| 2026 | HCI | Reconstructing the Sacred Space: Digital Exhibition Design for Chinese Religious Architectural Heritage - Case Studies of Yongle Palace and Kaihua Temple. | Kang Huang, Luke Li, Shiyu Wei, Qing Sheng, Yiwen Guo, You Lyu |
| 2025 | ICASSP | Enabling Beam Search for Language Model-Based Text-to-Speech Synthesis. | Zehai Tu, Guangyan Zhang, Yiting Lu, Adaeze Adigwe, Simon King, Yiwen Guo |
| 2025 | ICASSP | Enhancing Expressive Voice Conversion with Discrete Pitch-Conditioned Flow Matching Model. | Jialong Zuo, Shengpeng Ji, Minghui Fang, Ziyue Jiang, Xize Cheng, Qian Yang, Wenrui Liu, Guangyan Zhang, Zehai Tu, Yiwen Guo, Zhou Zhao |
| 2025 | SIGGRAPH | CueTip: An Interactive and Explainable Physics-aware Pool Assistant. | Sean Memery, Kevin Denamgana, Jiaxin Zhang, Zehai Tu, Yiwen Guo, Kartic Subr |
| 2024 | DSN | Intrusion Detection at Scale with the Assistance of a Command-line Language Model. | Jiongliang Lin, Yiwen Guo, Hao Chen |
| 2024 | EMNLP | Code Representation Pre-training with Complements from Program Executions. | Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen |
| 2024 | EMNLP | The Program Testing Ability of Large Language Models for Code. | Weimin Xiong, Yiwen Guo, Hao Chen |
| 2024 | EMNLP | Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. | Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICASSP | Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. | Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang |
| 2024 | ISSTA | UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing. | Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen |
| 2023 | ACL | Understanding Programs by Exploiting (Fuzzing) Test Cases. | Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen |
| 2023 | CVPR | Texts as Images in Prompt Tuning for Multi-Label Image Recognition. | Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo |
| 2023 | CVPR | CFA: Class-Wise Calibrated Fair Adversarial Training. | Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang |
| 2023 | EMNLP | Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. | Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo |
| 2023 | ICCV | MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. | Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu |
| 2023 | ICLR | Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. | Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen |
| 2023 | ICLR | Squeeze Training for Adversarial Robustness. | Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen |
| 2022 | KDD | Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations. | Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen |
| 2021 | ICLR | Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. | Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang |
| 2020 | ECCV | Yet Another Intermediate-Level Attack. | Qizhang Li, Yiwen Guo, Hao Chen |
| 2020 | ICLR | Sparse Coding with Gated Learned ISTA. | Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang |
| 2017 | CVPR | Network Sketching: Exploiting Binary Structure in Deep CNNs. | Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen |
| 2017 | CVPR | Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. | Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang |
| 2017 | ICLR | Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. | Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen |