| 2026 | AAAI | GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration. | Kaiyi Huang, Yukun Huang, Xuefei Ning, Zinan Lin, Yu Wang, Xihui Liu |
| 2025 | CCS | DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis. | Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang |
| 2025 | ICLR | Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. | Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang |
| 2025 | ICLR | Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. | Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin |
| 2025 | ICLR | ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. | Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang |
| 2025 | WWW | Inferentially-Private Private Information. | Shuaiqi Wang, Shuran Zheng, Zinan Lin, Giulia Fanti, Zhiwei Steven Wu |
| 2024 | AISTATS | Mixture-of-Linear-Experts for Long-term Time Series Forecasting. | Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti |
| 2024 | CVPR | FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. | Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang |
| 2024 | ECCV | MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. | Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang |
| 2024 | ICLR | Differentially Private Synthetic Data via Foundation Model APIs 1: Images. | Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin |
| 2024 | ICLR | Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. | Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko |
| 2024 | ICLR | Efficiently Computing Similarities to Private Datasets. | Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski |
| 2024 | ICLR | Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation. | Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang |
| 2024 | ICLR | Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. | Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim |
| 2024 | ICML | Differentially Private Synthetic Data via Foundation Model APIs 2: Text. | Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin |
| 2024 | ISIT | Statistic Maximal Leakage. | Shuaiqi Wang, Zinan Lin, Giulia Fanti |
| 2023 | ICML | OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. | Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang |
| 2022 | AAAI | RareGAN: Generating Samples for Rare Classes. | Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar |
| 2022 | VTC | Intelligent Feedback Overhead Reduction (iFOR) in Wi-Fi 7 and Beyond. | Mrugen Deshmukh, Mahmoud Kamel, Zinan Lin, Rui Yang, Hanqing Lou, Ismail Gven |
| 2022 | SIGCOMM | Practical GAN-based synthetic IP header trace generation using NetShare. | Yucheng Yin, Zinan Lin, Minhao Jin, Giulia Fanti, Vyas Sekar |
| 2021 | AISTATS | On the Privacy Properties of GAN-generated Samples. | Zinan Lin, Vyas Sekar, Giulia Fanti |
| 2021 | ICML | Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. | Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi O. Leslie, Cho-Yu Jason Chiang, Vyas Sekar |
| 2021 | RecSys | Transfer Learning in Collaborative Recommendation for Bias Reduction. | Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming |
| 2020 | ICML | InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs. | Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh |
| 2020 | IMC | Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions. | Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar |
| 2019 | HOTNETS | Towards Oblivious Network Analysis using Generative Adversarial Networks. | Zinan Lin, Soo-Jin Moon, Carolina M. Zarate, Ritika Mulagalapalli, Sekar Kulandaivel, Giulia Fanti, Vyas Sekar |
| 2013 | PIMRC | A comparison of MAC aggregation Vs. PHY bonding for WLANs in TV White Spaces. | Zinan Lin, Monisha Ghosh, Alpaslan Demir |
| 2013 | WCNC | Link adaptation on aggregated TVWS channels. | Zinan Lin, Alpaslan Demir |
| 2009 | VTC | Full-Band CQI Feedback by Haar Compression in OFDMA Systems. | Afshin Haghighat, Guodong Zhang, Zinan Lin |
| 2009 | VTC | Relay Assisted Cooperative OSTBC Communication with SNR Imbalance and Channel Estimation Errors. | Bo Niu, Mihaela C. Beluri, Zinan Lin, Prabhakar Chitrapu |
| 2009 | WCNC | MAC v. PHY: how to relay in cellular networks. | Zinan Lin, Mohammed Sammour, Sana Sfar, Gregg Charlton, Prabhakar Chitrapu, Alex Reznik |
| 2008 | WCNC | Haar Compression for Efficient CQI Feedback Signaling in 3GPP LTE Systems. | Afshin Haghighat, Zinan Lin, Guodong Zhang |
| 2006 | GLOBECOM | Rate Adaptation for Cooperative Systems. | Zinan Lin, Elza Erkip, Monisha Ghosh |
| 2005 | GLOBECOM | Relay search algorithms for coded cooperative systems. | Zinan Lin, Elza Erkip |
| 2004 | GLOBECOM | Cooperative regions for coded cooperative systems [mobile radio systems]. | Zinan Lin, Elza Erkip, Andrej Stefanov |
| 2004 | VTC | An asymptotic analysis on the performance of coded cooperation systems. | Zinan Lin, Elza Erkip, Andrej Stefanov |