Feng Liang

According to our database, Feng Liang authored at least 20 papers between 2015 and 2026.

Collaborative distances:

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

2026

Training-free enhancement of satellite remote sensing VLMs via Geo-Contrastive Decoding.

Zixuan Shangguan, Jingrui Zhang, Ke Xing, Zhuohao Gong, Yong Zhang, Yimeng Xu, Feng Liang

J. Cloud Comput., December, 2026

MoChat: Joints-Grouped Spatio-Temporal Grounding Multimodal Large Language Model for Multi-Turn Motion Comprehension and Description.

Jiawei Mo, Yixuan Chen, Rifen Lin, Yongkang Ni, Feng Liang, Min Zeng, Xiping Hu, Min Li

IEEE J. Biomed. Health Informatics, March, 2026

Sparse Shortcuts: Facilitating Efficient Fusion in Multimodal Large Language Models.

Jingrui Zhang, Feng Liang, Yong Zhang, Wei Wang, Runhao Zeng, Xiping Hu

CoRR, February, 2026

FedSM: Semantic-Guided Feature Mixup for Bias Reduction in Federated Learning With Long-Tail Data.

Jingrui Zhang, Yimeng Xu, Shujie Li, Feng Liang, Haihan Duan, Yanjie Dong, Victor C. M. Leung, Xiping Hu

IEEE Internet Things J., 2026

2025

FedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data.

Jingrui Zhang, Yimeng Xu, Shujie Li, Feng Liang, Haihan Duan, Yanjie Dong, Victor C. M. Leung, Xiping Hu

CoRR, October, 2025

Skeleton-Based Pretraining With Discrete Labels for Emotion Recognition in IoT Environments.

Zhen Zhang, Feng Liang, Wei Wang, Runhao Zeng, Victor C. M. Leung, Xiping Hu

IEEE Internet Things J., 2025

FedPall: Prototype-Based Adversarial and Collaborative Learning for Federated Learning with Feature Drift.

Yong Zhang, Feng Liang, Guanghu Yuan, Min Yang, Chengming Li, Xiping Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Taste: Towards Practical Deep Learning-based Approaches for Semantic Type Detection in the Cloud.

Tao Li, Feng Liang, Jinqi Quan, Huang Chuang, Teng Wang, Runhuai Huang, Jie Wu, Xiping Hu

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

All Seeing Eyes: A Native-Resolution Vision-Language Framework for High-Fidelity Remote Sensing Image Understanding.

Jingrui Zhang, Yong Zhang, Yimeng Xu, Zixuan Shangguan, Lijie Zhang, Lihao Yang, Yang Zhou, Xiaoyi Fan, Feng Liang

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2025

Understanding Emotional Body Expressions via Large Language Models.

Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

RelJoin: Relative-cost-based selection of distributed join methods for query plan optimization.

Feng Liang, Francis C. M. Lau, Heming Cui, Yupeng Li, Bing Lin, Chengming Li, Xiping Hu

Inf. Sci., February, 2024

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused.

Dingwei Chen, Feiteng Fang, Shiwen Ni, Feng Liang, Ruifeng Xu, Min Yang, Chengming Li

CoRR, 2024

Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey.

Feng Liang, Zhen Zhang, Haifeng Lu, Chengming Li, Victor C. M. Leung, Yanyi Guo, Xiping Hu

CoRR, 2024

Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey.

Feng Liang, Zhen Zhang, Haifeng Lu, Victor C. M. Leung, Yanyi Guo, Xiping Hu

CoRR, 2024

Optimizing Sentiment Inference with Multi-Expert Models via Real-Time GPU Resource Monitoring.

Junqin Huang, Chuishuo Meng, Sen Wang, Feng Liang

Proceedings of the IEEE International Conference on Smart Internet of Things, 2024

2018

Confluence: Speeding Up Iterative Distributed Operations by Key-Dependency-Aware Partitioning.

Feng Liang, Francis C. M. Lau, Heming Cui, Cho-Li Wang

IEEE Trans. Parallel Distributed Syst., 2018

Cost-Driven Scheduling for Deadline-Based Workflow Across Multiple Clouds.

Wenzhong Guo, Bing Lin, Guolong Chen, Yuzhong Chen, Feng Liang

IEEE Trans. Netw. Serv. Manag., 2018

2017

Kakute: A Precise, Unified Information Flow Analysis System for Big-data Security.

Jianyu Jiang, Shixiong Zhao, Danish Alsayed, Yuexuan Wang, Heming Cui, Feng Liang, Zhaoquan Gu

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

BAShuffler: Maximizing Network Bandwidth Utilization in the Shuffle of YARN.

Feng Liang, Francis C. M. Lau

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

2015

SMapReduce: Optimising Resource Allocation by Managing Working Slots at Runtime.

Feng Liang, Francis C. M. Lau

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015