A Corpus for Reasoning About Natural Language Grounded in Photographs. - Alane Suhr; Stephanie Zhou; Iris Zhang; Huajun Bai; Yoav Artzi (CoRR, 2018)

A Corpus for Reasoning about Natural Language Grounded in Photographs. - Alane Suhr; Stephanie Zhou; Ally Zhang; Iris Zhang; Huajun Bai; Yoav Artzi (ACL (1), 2019)

A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model. - Yun-Fei Ma; Xisheng Jia; Qiwei Hu; Huajun Bai; Chiming Guo; Shuangchuan Wang (IEEE Access, 2020)

Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning. - Huajun Bai; Liang Wen; Yun-Fei Ma; Xisheng Jia (Sensors, 2022)

Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine. - Hao Yan; Huajun Bai; Xianbiao Zhan; Zhenghao Wu; Liang Wen; Xisheng Jia (Sensors, 2022)

FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy. - Zuhao Yang; Yingfang Yuan; Yang Xu; Shuo Zhan; Huajun Bai; Kefan Chen (NeurIPS, 2023)

Expressive user embedding from churn and recommendation multi-task learning. - Huajun Bai; Davide Liu; Thomas Hirtz; Alexandre Boulenger (WWW (Companion Volume), 2023)

PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy. - Zuhao Yang; Huajun Bai; Zhang Luo; Yang Xu; Wei Pang 001; Yue Wang; Yisheng Yuan; Yingfang Yuan (CoRR, 2023)

Intelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks. - Huajun Bai; Hong Yu; Hongxi Yao; Ling Chen; Hao Gui (Int. J. Comput. Intell. Syst., 2024)

PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation. - Zihao An; Huajun Bai; Ziqiong Liu; Dong Li; Emad Barsoum (CoRR, 2025)