Dawei Cheng
31 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (13)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(54)
π
Interdisciplinary Bridge
π
Triple Crown
π
Keyword Champion
(6)
π
Grand Slam
β‘
Prolific Year
(6)
π
Century Club
(30)
ποΈ
Keyword Collector
(131)
Conferences
IJCAI (10)
AAAI (9)
ICML (4)
ICLR (3)
ACL (2)
CVPR (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(11)
fraud detection
(6)
neural network
(4)
representation learning
(4)
attention mechanism
(4)
time series forecasting
(2)
deep learning
(2)
self-supervised learning
(2)
contrastive learning
(2)
adversarial learning
(1)
data poisoning
(1)
online learning
(1)
transfer learning
(1)
feature extraction
(1)
semantic segmentation
(1)
lottery ticket hypothesis
(1)
risk management
(1)
motion estimation
(1)
action recognition
(1)
prototype learning
(1)
Papers
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection
AAAI 2026
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
ICLR 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
MasRouter: Learning to Route LLMs for Multi-Agent Systems
ACL 2025
AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning
ACL 2025
Rationalizing and Augmenting Dynamic Graph Neural Networks
ICLR 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
ICML 2025
PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting
IJCAI 2025
Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning
IJCAI 2025
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NIPS 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
ICML 2024
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
IJCAI 2024
Hypergraph Self-supervised Learning with Sampling-efficient Signals
IJCAI 2024
Graph Lottery Ticket Automated
ICLR 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
IJCAI 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
ICML 2024
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
AAAI 2023
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
EMNLP 2023
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning
AAAI 2023
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network
IJCAI 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
IJCAI 2023
Risk Guarantee Prediction in Networked-Loans
IJCAI 2020
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection
AAAI 2020
Learning From Web Data With Self-Organizing Memory Module
CVPR 2020
Image Cropping with Composition and Saliency Aware Aesthetic Score Map
AAAI 2020
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
AAAI 2020
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification
IJCAI 2020
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation
IJCAI 2019