1.8k citations
- Zhejiang UniversityCN43 papers
- Peking UniversityCN19 papers
- Tsinghua UniversityCN19 papers
- Shanghai Jiao Tong UniversityCN17 papers
- Alibaba Group (United States)US16 papers
- University of Science and Technology of ChinaCN16 papers
- Chinese Academy of SciencesCN13 papers
- Nanyang Technological UniversitySG10 papers
- University of Chinese Academy of SciencesCN9 papers
- University of Electronic Science and Technology of ChinaCN8 papers
- CAS Key Laboratory of Urban Pollutant ConversionCN7 papers
- Huazhong University of Science and TechnologyCN7 papers
28 papers · 1 filter
I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts
Zhipeng Gao, Xin Xia, David Lo +3
Stack Overflow has been heavily used by software developers to seek programming-related information. More and more developers use Community Question and Answer forums, such as Stac…
SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias
Zihao Wang, Qihao Liang, Kejun Zhang +8
Real-time music accompaniment generation has a wide range of applications in the music industry, such as music education and live performances. However, automatic real-time music a…
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu, Yuefeng Chen, Xiaodan Li +6
Transferable adversarial attacks against Deep neural networks (DNNs) have received broad attention in recent years. An adversarial example can be crafted by a surrogate model and t…
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
Xiaodong Yi, Shiwei Zhang, Lansong Diao +6
This paper proposes DisCo, an automatic deep learning compilation module for data-parallel distributed training. Unlike most deep learning compilers that focus on training or infer…
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen +5
In recent years, great progress has been made to incorporate unlabeled data to overcome the inefficiently supervised problem via semi-supervised learning (SSL). Most state-of-the-a…
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
Qianying Lin, Wen-Ji Zhou, Yanshi Wang +3
Sequential recommendation predicts users' next behaviors with their historical interactions. Recommending with longer sequences improves recommendation accuracy and increases the d…