Zhiqiang Shen

BiGain: Unified Token Compression for Joint Generation and Classification CVPR 2026 Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging AAAI 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 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 Time Blindness: Why Video-Language Models Can't See What Humans Can? CVPR 2026 γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models ICLR 2025 ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation MICCAI 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 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 Learning Graph Invariance by Harnessing Spuriosity ICLR 2025 MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics ICCV 2025 One Last Attention for Your Vision-Language Model ICCV 2025 ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy ICML 2024 Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NeurIPS 2024 Elucidating the Design Space of Dataset Condensation NeurIPS 2024 Empowering Graph Invariance Learning with Deep Spurious Infomax ICML 2024 Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching CVPR 2024 Initializing Models with Larger Ones ICLR 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NeurIPS 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 Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs NeurIPS 2024 Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning AAAI 2023 Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023 Dropout Reduces Underfitting ICML 2023 FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023 Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos ICCV 2023 PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos CVPR 2023 Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos ICCV 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery CVPR 2023 Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective NeurIPS 2023 A Fast Knowledge Distillation Framework for Visual Recognition ECCV 2022 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 Sliced Recursive Transformer ECCV 2022 Stereo Neural Vernier Caliper AAAI 2022 Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning AAAI 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 Conditional Link Prediction of Category-Implicit Keypoint Detection WACV 2021 Contrast and Order Representations for Video Self-Supervised Learning ICCV 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 Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection CVPR 2021 Unsupervised Disentanglement of Linear-Encoded Facial Semantics CVPR 2021 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 MoBiNet: A Mobile Binary Network for Image Classification WACV 2020 Online Ensemble Model Compression using Knowledge Distillation ECCV 2020 ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions ECCV 2020 Soft Anchor-Point Object Detection ECCV 2020 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 Towards Instance-Level Image-To-Image Translation CVPR 2019 Transfer Learning for Sequences via Learning to Collocate ICLR 2019 TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection ECCV 2018 DSOD: Learning Deeply Supervised Object Detectors From Scratch ICCV 2017 Learning Efficient Convolutional Networks Through Network Slimming ICCV 2017 Weakly Supervised Dense Video Captioning CVPR 2017 Multiple Granularity Descriptors for Fine-Grained Categorization ICCV 2015