Xu-yao Zhang
28 papers · 2015–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (60) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(21)
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Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(109)
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(15)
Learning Types · Machine Learning
(13)
Artificial Intelligence
(12)
Computer Vision
(8)
Core AI · Artificial Intelligence
(8)
Learning Types · Deep Learning
(8)
Core Methods
(7)
Analysis
(6)
Architectures
(6)
Learning Paradigms
(5)
Application Areas
(4)
Processing
(3)
Core AI · Computer Vision
(2)
Models
(2)
Keywords
out-of-distribution detection
(4)
continual learning
(4)
catastrophic forgetting
(4)
instruction tuning
(3)
convolutional neural network
(3)
knowledge distillation
(3)
large language model
(2)
open-world learning
(2)
graph neural network
(2)
multimodal large language model
(2)
image classification
(2)
post-training quantization
(2)
weight quantization
(2)
activation quantization
(2)
large multimodal model
(2)
confidence calibration
(2)
representation learning
(2)
prompt learning
(2)
model binarization
(2)
misclassification detection
(2)
Papers
Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
CVPR 2026
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
ACL 2026
Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance
CVPR 2026
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
AAAI 2026
Achieving binary weight and activation for LLMs using Post-Training Quantization
ACL 2025
Federated Continual Instruction Tuning
ICCV 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
ACL 2025
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
ICLR 2025
ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt
EMNLP 2025
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
AAAI 2025
Active Generalized Category Discovery
CVPR 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NeurIPS 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
ECCV 2024
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation
CVPR 2024
OpenMix: Exploring Outlier Samples for Misclassification Detection
CVPR 2023
Rethinking Confidence Calibration for Failure Prediction
ECCV 2022
Class-Incremental Learning via Dual Augmentation
NeurIPS 2021
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition
AAAI 2021
Prototype Augmentation and Self-Supervision for Incremental Learning
CVPR 2021
Proxy Graph Matching with Proximal Matching Networks
AAAI 2021
Semantic-Aware Video Text Detection
CVPR 2021
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting
ICCV 2019
Robust Classification With Convolutional Prototype Learning
CVPR 2018
Deep Direct Regression for Multi-Oriented Scene Text Detection
ICCV 2017
Diverse Neuron Type Selection for Convolutional Neural Networks
IJCAI 2017
Dynamic Multi-Task Learning with Convolutional Neural Network
IJCAI 2017
Task-Driven Feature Pooling for Image Classification
ICCV 2015