| 2025 | ICONIP | HEMQ: Towards More Accurate Post-training Mixed-Precision Quantization of Neural Networks. | Yong Yuan, Hang Shi, Yuan Gao |
| 2025 | ICPADS | Seller-Directed Descending Price Auction: A Novel Welfare-Maximizing Trading Mechanism for Blockchain-Based Data Markets. | Lu Liu, Yong Yuan, Xuan Liu, Yuanyuan Ke, Keke Gai |
| 2024 | ICPADS | BELFAL: A Blockchain-based Ensemble Learning Framework for Anti-money Laundering in Crypto-Currency Markets. | Ziye Li, Ruizhe Yao, Dong Yang, Yifei Zhang, Hanyu Mao, Yong Yuan |
| 2024 | IPCCC | AST-Trans: Detecting Web Tracking using Transformer-based Deep Learning with Abstract Syntax Tree. | Yong Yuan, Ziling Wei, Lin Liu, Shuhui Chen, Jinshu Su |
| 2023 | CIKM | Query-dominant User Interest Network for Large-Scale Search Ranking. | Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou |
| 2020 | ICPR | Towards Low-Bit Quantization of Deep Neural Networks with Limited Data. | Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng |
| 2020 | IJCNN | EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search. | Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng |
| 2019 | ICONIP | TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks. | Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng |
| 2019 | ISPA | Feature Selection Algorithm Based on Sparse Score and Correlation Analysis. | Shanliang Xue, Sijia Cheng, Mengying Li, Yong Yuan |
| 2018 | SMC | How Reporting Policies Influence Employee Performance: An Empirical Study. | Juanjuan Li, Shuai Wang, Xiaochun Ni, Yong Yuan, Fei-Yue Wang |
| 2018 | SMC | Optimal Share Reporting Strategies for Blockchain Miners in PPLNS Pools. | Rui Qin, Yong Yuan, Fei-Yue Wang |
| 2017 | SMC | The impact of reserve price on publisher revenue in real-time bidding advertising markets. | Juanjuan Li, Xiaochun Ni, Yong Yuan, Rui Qin, Xiao Wang, Fei-Yue Wang |
| 2017 | SMC | Revenue models for demand side platforms in real time bidding advertising. | Rui Qin, Xiaochun Ni, Yong Yuan, Juanjuan Li, Fei-Yue Wang |
| 2017 | SMC | Optimizing the revenue for ad exchanges in header bidding advertising markets. | Rui Qin, Yong Yuan, Fei-Yue Wang |
| 2017 | SMC | E-learning recommendation framework based on deep learning. | Xiao Wang, Yuanyuan Zhang, Shengnan Yu, Xiwei Liu, Yong Yuan, Fei-Yue Wang |
| 2017 | SMC | Maximizing time-discounted influential sustainability in social networks. | Shuai Zeng, Xiaochun Ni, Juanjuan Li, Yong Yuan, Shuai Wang |
| 2016 | SMC | Optimal allocation of ad inventory in real-time bidding advertising markets. | Juanjuan Li, Xiaochun Ni, Yong Yuan, Rui Qin, Fei-Yue Wang |
| 2016 | SMC | Optimizing the segmentation granularity for RTB advertising markets with a two-stage resale model. | Rui Qin, Yong Yuan, Juanjuan Li, Fei-Yue Wang |
| 2008 | VTC | Tag Count Frame Slotted Aloha: A Novel Anti-Collision Protocol in RFID Systems. | Xiaodong Deng, Mengtian Rong, Tao Liu, Yong Yuan, Dan Yu |
| 2008 | WCNC | Segmented Cyclic Redundancy Check: A Data Protection Scheme for Fast Reading RFID Tag's Memory. | Xiaodong Deng, Mengtian Rong, Tao Liu, Yong Yuan, Dan Yu |
| 2007 | SNPD | Multi-issue Negotiation Research based on Niched Co-evolutionary Genetic Algorithm. | Yong Yuan, Yong-quan Liang |
| 2005 | ISCC | Virtual MIMO Protocol Based on Clustering for Wireless Sensor Network. | Wenqing Chen, Yong Yuan, Changchun Xu, Kezhong Liu, Zongkai Yang |