Analysis of the function of an accelerometer as feedback instrument within a lateral autopilot. - Xiaojing Du; Li Liu; Huaijian Li (ICCA, 2010)

The ASIC Implementation of SM3 Hash Algorithm for High Throughput. - Xiaojing Du; Shuguo Li (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Super edge connectivity of direct product of graphs. - Huiwen Cheng; Xiaoxia Ma; Xiaojing Du (Ars Comb., 2018)

An Efficient LEO Global Navigation Constellation Design Based on Walker Constellation. - Yanbo Wei; Huaijian Li; Xiaojing Du (ComComAP, 2020)

Causality Extraction in Futures Domain. - Yuxiang Jia; Le Kang; Huiyong Sun; Xiaojing Du; Shuai Cao; Hongying Zan; Fang Li (IALP, 2021)

Hybrid Deep Spatio-Temporal Models for Traffic Flow Prediction on Holidays and Under Adverse Weather. - Wensong Zhang; Ronghan Yao; Xiaojing Du; Jinsong Ye (IEEE Access, 2021)

Building a Corpus for Chinese Causality Extraction in Futures Domain. - Huiyong Sun; Yuxiang Jia; Xiaojing Du; Shuai Cao; Hongying Zan (CLSW (2), 2022)

MRC-Based Medical NER with Multi-task Learning and Multi-strategies. - Xiaojing Du; Yuxiang Jia; Hongying Zan (CCL, 2022)

Stable Causal Feature Selection based on Direct Causal Effect Estimation. - Xiaojing Du; Qingfeng Chen; Debo Cheng; Qian Huang; Junyue Cao; Zhenyun Deng; Shichao Zhang 001 (HPCC/DSS/SmartCity/DependSys, 2022)

MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training. - Xiaojing Du; Hanjie Zhao; Danyan Xing; Yuxiang Jia; Hongying Zan (LREC/COLING, 2024)

Estimating Peer Direct and Indirect Effects in Observational Network Data. - Xiaojing Du; Jiuyong Li; Debo Cheng; Lin Liu 003; Wentao Gao; Xiongren Chen (CoRR, 2024)

A Deconfounding Approach to Climate Model Bias Correction. - Wentao Gao; Jiuyong Li; Debo Cheng; Lin Liu 003; Jixue Liu; Thuc Duy Le; Xiaojing Du; Xiongren Chen; Yanchang Zhao; Yun Chen 010 (CoRR, 2024)

Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks. - Xiaojing Du; Feiyu Yang; Wentao Gao; Xiongren Chen (CoRR, 2024)

Mitigating Dual Latent Confounding Biases in Recommender Systems. - Jianfeng Deng; Qingfeng Chen; Debo Cheng; Jiuyong Li; Lin Liu 003; Xiaojing Du (CoRR, 2024)

Deconfounding Time Series Forecasting. - Wentao Gao; Feiyu Yang; Mengze Hong; Xiaojing Du; Zechen Hu; Xiongren Chen; Ziqi Xu 001 (CoRR, 2024)

A traffic-weather generative adversarial network for traffic flow prediction for road networks under bad weather. - Wensong Zhang; Ronghan Yao; Ying Yuan; Xiaojing Du; Libing Wang; Feng Sun (Eng. Appl. Artif. Intell., 2024)

Diffusion Models for Attribution. - Xiongren Chen; Jiuyong Li; Jixue Liu; Lin Liu 003; Stefan Peters; Thuc Duy Le; Wentao Gao; Xiaojing Du; Anthony Walsh (AAAI, 2025)

RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation. - Huijun Wang; Xiaojing Du; Xinkun Hao (IEEE Access, 2025)

Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders. - Xiaojing Du; Jiuyong Li; Lin Liu 003; Debo Cheng; Thuc Duy Le (CoRR, 2025)