Publications
Selected papers on named entity recognition, image captioning, and efficient Mixture-of-Experts inference. Author names in bold are mine.
Published in The ACM Web Conference (WWW), 2026
Cross-layer gating for faster MoE inference on edge devices. The ACM Web Conference (WWW), 2026.
Recommended citation: Fang, Zhiyuan, Xingfan Yu, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, and Fan Yu. "Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate." In Proceedings of the ACM Web Conference 2026, pp. 5537–5546. https://arxiv.org/abs/2502.12224
Published in ASPLOS 2025, 2025
Expert-aware multi-batch pipelining for MoE inference, with up to 85.12× throughput improvement. ASPLOS 2025.
Recommended citation: Fang, Zhiyuan, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu, and Zibin Zheng. "Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline." In Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, pp. 574–588. 2025. https://arxiv.org/abs/2502.06888
Published in PRICAI 2022, 2022
A two-pass deliberation Transformer with an incremental context encoder for image captioning. PRICAI 2022 (CCF C).
Recommended citation: Lai, Xinyi, Yufeng Lyu, Jiang Zhong, Chen Wang, Qizhu Dai, and Gang Li. "ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning." In Pacific Rim International Conference on Artificial Intelligence, pp. 444–458. 2022. /files/PRICAI_2022.pdf
Published in ECIR 2021, 2021
A two-phase NER framework that matches candidate spans to entity types with prior knowledge. ECIR 2021 (CCF C).
Recommended citation: Lyu, Yufeng, and Jiang Zhong. "DSMER: A Deep Semantic Matching Based Framework for Named Entity Recognition." In European Conference on Information Retrieval, pp. 419–432. 2021. /files/ECIR_2021.pdf
