He Cheng
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Papers

Peer-reviewed publications by He Cheng.
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8 papers

Peer-reviewed conference papers

2026ACLKnowledge GraphsLarge Language ModelsBiomedical NLP

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval

He Cheng, Yifu Wu, Saksham Khatwani, Maya Kruse, Dmitriy Dligach, Timothy A. Miller, Majid Afshar, and Yanjun Gao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)42478–42493DOI: 10.18653/v1/2026.acl-long.1966

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2025IEEE Big DataAnomaly DetectionBackdoor AttacksTrustworthy AI

BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection

He Cheng, Depeng Xu, and Shuhan Yuan

2025 IEEE International Conference on Big Data (IEEE BigData 2025)DOI: 10.1109/BigData66926.2025.11402072

Preprint
2025ACM Web ConferenceAnomaly DetectionBackdoor Attacks

Backdoor Attack against Log Anomaly Detection Models

He Cheng, Depeng Xu, and Shuhan Yuan

Companion Proceedings of the ACM Web Conference 2025915–918DOI: 10.1145/3701716.3715533

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2024ECML PKDDAnomaly DetectionExplainable AI

Achieving Counterfactual Explanation for Sequence Anomaly Detection

He Cheng, Depeng Xu, Shuhan Yuan, and Xintao Wu

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024)14948: 19–35DOI: 10.1007/978-3-031-70371-3_2

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2024PAKDDAnomaly DetectionBackdoor Attacks

Backdoor Attack Against One-Class Sequential Anomaly Detection Models

He Cheng and Shuhan Yuan

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024)262–274DOI: 10.1007/978-981-97-2259-4_20

Preprint Code
2023IJCNNAnomaly DetectionExplainable AI

Explainable Sequential Anomaly Detection via Prototypes

He Cheng, Depeng Xu, and Shuhan Yuan

International Joint Conference on Neural Networks (IJCNN 2023)1–8DOI: 10.1109/IJCNN54540.2023.10191703

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2022IEEE Big DataAnomaly DetectionExplainable AI

Sequential Anomaly Detection with Local and Global Explanations

He Cheng, Depeng Xu, and Shuhan Yuan

IEEE International Conference on Big Data (Big Data 2022)1212–1217DOI: 10.1109/BigData55660.2022.10020990

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2021IEEE Big DataAnomaly DetectionExplainable AI

InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data

Xiao Han, He Cheng, Depeng Xu, and Shuhan Yuan

IEEE International Conference on Big Data (Big Data 2021)1183–1192DOI: 10.1109/BigData52589.2021.9671642

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