Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine. - Ping Zhong 003; Mengdi Li 006; Kai Mu; Juan Wen; Yiming Xue (Int. J. Digit. Crime Forensics, 2019)

A novel natural language steganographic framework based on image description neural network. - Juan Wen; Xuejing Zhou; Mengdi Li 006; Ping Zhong 003; Yiming Xue (J. Vis. Commun. Image Represent., 2019)

Generating steganographic image description by dynamic synonym substitution. - Mengdi Li 006; Kai Mu; Ping Zhong 003; Juan Wen; Yiming Xue (Signal Process., 2019)

Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. - Mengdi Li 006; Cornelius Weber; Stefan Wermter (ICANN (2), 2020)

Modern imaging techniques in plant nutrition analysis: A review. - Daoliang Li; Cheng Li; Yuan Yao; Mengdi Li 006; Licheng Liu (Comput. Electron. Agric., 2020)

Visual Distant Supervision for Scene Graph Generation. - Yuan Yao 011; Ao Zhang; Xu Han 007; Mengdi Li 006; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter; Maosong Sun 001 (ICCV, 2021)

Robotic Occlusion Reasoning for Efficient Object Existence Prediction. - Mengdi Li 006; Cornelius Weber; Matthias Kerzel; Jae Hee Lee 001; Zheni Zeng; Zhiyuan Liu 001; Stefan Wermter (IROS, 2021)

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. - Xiaowen Sun; Cornelius Weber; Matthias Kerzel; Tom Weber; Mengdi Li 006; Stefan Wermter (ICANN (2), 2022)

Spatial relation learning in complementary scenarios with deep neural networks. - Jae Hee Lee 001; Yuan Yao 011; Ozan Özdemir; Mengdi Li 006; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter (Frontiers Neurorobotics, 2022)

Visually Grounded Commonsense Knowledge Acquisition. - Yuan Yao 013; Tianyu Yu 002; Ao Zhang; Mengdi Li 006; Ruobing Xie; Cornelius Weber; Zhiyuan Liu 001; Hai-Tao Zheng 002; Stefan Wermter; Tat-Seng Chua; Maosong Sun 001 (AAAI, 2023)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Xufeng Zhao 002; Sven Magg; Martin Gromniak; Mengdi Li 006; Stefan Wermter (ICDL, 2023)

Internally Rewarded Reinforcement Learning. - Mengdi Li 006; Xufeng Zhao 002; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (ICML, 2023)

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models. - Xufeng Zhao 002; Mengdi Li 006; Cornelius Weber; Muhammad Burhan Hafez; Stefan Wermter (IROS, 2023)

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models. - Kun Chu; Xufeng Zhao 002; Cornelius Weber; Mengdi Li 006; Stefan Wermter (CoRR, 2023)

Causal State Distillation for Explainable Reinforcement Learning. - Wenhao Lu; Xufeng Zhao 002; Thilo Fryen; Jae Hee Lee 001; Mengdi Li 006; Sven Magg; Stefan Wermter (CLeaR, 2024)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. - Xufeng Zhao 002; Mengdi Li 006; Wenhao Lu; Cornelius Weber; Jae Hee Lee 001; Kun Chu; Stefan Wermter (LREC/COLING, 2024)

Large Language Models for Orchestrating Bimanual Robots. - Kun Chu; Xufeng Zhao 002; Cornelius Weber; Mengdi Li 006; Wenhao Lu; Stefan Wermter (Humanoids, 2024)

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs. - Shu Yang 010; Jiayuan Su; Han Jiang; Mengdi Li 006; Keyuan Cheng; Muhammad Asif Ali; Lijie Hu; Di Wang 015 (CoRR, 2024)

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning. - Lijie Hu; Liang Liu; Shu Yang 010; Xin Chen; Hongru Xiao; Mengdi Li 006; Pan Zhou 001; Muhammad Asif Ali; Di Wang 015 (CoRR, 2024)

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View. - Lijie Hu; Liang Liu; Shu Yang 010; Xin Chen; Zhen Tan; Muhammad Asif Ali; Mengdi Li 006; Di Wang 015 (CoRR, 2024)

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs. - Shu Yang 010; Shenzhe Zhu; Ruoxuan Bao; Liang Liu; Yu Cheng; Lijie Hu; Mengdi Li 006; Di Wang 015 (CoRR, 2024)

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. - Shu Yang 010; Shenzhe Zhu; Zeyu Wu; Keyu Wang 001; Junchi Yao; Junchao Wu; Lijie Hu; Mengdi Li 006; Derek F. Wong; Di Wang 015 (ACL (Findings), 2025)

Understanding the Repeat Curse in Large Language Models from a Feature Perspective. - Junchi Yao; Shu Yang 010; Jianhua Xu; Lijie Hu; Mengdi Li 006; Di Wang 015 (ACL (Findings), 2025)

Towards User-level Private Reinforcement Learning with Human Feedback. - Jiaming Zhang; Mingxi Lei; Meng Ding; Mengdi Li 006; Zihang Xiang; Difei Xu; Jinhui Xu 001; Di Wang 015 (CoRR, 2025)

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation. - Tong Li; Shu Yang 010; Junchao Wu; Jiyao Wei; Lijie Hu; Mengdi Li 006; Derek F. Wong; Joshua R. Oltmanns; Di Wang 015 (CoRR, 2025)

Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. - Mengdi Li 006; Jiaye Lin; Xufeng Zhao 002; Wenhao Lu; Peilin Zhao; Stefan Wermter; Di Wang 015 (CoRR, 2025)

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models. - Liangyu Wang; Huanyi Xie; Xinhai Wang; Tianjin Huang; Mengdi Li 006; Di Wang 015 (CoRR, 2025)