FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. - Xiaozhi Zhu; Leung-Pun Wong; Lap-Kei Lee; Hai Liu 006; Tianyong Hao (NLPCC (2), 2021)

Fast Sparse Grid Simulations of Fifth Order WENO Scheme for High Dimensional Hyperbolic PDEs. - Xiaozhi Zhu; Yong-Tao Zhang (J. Sci. Comput., 2021)

A Self-supervised Joint Training Framework for Document Reranking. - Xiaozhi Zhu; Tianyong Hao; Sijie Cheng; Fu Lee Wang; Hai Liu 006 (NAACL-HLT (Findings), 2022)

An Improved Partition Filter Network for Entity-Relation Joint Extraction. - Zhenjie Huang; Likeng Liang; Xiaozhi Zhu; Heng Weng; Jun Yan 010; Tianyong Hao (NCAA (1), 2022)

Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics. - Pan Du; Xiaozhi Zhu; Jian-Xun Wang 001 (CoRR, 2022)

MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications. - Cheng Xu; Xiaofeng Hou; Jiacheng Liu 001; Chao Li 009; Tianhao Huang; Xiaozhi Zhu; Mo Niu; Lingyu Sun; Peng Tang; Tongqiao Xu; Kwang-Ting Cheng; Minyi Guo (IISWC, 2023)

Sub-model Parallelism: A Scale-out Deployment Method for Large Multi-modal DNNs. - Tianhao Huang; Lingyu Sun; Xiaofeng Hou; Xiaozhi Zhu; Xinfeng Xia; Yutong Wang; Mingxi Chen; Chao Li 009 (CCGrid, 2024)

An End-to-End Benchmarking Tool for Analyzing the Hardware-Software Implications of Multi-modal DNNs. - Tianhao Huang; Xiaozhi Zhu; Mo Niu (SIGMETRICS Perform. Evaluation Rev., 2024)

Multi-stage enhanced representation learning for document reranking based on query view. - Hai Liu 006; Xiaozhi Zhu; Yong Tang 001; Chaobo He; Tianyong Hao (World Wide Web (WWW), 2024)

Convolutional Neural Network-Based Entity-Specific Common Feature Aggregation for Knowledge Graph Embedding Learning. - Kairong Hu; Xiaozhi Zhu; Hai Liu 006; Yingying Qu; Fu Lee Wang; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

SpaceExit: Enabling Efficient Adaptive Computing in Space with Early Exits. - Jiacheng Liu 001; Xiaozhi Zhu; Tongqiao Xu; Xiaofeng Hou; Chao Li 009 (USENIX ATC, 2025)

HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing. - Pan Du; Mingqi Xu; Xiaozhi Zhu; Jian-Xun Wang 001 (CoRR, 2025)