Jia Wang
28 papers · 2010–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π Interdisciplinary Bridge π Conference Polyglot (13) π Academic Marathon (15) πΊοΈ Taxonomy Completionist (66)
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Keyword Pioneer
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Conference Polyglot
(13)
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Topic Evolution
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Conference Pioneer
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Century Club
(24)
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Prolific Year
(8)
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Unstoppable
(7)
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Keyword Collector
(131)
Conferences
AAAI (12)
ACL (2)
COLING (2)
CVPR (2)
IJCAI (2)
ACML (1)
ECCV (1)
EMNLP (1)
ICCV (1)
ICLR (1)
NIPS (1)
UAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
representation learning
(2)
contrastive learning
(2)
generative adversarial network
(2)
generative model
(2)
attention mechanism
(2)
transfer learning
(2)
image registration
(2)
diffusion model
(2)
large language model
(2)
density estimation
(2)
active learning
(1)
reinforcement learning
(1)
benchmark evaluation
(1)
few-shot learning
(1)
one-shot learning
(1)
wasserstein distance
(1)
3d reconstruction
(1)
learning theory
(1)
federated learning
(1)
compressive sensing
(1)
Papers
From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
AAAI 2026
Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation
AAAI 2026
Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation
AAAI 2026
A Hybrid Space Model for Misaligned Multi-modality Image Fusion
AAAI 2026
Information Density Principle for MLLM Benchmarks
ICCV 2025
DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension
AAAI 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
AAAI 2025
TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning
ACL 2025
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving
IJCAI 2025
On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation
ICLR 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models
EMNLP 2025
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
UAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
AAAI 2024
Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition
ACML 2024
Document Set Expansion with Positive-Unlabeled Learning Using Intractable Density Estimation
COLING 2024
SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification
COLING 2024
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
CVPR 2024
Beta-Tuned Timestep Diffusion Model
ECCV 2024
WalkFormer: Point Cloud Completion via Guided Walks
WACV 2024
Certifiable Out-of-Distribution Generalization
AAAI 2023
A Multi-Factor Classification Framework for Completing Usersβ Fuzzy Queries (Student Abstract)
AAAI 2022
SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract)
AAAI 2022
Bounds all around: training energy-based models with bidirectional bounds
NIPS 2021
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
CVPR 2020
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
IJCAI 2019
Understanding VAEs in Fisher-Shannon Plane
AAAI 2019
Recommendation in Internet Forums and Blogs
ACL 2010