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09/19/2022
In progress
The concept of causality plays an important role in human cognition . In...
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07/19/2021
CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
Treatment effect estimation, which refers to the estimation of causal ef...
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12/17/2020
Enhancing Balanced Graph Edge Partition with Effective Local Search
Graph partition is a key component to achieve workload balance and reduc...
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11/23/2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Limited by the time complexity of querying k-hop neighbors in a graph da...
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11/10/2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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11/10/2020
AIM 2020 Challenge on Rendering Realistic Bokeh
This paper reviews the second AIM realistic bokeh effect rendering chall...
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11/04/2020
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
A photo captured with bokeh effect often means objects in focus are shar...
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10/20/2020
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Distributed training techniques have been widely deployed in large-scale...
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07/28/2020
The Complexity of the Partition Coloring Problem
Given a simple undirected graph G=(V,E) and a partition of the vertex se...
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09/10/2019
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems
We present Distributed Equivalent Substitution (DES) training, a novel d...
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07/30/2018
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Synchronized stochastic gradient descent (SGD) optimizers with data para...
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05/01/2013