SMapReduce: Optimising Resource Allocation by Managing Working Slots at Runtime. - Feng Liang 004; Francis C. M. Lau 001 (IPDPS, 2015)

BAShuffler: Maximizing Network Bandwidth Utilization in the Shuffle of YARN. - Feng Liang 004; Francis C. M. Lau 001 (HPDC, 2016)

Kakute: A Precise, Unified Information Flow Analysis System for Big-data Security. - Jianyu Jiang; Shixiong Zhao; Danish Alsayed; Yuexuan Wang; Heming Cui; Feng Liang 004; Zhaoquan Gu (ACSAC, 2017)

Cost-Driven Scheduling for Deadline-Based Workflow Across Multiple Clouds. - Wenzhong Guo; Bing Lin; Guolong Chen; Yuzhong Chen; Feng Liang 004 (IEEE Trans. Netw. Serv. Manag., 2018)

Confluence: Speeding Up Iterative Distributed Operations by Key-Dependency-Aware Partitioning. - Feng Liang 004; Francis C. M. Lau 001; Heming Cui; Cho-Li Wang (IEEE Trans. Parallel Distributed Syst., 2018)

Optimizing Sentiment Inference with Multi-Expert Models via Real-Time GPU Resource Monitoring. - Junqin Huang; Chuishuo Meng; Sen Wang; Feng Liang 004 (SmartIoT, 2024)

Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey. - Feng Liang 004; Zhen Zhang; Haifeng Lu; Victor C. M. Leung; Yanyi Guo; Xiping Hu (CoRR, 2024)

Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey. - Feng Liang 004; Zhen Zhang; Haifeng Lu; Chengming Li; Victor C. M. Leung; Yanyi Guo; Xiping Hu (CoRR, 2024)

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused. - Dingwei Chen; Feiteng Fang; Shiwen Ni; Feng Liang 004; Ruifeng Xu 001; Min Yang 007; Chengming Li (CoRR, 2024)

RelJoin: Relative-cost-based selection of distributed join methods for query plan optimization. - Feng Liang 004; Francis C. M. Lau 001; Heming Cui; Yupeng Li 001; Bing Lin; Chengming Li; Xiping Hu (Inf. Sci., 2024)

Understanding Emotional Body Expressions via Large Language Models. - Haifeng Lu; Jiuyi Chen; Feng Liang 004; Mingkui Tan; Runhao Zeng; Xiping Hu (AAAI, 2025)

Taste: Towards Practical Deep Learning-based Approaches for Semantic Type Detection in the Cloud. - Tao Li; Feng Liang 004; Jinqi Quan; Huang Chuang; Teng Wang; Runhuai Huang; Jie Wu; Xiping Hu (EDBT, 2025)

Skeleton-Based Pretraining With Discrete Labels for Emotion Recognition in IoT Environments. - Zhen Zhang; Feng Liang 004; Wei Wang 077; 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 004; Guanghu Yuan; Min Yang 007; Chengming Li; Xiping Hu (CoRR, 2025)