Combining Large-Scale Unlabeled Corpus and Lexicon for Chinese Polysemous Word Similarity Computation. - Huiwei Zhou; Chen Jia; Yunlong Yang; Shixian Ning; Yingyu Lin; Degen Huang (CCIR, 2017)

Jointly Learning Bilingual Sentiment and Semantic Representations for Cross-Language Sentiment Classification. - Huiwei Zhou; Yunlong Yang; Zhuang Liu 001; Yingyu Lin; Pengfei Zhu; Degen Huang (CCIR, 2017)

Leveraging prior knowledge for protein-protein interaction extraction with memory network. - Huiwei Zhou; Zhuang Liu 001; Shixian Ning; Yunlong Yang; Chengkun Lang; Yingyu Lin; Kun Ma (Database J. Biol. Databases Curation, 2018)

Chemical-induced disease relation extraction with dependency information and prior knowledge. - Huiwei Zhou; Shixian Ning; Yunlong Yang; Zhuang Liu 001; Chengkun Lang; Yingyu Lin (J. Biomed. Informatics, 2018)

Knowledge-guided convolutional networks for chemical-disease relation extraction. - Huiwei Zhou; Chengkun Lang; Zhuang Liu 001; Shixian Ning; Yingyu Lin; Lei Du (BMC Bioinform., 2019)

Knowledge-aware attention network for protein-protein interaction extraction. - Huiwei Zhou; Zhuang Liu 001; Shixian Ning; Chengkun Lang; Yingyu Lin; Lei Du (J. Biomed. Informatics, 2019)

Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction. - Huiwei Zhou; Yunlong Yang; Shixian Ning; Zhuang Liu 001; Chengkun Lang; Yingyu Lin; Degen Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation. - Huiwei Zhou; Zhe Liu 020; Chengkun Lang; Yibin Xu; Yingyu Lin; Junjie Hou (BMC Bioinform., 2021)

Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. - Yingyu Lin; Yian Ma; Yu-Xiang Wang 003; Rachel Redberg (CoRR, 2023)

Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning. - Xuefei Li 005; Huiwei Zhou; Weihong Yao; Wenchu Li; Yingyu Lin; Lei Du (LREC/COLING, 2024)

Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. - Yingyu Lin; Yian Ma; Yu-Xiang Wang 003; Rachel Redberg; Zhiqi Bu (ICLR, 2024)

Temporal attention networks for biomedical hypothesis generation. - Huiwei Zhou; Haibin Jiang; Lanlan Wang; Weihong Yao; Yingyu Lin (J. Biomed. Informatics, 2024)

Contrasting Multi-Source Temporal Knowledge Graphs for Biomedical Hypothesis Generation. - Huiwei Zhou; Wenchu Li; Weihong Yao; Yingyu Lin; Lei Du (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning. - Xuefei Li 005; Huiwei Zhou; Weihong Yao; Wenchu Li; Baojie Liu; Yingyu Lin (ACM Trans. Knowl. Discov. Data, 2024)

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. - Yingyu Lin; Yuxing Huang; Wenqin Liu; Haoran Deng; Ignavier Ng; Kun Zhang 001; Mingming Gong; Yian Ma; Biwei Huang (ICLR, 2025)

Purifying Approximate Differential Privacy with Randomized Post-processing. - Yingyu Lin; Erchi Wang; Yi-An Ma; Yu-Xiang Wang 003 (CoRR, 2025)

Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion. - Xunpeng Huang; Yingyu Lin; Nikki Lijing Kuang; Hanze Dong; Difan Zou; Yian Ma; Tong Zhang 001 (CoRR, 2025)