Search Results for author: Minghao Zhao

Found 9 papers, 1 papers with code

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System

no code implementations18 Oct 2021 Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan

Reinforcement learning based recommender systems (RL-based RS) aims at learning a good policy from a batch of collected data, with casting sequential recommendation to multi-step decision-making tasks.

Combinatorial Optimization Decision Making +1

Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer

no code implementations29 Apr 2021 Zhiyuan Wu, Yu Jiang, Minghao Zhao, Chupeng Cui, Zongmin Yang, Xinhui Xue, Hong Qi

To further improve the robustness of the student, we extend SD to Enhanced Spirit Distillation (ESD) in exploiting a more comprehensive knowledge by introducing the proximity domain which is similar to the target domain for feature extraction.

Knowledge Distillation Model Compression +1

Personalized Bundle Recommendation in Online Games

no code implementations12 Apr 2021 Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen

In business domains, \textit{bundling} is one of the most important marketing strategies to conduct product promotions, which is commonly used in online e-commerce and offline retailers.

Link Prediction Recommendation Systems

Activation Map Adaptation for Effective Knowledge Distillation

no code implementations26 Oct 2020 Zhiyuan Wu, Hong Qi, Yu Jiang, Minghao Zhao, Chupeng Cui, Zongmin Yang, Xinhui Xue

Model compression becomes a recent trend due to the requirement of deploying neural networks on embedded and mobile devices.

Knowledge Distillation Model Compression +1

Multiscale Evolutionary Perturbation Attack on Community Detection

no code implementations22 Oct 2019 Jinyin Chen, Yixian Chen, Lihong Chen, Minghao Zhao, Qi Xuan

In this paper, we formalize this community detection attack problem in three scales, including global attack (macroscale), target community attack (mesoscale) and target node attack (microscale).

Social and Information Networks Physics and Society

Subgraph Networks with Application to Structural Feature Space Expansion

no code implementations21 Mar 2019 Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen

In other words, the structural features of SGNs can complement that of the original network for better network classification, regardless of the feature extraction method used, such as the handcrafted, network embedding and kernel-based methods.

Classification General Classification +2

GA Based Q-Attack on Community Detection

no code implementations1 Nov 2018 Jinyin Chen, Lihong Chen, Yixian Chen, Minghao Zhao, Shanqing Yu, Qi Xuan, Xiaoniu Yang

In particular, we first give two heuristic attack strategies, i. e., Community Detection Attack (CDA) and Degree Based Attack (DBA), as baselines, utilizing the information of detected community structure and node degree, respectively.

Social and Information Networks

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations

no code implementations16 Sep 2018 Shanqing Yu, Minghao Zhao, Chenbo Fu, Huimin Huang, Xincheng Shu, Qi Xuan, Guanrong Chen

This is the first time to study privacy protection on targeted links against link-prediction-based attacks.

Social and Information Networks Physics and Society

Forward Private Searchable Symmetric Encryption with Optimized I/O Efficiency

2 code implementations30 Sep 2017 Xiangfu Song, Changyu Dong, Dandan Yuan, Qiuliang Xu, Minghao Zhao

Recently, several practical attacks raised serious concerns over the security of searchable encryption.

Cryptography and Security

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