Deep Transfer Tensor Factorization for Multi-View Learning. - Penghao Jiang; Ke Xin; Chunxi Li (ICDM (Workshops), 2022)

A Programmable High-Voltage Pulse Transmitter Circuit for 3-D Miniature Ultrasound Probes. - Jing Li 022; Penghao Jiang; Tianci Zhang; Yingchen Liu; Zhong Zhang 002; Qihui Zhang; Ning Ning 002; Qi Yu 002 (ASICON, 2023)

A 59.99dB SNDR 1.13mW Ping-pong NS SAR ADC for 3-D Transesophageal Echocardiography. - Jing Li 022; Tianci Zhang; Yingchen Liu; Penghao Jiang; Zhong Zhang 002; Qihui Zhang; Ning Ning 002; Qi Yu 002 (ASICON, 2023)

High-efficiency Device-Cloud Collaborative Transformer Model. - Penghao Jiang; Ke Xin; Chunxi Li; Yinsi Zhou (CVPR Workshops, 2023)

Invariant Meta Learning for Out-of-Distribution Generalization. - Penghao Jiang; Ke Xin; Zifeng Wang 009; Chunxi Li (CoRR, 2023)

Robust Meta Learning for Image based tasks. - Penghao Jiang; Ke Xin; Zifeng Wang 009; Chunxi Li (CoRR, 2023)

Device Tuning for Multi-Task Large Model. - Penghao Jiang; Xuanchen Hou; Yinsi Zhou (CoRR, 2023)

Jaeger: A Concatenation-Based Multi-Transformer VQA Model. - Jieting Long; Zewei Shi; Penghao Jiang; Yidong Gan (CoRR, 2023)

Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features. - Haixu Liu; Penghao Jiang; Zerui Tao; Muyan Wan; Qiuzhuang Sun (CLEF (Working Notes), 2024)

Unveiling and Controlling Anomalous Attention Distribution in Transformers. - Ruiqing Yan; Xingbo Du; Haoyu Deng; Linghan Zheng; Qiuzhuang Sun; Jifang Hu; Yuhang Shao; Penghao Jiang; Jinrong Jiang; Lian Zhao (CoRR, 2024)

Multi-Modal Video Feature Extraction for Popularity Prediction. - Haixu Liu; Wenning Wang; Haoxiang Zheng; Penghao Jiang; Qirui Wang; Ruiqing Yan; Qiuzhuang Sun (CoRR, 2025)

Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model. - Haixu Liu; Penghao Jiang; Zerui Tao (CoRR, 2025)

Insulator defect detection algorithm based on adaptive feature fusion and lightweight YOLOv5s. - Zhendong He; Yiming Wang; Anping Zheng; Jie Liu; Taishan Lou; Jie Zhang; Penghao Jiang; Jiong Xu (J. Real Time Image Process., 2025)

"Pull or Not to Pull?": Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas. - Junchen Ding; Penghao Jiang; Zihao Xu; Ziqi Ding; Yichen Zhu; Jiaojiao Jiang; Yuekang Li (CoRR, 2025)