024
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
MICCAI 2024
Towards Efficient Replay in Federated Incremental Learning
CVPR 2024
Multi-slots Online Matching with High Entropy
ICML 2022
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NeurIPS 2022
Learning Graph Neural Networks with Approximate Gradient Descent
AAAI 2021
Accelerated Stochastic Gradient Method for Composite Regularization
AISTATS 2014
Fast Stochastic Alternating Direction Method of Multipliers
ICML 2014