Wenliang Zhong
17 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Academic Marathon (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(33)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Keyword Champion
π
Conference Pioneer
β‘
Prolific Year
(6)
π
Century Club
(13)
ποΈ
Keyword Collector
(68)
Conferences
AAAI (3)
NIPS (3)
CVPR (2)
ICML (2)
ACL (1)
AISTATS (1)
ECCV (1)
ICCV (1)
MICCAI (1)
MIDL (1)
WACV (1)
Top co-authors
Keywords
convex optimization
(4)
recommendation system
(3)
stochastic gradient descent
(2)
gradient descent
(2)
knowledge distillation
(2)
contrastive learning
(2)
neural network optimization
(2)
representation learning
(1)
stochastic gradient
(1)
federated learning
(1)
zero-shot learning
(1)
image retrieval
(1)
graph classification
(1)
visual question answering
(1)
sample complexity
(1)
stochastic optimization
(1)
convergence analysis
(1)
image captioning
(1)
catastrophic forgetting
(1)
self-supervised learning
(1)
Papers
MΒ²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
AAAI 2026
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
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks
AAAI 2026
Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation
ICCV 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
CVPR 2025
Towards Efficient Replay in Federated Incremental Learning
CVPR 2024
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
ECCV 2024
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
MICCAI 2024
MIVC: Multiple Instance Visual Component for Visual-Language Models
WACV 2024
Identify Then Recommend: Towards Unsupervised Group Recommendation
NIPS 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
NIPS 2024
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NIPS 2022
Multi-slots Online Matching with High Entropy
ICML 2022
Learning Graph Neural Networks with Approximate Gradient Descent
AAAI 2021
Fast Stochastic Alternating Direction Method of Multipliers
ICML 2014
Accelerated Stochastic Gradient Method for Composite Regularization
AISTATS 2014