Linghe Kong
25 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (48) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(2)
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(13)
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Conference Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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Research topics
Deep Learning
(15)
Machine Learning
(15)
Computer Vision
(13)
Application Areas
(10)
Processing
(10)
Artificial Intelligence
(7)
Architectures
(7)
Core AI
(7)
Models
(7)
Optimization & Theory Β· Machine Learning
(5)
Optimization & Theory Β· Deep Learning
(5)
Computer Science
(4)
Core Methods
(3)
Techniques
(3)
Data Science & Analytics
(2)
Keywords
image super-resolution
(5)
model compression
(5)
image restoration
(4)
learning to rank
(2)
transformer architecture
(2)
knowledge distillation
(2)
neural network
(2)
diffusion model
(2)
compression ratio
(2)
large language model
(2)
image denoising
(2)
inference acceleration
(2)
post-training quantization
(2)
attention mechanism
(1)
video generation
(1)
semantic segmentation
(1)
computer vision
(1)
learning theory
(1)
self-attention mechanism
(1)
image reconstruction
(1)
Papers
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
AAAI 2026
AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models
CVPR 2026
Diagnosing and Repairing Distributed Routing Configurations Using Selective Symbolic Simulation
NSDI 2026
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ICLR 2025
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
ICML 2025
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
ICCV 2025
Multi-player Multi-armed Bandits with Delayed Feedback
IJCAI 2025
QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
ICCV 2025
RUN: Reversible Unfolding Network for Concealed Object Segmentation
ICML 2025
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NeurIPS 2024
Binarized Diffusion Model for Image Super-Resolution
NeurIPS 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
NeurIPS 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
IJCAI 2024
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
NeurIPS 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
IJCAI 2024
Recursive Generalization Transformer for Image Super-Resolution
ICLR 2024
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget
ACL 2024
UrbanDataLayer: A Unified Data Pipeline for Urban Science
NeurIPS 2024
Xformer: Hybrid X-Shaped Transformer for Image Denoising
ICLR 2024
Accurate Image Restoration with Attention Retractable Transformer
ICLR 2023
Dual Aggregation Transformer for Image Super-Resolution
ICCV 2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
NeurIPS 2023
Cross Aggregation Transformer for Image Restoration
NeurIPS 2022
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging
AAAI 2020
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface
AAAI 2019