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ORCIDCheng-Zhong Xu 0001
Chengzhong Xu 0001 – ChengZhong Xu 0001
Person information
- affiliation: University of Macau, SAR, China
- affiliation: Shenzhen Institutes of Advanced Technology, China
- affiliation (former): Wayne State University, Detroit, USA
Other persons with the same name
- Cheng-Zhong Xu 0002
![[0000-0003-1622-778X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1622-778X")
(aka: Chengzhong Xu 0002) — Laboratoire d'Automatique et de Génie des Procédés, Villeurbanne, France (and 1 more) - Chengzhong Xu 0003 — Yichang Center for Disease Control and Prevention, China
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2020 – today
- 2024
[j220]Zhenning Li, Zhiwei Chen, Yunjian Li, Chengzhong Xu:
Context-aware trajectory prediction for autonomous driving in heterogeneous environments. Comput. Aided Civ. Infrastructure Eng. 39(1): 120-135 (2024)- [j219]Li Sun, Juanjuan Zhao, Jun Zhang, Fan Zhang, Kejiang Ye, Chengzhong Xu:
STRmt: A state transition based model for real-time crowd counting in a metro system. Concurr. Comput. Pract. Exp. 36(14) (2024) - [j218]Weixi Liang, Rongshan Tang, Sihan Jiang, Ruqi Wang, Yubin Zhao, Cheng-Zhong Xu, Xudong Long, Zhuolong Chen, Xiaofan Li:
LiWi-HAR: Lightweight WiFi-Based Human Activity Recognition Using Distributed AIoT. IEEE Internet Things J. 11(1): 597-611 (2024) - [j217]Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Xiaohui Peng, Tony Xiao Han, Cheng-Zhong Xu:
Integrated Sensing and Communication From Learning Perspective: An SDP3 Approach. IEEE Internet Things J. 11(4): 5589-5603 (2024) - [j216]Ziyang Lu, Yubin Zhao, Xiaofan Li, Cheng-Zhong Xu:
Randomized Passive Energy Beamforming for Cooperative Localization in Reconfigurable Intelligent Surface-Assisted Wireless Backscattered Sensor Network. IEEE Internet Things J. 11(6): 9693-9707 (2024) - [j215]Ziyang Lu, Yubin Zhao, Yuming Ge, Cheng-Zhong Xu:
RACLN: Reconfigurable Intelligent Surface as Anchors for Cooperative Localization of Wireless Sensor Network. IEEE Internet Things J. 11(17): 28824-28837 (2024) - [j214]Yang Chen, Yubin Zhao, Yuming Ge, Cheng-Zhong Xu:
Game-Theoretic Power Allocation Scheme of Cooperative Localization in Hybrid Active-Passive Wireless Sensor Networks. IEEE Internet Things J. 11(18): 30027-30039 (2024) - [j213]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. 113(2): 699-723 (2024) - [j212]Tian Gao, Chengzhong Xu, Le Zhang, Hui Kong:
GSB: Group superposition binarization for vision transformer with limited training samples. Neural Networks 172: 106133 (2024) - [j211]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) - [j210]Wencheng Han, Xingping Dong, Yiyuan Zhang, David J. Crandall, Cheng-Zhong Xu, Jianbing Shen:
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7363-7376 (2024) - [j209]Qi Li, Weining Wang, Chengzhong Xu, Zhenan Sun, Ming-Hsuan Yang:
Learning Disentangled Representation for One-Shot Progressive Face Swapping. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8348-8364 (2024) - [j208]He Li, Ruihua Han, Zirui Zhao, Wei Xu, Qi Hao, Shuai Wang, Cheng-Zhong Xu:
Seamless Virtual Reality With Integrated Synchronizer and Synthesizer for Autonomous Driving. IEEE Robotics Autom. Lett. 9(5): 4218-4225 (2024) - [j207]Mingle Zhao, Jiahao Wang, Tianxiao Gao, Cheng-Zhong Xu, Hui Kong:
FMCW-LIO: A Doppler LiDAR-Inertial Odometry. IEEE Robotics Autom. Lett. 9(6): 5727-5734 (2024) - [j206]Jiexia Ye, Juanjuan Zhao, Furong Zheng, Cheng-Zhong Xu:
A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System. IEEE Trans. Intell. Transp. Syst. 25(11): 15614-15627 (2024) - [j205]Shuo Gu, Jiacheng Lu, Jian Yang, Cheng-Zhong Xu, Hui Kong:
