Kwang-Ting Cheng

A Study of Finetuning Video Transformers for Multi-view Geometry Tasks AAAI 2026 Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension AAAI 2026 Memory Efficient Transformer Adapter for Dense Predictions ICLR 2025 SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training CVPR 2025 Aligning Medical Images with General Knowledge from Large Language Models MICCAI 2024 DoRA: Weight-Decomposed Low-Rank Adaptation ICML 2024 DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation AAAI 2024 FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness MICCAI 2024 FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity MICCAI 2024 Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024 Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification MICCAI 2024 Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective MICCAI 2024 Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection MICCAI 2024 RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization EMNLP 2024 FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity IJCAI 2023 LLM-FP4: 4-Bit Floating-Point Quantized Transformers EMNLP 2023 Oscillation-free Quantization for Low-bit Vision Transformers ICML 2023 Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning ICCV 2023 Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation NeurIPS 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Data-Free Neural Architecture Search via Recursive Label Calibration ECCV 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022 SDQ: Stochastic Differentiable Quantization with Mixed Precision ICML 2022 Stereo Neural Vernier Caliper AAAI 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 Exploring intermediate representation for monocular vehicle pose estimation CVPR 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study ICLR 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data CVPR 2020 ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions ECCV 2020 Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization NeurIPS 2019 Learning to Film From Professional Human Motion Videos CVPR 2019 MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ICCV 2019 Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm ECCV 2018