Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (EMNLP (Findings), 2020)

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering. - Xin Cong; Bowen Yu 002; Tingwen Liu; Shiyao Cui; Hengzhu Tang; Bin Wang 004 (ECML/PKDD (2), 2020)

Event Detection with Relation-Aware Graph Convolutional Neural Networks. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (CoRR, 2020)

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Shiyao Cui; Bowen Yu 002; Xin Cong; Tingwen Liu; Quangang Li; Jinqiao Shi (CoRR, 2020)

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. - Xin Cong; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Yubin Wang; Bin Wang 004 (ACL/IJCNLP (Findings), 2021)

An Implementation and Optimization Method of RTLS Based on UWB for Underground Mine. - Zerui Fang; Shiyao Cui; Qing Su; Suzhen Wang (TrustCom, 2021)

Event Causality Extraction with Event Argument Correlations. - Shiyao Cui; Jiawei Sheng; Xin Cong; Quangang Li; Tingwen Liu; Jinqiao Shi (COLING, 2022)

Document-Level Event Extraction via Human-Like Reading Process. - Shiyao Cui; Xin Cong; Bowen Yu 002; Tingwen Liu; Yucheng Wang; Jinqiao Shi (ICASSP, 2022)

Relation-Guided Few-Shot Relational Triple Extraction. - Xin Cong; Jiawei Sheng; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. - Jiawei Sheng; Rui Sun; Shu Guo; Shiyao Cui; Jiangxia Cao; Lihong Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2022)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002; Lihong Wang (ACL (Findings), 2023)

URM4DMU: An User Representation Model for Darknet Markets Users. - Hongmeng Liu; Jiapeng Zhao; Yixuan Huo; Yuyan Wang; Chun Liao; Liyan Shen; Shiyao Cui; Jinqiao Shi (ICASSP, 2023)

URM4DMU: an user represention model for darknet markets users. - Hongmeng Liu; Jiapeng Zhao; Yixuan Huo; Yuyan Wang; Chun Liao; Liyan Shen; Shiyao Cui; Jinqiao Shi (CoRR, 2023)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002 (CoRR, 2023)

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction. - Shiyao Cui; Xin Cong; Jiawei Sheng; Xuebin Wang; Tingwen Liu; Jinqiao Shi (CoRR, 2023)

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity. - Shiyao Cui; Zhenyu Zhang 006; Yilong Chen; Wenyuan Zhang 002; Tianyun Liu; Siqi Wang; Tingwen Liu (CoRR, 2023)

LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Shiyao Cui; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003 (ACL (1), 2024)

NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. - Yilong Chen; Guoxia Wang; Junyuan Shang; Shiyao Cui; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun; Dianhai Yu; Hua Wu 003 (ACL (1), 2024)

An Effective Span-based Multimodal Named Entity Recognition with Consistent Cross-Modal Alignment. - Yongxiu Xu; Hao Xu; Heyan Huang; Shiyao Cui; Minghao Tang; Longzheng Wang; Hongbo Xu (LREC/COLING, 2024)

Towards Persona-Oriented LLM-Generated Text Detection: Benchmark Dataset and Method. - Siqi Wang; Shiyao Cui; Chuang Zhang; Zefeng Zhang; Jing Wang; Tingwen Liu (ICANN (7), 2024)

Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion. - Wenhao Zhang; Shiyao Cui; Wenyuan Zhang 002; Xinghua Zhang 001; Tingwen Liu; Hongbo Xu (ICASSP, 2024)

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. - Wenyuan Zhang 002; Xinghua Zhang 001; Shiyao Cui; Kun Huang; Xuebin Wang; Tingwen Liu (ICASSP, 2024)

Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization. - Minghuan Yuan; Shiyao Cui; Xinghua Zhang 001; Shicheng Wang; Hongbo Xu; Tingwen Liu (SIGIR, 2024)

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. - Xinghua Zhang 001; Gaode Chen; Shiyao Cui; Jiawei Sheng; Tingwen Liu; Hongbo Xu (SIGIR, 2024)

