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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j9]Xitong Gao
, Luwen Yang, Zhijun Zhang:
Jumping outside the comfort zone of single-ended communication: A dual-leader composite motion scheme based on time-varying recurrent neural network for heterogeneous multi-robot system. Adv. Eng. Informatics 70: 104237 (2026)- 2025
- [j8]Kaijie Li, Juanjuan Zhao, Yuchen Song, Xiaoying Liu, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu:
An Online Map Matching Algorithm for Path-Free Trajectories by Integrating Path-Constrained Trajectories. IEEE Trans. Intell. Transp. Syst. 26(8): 12661-12675 (2025) - [j7]Juanjuan Zhao, Hao Yan, Li Sun, Furong Zheng, Xitong Gao, Fan Zhang, Kejiang Ye, Cheng-Zhong Xu:
Urban Transport Mode Split Prediction: A Hybrid Deep Learning Framework Considering Spatiotemporal Dependency. IEEE Trans. Intell. Transp. Syst. 26(11): 19626-19644 (2025) - [j6]Xinliang Wei, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu, Yu Wang:
A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing. IEEE Trans. Mob. Comput. 24(4): 2580-2593 (2025) - [c36]Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu:
Progressive Distribution Matching for Federated Semi-Supervised Learning. AAAI 2025: 5191-5199 - [c35]Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi Cheng, Yiren Zhao, Xitong Gao:
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models. ACL (1) 2025: 31932-31945 - [c34]Xuan Wang, Xitong Gao, Dongping Liao, Tianrui Qin, Yu-liang Lu, Cheng-Zhong Xu:
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment. CVPR 2025: 9507-9516 - [c33]Guanghui Song, Ye Hong, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Incremental Tucker Decomposition for Scalable and Efficient Multilingual Speech Recognition. IJCNN 2025: 1-8 - [c32]Tianrui Qin, Xuan Wang, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu, Xitong Gao:
On the Adversarial Robustness of Visual-Language Chat Models. ICMR 2025: 1118-1127 - [c31]Kun Feng, Juanjuan Zhao, Kejiang Ye, Xitong Gao:
SDF-Guided Multi-modal Big Data Road Extraction. PAKDD (7) 2025: 119-131 - [c30]Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao:
Offline Map Matching Based on Localization Error Distribution Modeling. PAKDD (6) 2025: 457-470 - [i27]Xuan Wang, Siyuan Liang, Dongping Liao, Han Fang, Aishan Liu, Xiaochun Cao, Yu-liang Lu, Ee-Chien Chang, Xitong Gao:
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework. CoRR abs/2503.16872 (2025) - [i26]Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu:
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning. CoRR abs/2503.22263 (2025) - [i25]Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao:
Offline Map Matching Based on Localization Error Distribution Modeling. CoRR abs/2505.23123 (2025) - [i24]Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Yuliang Lu, Xiaochun Cao, Ee-Chien Chang, Xitong Gao:
Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments. CoRR abs/2506.13205 (2025) - [i23]Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, ChengZhong Xu, Xitong Gao:
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. CoRR abs/2506.13541 (2025) - [i22]He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Yi Yao, Hanhao Li, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Yuchen Eleanor Jiang, Jun Wang, Changwang Zhang, Xiangru Tang, Ge Zhang, Jian Yang, Minghao Liu, Xitong Gao, Jiaheng Liu, Wangchunshu Zhou:
OAgents: An Empirical Study of Building Effective Agents. CoRR abs/2506.15741 (2025) - [i21]Jingfeng Wu, Yiyuan He, Minxian Xu, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu:
Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling. CoRR abs/2507.18006 (2025) - [i20]An Xiang, Zixuan Huang, Xitong Gao, Kejiang Ye, Cheng-zhong Xu:
BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection. CoRR abs/2507.19253 (2025) - [i19]Tianrui Qin, Qianben Chen, Sinuo Wang, He Xing, King Zhu, He Zhu, Dingfeng Shi, Xinxin Liu, Ge Zhang, Jiaheng Liu, Yuchen Eleanor Jiang, Xitong Gao, Wangchunshu Zhou:
Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution. CoRR abs/2509.25301 (2025) - 2024
- [j5]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 354-369 (2024) - [j4]Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
APBench: A Unified Availability Poisoning Attack and Defenses Benchmark. Trans. Mach. Learn. Res. 2024 (2024) - [c29]Dongping Liao, Xitong Gao, Chengzhong Xu:
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. AAAI 2024: 3342-3350 - [c28]Xiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye:
RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data. IEEE Big Data 2024: 1536-1545 - [c27]Ye Hong, Guanghui Song, Xitong Gao, Tianhui Meng, Juanjuan Zhao, Kejiang Ye:
Improving Multilingual Speech Recognition with Tucker-Compressed Mixture of LoRAs. ICONIP (3) 2024: 36-50 - [c26]Xiangyu Pang, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. ICONIP (2) 2024: 306-321 - [c25]Kaijie Li, Juanjuan Zhao, Li Yan, Xitong Gao, Ye Li, Kejiang Ye:
GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks. ICPR (6) 2024: 461-477 - [c24]Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang:
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. PAKDD (5) 2024: 309-321 - [c23]Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye:
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. PAKDD (5) 2024: 350-362 - [i18]Jiayan Chen, Zhirong Qian, Tianhui Meng, Xitong Gao, Tian Wang, Weijia Jia:
Fed-Credit: Robust Federated Learning with Credibility Management. CoRR abs/2405.11758 (2024) - [i17]Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao:
