Metric Learning Based Vision Transformer for Product Matching. - Lei Huang; Wei Shao 009; Fuzhou Wang; Weidun Xie; Ka-Chun Wong (ICONIP (1), 2021)

A Pattern and POS Auto-Learning Method for Terminology Extraction from Scientific Text. - Wei Shao 009; Bolin Hua; Linqi Song (Data Inf. Manag., 2021)

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings. - Haochen Tan; Wei Shao 009; Han Wu 004; Ke Yang; Linqi Song (ACL (Findings), 2022)

Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. - Wei Shao 009; Lei Huang; Shuqi Liu 001; Shihua Ma; Linqi Song (IJCNN, 2022)

Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey. - Shuqi Liu 001; Wei Shao 009; Tan Li 002; Weitao Xu; Linqi Song (Digit. Signal Process., 2022)

BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis. - Wei Li 076; Wei Shao 009; Shaoxiong Ji; Erik Cambria (Neurocomputing, 2022)

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing. - Wei Li 076; Luyao Zhu; Wei Shao 009; Zonglin Yang 001; Erik Cambria (EMNLP (Findings), 2023)

Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts. - Haochen Tan; Han Wu 004; Wei Shao 009; Xinyun Zhang; Mingjie Zhan; Zhaohui Hou; Ding Liang; Linqi Song (EMNLP, 2023)

DistillCSE: Distilled Contrastive Learning for Sentence Embeddings. - Jiahao Xu 001; Wei Shao 009; Lihui Chen 001; Lemao Liu (EMNLP (Findings), 2023)

SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. - Jiahao Xu 001; Wei Shao 009; Lihui Chen 001; Lemao Liu (EMNLP, 2023)

Self-Supervised Sentence Compression for Meeting Summarization. - Haochen Tan; Han Wu 004; Wei Shao 009; Xinyun Zhang; Mingjie Zhan; Zhaohui Hou; Ding Liang; Linqi Song (CoRR, 2023)

ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. - Jiahao Xu 001; Wei Shao 009; Lihui Chen 001; Lemao Liu (CoRR, 2023)

A pruning-then-quantization model compression framework for facial emotion recognition. - Han Sun; Wei Shao 009; Tao Li; Jiayu Zhao; Weitao Xu; Linqi Song (Intell. Converged Networks, 2023)

CLOMO: Counterfactual Logical Modification with Large Language Models. - Yinya Huang; Ruixin Hong; Hongming Zhang 009; Wei Shao 009; Zhicheng Yang; Dong Yu 001; Changshui Zhang; Xiaodan Liang; Linqi Song (ACL (1), 2024)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions. - Sichun Luo; Wei Shao 009; Yuxuan Yao; Jian Xu; Mingyang Liu; Qintong Li; Bowei He; Maolin Wang 001; Guanzhi Deng; Hanxu Hou; Xinyi Zhang; Linqi Song (CoRR, 2024)

DiffETM: Diffusion Process Enhanced Embedded Topic Model. - Wei Shao 009; Mingyang Liu; Linqi Song (ICASSP, 2025)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Wei Shao 009; Yanlin Qi; Yinya Huang; Aojun Zhou; Yuxuan Yao; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (ACM Trans. Inf. Syst., 2025)