Daizong Ding

According to our database, Daizong Ding authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uplift Modeling for Target User Attacks on Recommender Systems.

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua

CoRR, 2024

2023

Enhancing Time Series Predictors With Generalized Extreme Value Loss.

Mi Zhang, Daizong Ding, Xudong Pan, Min Yang

IEEE Trans. Knowl. Data Eng., 2023

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding.

Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng

Proceedings of the ACM Web Conference 2023, 2023

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model.

Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang

Proceedings of the ACM Web Conference 2023, 2023

CAP: Robust Point Cloud Classification via Semantic and Structural Modeling.

Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Black-Box Adversarial Attack on Time Series Classification.

Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Geometrical Perspective on Image Style Transfer With Adversarial Learning.

Xudong Pan, Mi Zhang, Daizong Ding, Min Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Backdoor Attack on Deep Learning based Time Series Classification.

Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction.

Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Deep Learning Framework for Self-evolving Hierarchical Community Detection.

Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Modeling Personalized Out-of-Town Distances in Location Recommendation.

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware.

Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning.

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Modeling Extreme Events in Time Series Prediction.

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Geographical Feature Extraction for Entities in Location-based Social Networks.

Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Theoretical Analysis of Image-to-Image Translation with Adversarial Learning.

Xudong Pan, Mi Zhang, Daizong Ding

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network.

Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017