| 2026 | AAAI | NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation. | Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang, Kaiquan Cai |
| 2026 | AAAI | State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis. | Xin Sun, Heng Zhou, Yuhao Wu, Chao Li |
| 2026 | AAAI | AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought. | Weihua Zheng, Xin Huang, Zhengyuan Liu, Tarun Kumar Vangani, Bowei Zou, Xiyan Tao, Yuhao Wu, AiTi Aw, Nancy F. Chen, Roy Ka-Wei Lee |
| 2026 | ACL | Lost in Stories: Consistency Bugs in Long Story Generation by LLMs. | Junjie Li, Xinrui Guo, Yuhao Wu, Roy Ka-Wei Lee, Hongzhi Li, Yutao Xie |
| 2026 | ACL | SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models. | Yuhao Wu, Yushi Bai, Zhiqiang Hu, Juanzi Li, Roy Ka-Wei Lee |
| 2026 | SP | Towards Automating Data Access Permissions in AI Agents. | Yuhao Wu, Ke Yang, Franziska Roesner, Tadayoshi Kohno, Ning Zhang, Umar Iqbal |
| 2025 | ICDE | AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. | Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICLR | LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. | Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee |
| 2025 | IJCAI | Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. | Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao |
| 2025 | IMC | An In-Depth Investigation of Data Collection in LLM App Ecosystems. | Yuhao Wu, Evin Jaff, Ke Yang, Ning Zhang, Umar Iqbal |
| 2025 | IECON | Equalization Optimization Strategy and Simulation Verification for Reconfigurable Battery Module. | Huiying Ling, Ruoyu Wang, Yuhao Wu, Shuhang Wang, Xuliang Zhang, Yang Zhou, Xiangrui Meng, Jinlei Sun |
| 2025 | NDSS | IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems. | Yuhao Wu, Franziska Roesner, Tadayoshi Kohno, Ning Zhang, Umar Iqbal |
| 2024 | CVPR | MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. | Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang |
| 2024 | ICML | Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. | Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu |
| 2024 | ICML | Mitigating Label Noise on Graphs via Topological Sample Selection. | Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu |
| 2024 | SIGIR | AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. | Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming |
| 2024 | SP | Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack. | Han Liu, Yuhao Wu, Zhiyuan Yu, Ning Zhang |
| 2023 | CVPR | SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples. | Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang |
| 2023 | CVPR | RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts. | Han Liu, Yuhao Wu, Shixuan Zhai, Bo Yuan, Ning Zhang |
| 2023 | DAC | IP Protection in TinyML. | Jinwen Wang, Yuhao Wu, Han Liu, Bo Yuan, Roger D. Chamberlain, Ning Zhang |
| 2023 | EMNLP | SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams. | Yuhao Wu, Karthick Sharma, Chun Seah, Shuhao Zhang |
| 2023 | ICML | CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. | Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao |
| 2023 | RecSys | Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. | Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming |
| 2022 | HPCC | Multivariate Time Series Imputation Based on Masked Autoencoding with Transformer. | Yongsheng Wang, Hao Xu, Zhiwei Xu, Jing Gao, Yuhao Wu, Zhe Zhang |
| 2022 | KSEM | A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking. | Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, Meikang Qiu |
| 2022 | RTSS | Work-in-Progress: Measuring Security Protection in Real-time Embedded Firmware. | Yuhao Wu, Yujie Wang, Shixuan Zhai, Zihan Li, Ao Li, Jinwen Wang, Ning Zhang |
| 2020 | ICA3PP | Research Progress of Zero-Shot Learning Beyond Computer Vision. | Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang |
| 2020 | LCN | ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy. | Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li |
| 2020 | WISE | Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine. | Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Lai Wei, Jing Jin, Haizhou Wang |
| 2015 | MSR | A Method to Detect License Inconsistencies in Large-Scale Open Source Projects. | Yuhao Wu, Yuki Manabe, Tetsuya Kanda, Daniel M. Germn, Katsuro Inoue |