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09/20/2023
Parallel-mentoring for Offline Model-based Optimization
We study offline model-based optimization to maximize a black-box object...
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01/07/2023
Bidirectional Learning for Offline Model-based Biological Sequence Design
Offline model-based optimization aims to maximize a black-box objective ...
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11/25/2022
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data
Feature selection is a powerful dimension reduction technique which sele...
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09/15/2022
Bidirectional Learning for Offline Infinite-width Model-based Optimization
In offline model-based optimization, we strive to maximize a black-box o...
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07/24/2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Bi-level optimization, especially the gradient-based category, has been ...
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07/06/2022
A Survey on Hyperlink Prediction
As a natural extension of link prediction on graphs, hyperlink predictio...
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06/15/2022
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce
The blockchain technology empowers secure, trustless, and privacy-preser...
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05/31/2022
Unbiased Implicit Feedback via Bi-level Optimization
Implicit feedback is widely leveraged in recommender systems since it is...
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04/06/2022
Structure-aware Protein Self-supervised Learning
Protein representation learning methods have shown great potential to yi...
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10/29/2021
Generalized Data Weighting via Class-level Gradient Manipulation
Label noise and class imbalance are two major issues coexisting in real-...
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06/15/2021
Hypergraph Dissimilarity Measures
In this paper, we propose two novel approaches for hypergraph comparison...
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11/25/2020
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation
Autonomous systems need to localize and track surrounding objects in 3D ...
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09/09/2020
RoIFusion: 3D Object Detection from LiDAR and Vision
When localizing and detecting 3D objects for autonomous driving scenes, ...
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12/20/2019
Tensor entropy for uniform hypergraphs
In this paper, we develop a new notion of entropy for uniform hypergraph...
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09/23/2019
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
In order to achieve better performance for point cloud analysis, many re...
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06/10/2019
Fast Hierarchical Neural Network for Feature Learning on Point Cloud
The analyses relying on 3D point clouds are an utterly complex task, oft...
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05/21/2019