Jing Wang
126 papers · 2006–2026 · 26 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 48 separate collaboration groups - the largest holds only 12% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jing Wang?
26 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xin Geng, Fu Feng, Yucheng Xie
15 papers
· 2019–2026
· CVPR, AAAI, IJCAI
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Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation
CVPR 2026
DivControl: Knowledge Diversion for Controllable Image Generation
AAAI 2026
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
CVPR 2026
Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint)
AAAI 2026
KIND: Knowledge Integration and Diversion for Training Decomposable Models
ICML 2025
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
IJCAI 2025
Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
CVPR 2025
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
CVPR 2025
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NeurIPS 2024
Exploiting Multi-Label Correlation in Label Distribution Learning
IJCAI 2024
Imbalanced Label Distribution Learning
AAAI 2023
Label Distribution Learning Machine
ICML 2021
Learn the Highest Label and Rest Label Description Degrees
IJCAI 2021
Classification with Label Distribution Learning
IJCAI 2019
Theoretical Analysis of Label Distribution Learning
AAAI 2019
22 papers whose co-authors appear nowhere else under this name
CADC: Content Adaptive Diffusion-Based Generative Image Compression
CVPR 2026
Error Analyses of Auto-Regressive Video Diffusion Models
JMLR 2026
MOFA-VTON: More Fashion Possibilities with Fine-Grained Adaptations in Virtual Try-On
CVPR 2026
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
ICML 2025
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework
AAAI 2025
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
ICCV 2025
Online Video Understanding: OVBench and VideoChat-Online
CVPR 2025
SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition
ICCV 2025
AFBench: A Large-scale Benchmark for Airfoil Design
NeurIPS 2024
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
ECCV 2024
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI
SemEval 2024
Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection
MICCAI 2024
Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI
MICCAI 2024
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
NeurIPS 2024
A no-reference speech quality assessment method based on neural network with densely connected convolutional architecture
Interspeech 2023
MSAF: A Multiple Self-Attention Field Method for Speech Enhancement
Interspeech 2023
Knowledge Consistency between Neural Networks and Beyond
ICLR 2020
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
AAAI 2020
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
IJCAI 2019
Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data
CVPR 2016
Fast Neighborhood Graph Search Using Cartesian Concatenation
ICCV 2013
MLLE: Modified Locally Linear Embedding Using Multiple Weights
NeurIPS 2006