Dense Top-View Semantic Completion With Sparse Guidance and Online Distillation. IEEE Trans. Intell. Veh. 9(1): 481-491 (2024) - [j204]Beibei Zhou, Yiming Tu, Zhong Jin, Cheng-Zhong Xu, Hui Kong:
HPPLO-Net: Unsupervised LiDAR Odometry Using a Hierarchical Point-to-Plane Solver. IEEE Trans. Intell. Veh. 9(1): 2727-2739 (2024) - [j203]Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu:
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. IEEE Trans. Intell. Veh. 9(4): 4632-4643 (2024) - [j202]Yongliang Yang, Yongping Pan, Cheng-Zhong Xu, Donald C. Wunsch:
Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3278-3290 (2024) - [j201]Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu:
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4246-4259 (2024) - [j200]Shutian Luo, Chenyu Lin, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Huanle Xu, Cheng-Zhong Xu:
Optimizing Resource Management for Shared Microservices: A Scalable System Design. ACM Trans. Comput. Syst. 42(1-2): 1:1-1:28 (2024) - [j199]Jiashu Wu, Hao Dai, Kenneth B. Kent, Jerome Yen, Cheng-Zhong Xu, Yang Wang:
Open Set Dandelion Network for IoT Intrusion Detection. ACM Trans. Internet Techn. 24(1): 4:1-4:26 (2024) - [j198]Xinliang Wei, Kejiang Ye, Xinghua Shi, Cheng-Zhong Xu, Yu Wang:
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds. IEEE Trans. Parallel Distributed Syst. 35(8): 1456-1468 (2024) - [j197]Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Cheng-Zhong Xu:
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. IEEE Trans. Parallel Distributed Syst. 35(12): 2513-2526 (2024) - [j196]Shuhui Chu, Chengxi Gao, Minxian Xu, Kejiang Ye, Zhu Xiao, Cheng-Zhong Xu:
Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing. IEEE Trans. Serv. Comput. 17(1): 30-46 (2024) - [j195]Xibin Jin, Guoliang Li, Shuai Wang, Miaowen Wen, Cheng-Zhong Xu, H. Vincent Poor:
Integrated Sensing and Communication for Edge Inference With End-to-End Multi-View Fusion. IEEE Wirel. Commun. Lett. 13(8): 2040-2044 (2024) - [c320]Xiang Li, Junbo Yin, Wei Li, Chengzhong Xu, Ruigang Yang, Jianbing Shen:
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection. AAAI 2024: 3208-3215 - [c319]Dongping Liao, Xitong Gao, Chengzhong Xu:
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. AAAI 2024: 3342-3350 - [c318]Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Chengzhong Xu:
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. AAAI 2024: 10332-10340 - [c317]Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu:
Deep Active Learning with Noise Stability. AAAI 2024: 13655-13663 - [c316]Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan:
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. AAAI 2024: 18108-18116 - [c315]Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu:
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. AAAI 2024: 20967-20974 - [c314]Zizhao Mo, Huanle Xu, Chengzhong Xu:
Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters. ASPLOS (2) 2024: 499-513 - [c313]Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu:
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders. LREC/COLING 2024: 10499-10510 - [c312]Chen Zhang, Wencheng Han, Yang Zhou, Jianbing Shen, Cheng-Zhong Xu, Wentao Liu:
Leveraging Frame Affinity for sRGB-to-RAWVideo De-Rendering. CVPR 2024: 25659-25668 - [c311]Chenxi Qiu, Sourabh Yadav, Yuede Ji, Anna Cinzia Squicciarini, Ram Dantu, Juanjuan Zhao, Cheng-Zhong Xu:
Fine-Grained Geo-Obfuscation to Protect Workers' Location Privacy in Time-Sensitive Spatial Crowdsourcing. EDBT 2024: 373-385 - [c310]Yanying Lin, Yanbo Li, Shijie Peng, Yingfei Tang, Shutian Luo, Haiying Shen, Cheng-Zhong Xu, Kejiang Ye:
QUART: Latency-Aware FaaS System for Pipelining Large Model Inference. ICDCS 2024: 1-12 - [c309]Xian Yu, Kejiang Ye, Dongbiao He, Xianfan Chen, Chengzhong Xu, Jianhui Li, Gaogang Xie:
