Xiangzhong Fang
11 papers · 2021–2026 · 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
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver ⚡ Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(66)
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Artificial Intelligence
(6)
Application Areas
(5)
Learning Types · Deep Learning
(5)
Core AI
(4)
Models
(4)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Core Methods
(2)
Learning Paradigms
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications · Computer Science
(1)
Applications · Natural Language Processing
(1)
Keywords
chain-of-thought reasoning
(2)
nfes
(2)
inference efficiency
(2)
reinforcement learning
(2)
diffusion model
(2)
knowledge distillation
(2)
few-shot learning
(1)
named entity recognition
(1)
feature learning
(1)
hierarchical structure
(1)
metric learning
(1)
hierarchical text classification
(1)
class-incremental learning
(1)
text-to-image generation
(1)
nearest neighbor
(1)
mathematical reasoning
(1)
feature representation
(1)
model pruning
(1)
prompt learning
(1)
image generation
(1)
Papers
FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training
AAAI 2026
Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
ACL 2026
Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
EMNLP 2025
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
ICML 2025
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
ICLR 2025
Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation
AAAI 2025
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
EMNLP 2025
Learning Quantized Adaptive Conditions for Diffusion Models
ECCV 2024
NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
COLING 2024
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
CVPR 2023
Class-Wise Metric Scaling for Improved Few-Shot Classification
WACV 2021