← Authors

Yunhe Wang

122 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (116) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (42) πŸ† Grand Slam πŸ”¬ Deep Specialist (44) πŸ‘‘ Triple Crown πŸ† Keyword Champion (40) 🀝 Dynamic Duo (56) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (398) πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (121) ⚑ Prolific Year (19) ❓ The Questioner

Conferences

NIPS (42) CVPR (33) ICML (16) AAAI (9) ECCV (5) IJCAI (5) ICCV (4) ICLR (4) NAACL (3) INTERSPEECH (1)

Top co-authors

Chang Xu (56) Kai Han (50) Yehui Tang (41) Chunjing XU (34) Chao Xu (32) Hanting Chen (31) Xinghao Chen (27) Jianyuan Guo (22) Dacheng Tao (16) Yixing Xu (12)

Keywords

model compression (40) convolutional neural network (19) knowledge distillation (15) efficient computing (14) vision transformer (13) neural network optimization (13) neural architecture search (12) object detection (11) image classification (9) adder neural network (8) model architecture (6) image restoration (5) neural architecture (5) generative adversarial network (5) semantic segmentation (5) energy efficiency (5) large language model (5) domain adaptation (4) semi-supervised learning (4) adversarial robustness (4)

Papers

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection AAAI 2026
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models NAACL 2025
SlimLLM: Accurate Structured Pruning for Large Language Models ICML 2025
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning ICML 2025
DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025
LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025
Mixture of Lookup Experts ICML 2025
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation ICLR 2025
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models ICLR 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts AAAI 2025
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models NAACL 2025
CBQ: Cross-Block Quantization for Large Language Models ICLR 2025
DiJiang: Efficient Large Language Models through Compact Kernelization ICML 2024
Image Processing GNN: Breaking Rigidity in Super-Resolution CVPR 2024
Multiscale Positive-Unlabeled Detection of AI-Generated Texts ICLR 2024
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization ICML 2024
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning ECCV 2024
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation ECCV 2024
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models ECCV 2024
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning ICML 2024
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity CVPR 2024
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks CVPR 2024
Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning NIPS 2024
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting NIPS 2024
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers NIPS 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NIPS 2024
Enhancing Large Language Models through Adaptive Tokenizers NIPS 2024
An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024
Rethinking Optimization and Architecture for Tiny Language Models ICML 2024
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking ICML 2024
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism NIPS 2023
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis CVPR 2023
Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023
Network Expansion for Practical Training Acceleration CVPR 2023
Masked Image Modeling With Local Multi-Scale Reconstruction CVPR 2023
Less is More: Focus Attention for Efficient DETR ICCV 2023
Towards Higher Ranks via Adversarial Weight Pruning NIPS 2023
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation NIPS 2023
VanillaNet: the Power of Minimalism in Deep Learning NIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NIPS 2023
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NIPS 2023
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition NIPS 2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image NIPS 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NIPS 2023
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations INTERSPEECH 2023
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations NIPS 2022
Random Normalization Aggregation for Adversarial Defense NIPS 2022
Accelerating Sparse Convolution with Column Vector-Wise Sparsity NIPS 2022
Redistribution of Weights and Activations for AdderNet Quantization NIPS 2022
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor NIPS 2022
Federated Learning with Positive and Unlabeled Data ICML 2022
Spatial-Channel Token Distillation for Vision MLPs ICML 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention NIPS 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NIPS 2022
Multimodal Token Fusion for Vision Transformers CVPR 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets ECCV 2022
CMT: Convolutional Neural Networks Meet Vision Transformers CVPR 2022
Patch Slimming for Efficient Vision Transformers CVPR 2022
An Image Patch Is a Wave: Phase-Aware Vision MLP CVPR 2022
Instance-Aware Dynamic Neural Network Quantization CVPR 2022
Brain-Inspired Multilayer Perceptron With Spiking Neurons CVPR 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons NIPS 2022
Vision GNN: An Image is Worth Graph of Nodes NIPS 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement CVPR 2022
Source-Free Domain Adaptation via Distribution Estimation CVPR 2022
Distilling Object Detectors via Decoupled Features CVPR 2021
An Empirical Study of Adder Neural Networks for Object Detection NIPS 2021
Towards Stable and Robust AdderNets NIPS 2021
Augmented Shortcuts for Vision Transformers NIPS 2021
Transformer in Transformer NIPS 2021
Handling Long-tailed Feature Distribution in AdderNets NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
Dynamic Resolution Network NIPS 2021
Post-Training Quantization for Vision Transformer NIPS 2021
Neural Architecture Dilation for Adversarial Robustness NIPS 2021
Adversarial Robustness through Disentangled Representations AAAI 2021
One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021
Learning Student Networks in the Wild CVPR 2021
AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021
Pre-Trained Image Processing Transformer CVPR 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Data-Free Knowledge Distillation for Image Super-Resolution CVPR 2021
Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution ICCV 2021
Winograd Algorithm for AdderNet ICML 2021
SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search IJCAI 2020
Adapting Neural Architectures Between Domains NIPS 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020
On Positive-Unlabeled Classification in GAN CVPR 2020
Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer ECCV 2020
Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020
Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020
A Semi-Supervised Assessor of Neural Architectures CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020
GhostNet: More Features From Cheap Operations CVPR 2020
Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020
Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020
Kernel Based Progressive Distillation for Adder Neural Networks NIPS 2020
Positive-Unlabeled Compression on the Cloud NIPS 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019
Crafting Efficient Neural Graph of Large Entropy IJCAI 2019
Attribute Aware Pooling for Pedestrian Attribute Recognition IJCAI 2019
Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019
Data-Free Learning of Student Networks ICCV 2019
Co-Evolutionary Compression for Unpaired Image Translation ICCV 2019
Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018
Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017
Privileged Multi-label Learning IJCAI 2017
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016