Unlocking the Global Synergies in Low-Rank Adapters. CoRR abs/2406.14956 (2024) - [i16]Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao:
Optimised Grouped-Query Attention Mechanism for Transformers. CoRR abs/2406.14963 (2024) - [i15]Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi Cheng, Yiren Zhao, Xitong Gao:
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models. CoRR abs/2412.13488 (2024) - 2023
- [j3]Yiping Luo, Xitong Gao, Anping Li, Ardak Kashkynbayev:
Event-triggered finite-time formation control for second-order leader-following multi-agent systems with nonlinear term time delay. Int. J. Control 96(10): 2636-2650 (2023) - [j2]Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu:
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data 9(3): 991-1003 (2023) - [c22]Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao:
Revisiting Structured Dropout. ACML 2023: 1699-1714 - [c21]Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
A Survey on Cross-Domain Few-Shot Image Classification. BigData 2023: 3-17 - [c20]Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu:
Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. CVPR 2023: 20432-20441 - [c19]Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. ICANN (1) 2023: 183-194 - [c18]Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. ICCV 2023: 4539-4549 - [c17]Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. ICTAI 2023: 586-594 - [i14]Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks. CoRR abs/2303.15127 (2023) - [i13]Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses. CoRR abs/2308.03258 (2023) - 2022
- [c16]Xianghuan He, Xitong Gao, Juanjuan Zhao, Chengxi Gao, Kejiang Ye:
Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM. CLOUD 2022: 39-53 - [c15]Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Improving Few-Shot Image Classification with Self-supervised Learning. CLOUD 2022: 54-68 - [c14]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack. NeurIPS 2022 - [c13]Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS 2022 - [i12]Yiren Zhao, Oluwatomisin Dada, Xitong Gao, Robert D. Mullins:
Revisiting Structured Dropout. CoRR abs/2210.02570 (2022) - [i11]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack. CoRR abs/2211.08008 (2022) - [i10]Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu:
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. CoRR abs/2212.09979 (2022) - 2021
- [c12]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFEAT: Piercing Through Adversarial Defenses With Latent Features. CVPR 2021: 5735-5745 - [c11]Xinquan Chen, Lujia Wang, Xitong Gao, Cheng-Zhong Xu:
Cloud-based Robot Path Planning in Dynamic Environments. RCAR 2021: 1355-1360 - [i9]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFEAT: Piercing Through Adversarial Defenses with Latent Features. CoRR abs/2104.09284 (2021) - [i8]Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. CoRR abs/2109.04925 (2021) - [i7]Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen:
Adversarial Attacks on ML Defense Models Competition. CoRR abs/2110.08042 (2021) - 2020
- [j1]Baoxin Zhao, Xitong Gao, Jianqi Liu, Juanjuan Zhao, Cheng-Zhong Xu:
Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction. IEEE Access 8: 76632-76641 (2020) - [c10]Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson:
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. DSN Workshops 2020: 16-24 - [c9]Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu:
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR 2020 - [c8]Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR 2020: 5130-5136 - [i6]Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik:
Probabilistic Dual Network Architecture Search on Graphs. CoRR abs/2003.09676 (2020)
2010 – 2019
- 2019
- [c7]Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu:
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT 2019: 45-53 - [c6]Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu:
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) 2019 - [c5]Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu:
Focused Quantization for Sparse CNNs. NeurIPS 2019: 5585-5594 - [i5]Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert D. Mullins, Ross Anderson, Cheng-Zhong Xu:
Sitatapatra: Blocking the Transfer of Adversarial Samples. CoRR abs/1901.08121 (2019) - [i4]Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu:
Efficient and Effective Quantization for Sparse DNNs. CoRR abs/1903.03046 (2019) - [i3]Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson:
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. CoRR abs/1909.02918 (2019) - [i2]Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu:
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. CoRR abs/1910.10075 (2019) - 2018
- [c4]Yiren Zhao, Xitong Gao, Robert D. Mullins, Chengzhong Xu:
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. EMDL@MobiSys 2018: 25-30 - [i1]Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu:
Dynamic Channel Pruning: Feature Boosting and Suppression. CoRR abs/1810.05331 (2018) - 2016
- [c3]Xitong Gao, John Wickerson, George A. Constantinides:
Automatically Optimizing the Latency, Area, and Accuracy of C Programs for High-Level Synthesis. FPGA 2016: 234-243 - 2015
- [c2]Xitong Gao, George A. Constantinides:
Numerical Program Optimization for High-Level Synthesis. FPGA 2015: 210-213 - 2013
- [c1]Xitong Gao, Samuel Bayliss, George A. Constantinides:
SOAP: Structural optimization of arithmetic expressions for high-level synthesis. FPT 2013: 112-119
Coauthor Index
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last updated on 2026-01-05 23:35 CET by the dblp team
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