Linghe Kong
23 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (7)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Academic Marathon
(6)
π
Grand Slam
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π
Conference Pioneer
π₯
Unstoppable
(5)
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(105)
π
Century Club
(22)
Conferences
NIPS (7)
ICLR (4)
AAAI (3)
ICCV (3)
IJCAI (3)
ICML (2)
ACL (1)
Top co-authors
Keywords
image super-resolution
(3)
model compression
(3)
image restoration
(3)
transformer architecture
(2)
diffusion model
(2)
knowledge distillation
(2)
learning to rank
(2)
inference acceleration
(2)
semantic segmentation
(1)
computer vision
(1)
learning theory
(1)
video generation
(1)
self-attention mechanism
(1)
information retrieval
(1)
post-training quantization
(1)
model aggregation
(1)
dynamic routing
(1)
semi-supervised learning
(1)
deep learning
(1)
image reconstruction
(1)
Papers
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
AAAI 2026
QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
ICCV 2025
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
ICCV 2025
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ICLR 2025
RUN: Reversible Unfolding Network for Concealed Object Segmentation
ICML 2025
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
ICML 2025
Multi-player Multi-armed Bandits with Delayed Feedback
IJCAI 2025
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
NIPS 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
IJCAI 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
IJCAI 2024
UrbanDataLayer: A Unified Data Pipeline for Urban Science
NIPS 2024
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
NIPS 2024
Binarized Diffusion Model for Image Super-Resolution
NIPS 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NIPS 2024
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget
ACL 2024
Xformer: Hybrid X-Shaped Transformer for Image Denoising
ICLR 2024
Recursive Generalization Transformer for Image Super-Resolution
ICLR 2024
Dual Aggregation Transformer for Image Super-Resolution
ICCV 2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
NIPS 2023
Accurate Image Restoration with Attention Retractable Transformer
ICLR 2023
Cross Aggregation Transformer for Image Restoration
NIPS 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