Xin Du
20 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (12)
π
Cross-Pollinator
(5)
π
Renaissance Researcher
(8)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Conference Pioneer
β‘
Prolific Year
(8)
π
Trend Setter
ποΈ
Keyword Collector
(92)
π
Century Club
(20)
Conferences
IJCAI (8)
ICML (3)
AAAI (2)
ICCV (2)
NIPS (2)
ACL (1)
ECCV (1)
MLHC (1)
Top co-authors
Research topics
Keywords
spiking neural network
(4)
edge computing
(3)
neural network
(2)
vertical federated learning
(2)
backdoor attack
(2)
energy consumption
(2)
variational inference
(1)
3d reconstruction
(1)
stochastic gradient
(1)
model calibration
(1)
embedding learning
(1)
backdoor defense
(1)
medical imaging
(1)
knowledge distillation
(1)
style transfer
(1)
representation learning
(1)
text representation
(1)
multimodal learning
(1)
incremental learning
(1)
bayesian inference
(1)
Papers
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
ICML 2025
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
IJCAI 2025
Information-Theoretic Generative Clustering of Documents
AAAI 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
ICML 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
Backdoor Attack on Vertical Federated Graph Neural Network Learning
IJCAI 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
IJCAI 2025
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices
IJCAI 2024
Bottleneck-Minimal Indexing for Generative Document Retrieval
ICML 2024
Deep Cascade Learning for Optimal Medical Image Feature Representation
MLHC 2022
FIRE: Semantic Field of Words Represented as Non-Linear Functions
NIPS 2022
Multi-Curve Translator for High-Resolution Photorealistic Image Translation
ECCV 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
IJCAI 2022
Risk-Driven Design of Perception Systems
NIPS 2022
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
ICCV 2021
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method
IJCAI 2021
Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization
ACL 2020
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data
AAAI 2020
Multi-view 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras
ICCV 2013