Estimation of in-tube oil film thickness using electrical capacitance tomography. - Ziqiang Cui; Huaxiang Wang; Chengyi Yang; Yanbin Xu (I2MTC, 2013)

A local expansion propagation algorithm for social link identification. - Yuxiang Zhang 003; Jiamei Fu; Chengyi Yang; Chunjing Xiao (Knowl. Inf. Syst., 2019)

An Energy-aware Approach with Spectrum Detection in Wireless Sensor Networks. - Chengyi Yang; Feng Liu 039; Siyuan Shen; Jiayin Qi (EUC, 2021)

SAGN: Semantic Adaptive Graph Network for Skeleton-Based Human Action Recognition. - Ziwang Fu; Feng Liu 039; Jiahao Zhang; Hanyang Wang 001; Chengyi Yang; Qing Xu 012; Jiayin Qi; Xiangling Fu; Aimin Zhou (ICMR, 2021)

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. - Yuanyuan Chen; Zichen Chen; Sheng Guo; Yansong Zhao; Zelei Liu; Pengcheng Wu; Chengyi Yang; Zengxiang Li; Han Yu 001 (AAAI, 2023)

SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. - Chengyi Yang; Zhaoxiang Hou; Sheng Guo; Hui Chen; Zengxiang Li (ICME, 2023)

Factory Environmental Monitoring System based on Zigbee Technology and Multi-sensor Data Fusion. - Lu Feng; Wugang Lai; Chengyi Yang; Jianan Li; Biyun Yang (ICNCC, 2023)

A Fully Digital Implementation of A Reward-Modulated STDP Synapse. - Chengyi Yang; Kainang Wang; Aili Wang 002 (RICAI, 2023)

Hierarchical Federated Learning Incentivization for Gas Usage Estimation. - Has Sun; Xiaoli Tang 001; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu 001 (CoRR, 2023)

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. - Yulan Gao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Han Yu 001 (CoRR, 2023)

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. - Zengxiang Li; Zhaoxiang Hou; Hui Liu; Ying Wang 086; Tongzhi Li; Longfei Xie; Chao Shi; Chengyi Yang; Weishan Zhang; Zelei Liu; Liang Xu 009 (CoRR, 2023)

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. - Hao Sun; Xiaoli Tang 001; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu 001 (AAAI, 2024)

Wasserstein Differential Privacy. - Chengyi Yang; Jiayin Qi; Aimin Zhou (AAAI, 2024)

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. - Jianheng Huang; Leyang Cui; Ante Wang; Chengyi Yang; Xinting Liao; Linfeng Song; Junfeng Yao; Jinsong Su (ACL (1), 2024)

Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing. - Hao Yue; Shaopeng Lai; Chengyi Yang; Liang Zhang; Junfeng Yao; Jinsong Su (ACL (Findings), 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CIKM, 2024)

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. - Yulan Gao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Han Yu 001; Xiaoxiao Li (ICME, 2024)

Introducing Common Null Space of Gradients for Gradient Projection Methods in Continual Learning. - Chengyi Yang; Mingda Dong; Xiaoyue Zhang; Jiayin Qi; Aimin Zhou (ACM Multimedia, 2024)

Generating Prompts in Latent Space for Rehearsal-free Continual Learning. - Chengyi Yang; Wentao Liu; Shisong Chen; Jiayin Qi; Aimin Zhou (ACM Multimedia, 2024)

Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. - Zengxiang Li; Zhaoxiang Hou; Hui Liu; Tongzhi Li; Chengyi Yang; Ying Wang 086; Chao Shi; Longfei Xie; Weishan Zhang; Liang Xu 009; Zelei Liu (WWW (Companion Volume), 2024)

DP-GSGLD: A Bayesian optimizer inspired by differential privacy defending against privacy leakage in federated learning. - Chengyi Yang; Kun Jia 001; Deli Kong; Jiayin Qi; Aimin Zhou (Comput. Secur., 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CoRR, 2024)

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. - Xinxing Zhou; Jiaqi Ye; Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (CoRR, 2024)

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention. - Xinxing Zhou; Jiaqi Ye; Shubao Zhao; Ming Jin 005; Chengyi Yang; Yanlong Wen; Xiaojie Yuan (CoRR, 2024)

Rethinking self-supervised learning for time series forecasting: A temporal perspective. - Shubao Zhao; Xinxing Zhou; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022; Yanlong Wen; Xiaojie Yuan (Knowl. Based Syst., 2024)

WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection. - Chengyi Yang; Jia Liu; Hao Sun; Tongzhi Li; Zengxiang Li (IEEE Trans. Big Data, 2024)

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models. - Suhang Wu; Jialong Tang; Chengyi Yang; Pei Zhang 011; Baosong Yang; Junhui Li; Junfeng Yao; Min Zhang 005; Jinsong Su (ACL (1), 2025)

LagTS: Toward Adaptive Lag Relationship Modeling for Multivariate Time Series Forecasting. - Ciyi Liu; Jiaqi Ye; Zhenpeng Yu; Shubao Zhao; Zhaoxiang Hou; Chengyi Yang; Yanlong Wen; Xiaojie Yuan (ICASSP, 2025)

HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning. - Yuhang Niu; Jiaqi Ye; Shubao Zhao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (ICASSP, 2025)

Tribe Graph Enhanced Bidirectional Mamba for Multivariate Time Series Forecasting. - Yingqi Zhao; Haiwei Zhang; Jiaqi Ye; Shubao Zhao; Chengyi Yang; Zengxiang Li (ICASSP, 2025)

Prompt Compression based on Key-Information Density. - Yuhao Lin; Wenya Guo; Ying Zhang 015; Chengyi Yang; Zengxiang Li (Expert Syst. Appl., 2025)

Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation. - Sheng Guo 004; Hui Chen; Yang Liu 165; Chengyi Yang; Zengxiang Li; Cheng Hao Jin (IEEE Trans. Ind. Informatics, 2025)

STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design. - Kainan Wang; Chengyi Yang; Chengting Yu; Yee Sin Ang; Bo Wang; Aili Wang (CoRR, 2025)