Orthogonal Policy Gradient and Autonomous Driving Application. - Mincong Luo; Yin Tong; Jiachi Liu (CoRR, 2018)

Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. - Liwen Wang; Xuefeng Li 002; Jiachi Liu; Keqing He 001; Yuanmeng Yan; Weiran Xu (EMNLP (1), 2021)

A Robust Contrastive Alignment Method for Multi-Domain Text Classification. - Xuefeng Li 002; Hao Lei; Liwen Wang; Guanting Dong; Jinzheng Zhao; Jiachi Liu; Weiran Xu; Chunyun Zhang (ICASSP, 2022)

Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System. - Tao Zhu; Zhe Zhao 006; Weijie Liu 002; Jiachi Liu; Yiren Chen; Weiquan Mao; Haoyan Liu; Kunbo Ding; Yudong Li 001; Xuefeng Yang (NAACL-HLT (Industry Papers), 2022)

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. - Xuefeng Li 002; Liwen Wang; Guanting Dong; Keqing He 001; Jinzheng Zhao; Hao Lei; Jiachi Liu; Weiran Xu (ACL (Findings), 2023)

SIAST: A Slot Imbalance-Aware Self-Training Scheme for Semi-Supervised Slot Filling. - Jiachi Liu; Sishi Xiong; Yuehuan He; Tong Zhou; Liwen Wang; Xuefeng Li; Bo Xiao (ICASSP, 2023)

Feature Space Manipulation and Fusion for Severe Imbalanced Data. - Tong Zhou; Fengming Liang; Jiachi Liu; Sishi Xiong; Bo Xiao; Qiao Chen; Jun Zhou; Xueqin Xie; Lizhi Jin (IC-NIDC, 2023)

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. - Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He 001; Bo Xiao; Weiran Xu (CoRR, 2023)

Toward lightweight image super-resolution via re-parameterized kernel recalibration. - Dongyang Zhang 001; Jiachi Liu; Shuang Liang 002; Xiurui Xie; Qiang Dong; Ke Qin (Knowl. Based Syst., 2025)