Chenchen Jing
21 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (13)
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Conference Polyglot
(9)
🏃
Academic Marathon
(5)
🐝
Cross-Pollinator
(13)
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Keyword Champion
(5)
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Topic Evolution
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Unstoppable
(5)
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Century Club
(18)
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Prolific Year
(6)
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Keyword Collector
(82)
Conferences
AAAI (5)
CVPR (3)
ICCV (3)
NIPS (3)
ACL (2)
ECCV (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
visual question answering
(6)
compositional zero-shot learning
(5)
in-context learning
(4)
compositional generalization
(4)
vision-language model
(3)
semantic segmentation
(3)
representation learning
(3)
few-shot learning
(2)
image segmentation
(2)
primitive representation
(2)
diffusion language model
(2)
in-context segmentation
(2)
multimodal learning
(2)
attribute-object composition
(2)
attention mechanism
(1)
self-supervised learning
(1)
reinforcement learning
(1)
uncertainty quantification
(1)
prompt learning
(1)
object recognition
(1)
Papers
Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models
ACL 2026
Composition-Incremental Learning for Compositional Generalization
AAAI 2026
Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration
ACL 2026
Unified Open-World Segmentation with Multi-Modal Prompts
ICCV 2025
Consistency of Compositional Generalization Across Multiple Levels
AAAI 2025
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning
IJCAI 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
NAACL 2025
PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
ICLR 2025
Learning Visual Proxy for Compositional Zero-Shot Learning
ICCV 2025
Compositional Substitutivity of Visual Reasoning for Visual Question Answering
ECCV 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
NIPS 2024
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
NIPS 2024
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
AAAI 2024
A Simple Image Segmentation Framework via In-Context Examples
NIPS 2024
In-Context Compositional Generalization for Large Vision-Language Models
EMNLP 2024
SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning
ICCV 2023
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language
CVPR 2023
Learning Conditional Attributes for Compositional Zero-Shot Learning
CVPR 2023
Maintaining Reasoning Consistency in Compositional Visual Question Answering
CVPR 2022
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
AAAI 2022
Overcoming Language Priors in VQA via Decomposed Linguistic Representations
AAAI 2020