Zhiying Jiang
17 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (7) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (42)
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Renaissance Researcher
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Interdisciplinary Bridge
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Academic Marathon
(7)
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Topic Evolution
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Trend Setter
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Century Club
(14)
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Unstoppable
(8)
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The Questioner
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Keyword Collector
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Conferences
AAAI (5)
ACL (4)
EMNLP (3)
CVPR (2)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
diffusion model
(3)
image fusion
(2)
information bottleneck
(2)
few-shot learning
(2)
image restoration
(2)
high dynamic range
(2)
pretrained transformer
(2)
bert model
(1)
text generation
(1)
visual perception
(1)
knowledge distillation
(1)
information retrieval
(1)
text-to-image generation
(1)
feature matching
(1)
domain adaptation
(1)
adversarial training
(1)
video super-resolution
(1)
multi-modal learning
(1)
autonomous driving
(1)
text classification
(1)
Papers
Domain Adaptation Guided Infrared and Visible Image Fusion
AAAI 2026
HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution
AAAI 2026
Conditional Prompt Learning via Degradation Perception for Underwater Image Enhancement
AAAI 2026
DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion
CVPR 2025
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
CVPR 2025
TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion
IJCAI 2025
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
AAAI 2024
Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis
AAAI 2024
βLow-Resourceβ Text Classification: A Parameter-Free Classification Method with Compressors
ACL 2023
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
ACL 2023
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers
ACL 2023
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
NIPS 2022
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks
EMNLP 2021
Document Ranking with a Pretrained Sequence-to-Sequence Model
EMNLP 2020
Inserting Information Bottlenecks for Attribution in Transformers
EMNLP 2020
PaperRobot: Incremental Draft Generation of Scientific Ideas
ACL 2019
Chengyu Cloze Test
NAACL 2018