Xianglong Liu

Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models AAAI 2026 Query-Routed Activation Editing with Truth-hierarchical Preference Optimization AAAI 2026 First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026 CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026 Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles AAAI 2026 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction IJCAI 2025 Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models EMNLP 2025 Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans? CVPR 2025 Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization CVPR 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 Token-Aware Editing of Internal Activations for Large Language Model Alignment EMNLP 2025 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models ICLR 2025 Dynamic Parallel Tree Search for Efficient LLM Reasoning ACL 2025 Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation ACL 2025 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 PTQ4SAM: Post-Training Quantization for Segment Anything CVPR 2024 Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection CVPR 2024 LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024 Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation IJCAI 2024 Flexible Residual Binarization for Image Super-Resolution ICML 2024 Accurate LoRA-Finetuning Quantization of LLMs via Information Retention ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs ICML 2024 Compressing Large Language Models by Joint Sparsification and Quantization ICML 2024 Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game ICLR 2024 BiDM: Pushing the Limit of Quantization for Diffusion Models NIPS 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NIPS 2024 TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024 Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024 NAPGuard: Towards Detecting Naturalistic Adversarial Patches CVPR 2024 LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling CVPR 2024 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 BiBench: Benchmarking and Analyzing Network Binarization ICML 2023 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023 Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks CVPR 2023 Improving Robust Fariness via Balance Adversarial Training AAAI 2023 Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023 BiMatting: Efficient Video Matting via Binarization NIPS 2023 QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution NIPS 2023 Annealing-Based Label-Transfer Learning for Open World Object Detection CVPR 2023 Defensive Patches for Robust Recognition in the Physical World CVPR 2022 Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts CVPR 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022 Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network CVPR 2022 Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models NIPS 2022 Delving Into the Estimation Shift of Batch Normalization in a Network CVPR 2022 Frequency Domain Model Augmentation for Adversarial Attack ECCV 2022 Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies ECCV 2022 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization ICLR 2022 BiBERT: Accurate Fully Binarized BERT ICLR 2022 BiFSMN: Binary Neural Network for Keyword Spotting IJCAI 2022 Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection ICCV 2021 Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World CVPR 2021 Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021 Hierarchical Generative Adversarial Networks for Single Image Super-Resolution WACV 2021 Stratified Rule-Aware Network for Abstract Visual Reasoning AAAI 2021 BiPointNet: Binary Neural Network for Point Clouds ICLR 2021 Towards Real-World Prohibited Item Detection: A Large-Scale X-Ray Benchmark ICCV 2021 Bias-based Universal Adversarial Patch Attack for Automatic Check-out ECCV 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization CVPR 2020 Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020 Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020 Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020 Transductive Relation-Propagation Network for Few-shot Learning IJCAI 2020 Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration IJCAI 2020 Stein Variational Inference for Discrete Distributions AISTATS 2020 Patch-wise Attack for Fooling Deep Neural Network ECCV 2020 Graph Attention Based Proposal 3D ConvNets for Action Detection AAAI 2020 Spatiotemporal Attacks for Embodied Agents ECCV 2020 Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition ICCV 2019 Graph Convolutional Network Hashing for Cross-Modal Retrieval IJCAI 2019 Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation IJCAI 2019 Latent Distribution Preserving Deep Subspace Clustering IJCAI 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 Deliberate Attention Networks for Image Captioning AAAI 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering AAAI 2019 Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval AAAI 2019 Direct Shape Regression Networks for End-to-End Face Alignment CVPR 2018 Dual Conditional GANs for Face Aging and Rejuvenation IJCAI 2018 Complementary Binary Quantization for Joint Multiple Indexing IJCAI 2018 Deep Joint Semantic-Embedding Hashing IJCAI 2018 Progressive Generative Hashing for Image Retrieval IJCAI 2018 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks ICCV 2017 Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval CVPR 2017 Multilinear Hyperplane Hashing CVPR 2016 Multi-View Complementary Hash Tables for Nearest Neighbor Search ICCV 2015 Collaborative Hashing CVPR 2014 Hash Bit Selection: A Unified Solution for Selection Problems in Hashing CVPR 2013