Zhang Zhang
22 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (9) π Renaissance Researcher (5) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (49)
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Academic Marathon
(9)
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Renaissance Researcher
(5)
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Triple Crown
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Grand Slam
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Mega-Team
(32)
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Unstoppable
(5)
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Century Club
(18)
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The Questioner
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Keyword Collector
(94)
Conferences
CVPR (5)
AAAI (3)
ACL (2)
EMNLP (2)
ICLR (2)
ICML (2)
NAACL (2)
NSDI (2)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
person re-identification
(4)
reinforcement learning
(3)
feature learning
(3)
medical imaging
(2)
few-shot learning
(2)
domain adaptation
(2)
relation extraction
(2)
pathology diagnosis
(2)
reward modeling
(1)
transfer learning
(1)
causal inference
(1)
data transformation
(1)
anomaly detection
(1)
image retrieval
(1)
domain generalization
(1)
adversarial learning
(1)
preference alignment
(1)
direct preference optimization
(1)
data augmentation
(1)
visual question answering
(1)
Papers
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
AAAI 2026
AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse
ACL 2026
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
ACL 2026
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
AAAI 2026
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
ICLR 2025
Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs
EMNLP 2025
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
ICML 2025
Minder: Faulty Machine Detection for Large-scale Distributed Model Training
NSDI 2025
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
CVPR 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
NSDI 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
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
NIPS 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
ICML 2023
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
ECCV 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