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Haining Xie
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2020 – today
- 2025
[j1]Jie Jiang, Haining Xie, Siqi Shen, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yang Li, Chunyou Li, Danqing Huang, Yinjun Wu, Wentao Zhang, Xiaofeng Yang, Bin Cui, Peng Chen:
SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence. Proc. VLDB Endow. 18(12): 4860-4873 (2025)
[i3]Jie Jiang, Siqi Shen, Haining Xie, Yang Li, Yu Shen, Danqing Huang, Bo Qian, Yinjun Wu, Wentao Zhang, Bin Cui, Peng Chen:
SQLGovernor: An LLM-powered SQL Toolkit for Real World Application. CoRR abs/2509.08575 (2025)- 2024
[i2]Jie Jiang, Haining Xie, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yide Fang, Chunyou Li, Danqing Huang, Wentao Zhang, Yang Li, Xiaofeng Yang, Bin Cui, Peng Chen:
SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. CoRR abs/2411.06102 (2024)- 2023
[c3]Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen
, Shengping Liu, Kang Liu, Jun Zhao:
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. EMNLP (Demos) 2023: 479-494
[i1]Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen
, Shengping Liu, Kang Liu, Jun Zhao:
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. CoRR abs/2308.14353 (2023)- 2022
[c2]Haining Xie, Liming Zhuang, Xiang Wang:
Semi-supervised Learning Enabled Fault Analysis Method for Power Distribution Network Based on LSTM Autoencoder and Attention Mechanism. ICBDS 2022: 248-261
[c1]Haining Xie, Lijuan Chao:
Fault Detection Method for Power Distribution Network Based on Ensemble Learning. ICBDS 2022: 262-275
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