MLPing: Real-Time Proactive Fault Detection and Alarm for Large-Scale Distributed IDC Network. ICDCS 2024: 913-924 - [c308]Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu:
Ranking-based Client Imitation Selection for Efficient Federated Learning. ICML 2024 - [c307]Tianxiao Gao, Mingle Zhao, Chengzhong Xu, Hui Kong:
Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering. ICRA 2024: 10238-10244 - [c306]Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu:
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. ICRA 2024: 14212-14219 - [c305]Jin Fang, Dingfu Zhou, Jingjing Zhao, Chenming Wu, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang:
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection. ICRA 2024: 14822-14829 - [c304]Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye:
Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint. ICWS 2024: 1306-1313 - [c303]Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu:
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. IJCAI 2024: 5945-5953 - [c302]Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu:
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. IJCAI 2024: 6841-6849 - [c301]Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, ChengZhong Xu:
Derm: SLA-aware Resource Management for Highly Dynamic Microservices. ISCA 2024: 424-436 - [c300]Jialiang Ma, Chunlin Tian, Li Li, Chengzhong Xu:
FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control. IWQoS 2024: 1-10 - [c299]Meihan Wu, Li Li, Tao Chang, Jie Zhou, Eric Rigall, Cui Miao, Xiaodong Wang, Chengzhong Xu:
PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity. IWQoS 2024: 1-6 - [c298]Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Chi Lin, Wang Cong, Cheng-Zhong Xu:
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. IWQoS 2024: 1-10 - [c297]Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li:
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. ACM Multimedia 2024: 8-17 - [c296]Wencheng Han, Chen Zhang, Yang Zhou, Wentao Liu, Chen Qian, Chengzhong Xu, Jianbing Shen:
Prior Metadata-Driven RAW Reconstruction: Eliminating the Need for Per-Image Metadata. ACM Multimedia 2024: 6279-6287 - [c295]Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, KaHou Tam, Li Li, Chengzhong Xu, Zhenning Li:
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. ACM Multimedia 2024: 11041-11050 - [c294]Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu:
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. SenSys 2024: 394-408 - [c293]Xiaosong Chen, Huanle Xu, ChengZhong Xu:
Optimizing Dynamic Data Center Provisioning through Speed Scaling: A Primal-Dual Perspective. SPAA 2024: 89-100 - [c292]Xingguo Pang, Yanze Zhang, Liu Liu, Dazhao Cheng, Chengzhong Xu, Xiaobo Zhou:
Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor. USENIX ATC 2024: 985-998 - [c291]Binbin Lu, Xumin Huang, Yuan Wu, Liping Qian, Dusit Niyato, Tony Q. S. Quek, Cheng-Zhong Xu:
Digital Twin Aided Predictive Scheduling and Bandwidth Allocation for Multi-Vehicle Cooperative Perception Systems. VTC Spring 2024: 1-6 - [d4]Liao Chen, Shutian Luo, Chenyu Lin, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Derm: SLA-aware Resource Management for Highly Dynamic Microservices. Version 1. Zenodo, 2024 [all versions]
- [d3]Liao Chen, Shutian Luo, Chenyu Lin, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Derm: SLA-aware Resource Management for Highly Dynamic Microservices. Version 2. Zenodo, 2024 [all versions] - [d2]Zizhao Mo, Huanle Xu, Chengzhong Xu:
Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters. Zenodo, 2024 - [i112]Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, Jianbing Shen:
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving. CoRR abs/2401.03641 (2024) - [i111]Tianxiao Gao, Mingle Zhao, Chengzhong Xu, Hui Kong:
Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering. CoRR abs/2402.00330 (2024) - [i110]Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu:
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. CoRR abs/2402.04318 (2024) - [i109]Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu:
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. CoRR abs/2402.19251 (2024) - [i108]Yanchen Guan, Haicheng Liao, Zhenning Li, Guohui Zhang, Chengzhong Xu:
World Models for Autonomous Driving: An Initial Survey. CoRR abs/2403.02622 (2024) - [i107]He Li, Ruihua Han, Zirui Zhao, Wei Xu, Qi Hao, Shuai Wang, Chengzhong Xu:
Seamless Virtual Reality with Integrated Synchronizer and Synthesizer for Autonomous Driving. CoRR abs/2403.03541 (2024) - [i106]Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Jianjun Chen, Shijie Lin, Chengyang Li, Chengzhong Xu, Yonina C. Eldar, Qi Hao, Jia Pan:
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning. CoRR abs/2403.06828 (2024) - [i105]Zhiyou Ji, Guoliang Li, Ruihua Han, Shuai Wang, Bing Bai, Wei Xu, Kejiang Ye, Chengzhong Xu:
MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication. CoRR abs/2404.10541 (2024) - [i104]Yebo Wu, Li Li, Chunlin Tian, Chengzhong Xu:
Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training. CoRR abs/2404.13349 (2024) - [i103]Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu:
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment. CoRR abs/2404.17520 (2024) - [i102]Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu:
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. CoRR abs/2404.19245 (2024) - [i101]Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Bonan Wang, Dongping Liao, Guofa Li, Chengzhong Xu:
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. CoRR abs/2405.01266 (2024) - [i100]Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, KaHou Tam, Zhenning Li, Chengzhong Xu:
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. CoRR abs/2405.02145 (2024) - [i99]Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu:
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning. CoRR abs/2405.04122 (2024) - [i98]Lujie Tang, Minxian Xu, Cheng-Zhong Xu, Kejiang Ye:
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales. CoRR abs/2405.20560 (2024) - [i97]Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Cheng-Zhong Xu, Ju Fan:
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data. CoRR abs/2407.03942 (2024) - [i96]Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu:
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR abs/2407.07020 (2024) - [i95]Haoyu Bai, Minxian Xu, Kejiang Ye, Rajkumar Buyya, Cheng-Zhong Xu:
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters. CoRR abs/2407.10169 (2024) - [i94]Linfeng Wen, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, ChengZhong Xu:
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. CoRR abs/2407.10173 (2024) - [i93]Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li:
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. CoRR abs/2407.16277 (2024) - [i92]Wei Gao, Zezhou Sun, Mingle Zhao, Cheng-Zhong Xu, Hui Kong:
Active Loop Closure for OSM-guided Robotic Mapping in Large-Scale Urban Environments. CoRR abs/2407.17078 (2024) - [i91]Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li:
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. CoRR abs/2407.17757 (2024) - [i90]Gongjin Lan, Yang Peng, Qi Hao, Chengzhong Xu:
SUSTechGAN: Image Generation for Object Recognition in Adverse Conditions of Autonomous Driving. CoRR abs/2408.01430 (2024) - [i89]Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Lin Chi, Wang Cong, Cheng-Zhong Xu:
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. CoRR abs/2408.09101 (2024) - [i88]An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu:
