Zhang Zhang
23 papers · 2016–2026 · 10 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 ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π Grand Slam
π₯
Mega-Team Β· Squad
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(119)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(10)
Core AI
(8)
Deep Learning
(7)
Application Areas
(7)
Learning Types Β· Deep Learning
(7)
Computer Vision
(5)
Analysis
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Core Methods
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Applications
(1)
Keywords
person re-identification
(4)
feature learning
(3)
multimodal large language model
(3)
reinforcement learning
(3)
visual question answering
(2)
domain adaptation
(2)
pathology diagnosis
(2)
few-shot learning
(2)
relation extraction
(2)
domain generalization
(2)
vision-language model
(2)
medical imaging
(2)
anomaly detection
(1)
transfer learning
(1)
data transformation
(1)
adversarial learning
(1)
causal inference
(1)
preference alignment
(1)
offline reinforcement learning
(1)
benchmark evaluation
(1)
Papers
AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse
ACL 2026
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
AAAI 2026
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
AAAI 2026
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
ACL 2026
SimScale: Learning to Drive via Real-World Simulation at Scale
CVPR 2026
Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs
EMNLP 2025
Minder: Faulty Machine Detection for Large-scale Distributed Model Training
NSDI 2025
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
ICLR 2025
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
ICML 2025
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
CVPR 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning
NAACL 2024
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction
NAACL 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
NSDI 2024
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
ICML 2023
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction
EMNLP 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
ICLR 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
NeurIPS 2023
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
ECCV 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI 2022
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification
CVPR 2019
Adversarially Occluded Samples for Person Re-Identification
CVPR 2018
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification
CVPR 2017
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering
CVPR 2016