A knowledge-based systems engineering approach for confirming emergent strategy-making quality. - Ren-Wen Ben; Dah-Chuan Gong; Kevin Meng (ICMLC, 2010)

Vehicle Action Prediction Using Artificial Intelligence. - Kevin Meng; Cheng Shi; Yu Meng (ICMLA, 2018)

Through-Wall Pose Imaging in Real-Time with a Many-to-Many Encoder/Decoder Paradigm. - Kevin Meng; Yu Meng (ICMLA, 2019)

The Sixth Sense with Artificial Intelligence: An Innovative Solution for Real-Time Retrieval of the Human Figure Behind Visual Obstruction. - Kevin Meng; Yu Meng (CoRR, 2019)

Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. - Kevin Meng; Damian Jimenez; Fatma Arslan; Jacob Daniel Devasier; Daniel Obembe; Chengkai Li 001 (CoRR, 2020)

Identification of discriminative features for decoding overt and imagined speech using stereotactic electroencephalography. - Kevin Meng; David B. Grayden; Mark J. Cook; Simon J. Vogrin; Farhad Goodarzy (BCI, 2021)

A Dashboard for Mitigating the COVID-19 Misinfodemic. - Zhengyuan Zhu; Kevin Meng; Josue Caraballo; Israa Jaradat; Xiao Shi; Zeyu Zhang; Farahnaz Akrami; Haojin Liao; Fatma Arslan; Damian Jimenez; Mohammed Samiul Saeef; Paras Pathak; et al. (EACL (System Demonstrations), 2021)

Implementation of a closed-loop BCI system for real-time speech synthesis under clinical constraints. - Kevin Meng; Euiyoung Kim; Simon J. Vogrin; Mark J. Cook; Farhad Goodarzy; David B. Grayden; Chun Kee Chung (BCI, 2022)

Evidence of Onset and Sustained Neural Responses to Isolated Phonemes from Intracranial Recordings in a Voice-based Cursor Control Task. - Kevin Meng; Seo-Hyun Lee; Farhad Goodarzy; Simon J. Vogrin; Mark J. Cook; Seong-Whan Lee; David B. Grayden (INTERSPEECH, 2022)

Locating and Editing Factual Associations in GPT. - Kevin Meng; David Bau; Alex Andonian; Yonatan Belinkov (NeurIPS, 2022)

Locating and Editing Factual Knowledge in GPT. - Kevin Meng; David Bau; Alex Andonian; Yonatan Belinkov (CoRR, 2022)

Exploiting and Defending Against the Approximate Linearity of Apple's NeuralHash. - Jagdeep Singh Bhatia; Kevin Meng (CoRR, 2022)

Mass-Editing Memory in a Transformer. - Kevin Meng; Arnab Sen Sharma; Alex J. Andonian; Yonatan Belinkov; David Bau (ICLR, 2023)

Linearity of Relation Decoding in Transformer Language Models. - Evan Hernandez; Arnab Sen Sharma; Tal Haklay; Kevin Meng; Martin Wattenberg; Jacob Andreas; Yonatan Belinkov; David Bau (ICLR, 2024)

Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. - Kevin Meng; Damian Jimenez; Jacob Daniel Devasier; Sai Sandeep Naraparaju; Fatma Arslan; Daniel Obembe; Chengkai Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)