HMoE: Heterogeneous Mixture of Experts for Language Modeling. CoRR abs/2408.10681 (2024) - [i87]Yebo Wu, Li Li, Chunlin Tian, Dubing Chen, Chengzhong Xu:
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training. CoRR abs/2408.10826 (2024) - [i86]Dong Li, Lineng Chen, Cheng-Zhong Xu, Hui Kong:
UMAD: University of Macau Anomaly Detection Benchmark Dataset. CoRR abs/2408.12527 (2024) - [i85]Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, ChengZhong Xu:
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. CoRR abs/2409.01256 (2024) - [i84]Jingfeng Wu, Minxian Xu, Yiyuan He, Kejiang Ye, Chengzhong Xu:
CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications. CoRR abs/2409.05093 (2024) - [i83]Yiyuan He, Minxian Xu, Jingfeng Wu, Wanyi Zheng, Kejiang Ye, Cheng-Zhong Xu:
UELLM: A Unified and Efficient Approach for LLM Inference Serving. CoRR abs/2409.14961 (2024) - [i82]Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Chengzhong Xu:
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. CoRR abs/2410.11577 (2024) - [i81]Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu:
Multi-Uncertainty Aware Autonomous Cooperative Planning. CoRR abs/2411.00413 (2024) - 2023
- [j194]Juanjuan Zhao, Jiexia Ye, Minxian Xu, Cheng-Zhong Xu:
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior. Concurr. Comput. Pract. Exp. 35(18) (2023) - [j193]Banghe Wu, Cheng-Zhong Xu, Hui Kong:
LiDAR Road-Atlas: An Efficient Map Representation for General 3D Urban Environment. Field Robotics 3(1): 435-459 (2023) - [j192]Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Cheng-Zhong Xu:
Joint Semantic Transfer Network for IoT Intrusion Detection. IEEE Internet Things J. 10(4): 3368-3383 (2023) - [j191]Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. IEEE Internet Things J. 10(12): 10764-10777 (2023) - [j190]Yang Chen, Yubin Zhao, Xiaofan Li, Chengzhong Xu:
Cooperative Localization in Hybrid Active and Passive Wireless Sensor Networks With Unknown Tx Power. IEEE Internet Things J. 10(13): 11869-11887 (2023) - [j189]Jiashu Wu, Yang Wang, Hao Dai, Cheng-Zhong Xu, Kenneth B. Kent:
Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection. IEEE Internet Things J. 10(15): 13205-13220 (2023) - [j188]Wenhong Tian, Minxian Xu, Guangyao Zhou, Kui Wu, Cheng-Zhong Xu, Rajkumar Buyya:
Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center. J. Comput. Sci. Technol. 38(4): 773-792 (2023) - [j187]Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, ChengZhong Xu:
PAGroup: Privacy-aware grouping framework for high-performance federated learning. J. Parallel Distributed Comput. 175: 37-50 (2023) - [j186]Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Cheng-Zhong Xu:
GraphCS: Graph-based client selection for heterogeneity in federated learning. J. Parallel Distributed Comput. 177: 131-143 (2023) - [j185]Zhihao Hao, Bob Zhang, Dianhui Mao, Jerome Yen, Zhihua Zhao, Min Zuo, Hai-Sheng Li, Cheng-Zhong Xu:
A novel method using LSTM-RNN to generate smart contracts code templates for improved usability. Multim. Tools Appl. 82(27): 41669-41699 (2023) - [j184]Jiexia Ye, Juanjuan Zhao, Furong Zheng, Cheng-Zhong Xu:
Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data. Neural Comput. Appl. 35(4): 3325-3341 (2023) - [j183]Wenting Zou, Li Li, Zichen Xu, Dan Wu, Cheng-Zhong Xu, Yuhao Wang, Haoyang Zhu, Xiao Sun:
SmartDL: energy-aware decremental learning in a mobile-based federation for geo-spatial system. Neural Comput. Appl. 35(5): 3677-3696 (2023) - [j182]Shuai Wang, Chengyang Li, Derrick Wing Kwan Ng, Yonina C. Eldar, H. Vincent Poor, Qi Hao, Cheng-Zhong Xu:
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification. IEEE Netw. 37(3): 16-25 (2023) - [j181]