Xianglong Liu

18

Papers

6

Total Citations

Papers (18)

Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?

Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing

NeurIPS 2025arXiv

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models

PTQ4SAM: Post-Training Quantization for Segment Anything

NAPGuard: Towards Detecting Naturalistic Adversarial Patches

Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling

Compressing Large Language Models by Joint Sparsification and Quantization

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Flexible Residual Binarization for Image Super-Resolution

Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization