Zhiqiang Shen

Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging AAAI 2026 Sparse Subspace Diffusion Model for Physically Consistent Accelerated MRI Reconstruction MIDL 2026 Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation MIDL 2026 LLMSurgeon: Diagnosing Data Mixture of Large Language Models ACL 2026 RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation AAAI 2026 One Last Attention for Your Vision-Language Model ICCV 2025 MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics ICCV 2025 DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation ACL 2025 KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding ACL 2025 ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation MICCAI 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 $\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models ICLR 2025 Learning Graph Invariance by Harnessing Spuriosity ICLR 2025 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NIPS 2024 Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs NIPS 2024 Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NIPS 2024 S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment AAAI 2024 Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation MICCAI 2024 Empowering Graph Invariance Learning with Deep Spurious Infomax ICML 2024 ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy ICML 2024 Initializing Models with Larger Ones ICLR 2024 Elucidating the Design Space of Dataset Condensation NIPS 2024 Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching CVPR 2024 Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos ICCV 2023 Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning AAAI 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery CVPR 2023 PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos CVPR 2023 FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023 Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective NIPS 2023 Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos ICCV 2023 Dropout Reduces Underfitting ICML 2023 Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 A Fast Knowledge Distillation Framework for Visual Recognition ECCV 2022 Sliced Recursive Transformer ECCV 2022 Data-Free Neural Architecture Search via Recursive Label Calibration ECCV 2022 Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning AAAI 2022 Stereo Neural Vernier Caliper AAAI 2022 SDQ: Stochastic Differentiable Quantization with Mixed Precision ICML 2022 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 Contrast and Order Representations for Video Self-Supervised Learning ICCV 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study ICLR 2021 S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Unsupervised Disentanglement of Linear-Encoded Facial Semantics CVPR 2021 Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection CVPR 2021 Conditional Link Prediction of Category-Implicit Keypoint Detection WACV 2021 Soft Anchor-Point Object Detection ECCV 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 MoBiNet: A Mobile Binary Network for Image Classification WACV 2020 ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions ECCV 2020 Online Ensemble Model Compression using Knowledge Distillation ECCV 2020 Transfer Learning for Sequences via Learning to Collocate ICLR 2019 Towards Instance-Level Image-To-Image Translation CVPR 2019 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection ECCV 2018 Weakly Supervised Dense Video Captioning CVPR 2017 Learning Efficient Convolutional Networks Through Network Slimming ICCV 2017 DSOD: Learning Deeply Supervised Object Detectors From Scratch ICCV 2017 Multiple Granularity Descriptors for Fine-Grained Categorization ICCV 2015