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11/28/2022
DGI: Easy and Efficient Inference for GNNs
While many systems have been developed to train Graph Neural Networks (G...
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10/03/2022
A high accuracy and low complexity quality control method for image compression
For large-scale still image coding tasks, the processing platform needs ...
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06/28/2022
Manu: A Cloud Native Vector Database Management System
With the development of learning-based embedding models, embedding vecto...
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05/19/2021
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval
When encountering a dubious diagnostic case, medical instance retrieval ...
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05/04/2021
A Power and Area Efficient Lepton Hardware Encoder with Hash-based Memory Optimization
Although it has been surpassed by many subsequent coding standards, JPEG...
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10/27/2020
The item selection problem for user cold-start recommendation
When a new user just signs up on a website, we usually have no informati...
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06/30/2020
Hierarchical Graph Matching Network for Graph Similarity Computation
Graph edit distance / similarity is widely used in many tasks, such as g...
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04/16/2020
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism
A good parallelization strategy can significantly improve the efficiency...
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02/18/2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Graph neural networks (GNNs) have received much attention recently becau...
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01/31/2020
Convolutional Embedding for Edit Distance
Edit-distance-based string similarity search has many applications such ...
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01/31/2020
Edit Distance Embedding using Convolutional Neural Networks
Edit-distance-based string similarity search has many applications such ...
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11/12/2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
The high cost of communicating gradients is a major bottleneck for feder...
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11/12/2019
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
Vector quantization (VQ) techniques are widely used in similarity search...
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09/30/2019
Understanding and Improving Proximity Graph based Maximum Inner Product Search
The inner-product navigable small world graph (ip-NSW) represents the st...
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09/26/2019
Elastic deep learning in multi-tenant GPU cluster
Multi-tenant GPU clusters are common nowadays due to the huge success of...
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06/25/2019
Pyramid: A General Framework for Distributed Similarity Search
Similarity search is a core component in various applications such as im...
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10/22/2018
Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS)
Recently, locality sensitive hashing (LSH) was shown to be effective for...
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09/24/2018