Qianli Xing

According to our database, Qianli Xing authored at least 18 papers between 2013 and 2025.

Collaborative distances:

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

2025

ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments.

He Kong, Qianli Xing, Qi Wang, Runliang Niu, Hechang Chen, Yu Wang, Shiqi Wang, Zhiyi Duan, Yi Chang

IEEE Trans. Intell. Transp. Syst., July, 2025

Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering.

Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu, Shengsheng Wang, Menglin Yang

CoRR, April, 2025

GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model.

Yali Fu, Jindong Li, Qi Wang, Qianli Xing

CoRR, March, 2025

Learn to explain transformer via interpretation path by reinforcement learning.

Runliang Niu, Qi Wang, He Kong, Qianli Xing, Yi Chang, Philip S. Yu

Neural Networks, 2025

PerCNet: Periodic complete representation for crystal graphs.

Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang

Neural Networks, 2025

2024

Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks.

Haihong Zhao, Bo Yang, Jiaxu Cui, Qianli Xing, Jiaxing Shen, Fujin Zhu, Jiannong Cao

IEEE Trans. Mob. Comput., April, 2024

Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond.

Qi Wang, Jindong Li, Shiqi Wang, Qianli Xing, Runliang Niu, He Kong, Rui Li, Guodong Long, Yi Chang, Chengqi Zhang

CoRR, 2024

HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection.

Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Qi Wang, Irwin King

CoRR, 2024

ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction.

Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang

CoRR, 2024

2023

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.

Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., June, 2023

CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly Detection.

Jindong Li, Qianli Xing, Qi Wang, Yi Chang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2021

WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms.

Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

TWLR: A Novel Truth Inference Approach based on Worker Representations for Crowdsourcing in the Low Redundancy Situation.

Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

2020

PB-Worker: A Novel Participating Behavior-based Worker Ability Model for General Tasks on Crowdsourcing Platforms.

Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks.

Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing

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

2019

GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing.

Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, Mei Wang

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction.

Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2013

Co-training algorithm based on on-line boosting for vehicle tracking.

Wenhui Li, Peixun Liu, Ying Wang, Yuchao Zhou, Lei Wang, Chao Wen, Hongyin Ni, Qianli Xing

Proceedings of the IEEE International Conference on Information and Automation, 2013