Yanyan Shen
19 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Papers
In-Context Adaptation to Concept Drift for Learned Database Operations
ICML 2025
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
AAAI 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
ICLR 2024
Self-Interpretable Graph Learning with Sufficient and Necessary Explanations
AAAI 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
AAAI 2024
Feature Staleness Aware Incremental Learning for CTR Prediction
IJCAI 2023
Human-in-the-Loop Vehicle ReID
AAAI 2023
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract)
IJCAI 2023
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
AAAI 2023
Resolving Training Biases via Influence-based Data Relabeling
ICLR 2022
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
AAAI 2020
Intent Preference Decoupling for User Representation on Online Recommender System
IJCAI 2020
Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation
IJCAI 2019
Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections
IJCAI 2019
A Data Driven Approach to Predicting Rating Scores for New Restaurants
ACML 2018
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics
IJCAI 2018
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
IJCAI 2018
Refine or Represent: Residual Networks with Explicit Channel-wise Configuration
IJCAI 2018
Stock Price Prediction Using Attention-based Multi-Input LSTM
ACML 2018