A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis. - Caiyuan Chu; Yongxin Ge; Quan Qian; Boyu Hua; Jie Guo (Digit. Signal Process., 2022)

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. - Jia-Chen Gu; Chao-Hong Tan; Caiyuan Chu; Zhen-Hua Ling; Chongyang Tao; Quan Liu 003; Cong Liu 006 (EMNLP, 2023)

Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction. - Caiyuan Chu; Ya Li; Yifan Liu; Jia-Chen Gu; Quan Liu 003; Yongxin Ge; Guoping Hu (CoRR, 2023)

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. - Jia-Chen Gu; Chao-Hong Tan; Caiyuan Chu; Zhen-Hua Ling; Chongyang Tao; Quan Liu 003; Cong Liu 006; Guoping Hu (CoRR, 2023)