Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. - Tao Qi; Chuhan Wu; Fangzhao Wu; Suyu Ge; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CCKS, 2019)

Neural News Recommendation with Multi-Head Self-Attention. - Chuhan Wu; Fangzhao Wu; Suyu Ge; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. - Chuhan Wu; Fangzhao Wu; Tao Qi; Suyu Ge; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. - Suyu Ge; Tao Qi; Chuhan Wu; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2019)

THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. - Tao Qi; Suyu Ge; Chuhan Wu; Yubo Chen 002; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2019)

Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. - Suyu Ge; Tao Qi; Chuhan Wu; Yongfeng Huang 001 (SMM4H@ACL, 2019)

Helpfulness-aware review based neural recommendation. - Suyu Ge; Tao Qi; Chuhan Wu; Fangzhao Wu; Xing Xie 001; Yongfeng Huang 001 (CCF Trans. Pervasive Comput. Interact., 2019)

Graph Enhanced Representation Learning for News Recommendation. - Suyu Ge; Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (WWW, 2020)

FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. - Suyu Ge; Fangzhao Wu; Chuhan Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2020)

Improving Cyberbully Detection with User Interaction. - Suyu Ge; Lu Cheng 001; Huan Liu 001 (CoRR, 2020)

Improving Cyberbullying Detection with User Interaction. - Suyu Ge; Lu Cheng 001; Huan Liu 001 (WWW, 2021)

Fine-Grained Opinion Summarization with Minimal Supervision. - Suyu Ge; Jiaxin Huang 001; Yu Meng 001; Sharon Wang; Jiawei Han 001 (CoRR, 2021)

Active neural networks to detect mentions of changes to medication treatment in social media. - Davy Weissenbacher; Suyu Ge; Ari Z. Klein; Karen O'Connor; Robert Gross; Sean Hennessy; Graciela Gonzalez-Hernandez (J. Am. Medical Informatics Assoc., 2021)

Unsupervised Multi-Granularity Summarization. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (EMNLP (Findings), 2022)

Unsupervised Summarization with Customized Granularities. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (CoRR, 2022)

Toward Understanding Bias Correlations for Mitigation in NLP. - Lu Cheng 001; Suyu Ge; Huan Liu 001 (CoRR, 2022)

Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. - Suyu Ge; Chenyan Xiong; Corby Rosset; Arnold Overwijk; Jiawei Han 001; Paul Bennett 001 (EMNLP, 2023)

Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. - Sizhe Zhou; Suyu Ge; Jiaming Shen; Jiawei Han 001 (ECML/PKDD (4), 2023)

FineSum: Target-Oriented, Fine-Grained Opinion Summarization. - Suyu Ge; Jiaxin Huang 001; Yu Meng 001; Jiawei Han 001 (WSDM, 2023)

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. - Suyu Ge; Yunan Zhang 001; Liyuan Liu; Minjia Zhang; Jiawei Han 001; Jianfeng Gao 001 (ICLR, 2024)

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. - Suyu Ge; Chunting Zhou; Rui Hou; Madian Khabsa; Yi-Chia Wang; Qifan Wang 001; Jiawei Han 001; Yuning Mao (NAACL-HLT, 2024)

Efficient LLM Training and Serving with Heterogeneous Context Sharding among Attention Heads. - Xihui Lin; Yunan Zhang 001; Suyu Ge; Barun Patra; Vishrav Chaudhary; Xia Song (CoRR, 2024)

A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. - Suyu Ge; Xihui Lin; Yunan Zhang 001; Jiawei Han 001; Hao Peng 009 (ICLR, 2025)