Hanting Chen

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers ACL 2026 Multi-Granularity Semantic Revision for Large Language Model Distillation ACL 2026 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution ICLR 2025 CBQ: Cross-Block Quantization for Large Language Models ICLR 2025 DiC: Rethinking Conv3x3 Designs in Diffusion Models CVPR 2025 GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization AAAI 2025 Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution ICLR 2025 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models ICLR 2025 MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles ICML 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 SaD: A Scenario-Aware Discriminator for Speech Enhancement Interspeech 2025 DiJiang: Efficient Large Language Models through Compact Kernelization ICML 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024 Enhancing Large Language Models through Adaptive Tokenizers NeurIPS 2024 Image Processing GNN: Breaking Rigidity in Super-Resolution CVPR 2024 Learning Quantized Adaptive Conditions for Diffusion Models ECCV 2024 Multiscale Positive-Unlabeled Detection of AI-Generated Texts ICLR 2024 PQ-SAM: Post-training Quantization for Segment Anything Model ECCV 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NeurIPS 2024 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image NeurIPS 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NeurIPS 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis CVPR 2023 Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023 Towards Higher Ranks via Adversarial Weight Pruning NeurIPS 2023 VanillaNet: the Power of Minimalism in Deep Learning NeurIPS 2023 Brain-Inspired Multilayer Perceptron With Spiking Neurons CVPR 2022 Federated Learning with Positive and Unlabeled Data ICML 2022 Adder Attention for Vision Transformer NeurIPS 2021 AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021 Data-Free Knowledge Distillation for Image Super-Resolution CVPR 2021 Learning Student Networks in the Wild CVPR 2021 Pre-Trained Image Processing Transformer CVPR 2021 Winograd Algorithm for AdderNet ICML 2021 AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 Co-Evolutionary Compression for Unpaired Image Translation ICCV 2019 Crafting Efficient Neural Graph of Large Entropy IJCAI 2019 Data-Free Learning of Student Networks ICCV 2019 LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019 Positive-Unlabeled Compression on the Cloud NeurIPS 2019