11 citations · 23 across the 8 of their papers we have counts for
8 papers
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Yuan Zhang, Xiaoran Xu, Hanning Zhou +1
Recently, the embedding-based recommendation models (e.g., matrix factorization and deep models) have been prevalent in both academia and industry due to their effectiveness and fl…
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
Xiaoran Xu, Wei Feng, Yunsheng Jiang +3
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large-scale knowledge graph reasoning. In contrast to existing models, embedding-based or path-based, we learn an…
Neural Consciousness Flow
Xiaoran Xu, Wei Feng, Zhiqing Sun +1
The ability of reasoning beyond data fitting is substantial to deep learning systems in order to make a leap forward towards artificial general intelligence. A lot of efforts have…
Modeling Attention Flow on Graphs
Xiaoran Xu, Songpeng Zu, Chengliang Gao +2
Real-world scenarios demand reasoning about process, more than final outcome prediction, to discover latent causal chains and better understand complex systems. It requires the lea…
ShareJIT: JIT Code Cache Sharing across Processes and Its Practical Implementation
Xiaoran Xu, Keith Cooper, Jacob Brock +2
Just-in-time (JIT) compilation coupled with code caching are widely used to improve performance in dynamic programming language implementations. These code caches, along with the a…
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs
Xiaoran Xu, Songpeng Zu, Yuan Zhang +2
In real-world scenarios, it is appealing to learn a model carrying out stochastic operations internally, known as stochastic computation graphs (SCGs), rather than learning a deter…
Efficient Characterization of Hidden Processor Memory Hierarchies
Keith Cooper, Xiaoran Xu
A processor's memory hierarchy has a major impact on the performance of running code. However, computing platforms, where the actual hardware characteristics are hidden from both t…
Testing as an Investment
Xiaoran Xu, Chunrong Fang, Qing Wu +2
Software testing is an expensive and important task. Plenty of researches and industrial efforts have been invested on improving software testing techniques, including criteria, to…