Yanyan Shen

19 papers · 2018–2025 · 5 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)

🌍 Conference Polyglot (5) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (10) 🗃️ Keyword Collector (97) 💎 Century Club (19) 📈 Trend Setter ⚡ Prolific Year (5)

Conferences

IJCAI (8) AAAI (6) ACML (2) ICLR (2) ICML (1)

Top co-authors

Yanmin Zhu (4) Jinyang Gao (3) Linpeng Huang (3) Jiale Deng (2) Beng Chin Ooi (2) Gang Chen (2) Weiyu Cheng (2) Haokun Chen (2) Zhaoyang Liu (2) Tong Li (2)

Keywords

graph neural network (3) representation learning (2) time series forecasting (2) deep learning (2) feature interaction (2) attention mechanism (2) recommender system (2) heterogeneous graph (2) stock price forecasting (2) time series prediction (2) embedding learning (2) online learning (2) neural network (2) distributed learning (1) collaborative filtering (1) network architecture (1) feature selection (1) text classification (1) metric learning (1) human-in-the-loop learning (1)

Papers

In-Context Adaptation to Concept Drift for Learned Database Operations ICML 2025 Self-Interpretable Graph Learning with Sufficient and Necessary Explanations AAAI 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 MASTER: Market-Guided Stock Transformer for Stock Price Forecasting AAAI 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 Human-in-the-Loop Vehicle ReID AAAI 2023 Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network AAAI 2023 Feature Staleness Aware Incremental Learning for CTR Prediction IJCAI 2023 Resolving Training Biases via Influence-based Data Relabeling ICLR 2022 Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020 Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 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 Stock Price Prediction Using Attention-based Multi-Input LSTM ACML 2018 Refine or Represent: Residual Networks with Explicit Channel-wise Configuration IJCAI 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