Gaowen Liu

A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning CVPR 2026 Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding CVPR 2026 Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection ACL 2026 GIFSplat: Generative Prior-Guided Iterative Feed-Forward 3D Gaussian Splatting from Sparse Views CVPR 2026 QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain WACV 2026 Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery CVPR 2026 A First-order Generative Bilevel Optimization Framework for Diffusion Models ICML 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025 Compositional Caching for Training-free Open-vocabulary Attribute Detection CVPR 2025 Effective Training Data Synthesis for Improving MLLM Chart Understanding ICCV 2025 Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model CVPR 2025 How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench EMNLP 2025 Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning NAACL 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models ICML 2025 MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection CVPR 2025 Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge WACV 2025 SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning EMNLP 2025 SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025 Targeted Forgetting of Image Subgroups in CLIP Models CVPR 2025 The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 IJCNLP 2025 Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry ICLR 2025 UniMuMo: Unified Text, Music, and Motion Generation AAAI 2025 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024 Answer is All You Need: Instruction-following Text Embedding via Answering the Question ACL 2024 Efficient Multitask Dense Predictor via Binarization CVPR 2024 Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NeurIPS 2024 MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning CVPR 2024 Open-world Multi-label Text Classification with Extremely Weak Supervision EMNLP 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks CVPR 2024 SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding ECCV 2024 Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities ECCV 2024 UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NeurIPS 2024 WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting AAAI 2024 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NeurIPS 2023 Learning Omnidirectional Flow in 360° Video via Siamese Representation ECCV 2022 Inferring Painting Style with Multi-Task Dictionary Learning IJCAI 2015