Weijia Zhang
22 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (7) π Conference Polyglot (10) π Academic Marathon (6) π Renaissance Researcher (8)
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Interdisciplinary Bridge
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Taxonomy Completionist
(49)
π
Conference Polyglot
(10)
π
Keyword Champion
(2)
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Century Club
(21)
ποΈ
Keyword Collector
(96)
π₯
Unstoppable
(7)
β‘
Prolific Year
(8)
Conferences
AAAI (4)
NIPS (4)
EMNLP (3)
ICCV (3)
IJCAI (2)
ACL (1)
AISTATS (1)
ECCV (1)
ICML (1)
IJCNLP (1)
WACV (1)
Top co-authors
Keywords
multi-instance learning
(5)
causal inference
(3)
partial-label learning
(3)
graph neural network
(2)
information fusion
(2)
large language model
(2)
causal representation
(2)
domain generalization
(2)
structural feature
(2)
candidate label set
(2)
knowledge distillation
(2)
semi-supervised learning
(2)
attention mechanism
(2)
representation learning
(2)
weakly supervised learning
(2)
state space model
(2)
data augmentation
(2)
variational inference
(2)
image classification
(2)
graph representation learning
(1)
Papers
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
ACL 2026
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
AISTATS 2025
VRM: Knowledge Distillation via Virtual Relation Matching
ICCV 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
AAAI 2025
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
EMNLP 2025
Cross-Architecture Distillation Made Simple with Redundancy Suppression
ICCV 2025
PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation
ICCV 2025
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
EMNLP 2024
Multi-Instance Partial-Label Learning with Margin Adjustment
NIPS 2024
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
NIPS 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
AAAI 2024
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
ECCV 2024
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
ICML 2024
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
IJCAI 2024
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
WACV 2024
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
NIPS 2023
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
NIPS 2022
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder
IJCAI 2021
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
AAAI 2020
A Deep Neural Information Fusion Architecture for Textual Network Embeddings
IJCNLP 2019
A Deep Neural Information Fusion Architecture for Textual Network Embeddings
EMNLP 2019