An Interpretation of Erlang into Value-passing Calculus. - Hao Huang; Fei Yang 007 (J. Networks, 2013)

Executable Behaviour and the $π$-Calculus. - Bas Luttik; Fei Yang 007 (CoRR, 2014)

Executable Behaviour and the π-Calculus (extended abstract). - Bas Luttik; Fei Yang 007 (ICE, 2015)

On the Executability of Interactive Computation. - Bas Luttik; Fei Yang 007 (CiE, 2016)

Sequential Composition in the Presence of Intermediate Termination. - Jos C. M. Baeten; Bas Luttik; Fei Yang 007 (CoRR, 2017)

Sequential Composition in the Presence of Intermediate Termination (Extended Abstract). - Jos C. M. Baeten; Bas Luttik; Fei Yang 007 (EXPRESS/SOS, 2017)

Meta Distant Transfer Learning for Pre-trained Language Models. - Chengyu Wang 001; Haojie Pan; Minghui Qiu; Jun Huang 007; Fei Yang 007; Yin Zhang 006 (EMNLP (1), 2021)

An effective coaxiality error measurement for twist drill based on line structured light sensor. - Ailing Cheng; Jiaojiao Ye; Fei Yang 007; Shufang Lu; Fei Gao 014 (CoRR, 2021)

Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey. - Shangwei Guo; Xu Zhang; Fei Yang 007; Tianwei Zhang 004; Yan Gan; Tao Xiang 001; Yang Liu 003 (CoRR, 2021)

The π-Calculus is Behaviourally Complete and Orbit-Finitely Executable. - Bas Luttik; Fei Yang 007 (Log. Methods Comput. Sci., 2021)

Towards Unified Prompt Tuning for Few-shot Text Classification. - Jianing Wang 002; Chengyu Wang 001; Fuli Luo; Chuanqi Tan; Minghui Qiu; Fei Yang 007; Qiuhui Shi; Songfang Huang; Ming Gao 001 (EMNLP (Findings), 2022)

Complementary characteristics fusion network for weakly supervised salient object detection. - Yan Liu 080; Yunzhou Zhang; Zhenyu Wang 010; Fei Yang 007; Cao Qin; Feng Qiu; Sonya Coleman; Dermot Kerr (Image Vis. Comput., 2022)

ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding. - Chengyu Wang 001; Suyang Dai; Yipeng Wang 013; Fei Yang 007; Minghui Qiu; Kehan Chen; Wei Zhou; Jun Huang 007 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

An Effective Coaxiality Measurement for Twist Drill Based on Line Structured Light Sensor. - Ailing Cheng; Jiaojiao Ye; Fei Yang 007; Shufang Lu; Fei Gao 014 (IEEE Trans. Instrum. Meas., 2022)

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. - Zheng Yuan 013; Fajie Yuan; Yu Song 007; Youhua Li; Junchen Fu; Fei Yang 007; Yunzhu Pan; Yongxin Ni (SIGIR, 2023)

A novel seminar learning framework for weakly supervised salient object detection. - Yan Liu 080; Yunzhou Zhang; Zhenyu Wang 010; Fei Yang 007; Feng Qiu; Sonya Coleman; Dermot Kerr (Eng. Appl. Artif. Intell., 2023)

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment. - Fei Yang 007; Shuang Peng; Ning Sun; Fangyu Wang; Yuanyuan Wang; Fu Wu; Jiezhong Qiu; Aimin Pan (ICPP, 2024)

MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization. - Yanfeng Jiang; Ning Sun; Zhengxian Lu; Shuang Peng; Yi Zhang; Fei Yang 007; Tao Li 022 (IJCNN, 2024)

Quantitative evaluation of deep learning frameworks in heterogeneous computing environment. - Zhengxian Lu; Chengkun Du; Yanfeng Jiang; Xueshuo Xie; Tao Li 022; Fei Yang 007 (CCF Trans. High Perform. Comput., 2024)

Robust and privacy-preserving collaborative training: a comprehensive survey. - Fei Yang 007; Xu Zhang; Shangwei Guo; Daiyuan Chen; Yan Gan; Tao Xiang 001; Yang Liu 003 (Artif. Intell. Rev., 2024)

ADFQ-ViT: Activation-Distribution-Friendly post-training Quantization for Vision Transformers. - Yanfeng Jiang; Ning Sun; Xueshuo Xie; Fei Yang 007; Tao Li 022 (Neural Networks, 2025)

On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers. - Zhengxian Lu; Fangyu Wang; Zhiwei Xu; Fei Yang 007; Tao Li 022 (Softw. Pract. Exp., 2025)

Deep Face Leakage: Inverting High-Quality Faces From Gradients Using Residual Optimization. - Xu Zhang; Tao Xiang 001; Shangwei Guo; Fei Yang 007; Tianwei Zhang 004 (IEEE Trans. Image Process., 2025)

LaRA: Layer-wise rank allocation for efficient fine-tuning of pruned large language models. - Yuhua Zhou; Changhai Zhou; Shiyang Zhang; Fei Yang 007; Yi Zhang; Aimin Pan (Inf. Process. Manag., 2026)