Xu-yao Zhang
26 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)
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Renaissance Researcher
(5)
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Conference Polyglot
(9)
🏃
Academic Marathon
(10)
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Dynamic Duo
(21)
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Unstoppable
(5)
💎
Century Club
(24)
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Prolific Year
(5)
🗃️
Keyword Collector
(102)
Conferences
CVPR (7)
AAAI (4)
ICCV (4)
ACL (3)
ECCV (2)
IJCAI (2)
NIPS (2)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
knowledge distillation
(3)
convolutional neural network
(3)
catastrophic forgetting
(3)
continual learning
(3)
out-of-distribution detection
(3)
image classification
(2)
large language model
(2)
graph neural network
(2)
model binarization
(2)
weight quantization
(2)
open-world learning
(2)
large multimodal model
(2)
confidence calibration
(2)
misclassification detection
(2)
representation learning
(2)
instruction tuning
(2)
activation quantization
(2)
prototype learning
(1)
graph matching
(1)
entropy minimization
(1)
Papers
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
ACL 2026
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
AAAI 2026
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
AAAI 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
ACL 2025
Achieving binary weight and activation for LLMs using Post-Training Quantization
ACL 2025
Federated Continual Instruction Tuning
ICCV 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
Active Generalized Category Discovery
CVPR 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NIPS 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation
CVPR 2024
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
ECCV 2024
OpenMix: Exploring Outlier Samples for Misclassification Detection
CVPR 2023
Rethinking Confidence Calibration for Failure Prediction
ECCV 2022
Prototype Augmentation and Self-Supervision for Incremental Learning
CVPR 2021
Class-Incremental Learning via Dual Augmentation
NIPS 2021
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition
AAAI 2021
Semantic-Aware Video Text Detection
CVPR 2021
Proxy Graph Matching with Proximal Matching Networks
AAAI 2021
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting
ICCV 2019
Robust Classification With Convolutional Prototype Learning
CVPR 2018
Diverse Neuron Type Selection for Convolutional Neural Networks
IJCAI 2017
Dynamic Multi-Task Learning with Convolutional Neural Network
IJCAI 2017
Deep Direct Regression for Multi-Oriented Scene Text Detection
ICCV 2017
Task-Driven Feature Pooling for Image Classification
ICCV 2015