| 2026 | AAAI | AlignCVC: Aligning Cross-View Consistency for Single-Image-to-3D Generation. | Xinyue Liang, Zhiyuan Ma, Lingchen Sun, Yanjun Guo, Lei Zhang |
| 2026 | ACL | EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios. | Bin Xu, Yu Bai, Huashan Sun, Yiguan Lin, Siming Liu, Xinyue Liang, Yaolin Li, Zhuangzhi Dong, Jingren Zhang, Yufan Deng, Xinyu Zou, Yang Gao, Heyan Huang |
| 2025 | CVPR | Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data. | Zhiyuan Ma, Xinyue Liang, Rongyuan Wu, Xiangyu Zhu, Zhen Lei, Lei Zhang |
| 2025 | ICASSP | A Dual-Stream Network with Non-Stationary Characteristics-Enhanced for SST Image Prediction. | Min Ye, Jiahao Du, Ning Song, Xinyue Liang, Bohan Li, Jie Nie |
| 2025 | MICCAI | Contour Makes it Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors. | Xinyue Liang, Runnan Chen, Guangshun Wei, Shaojie Zhuang, Yuanfeng Zhou |
| 2024 | CVPR | EfficientDreamer: High-Fidelity and Stable 3D Creation via Orthogonal-view Diffusion Priors. | Zhipeng Hu, Minda Zhao, Chaoyi Zhao, Xinyue Liang, Lincheng Li, Zeng Zhao, Changjie Fan, Xiaowei Zhou, Xin Yu |
| 2024 | IGARSS | Deep Neural Network-Based Earth System Forecasting Model Employing Non-Independent and Non-Identically Distributed Samples. | Jie Nie, Zijie Zuo, Xinyue Liang, Ning Song, Min Ye, Qi Wen |
| 2024 | IGARSS | Context Constraints-Guided Reconstruction Robust Network for Cloud-Induced Extensive Missing Area in Sea Surface Temperature. | Zijie Zuo, Jie Nie, Xin Wang, Xinyue Liang, Bo Yin |
| 2024 | IGARSS | A k-shot Sampling Based Decentralized Learning Framework for Spatiotemporal Correlated Ocean Data with Asynchronous Communication. | Xinyue Liang, Nuoqing Zhang, Zijie Zuo, Jie Nie |
| 2022 | ICASSP | Deterministic Transform Based Weight Matrices for Neural Networks. | Pol Grau Jurado, Xinyue Liang, Saikat Chatterjee |
| 2021 | ICASSP | Feature Reuse for a Randomization Based Neural Network. | Xinyue Liang, Mikael Skoglund, Saikat Chatterjee |
| 2021 | IJCNN | Asynchronous Decentralized Learning of Randomization-Based Neural Networks. | Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee |
| 2020 | ICASSP | Asynchrounous Decentralized Learning of a Neural Network. | Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee |
| 2020 | IJCNN | A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. | Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee |
| 2018 | ICASSP | Distributed Large Neural Network with Centralized Equivalence. | Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee |