Yiran Zhong
34 papers · 2016–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (57) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
🤝
Dynamic Duo
(14)
🏆
Grand Slam
👑
Triple Crown
⚡
Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Conference Pioneer
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Keyword Collector
(158)
Top co-authors
Research topics
Deep Learning
(21)
Machine Learning
(20)
Computer Vision
(16)
Artificial Intelligence
(15)
Core AI
(15)
Learning Types · Deep Learning
(14)
Optimization & Theory
(11)
Analysis
(10)
Architectures
(9)
Processing
(7)
Core Methods
(6)
Application Areas
(5)
Learning Types · Machine Learning
(5)
Models
(5)
Natural Language Processing
(4)
Keywords
multimodal learning
(7)
depth estimation
(5)
language modeling
(5)
optical flow
(5)
sequence modeling
(4)
attention mechanism
(4)
linear attention
(4)
optical flow estimation
(3)
stereo matching
(3)
motion estimation
(3)
video understanding
(3)
transformer architecture
(3)
linear complexity
(2)
visual slam
(2)
state space model
(2)
audio-visual learning
(2)
3d vision
(2)
semantic segmentation
(2)
3d reconstruction
(2)
unsupervised learning
(2)
Papers
Learning Spatial Decay for Vision Transformers
AAAI 2026
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
AAAI 2025
Towards Open-Vocabulary Audio-Visual Event Localization
CVPR 2025
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control
AAAI 2025
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
ICLR 2024
Exploring Transformer Extrapolation
AAAI 2024
Improving Audio-Visual Segmentation with Bidirectional Generation
AAAI 2024
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing
ECCV 2024
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
NeurIPS 2024
Scaling Laws for Linear Complexity Language Models
EMNLP 2024
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
ICML 2024
Accelerating Toeplitz Neural Network with Constant-time Inference Complexity
EMNLP 2023
Fine-Grained Audible Video Description
CVPR 2023
Hierarchically Gated Recurrent Neural Network for Sequence Modeling
NeurIPS 2023
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
CVPR 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
ICCV 2023
Toeplitz Neural Network for Sequence Modeling
ICLR 2023
Audio—Visual Segmentation
ECCV 2022
cosFormer: Rethinking Softmax In Attention
ICLR 2022
Implicit Motion Handling for Video Camouflaged Object Detection
CVPR 2022
The Devil in Linear Transformer
EMNLP 2022
Transcribing Natural Languages for the Deaf via Neural Editing Programs
AAAI 2022
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
CVPR 2021
Deep Two-View Structure-From-Motion Revisited
CVPR 2021
Positive Sample Propagation Along the Audio-Visual Event Line
CVPR 2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
ICCV 2021
Deblurring by Realistic Blurring
CVPR 2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
NeurIPS 2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
NeurIPS 2020
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
CVPR 2019
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
CVPR 2019
Open-World Stereo Video Matching with Deep RNN
ECCV 2018
Stereo Computation for a Single Mixture Image
ECCV 2018
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach
CVPR 2016