Quanliang Jing

According to our database, Quanliang Jing authored at least 21 papers between 2014 and 2026.

Collaborative distances:

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

2026

TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement.

Xinxin Fan, Wenxiong Chen, Quanliang Jing, Chi Lin, Shaoye Luo, Wenbo Song, Yunfeng Lu

CoRR, April, 2026

DPBL: Denoised Player Behavior Representation Learning.

Wenbin Li, Di Yao, Zijie Xu, Chang Gong, Quanliang Jing, Shiwei Zhao, Runze Wu, Haining Tan, Zhipeng Hu, Tangjie Lv, Changjie Fan, Jingping Bi

IEEE Trans. Games, March, 2026

CAMA: Exploring Collusive Adversarial Attacks in c-MARL.

Men Niu, Xinxin Fan, Quanliang Jing, Shaoye Luo, Yunfeng Lu

CoRR, March, 2026

2025

FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE.

Wenbo Song, Xinxin Fan, Quanliang Jing, Shaoye Luo, Wenqi Wei, Chi Lin, Yunfeng Lu, Ling Liu

CoRR, November, 2025

Adversarial Pre-Padding: Generating Evasive Network Traffic Against Transformer-Based Classifiers.

Quanliang Jing, Xinxin Fan, Yanyan Liu, Jingping Bi

CoRR, October, 2025

SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach.

Shaoye Luo, Xinxin Fan, Quanliang Jing, Chi Lin, Mengfan Li, Yunfeng Lu, Yongjun Xu

CoRR, May, 2025

STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.

Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LDP: Latent Diffusion-based Adversarial Purification towards Transformer-based Visual Encoders.

Mengfan Li, Xinxin Fan, Quanliang Jing, Shaoye Luo, Yunfeng Lu, Jingping Bi

Proceedings of the 24th IEEE International Conference on Trust, 2025

SifterNet: Model-Agnostic Defense against Backdoor Attack in Vision Large Model.

Shaoye Luo, Xinxin Fan, Quanliang Jing, Men Niu, Chi Lin, Yunfeng Lu

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, 2025

2024

GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks.

Xinxin Fan, Mengfan Li, Jia Zhou, Quanliang Jing, Chi Lin, Yunfeng Lu, Jingping Bi

IEEE Trans. Consumer Electron., February, 2024

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.

Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

TAEffect: Quantifying interaction risks in trust-enabled communication systems.

Yunfeng Lu, Xinxin Fan, Quanliang Jing

Int. J. Commun. Syst., 2023

2022

GTAT: Adversarial Training with Generated Triplets.

Baoli Wang, Xinxin Fan, Quanliang Jing, Yueyang Su, Jingwei Li, Jingping Bi

Proceedings of the International Joint Conference on Neural Networks, 2022

Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation.

Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi

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

2021

Decentralized Trust Management: Risk Analysis and Trust Aggregation.

Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing, Jingping Bi

ACM Comput. Surv., 2021

Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation.

Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework.

Baoli Wang, Xinxin Fan, Quanliang Jing, Haining Tan, Jingping Bi

Proceedings of the International Joint Conference on Neural Networks, 2021

TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection.

Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi

Proceedings of the International Joint Conference on Neural Networks, 2021

TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning.

Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2018

SERL: Semantic-Path Biased Representation Learning of Heterogeneous Information Network.

Haining Tan, Weiqiang Tang, Xinxin Fan, Quanliang Jing, Jingping Bi

Proceedings of the Knowledge Science, Engineering and Management, 2018

2014

On the Prevention of Invalid Route Injection Attack.

Meng Li, Quanliang Jing, Zhongjiang Yao, Jingang Liu

Proceedings of the Intelligent Information Processing VII, 2014