Yuhang Zhou
22 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Cross-Pollinator (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(45)
β
The Questioner
β‘
Prolific Year
(9)
π
Conference Pioneer
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(95)
π
Century Club
(18)
π
Trend Setter
Conferences
ACL (7)
CVPR (4)
EMNLP (4)
NAACL (3)
AAAI (1)
EACL (1)
ICML (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
large language model
(7)
benchmark evaluation
(2)
knowledge distillation
(2)
adversarial defense
(2)
causal inference
(2)
domain generalization
(2)
foundation model
(2)
few-shot learning
(2)
causal reasoning
(1)
transfer learning
(1)
sample efficiency
(1)
domain adaptation
(1)
continual learning
(1)
text classification
(1)
in-context learning
(1)
semantic segmentation
(1)
medical imaging
(1)
semi-supervised learning
(1)
model robustness
(1)
object detection
(1)
Papers
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
ACL 2026
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
AAAI 2026
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL
ACL 2026
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
Are LLMs Rational Investors? A Study on the Financial Bias in LLMs
ACL 2025
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
CVPR 2025
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
EMNLP 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
NAACL 2025
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
NAACL 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
EMNLP 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
CVPR 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
ICML 2024
Reprogramming Distillation for Medical Foundation Models
MICCAI 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
ACL 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models
CVPR 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
Scalable Prompt Generation for Semi-supervised Learning with Language Models
EACL 2023
AutoMine: An Unmanned Mine Dataset
CVPR 2022