| 2026 | ACL | APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention. | Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Ao Sun, Ziqi Yuan, Hao Zhou, Fandong Meng, Zhiyuan Liu |
| 2024 | ACL | OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios. | Ziqi Yuan, Baozheng Zhang, Hua Xu, Zhiyun Liang, Kai Gao |
| 2024 | APWEB | ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. | Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li |
| 2024 | Middleware | LightZone: Lightweight Hardware-Assisted In-Process Isolation for ARM64. | Ziqi Yuan, Siyu Hong, Ruorong Guo, Rui Chang, Mingyu Gao, Wenbo Shen, Yajin Zhou |
| 2024 | WSDM | PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. | Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li |
| 2024 | SDM | MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. | Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li |
| 2023 | AAAI | Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis. | Huisheng Mao, Baozheng Zhang, Hua Xu, Ziqi Yuan, Yihe Liu |
| 2023 | ASPLOS | VDom: Fast and Unlimited Virtual Domains on Multiple Architectures. | Ziqi Yuan, Siyu Hong, Rui Chang, Yajin Zhou, Wenbo Shen, Kui Ren |
| 2022 | ACL | M-SENA: An Integrated Platform for Multimodal Sentiment Analysis. | Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao |
| 2022 | DAC | RegVault: hardware assisted selective data randomization for operating system kernels. | Jinyan Xu, Haoran Lin, Ziqi Yuan, Wenbo Shen, Yajin Zhou, Rui Chang, Lei Wu, Kui Ren |
| 2022 | ICMI | Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module. | Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao |
| 2021 | AAAI | Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis. | Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu |