| 2026 | COLT | Random Reshuffling Dominates Stochastic Gradient Descent. | Zijian Liu |
| 2025 | AAAI | Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition. | Xingmei Wang, Jinghan Liu, Jiaxiang Meng, Boquan Li, Zijian Liu |
| 2025 | ICLR | Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping. | Zijian Liu, Zhengyuan Zhou |
| 2025 | ICML | Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization. | Zijian Liu, Zhengyuan Zhou |
| 2024 | ICASSP | Edge Attention Learning for Efficient Camouflaged Object Detection. | Zijian Liu, Ping Jiang, Lixin Lin, Xiaoheng Deng |
| 2024 | ICLR | Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods. | Zijian Liu, Zhengyuan Zhou |
| 2024 | ICML | On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity. | Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou |
| 2024 | ICML | On the Last-Iterate Convergence of Shuffling Gradient Methods. | Zijian Liu, Zhengyuan Zhou |
| 2024 | ISPEC | From the Perspective of Prototypes: A Privacy-Preserving Personalized Federated Learning Framework. | Liwei Liu, Zijian Liu, Na Ruan |
| 2023 | COLT | Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise. | Zijian Liu, Jiawei Zhang, Zhengyuan Zhou |
| 2023 | HAI | Telepresence Chameleon: Improve User Experience of Telepresence Robot With Chameleon Effect. | Zijian Liu, Michita Imai |
| 2023 | ICLR | On the Convergence of AdaGrad(Norm) on ℝ | Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen |
| 2023 | ICML | High Probability Convergence of Stochastic Gradient Methods. | Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen |
| 2023 | ICPADS | STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction. | Maoxiang Sun, Weilong Ding, Tianpu Zhang, Zijian Liu, Mengda Xing, Jihai Huang |
| 2022 | CIS | Vision localization method for intelligent vehicles in low-texture environments. | Zijian Liu, Bingfeng Zhang, Cheng Xu, Yuansheng Liu, Jun Zhang |
| 2022 | ICML | Distributionally Robust Q-Learning. | Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou |
| 2022 | ICML | Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction. | Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen |
| 2021 | WCNC | Energy-Efficient Resource Allocation with Imperfect CSI in NOMA-based D2D Networks with SWIPT. | Yongjun Xu, Zijian Liu, Zhaohui Yang, Chongwen Huang |
| 2017 | ICNC | Global analysis of a dengue fever model with quarantine. | Jianhua Pang, Yuqian Zhao, Fengchao Lu, Zijian Liu, Ping Bi |
| 2016 | SMC | A client-side directory prefetching mechanism for GlusterFS. | Zijian Liu, Fang Dong, Junxue Zhang, Pengcheng Zhou, Zhuqing Xu, Junzhou Luo |
| 2008 | ICNC | Image Restoration Based on Robust Error Function and Particle Swarm Optimization-BP Neural Network. | Yinxue Zhang, Zhenhong Jia, Haijun Jiang, Zijian Liu |