A Novel Approach for Adverse Events Detection. - Jia Zhu 003; Yuzhi Liang; Changqin Huang; Min Yang 007; Jing Xiao 005; Yong Tang 001 (KDH@IJCAI, 2017)

Relevant Fact Selection for QA via Sequence Labeling. - Yuzhi Liang; Jia Zhu 003; Yupeng Li 001; Min Yang 007; Siu-Ming Yiu (KSEM, 2017)

New Word Detection and Tagging on Chinese Twitter Stream. - Yuzhi Liang; Pengcheng Yin; Siu-Ming Yiu (Trans. Large Scale Data Knowl. Centered Syst., 2017)

Task-oriented keyphrase extraction from social media. - Min Yang 007; Yuzhi Liang; Wei Zhao 033; Wei Xu; Jia Zhu 003; Qiang Qu (Multim. Tools Appl., 2018)

Multi-Task Learning with Capsule Networks. - Kai Lei; Qiuai Fu; Yuzhi Liang (IJCNN, 2019)

An efficient automatic multiple objectives optimization feature selection strategy for internet text classification. - Changqin Huang; Jia Zhu 003; Yuzhi Liang; Min Yang 007; Gabriel Pui Cheong Fung; Junyu Luo 001 (Int. J. Mach. Learn. Cybern., 2019)

Out-domain Chinese new word detection with statistics-based character embedding. - Yuzhi Liang; Min Yang 007; Jia Zhu 003; Siu-Ming Yiu (Nat. Lang. Eng., 2019)

Tag recommendation by text classification with attention-based capsule network. - Kai Lei; Qiuai Fu; Min Yang 007; Yuzhi Liang (Neurocomputing, 2020)

Reachability preserving compression for dynamic graph. - Yuzhi Liang; Chen Chen; Yukun Wang; Kai Lei; Min Yang 007; Ziyu Lyu (Inf. Sci., 2020)

Congestion Control in SDN-Based Networks via Multi-Task Deep Reinforcement Learning. - Kai Lei; Yuzhi Liang; Wei Li (IEEE Netw., 2020)

Towards a Translation-Based Method for Dynamic Heterogeneous Network Embedding. - Kai Lei; Hao Ye; Yuzhi Liang; Jing Xiao 006; Peiwu Chen (ICC, 2021)

Answer Category-Aware Answer Selection for Question Answering. - Weijing Wu; Yang Deng 002; Yuzhi Liang; Kai Lei (IEEE Access, 2021)

Data-driven Smart Ponzi Scheme Detection. - Yuzhi Liang; Weijing Wu; Kai Lei; Feiyang Wang (CoRR, 2021)

DVFL: A Vertical Federated Learning Method for Dynamic Data. - Yuzhi Liang; Yixiang Chen (CoRR, 2021)

Automatic Mesh and Shader Level of Detail. - Yuzhi Liang; Qi Song; Rui Wang 004; Yuchi Huo; Hujun Bao (IEEE Trans. Vis. Comput. Graph., 2023)

GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning. - Shijie Na; Yuzhi Liang; Siu-Ming Yiu (CoRR, 2024)

A federated learning incentive mechanism in a non-monopoly market. - Shijie Na; Yuzhi Liang; Siu-Ming Yiu (Neurocomputing, 2024)

Towards interpretable stock trend prediction through causal inference. - Yiqi Deng; Yuzhi Liang; Siu-Ming Yiu (Expert Syst. Appl., 2024)

Adaptive sampling and reconstruction for gradient-domain rendering. - Yuzhi Liang; Tao Liu 016; Yuchi Huo; Rui Wang 004; Hujun Bao (Comput. Vis. Media, 2024)

Temporal-Aware Soft Prompt Tuning for Automatic Text Dating. - Hai Wang; Yuzhi Liang; Han Ren (NAACL (Long Papers), 2025)

A plug-and-play data-driven approach for anti-money laundering in bitcoin. - Yuzhi Liang; Weijing Wu; Ruiju Liang; Yixiang Chen; Kai Lei; Guo Zhong; Jingjing Zhang; Qingqing Gan; Jinsheng Huang (Expert Syst. Appl., 2025)

Locality adaptive incomplete multi-view subspace clustering. - Guo Zhong; Min Zhong; Shengqi Wu; Yuzhi Liang; Pengfei Song; Shixun Lin; Xiuyun Zhu (Data Min. Knowl. Discov., 2025)