Jia Wang

According to our database, Jia Wang authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.

Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn

IEEE Trans. Artif. Intell., April, 2024

A Security Information Transmission Method Based on DHR for Seafloor Observation Network.

Fei Ying, Shengjie Zhao, Jia Wang

Sensors, February, 2024

Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach.

Haiyang Zhang, Qiuyi Chen, Yuanjie Zou, Yushan Pan, Jia Wang, Mark Stevenson

CoRR, 2024

C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement.

Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.

Wei Li, Jinlin Chen, Jiannong Cao, Chao Ma, Jia Wang, Xiaohui Cui, Ping Chen

IEEE Trans. Ind. Informatics, March, 2023

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.

Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation.

Jia Wang, Jiannong Cao, Senzhang Wang, Zhongyu Yao, Wengen Li

IEEE Trans. Big Data, 2022

Numerical solving of generalized Black-Scholes differential equation using deep learning based on blocked residual connection.

Muzhou Hou, Huawei Fu, Zheng Hu, Jia Wang, Yinghao Chen, Yunlei Yang

Digit. Signal Process., 2022

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.

Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei

CoRR, 2022

GraphWare: A graph-based middleware enabling multi-robot cooperation.

Jinlin Chen, Jiannong Cao, Zhixuan Liang, Zhiqin Cheng, Jia Wang

Concurr. Comput. Pract. Exp., 2022

SecretHunter: A Large-scale Secret Scanner for Public Git Repositories.

Elliott Wen, Jia Wang, Jens Dietrich

Proceedings of the IEEE International Conference on Trust, 2022

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.

Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Learning Graph Representation With Generative Adversarial Nets.

Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo

IEEE Trans. Knowl. Data Eng., 2021

CANE: community-aware network embedding via adversarial training.

Jia Wang, Jiannong Cao, Wei Li, Senzhang Wang

Knowl. Inf. Syst., 2021

2020

Joint Topic-Semantic-aware Social Matrix Factorization for online voting recommendation.

Jia Wang, Hongwei Wang, Miao Zhao, Jiannong Cao, Zhuo Li, Minyi Guo

Knowl. Based Syst., 2020

BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools.

Ka Ho Wong, Jiannong Cao, Yu Yang, Wengen Li, Jia Wang, Zhongyu Yao, Suyan Xu, Esther Ahn Chian Ku, Chun On Wong, David Leung

Proceedings of the Database Systems for Advanced Applications, 2020

Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation.

Zhuo Li, Jiannong Cao, Zhongyu Yao, Wengen Li, Yu Yang, Jia Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

NFVdeep: adaptive online service function chain deployment with deep reinforcement learning.

Yikai Xiao, Qixia Zhang, Fangming Liu, Jia Wang, Miao Zhao, Zhongxing Zhang, Jiaxing Zhang

Proceedings of the International Symposium on Quality of Service, 2019

Decentralized Algorithm for Repeating Pattern Formation by Multiple Robots.

Shan Jiang, Junbin Liang, Jiannong Cao, Jia Wang, Jinlin Chen, Zhixuan Liang

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement Learning.

Jia Wang, Jiannong Cao, Milos Stojmenovic, Miao Zhao, Jinlin Chen, Shan Jiang

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Performance Optimization on Dynamic Adaptive Streaming over HTTP in Multi-User MIMO LTE Networks.

Miao Zhao, Bin Jia, Jia Wang, Mingquan Wu, Heather Yu

IEEE Trans. Mob. Comput., 2018

GraphGAN: Graph Representation Learning With Generative Adversarial Nets.

Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Wi-friend: Identifying potential real life friends nearby.

Jia Wang, Xuefeng Liu, Jiannong Cao

Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

Fault-Tolerant Pattern Formation by Multiple Robots: A Learning Approach.

Jia Wang, Jiannong Cao, Shan Jiang

Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Uniform Circle Formation by Asynchronous Robots: A Fully-Distributed Approach.

Shan Jiang, Jiannong Cao, Jia Wang, Milos Stojmenovic, Julien Bourgeois

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

Joint Topic-Semantic-aware Social Recommendation for Online Voting.

Hongwei Wang, Jia Wang, Miao Zhao, Jiannong Cao, Minyi Guo

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