Qi Wang

According to our database, Qi Wang authored at least 28 papers between 2019 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

Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation.

Yanlong Li, Jindong Li, Qi Wang, Menglin Yang, He Kong, Shengsheng Wang

CoRR, January, 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

2024

A Symbol-Level Optimization Method for Block Precoding in Wireless Communication.

Qi Wang, Chen Zhuang, Wuyang Zhou

IEEE Internet Things J., January, 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

Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation.

Yongguang Li, Yueqi Cao, Jindong Li, Qi Wang, Shengsheng Wang

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

FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection.

Rui Cao, Shijie Xue, Jindong Li, Qi Wang, Yi Chang

CoRR, 2024

ScreenAgent: A Vision Language Model-driven Computer Control Agent.

Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Class-rebalanced wasserstein distance for multi-source domain adaptation.

Qi Wang, Shengsheng Wang, Bilin Wang

Appl. Intell., April, 2023

A MSE-Based Interference Exploitation 1-Bit Precoding for QAM Constellations.

Qi Wang, Wuyang Zhou

Proceedings of the International Conference on Wireless Communications and Signal Processing, 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

Two-Stage Beamforming Design for Massive MIMO with Finite-Alphabet Inputs.

Conghao Zhang, Qi Wang, Wuyang Zhou

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2021

Optimal HAP Deployment and Power Control for Space-Air-Ground IoRT Networks.

Chaoyi Zhu, Yitao Li, Manqing Zhang, Qi Wang, Wuyang Zhou

Proceedings of the IEEE Wireless Communications and Networking Conference, 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

An Optimization Method for the Gateway Station Deployment in LEO Satellite Systems.

Chaoyi Zhu, Yitao Li, Manqing Zhang, Qi Wang, Wuyang Zhou

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Ka-band Based Channel Modeling and Analysis in High Altitude Platform(HAP) System.

Jiarui Zhao, Qi Wang, Yitao Li, Jiaxi Zhou, Wuyang Zhou

Proceedings of the 91st IEEE Vehicular Technology Conference, 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

Dynamic Downlink Resource Allocation Based on Imperfect Estimation in LEO-HAP Cognitive System.

Shiqi Wang, Yitao Li, Qi Wang, Man Su, Wuyang Zhou

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

A UAV Real-time Trajectory Optimized Strategy for Moving Users.

Gengxin Li, Chen Zhuang, Qi Wang, Yitao Li, Xiaoshen Xu, Wuyang Zhou

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Handover Procedure Design and Performance Optimization Strategy in LEO-HAP System.

Kailun Li, Yitao Li, Zhenkun Qiu, Qi Wang, Junqi Lu, Wuyang Zhou

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 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