← Authors

Xiawu Zheng

55 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (82) 🀝 Dynamic Duo (32) πŸ‘₯ Mega-Team (28) πŸ† Grand Slam πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (172) πŸ’Ž Century Club (53) ⚑ Prolific Year (16) πŸš€ Conference Pioneer

Conferences

CVPR (12) AAAI (11) ICLR (8) ICML (8) ICCV (7) ECCV (3) ACL (2) IJCAI (2) COLING (1) NIPS (1)

Top co-authors

Rongrong Ji (32) Yonghong Tian (12) Fei Chao (11) Yunhang Shen (9) Ke Li (9) Huixia Li (7) Jie Chen (7) Yan Zhang (7) Yuexiao Ma (6) Runze Hu (6)

Keywords

neural architecture search (7) model compression (5) blind image quality assessment (4) object detection (4) convolutional neural network (3) semi-supervised learning (3) model quantization (3) semantic segmentation (3) knowledge distillation (3) diffusion model (3) architecture optimization (3) large language model (3) contrastive learning (2) multimodal large language model (2) image quality assessment (2) random forest (2) post-training quantization (2) efficient computing (2) incremental learning (2) feature learning (2)

Papers

QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension AAAI 2026
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning AAAI 2026
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment CVPR 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation AAAI 2025
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025
Feature Denoising Diffusion Model for Blind Image Quality Assessment AAAI 2025
Dynamic Clustering Convolutional Neural Network AAAI 2025
Data Interpreter: An LLM Agent for Data Science ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025
Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective ICML 2025
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective ICML 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models ICLR 2025
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models ICLR 2025
Learning Interleaved Image-Text Comprehension in Vision-Language Large Models ICLR 2025
Multimodal Quantitative Language for Generative Recommendation ICLR 2025
BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training ICML 2025
polybasic Speculative Decoding Through a Theoretical Perspective ICML 2025
Multi-branch Collaborative Learning Network for 3D Visual Grounding ECCV 2024
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning AAAI 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024
GraCo: Granularity-Controllable Interactive Segmentation CVPR 2024
Bilateral Event Mining and Complementary for Event Stream Super-Resolution CVPR 2024
RepAn: Enhanced Annealing through Re-parameterization CVPR 2024
Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents ECCV 2024
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework ICLR 2024
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024
AffineQuant: Affine Transformation Quantization for Large Language Models ICLR 2024
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation ICML 2024
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity ICML 2024
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment ICML 2024
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer ICML 2024
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion IJCAI 2024
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration ICCV 2023
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning NIPS 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023
Meta Architecture for Point Cloud Analysis CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
A Unified Framework for Soft Threshold Pruning ICLR 2023
OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle ICCV 2023
Data-Efficient Image Quality Assessment with Attention-Panel Decoder AAAI 2023
Training-Free Transformer Architecture Search CVPR 2022
Neural Architecture Search With Representation Mutual Information CVPR 2022
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS ICCV 2021
Binarized Neural Architecture Search AAAI 2020
Rethinking Performance Estimation in Neural Architecture Search CVPR 2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale ECCV 2020
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019
Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval IJCAI 2018