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Xianglong Liu

96 papers · 2013–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🏠 Conference Loyalist (28) 🀝 Dynamic Duo (21) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (22) πŸ† Keyword Champion (8) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (347) πŸ’Ž Century Club (91) ❓ The Questioner πŸ“ˆ Trend Setter

Conferences

CVPR (28) AAAI (15) IJCAI (13) ICML (8) ICCV (6) NIPS (6) ECCV (5) ICLR (5) ACL (4) EMNLP (4) AISTATS (1) WACV (1)

Top co-authors

Haotong Qin (23) Ruihao Gong (19) Yuqing Ma (19) Aishan Liu (19) Jinyang Guo (18) Jiakai Wang (17) Yifu Ding (15) Dacheng Tao (11) Cheng Deng (11) Jingkuan Song (9)

Research topics

Computer Vision (1) Privacy (1)

Keywords

model compression (21) object detection (8) large language model (8) post-training quantization (8) knowledge distillation (7) adversarial attack (6) convolutional neural network (6) attention mechanism (5) nearest neighbor search (5) generative adversarial network (5) representation learning (5) model quantization (4) efficient computing (4) image generation (4) edge computing (4) adversarial learning (4) image retrieval (4) hash code (4) metric learning (3) diffusion model (3)

Papers

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