research
∙
11/22/2022
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
Point cloud completion, as the upstream procedure of 3D recognition and ...
share
research
∙
09/09/2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
With the prevalence of social media, there has recently been a prolifera...
research
∙
01/27/2021
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation
Generative Adversarial Networks (GAN) is an adversarial model, and it ha...
research
∙
11/11/2020
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal policy optimization (PPO) algorithm is a deep reinforcement lea...
research
∙
08/10/2020
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
Heterogeneous Information Network (HIN) is a natural and general represe...
research
∙
12/13/2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
Reinforcement learning, evolutionary algorithms and imitation learning a...
research
∙
07/12/2019
ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis
Interactive sentiment analysis is an emerging, yet challenging, subtask ...
research
∙
12/18/2018
Optimizing Data Intensive Flows for Networks on Chips
Data flow analysis and optimization is considered for homogeneous rectan...
research
∙
12/17/2018
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation
In distributed computing frameworks like MapReduce, Spark, and Dyrad, a ...
research
∙
12/15/2018
