Hanting Chen
41 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Cross-Pollinator (9) π Conference Polyglot (8) π§ Keyword Pioneer π Renaissance Researcher (7)
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Renaissance Researcher
(7)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(55)
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Deep Specialist
(12)
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Triple Crown
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Grand Slam
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Dynamic Duo
(31)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(140)
π₯
Unstoppable
(7)
β
The Questioner
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Century Club
(39)
Conferences
CVPR (14)
NIPS (8)
ICLR (5)
ICML (5)
AAAI (2)
ACL (2)
ECCV (2)
ICCV (2)
IJCAI (1)
Top co-authors
Keywords
model compression
(13)
knowledge distillation
(7)
convolutional neural network
(6)
efficient computing
(4)
neural network optimization
(4)
generative adversarial network
(4)
image restoration
(4)
vision transformer
(3)
student network
(3)
adder neural network
(3)
diffusion model
(2)
energy efficiency
(2)
binary classification
(2)
generative model
(2)
image generation
(2)
image super-resolution
(2)
semi-supervised learning
(2)
network pruning
(2)
model architecture
(2)
image translation
(2)
Papers
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
ACL 2026
Multi-Granularity Semantic Revision for Large Language Model Distillation
ACL 2026
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
CVPR 2025
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
ICML 2025
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
ICLR 2025
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
ICLR 2025
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
ICLR 2025
CBQ: Cross-Block Quantization for Large Language Models
ICLR 2025
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
AAAI 2025
DiC: Rethinking Conv3x3 Designs in Diffusion Models
CVPR 2025
Learning Quantized Adaptive Conditions for Diffusion Models
ECCV 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
NIPS 2024
Enhancing Large Language Models through Adaptive Tokenizers
NIPS 2024
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
CVPR 2024
Image Processing GNN: Breaking Rigidity in Super-Resolution
CVPR 2024
PQ-SAM: Post-training Quantization for Segment Anything Model
ECCV 2024
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
ICLR 2024
DiJiang: Efficient Large Language Models through Compact Kernelization
ICML 2024
Towards Higher Ranks via Adversarial Weight Pruning
NIPS 2023
Toward Accurate Post-Training Quantization for Image Super Resolution
CVPR 2023
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis
CVPR 2023
VanillaNet: the Power of Minimalism in Deep Learning
NIPS 2023
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
NIPS 2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
NIPS 2023
Brain-Inspired Multilayer Perceptron With Spiking Neurons
CVPR 2022
Federated Learning with Positive and Unlabeled Data
ICML 2022
Learning Student Networks in the Wild
CVPR 2021
AdderSR: Towards Energy Efficient Image Super-Resolution
CVPR 2021
Pre-Trained Image Processing Transformer
CVPR 2021
Data-Free Knowledge Distillation for Image Super-Resolution
CVPR 2021
Winograd Algorithm for AdderNet
ICML 2021
Adder Attention for Vision Transformer
NIPS 2021
AdderNet: Do We Really Need Multiplications in Deep Learning?
CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks
CVPR 2020
Distilling Portable Generative Adversarial Networks for Image Translation
AAAI 2020
A Semi-Supervised Assessor of Neural Architectures
CVPR 2020
Positive-Unlabeled Compression on the Cloud
NIPS 2019
Data-Free Learning of Student Networks
ICCV 2019
Crafting Efficient Neural Graph of Large Entropy
IJCAI 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters
ICML 2019
Co-Evolutionary Compression for Unpaired Image Translation
ICCV 2019