402 citations
- Zhejiang UniversityCN32 papers
- Alibaba Group (China)CN18 papers
- Peking UniversityCN13 papers
- Bellevue Hospital CenterUS12 papers
- Chinese Academy of SciencesCN10 papers
- Nanyang Technological UniversitySG10 papers
- Tsinghua UniversityCN8 papers
- Renmin University of ChinaCN7 papers
- Tianjin UniversityCN7 papers
- East China Normal UniversityCN6 papers
- Shanghai Jiao Tong UniversityCN6 papers
- University of Hong KongHK6 papers
42 papers · 1 filter
Density-Based Clustering with Kernel Diffusion
Chao Zheng, Yingjie Chen, Chong Chen +2
Finding a suitable density function is essential for density-based clustering algorithms such as DBSCAN and DPC. A naive density corresponding to the indicator function of a unit $…
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang, Kun Kuang, Jiezhong Qiu +5
Graph is a flexible and effective tool to represent complex structures in practice and graph neural networks (GNNs) have been shown to be effective on various graph tasks with rand…
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
Xinyuan Qi, Kai Hou, Tong Liu +3
Time series forecasting (TSF) is fundamentally required in many real-world applications, such as electricity consumption planning and sales forecasting. In e-commerce, accurate tim…
DQN Control Solution for KDD Cup 2021 City Brain Challenge
Yitian Chen, Kunlong Chen, Kunjin Chen +1
We took part in the city brain challenge competition and achieved the 8th place. In this competition, the players are provided with a real-world city-scale road network and its tra…
Decentralized Composite Optimization with Compression
Yao Li, Xiaorui Liu, Jiliang Tang +2
Decentralized optimization and communication compression have exhibited their great potential in accelerating distributed machine learning by mitigating the communication bottlenec…
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang +8
End-to-end AutoML has attracted intensive interests from both academia and industry, which automatically searches for ML pipelines in a space induced by feature engineering, algori…