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. - Zhexin Zhang; Junxiao Yang; Pei Ke; Shiyao Cui; Chujie Zheng; Hongning Wang; Minlie Huang (CoRR, 2024)

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time. - Yilong Chen; Guoxia Wang; Junyuan Shang; Shiyao Cui; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Dianhai Yu; Hua Wu 003 (CoRR, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

The Superalignment of Superhuman Intelligence with Large Language Models. - Minlie Huang; Yingkang Wang; Shiyao Cui; Pei Ke; Jie Tang 001 (CoRR, 2024)

Agent-SafetyBench: Evaluating the Safety of LLM Agents. - Zhexin Zhang; Shiyao Cui; Yida Lu; Jingzhuo Zhou; Junxiao Yang; Hongning Wang; Minlie Huang (CoRR, 2024)

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. - Shiyao Cui; Jiangxia Cao; Xin Cong; Jiawei Sheng; Quangang Li; Tingwen Liu; Jinqiao Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network. - Shiyao Cui; Bo-Wen Yu; Xin Cong; Tingwen Liu; Qingfeng Tan; Jinqiao Shi (J. Comput. Sci. Technol., 2024)

A Survey on Deep Learning Event Extraction: Approaches and Applications. - Qian Li 033; Jianxin Li 002; Jiawei Sheng; Shiyao Cui; Jia Wu 001; Yiming Hei; Hao Peng 001; Shu Guo; Lihong Wang; Amin Beheshti; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

LongSafety: Evaluating Long-Context Safety of Large Language Models. - Yida Lu; Jiale Cheng; Zhexin Zhang; Shiyao Cui; Cunxiang Wang; Xiaotao Gu; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (ACL (1), 2025)

Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings. - Shujian Yang; Shiyao Cui; Chuanrui Hu; Haicheng Wang; Tianwei Zhang 004; Minlie Huang; Jialiang Lu; Han Qiu 001 (ACL (Findings), 2025)

Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints. - Junxiao Yang; Zhexin Zhang; Shiyao Cui; Hongning Wang; Minlie Huang (ACL (1), 2025)

Human Decision-making is Susceptible to AI-driven Manipulation. - Sahand Sabour; June M. Liu; Siyang Liu 003; Chris Z. Yao; Shiyao Cui; Xuanming Zhang; Wen Zhang; Yaru Cao; Advait Bhat; Jian Guan 002; Wei Wu 014; Rada Mihalcea; et al. (CoRR, 2025)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement. - Zhexin Zhang; Leqi Lei; Junxiao Yang; Xijie Huang; Yida Lu; Shiyao Cui; Renmiao Chen; Qinglin Zhang; Xinyuan Wang 009; Hao Wang; Hao Li; Xianqi Lei; et al. (CoRR, 2025)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. - Junxiao Yang; Jinzhe Tu; Haoran Liu; Xiaoce Wang; Chujie Zheng; Zhexin Zhang; Shiyao Cui; Caishun Chen; Tiantian He 001; Hongning Wang; Yew-Soon Ong; Minlie Huang (CoRR, 2025)

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs. - Shiyao Cui; Qinglin Zhang; Xuan Ouyang; Renmiao Chen; Zhexin Zhang; Yida Lu; Hongning Wang; Han Qiu 001; Minlie Huang (CoRR, 2025)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. - Zhexin Zhang; Xian Qi Loye; Victor Shea-Jay Huang; Junxiao Yang; Qi Zhu 011; Shiyao Cui; Fei Mi; Lifeng Shang; Yingkang Wang; Hongning Wang; Minlie Huang (CoRR, 2025)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen! - Zhexin Zhang; Yuhao Sun; Junxiao Yang; Shiyao Cui; Hongning Wang; Minlie Huang (CoRR, 2025)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering. - Renmiao Chen; Shiyao Cui; Xuancheng Huang; Chengwei Pan; Victor Shea-Jay Huang; Qinglin Zhang; Xuan Ouyang; Zhexin Zhang; Hongning Wang; Minlie Huang (CoRR, 2025)