| 2025 | AAAI | Progressive Distribution Matching for Federated Semi-Supervised Learning. | Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu |
| 2025 | ACL | Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models. | Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi Cheng, Yiren Zhao, Xitong Gao |
| 2025 | CVPR | A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment. | Xuan Wang, Xitong Gao, Dongping Liao, Tianrui Qin, Yu-liang Lu, Cheng-Zhong Xu |
| 2025 | EMNLP | Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. | Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao |
| 2025 | EMNLP | OAgents: An Empirical Study of Building Effective Agents. | He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Hanhao Li, Yi Yao, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Xiangru Tang, Jian Yang, Ge Zhang, Xitong Gao, Yuchen Eleanor Jiang, Changwang Zhang, Jun Wang, Jiaheng Liu, Wangchunshu Zhou |
| 2025 | IJCNN | Incremental Tucker Decomposition for Scalable and Efficient Multilingual Speech Recognition. | Guanghui Song, Ye Hong, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2025 | PAKDD | SDF-Guided Multi-modal Big Data Road Extraction. | Kun Feng, Juanjuan Zhao, Kejiang Ye, Xitong Gao |
| 2025 | PAKDD | Offline Map Matching Based on Localization Error Distribution Modeling. | Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao |
| 2024 | AAAI | Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. | Dongping Liao, Xitong Gao, Chengzhong Xu |
| 2024 | ICONIP | Improving Multilingual Speech Recognition with Tucker-Compressed Mixture of LoRAs. | Ye Hong, Guanghui Song, Xitong Gao, Tianhui Meng, Juanjuan Zhao, Kejiang Ye |
| 2024 | ICONIP | Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. | Xiangyu Pang, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2024 | ICPR | GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks. | Kaijie Li, Juanjuan Zhao, Li Yan, Xitong Gao, Ye Li, Kejiang Ye |
| 2024 | PAKDD | MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. | Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang |
| 2024 | PAKDD | Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. | Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye |
| 2023 | ACML | Revisiting Structured Dropout. | Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao |
| 2023 | CVPR | Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. | Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu |
| 2023 | ICANN | FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. | Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2023 | ICCV | AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. | Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu |
| 2023 | ICTAI | Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. | Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2021 | CVPR | LAFEAT: Piercing Through Adversarial Defenses With Latent Features. | Yunrui Yu, Xitong Gao, Cheng-Zhong Xu |
| 2020 | DSN | Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. | Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross J. Anderson |
| 2020 | ICLR | Pay Attention to Features, Transfer Learn Faster CNNs. | Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu |
| 2020 | ICPR | AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. | Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu |
| 2019 | ICLR | Dynamic Channel Pruning: Feature Boosting and Suppression. | Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert Mullins, Cheng-Zhong Xu |
| 2018 | Mobisys | Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. | Yiren Zhao, Xitong Gao, Robert Mullins, Chengzhong Xu |
| 2016 | FPGA | Automatically Optimizing the Latency, Area, and Accuracy of C Programs for High-Level Synthesis. | Xitong Gao, John Wickerson, George A. Constantinides |
| 2015 | FPGA | Numerical Program Optimization for High-Level Synthesis. | Xitong Gao, George A. Constantinides |