Prediction of Chaotic Time Series of RBF Neural Network Based on Particle Swarm Optimization. - Baoxiang Du; Wei Xu; Bingbing Song; Qun Ding; Shu-Chuan Chu (ECC (2), 2014)

Comparisons of Typical Discrete Logistic Map and Henon Map. - Bingbing Song; Qun Ding (ECC (1), 2014)

The Complexity Analysis of Chaotic Systems. - Wei Xu; Bingbing Song; Chunlei Fan; Qun Ding; Shu-Chuan Chu (ECC (2), 2014)

Design of Data Encryption Transmission System Based on FPGA. - Yan Yu; Bingbing Song; Xiaozhen Liu; Qun Ding; Ziheng Yang (ECC (2), 2014)

FPGA Design and Applicable Analysis of Discrete Chaotic Maps. - Hongjun Wang; Bingbing Song; Qiang Liu; Jing Pan; Qun Ding (Int. J. Bifurc. Chaos, 2014)

Discrete Chaotic Circuit Design and Performance Analysis. - Wangshu Li; Bingbing Song; Qun Ding (RVSP, 2015)

Discrete Chaos Circuit Random Characteristic Analysis. - Wangshu Li; Bingbing Song; Qun Ding (RVSP, 2015)

A Multidimensional Workload Assessment Method for Power Grid Dispatcher. - Bingbing Song; Zhen Wang 031; Yanyu Lu; Xiaobi Teng; Xinyi Chen; Yi Zhou; Hai Ye; Shan Fu (HCI (6), 2018)

The Identification of Human Errors in the Power Dispatching Based on the TRACEr Method. - Xiaobi Teng; Yanyu Lu; Zhen Wang 031; Bingbing Song; Hai Ye; Yi Zhou; Shan Fu (HCI (6), 2018)

Low-power Robustness Learning Framework for Adversarial Attack on Edges. - Bingbing Song; Haiyang Chen 003; Jiashun Suo; Wei Zhou 011 (MSN, 2022)

Rewriting-Stego: Generating Natural and Controllable Steganographic Text with Pre-trained Language Model. - Fanxiao Li; Sixing Wu; Jiong Yu; Shuoxin Wang; Bingbing Song; Renyang Liu 001; Haoseng Lai; Wei Zhou 011 (DASFAA (1), 2023)

Double-Flow-based Steganography without Embedding for Image-to-Image Hiding. - Bingbing Song; Derui Wang; Tianwei Zhang 004; Renyang Liu 001; Yu Lin; Wei Zhou 011 (CoRR, 2023)

Securing Deep Learning as a Service Against Adaptive High Frequency Attacks With MMCAT. - Bingbing Song; Ruxin Wang 002; Song Gao; Yunyun Dong; Ling Liu 001; Wei Zhou 011 (IEEE Trans. Serv. Comput., 2023)

Multi-source Transfer Learning Based on the Power Set Framework. - Bingbing Song; Jianhan Pan; Qiaoli Qu; Zexin Li (Int. J. Comput. Intell. Syst., 2023)

Generative Steganography Based on Dual-Branch Flow. - Ke Cheng; Bingbing Song; Ping Wei; Wei Zhou 011; Chao Yi; Yunyun Dong (PRCV (2), 2024)

A survey on Deep-Learning-based image steganography. - Bingbing Song; Ping Wei; Sixing Wu; Yu Lin; Wei Zhou 011 (Expert Syst. Appl., 2024)

Hiding image with inception transformer. - Yunyun Dong; Ping Wei; Ruxin Wang 002; Bingbing Song; Tingchu Wei; Wei Zhou 011 (IET Image Process., 2024)

Expectation Modulates Repetition Suppression at Late But Not Early Stages during Visual Word Recognition: Evidence from Event-related Potentials. - Bingbing Song; Werner Sommer; Urs Maurer (J. Cogn. Neurosci., 2024)

Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach. - Song Gao; Xiaoxuan Wang; Bingbing Song; Renyang Liu 001; Shaowen Yao 001; Wei Zhou 011; Shui Yu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Hiding image into image with hybrid attention mechanism based on GANs. - Yuling Zhu; Yunyun Dong; Bingbing Song; Shaowen Yao 001 (IET Image Process., 2024)

IMRRF: Integrating Multi-Source Retrieval and Redundancy Filtering for LLM-based Fake News Detection. - Dayang Li; Fanxiao Li; Bingbing Song; Li Tang; Wei Zhou 011 (NAACL (Long Papers), 2025)

Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection. - Fanxiao Li; Jiaying Wu; Tingchao Fu; Yunyun Dong; Bingbing Song; Wei Zhou 011 (CoRR, 2025)