Jun Yin
17 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (12) π Conference Polyglot (9) π Academic Marathon (9) π Renaissance Researcher (9)
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Cross-Pollinator
(12)
π
Interdisciplinary Bridge
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Keyword Collector
(81)
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Century Club
(16)
π₯
Unstoppable
(5)
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Prolific Year
(6)
Conferences
AAAI (3)
CVPR (3)
NIPS (3)
ACL (2)
ECCV (2)
EMNLP (1)
ICCV (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
graph neural network
(3)
architectural design
(2)
floor plan generation
(2)
diffusion model
(2)
pretrained language model
(2)
representation learning
(2)
multi-scale feature
(2)
multi-task learning
(1)
reinforcement learning
(1)
dimensionality reduction
(1)
variational inference
(1)
feature extraction
(1)
k-means clustering
(1)
multi-label learning
(1)
spectral clustering
(1)
image generation
(1)
3d reconstruction
(1)
preference alignment
(1)
data augmentation
(1)
knowledge distillation
(1)
Papers
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
AAAI 2026
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
CVPR 2025
EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation
AAAI 2025
ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios
ICCV 2025
FloorPlan-LLaMa: Aligning Architectsβ Feedback and Domain Knowledge in Architectural Floor Plan Generation
ACL 2025
CARD: Cross-modal Agent Framework for Generative and Editable Residential Design
EMNLP 2025
LiteSAM is Actually what you Need for segment Everything
ECCV 2024
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving
AAAI 2024
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis
CVPR 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
NIPS 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
NIPS 2023
Few Shot Rationale Generation using Self-Training with Dual Teachers
ACL 2023
Adaptive Graph Convolutional Subspace Clustering
CVPR 2023
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
NIPS 2023
The CLIPS System for 2022 Spoofing-Aware Speaker Verification Challenge
INTERSPEECH 2022
PG-Net: Pixel to Global Matching Network for Visual Tracking
ECCV 2020
Neural Generative Question Answering
IJCAI 2016