Yunhe Wang

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection AAAI 2026 Multi-Granularity Semantic Revision for Large Language Model Distillation ACL 2026 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models ICLR 2025 DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025 CBQ: Cross-Block Quantization for Large Language Models ICLR 2025 LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025 SlimLLM: Accurate Structured Pruning for Large Language Models ICML 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025 DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation ICLR 2025 Mixture of Lookup Experts ICML 2025 Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning ICML 2025 EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models NAACL 2025 Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts AAAI 2025 CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models NAACL 2025 SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization ICML 2024 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning ICML 2024 ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking 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 An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024 Image Processing GNN: Breaking Rigidity in Super-Resolution 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 Rethinking Optimization and Architecture for Tiny Language Models 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 Multiscale Positive-Unlabeled Detection of AI-Generated Texts ICLR 2024 DiJiang: Efficient Large Language Models through Compact Kernelization 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 Brain-Inspired Multilayer Perceptron With Spiking Neurons CVPR 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 Source-Free Domain Adaptation via Distribution Estimation 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 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 Multimodal Token Fusion for Vision Transformers CVPR 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 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 Adapting Neural Architectures Between Domains NIPS 2020 Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020 Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search IJCAI 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 On Positive-Unlabeled Classification in GAN CVPR 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 Data-Free Learning of Student Networks ICCV 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 Positive-Unlabeled Compression on the Cloud NIPS 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