Chenghu Zhou
27 papers · 2017–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (68) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Dynamic Duo
(25)
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Prolific Year Β· Prolific
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Renaissance Researcher
(9)
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Century Club Β· Bronze
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The Questioner
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Keyword Collector
(139)
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Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(12)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(10)
Core AI
(8)
Application Areas
(6)
Architectures
(6)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(5)
Core Methods
(5)
Optimization & Theory
(5)
Computer Vision
(4)
Knowledge & Reasoning
(3)
Applications
(3)
Learning Paradigms
(3)
Keywords
graph neural network
(6)
knowledge graph
(3)
out-of-distribution generalization
(2)
ood generalization
(2)
self-supervised learning
(2)
contrastive learning
(2)
semantic parsing
(2)
constraint satisfaction
(2)
large language model
(2)
information extraction
(2)
online learning
(1)
style transfer
(1)
uncertainty quantification
(1)
object detection
(1)
graph classification
(1)
few-shot learning
(1)
multi-agent reinforcement learning
(1)
bayesian learning
(1)
natural language generation
(1)
domain generalization
(1)
Papers
RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation
ACL 2026
Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
ICML 2025
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
ICLR 2025
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
ICML 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
AAAI 2024
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints
IJCAI 2024
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
AAAI 2024
Graph Parsing Networks
ICLR 2024
HuRef: HUman-REadable Fingerprint for Large Language Models
NeurIPS 2024
Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
NAACL 2024
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
NeurIPS 2024
OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
ICML 2024
RepEval: Effective Text Evaluation with LLM Representation
EMNLP 2024
Temporal Generalization Estimation in Evolving Graphs
ICLR 2024
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
AAAI 2023
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
EMNLP 2023
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
ACL 2023
Flattened Clos: Designing High-performance Deadlock-free Expander Data Center Networks Using Graph Contraction
NSDI 2023
Online Restless Bandits with Unobserved States
ICML 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
ICLR 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
IJCAI 2023
Self-supervised Graph Disentangled Networks for Review-based Recommendation
IJCAI 2023
Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model
ACL 2023
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
EMNLP 2022
RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
ACL 2022
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds
ICCV 2017