AI Enabled IoRT Framework for Rodent Activity Monitoring in a False Ceiling Environment. - Balakrishnan Ramalingam; Thein Tun; Rajesh Elara Mohan; Braulio Félix Gómez; Ruoxi Cheng; Selvasundari Balakrishnan; Madan Mohan Rayaguru; Abdullah Aamir Hayat (Sensors, 2021)

Active and Reactive Power Coordinated Optimal Dispatch in Active Distribution Network Considering Demand Response and Distributed Energy Storage Cooperative Interaction. - Ruoxi Cheng; Chengfu Wang; Shuang Dong; Guoying Wang; Chunling Liu; Kang Wang; Xianwen Lu; Ya Su (IAS, 2024)

Optimal Scheduling of Integrated Electric-Gas-Heat Energy System Considering Carbon Emission and User Satisfaction of Heat Supply Network. - Xianwen Lu; Chengfu Wang; Chunling Liu; Chao Liu; Ya Su; Ruoxi Cheng; Jinyu Chen; Maoxin Chen (IAS, 2024)

Forecasting Government Bond Yields Based on Multi-Factor LSTM Model. - Guangwu Kuang; Yue Yu; Ruoxi Cheng (ICBAR, 2024)

RLRF: Reinforcement Learning from Reflection through Debates as Feedback for Bias Mitigation in LLMs. - Ruoxi Cheng; Haoxuan Ma; Shuirong Cao; Tianyu Shi (CoRR, 2024)

Identity Inference from CLIP Models using Only Textual Data. - Songze Li; Ruoxi Cheng; Xiaojun Jia (CoRR, 2024)

KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge Graphs. - Aihua Pei; Zehua Yang; Shunan Zhu; Ruoxi Cheng; Ju Jia; Lina Wang (CoRR, 2024)

A Unimodal Speaker-Level Membership Inference Detector for Contrastive Pretraining. - Ruoxi Cheng; Yizhong Ding; Shuirong Cao; Shitong Shao; Zhiqiang Wang (CoRR, 2024)

PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization. - Ruoxi Cheng; Yizhong Ding; Shuirong Cao; Ranjie Duan; Xiaoshuang Jia; Shaowei Yuan; Zhiqiang Wang; Xiaojun Jia (CoRR, 2024)

SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts. - Aihua Pei; Zehua Yang; Shunan Zhu; Ruoxi Cheng; Ju Jia (COLING, 2025)

AGR: Age Group fairness Reward for Bias Mitigation in LLMs. - Shuirong Cao; Ruoxi Cheng; Zhiqiang Wang (ICASSP, 2025)

USMID: A Unimodal Speaker-Level Membership Inference Detector for Contrastive Pretraining. - Ruoxi Cheng; Yizhong Ding; Shuirong Cao; Shitong Shao; Zhiqiang Wang (ICASSP Workshops, 2025)

Talk the Talk, Debate the Bias: LLM Alignment via Role-Play Rumble. - Ruoxi Cheng; Zhiqiang Wang; Shaowei Yuan; Yizhong Ding; Rui Zhang (ICIC (24), 2025)

Introspective Reward Modeling via Inverse Reinforcement Learning for LLM Alignment. - Zhiqiang Wang; Ruoxi Cheng; Shaowei Yuan; Yizhong Ding; Rui Zhang (ICIC (23), 2025)

Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining. - Ruoxi Cheng; Yizhong Ding; Shuirong Cao; Zhiqiang Wang 006 (ICMR, 2025)

SRMIR: Shadow Reward Models Based on Introspective Reasoning for LLM Alignment. - Ruoxi Cheng; Shuirong Cao (CoRR, 2025)

DMRL: Data- and Model-aware Reward Learning for Data Extraction. - Zhiqiang Wang; Ruoxi Cheng (CoRR, 2025)

L-CLIPScore: a Lightweight Embedding-based Captioning Metric for Evaluating and Training. - Li Li; Yingzhe Peng; Xu Yang 021; Ruoxi Cheng; Haiyang Xu 001; Ming Yan 008; Fei Huang 002 (CoRR, 2025)