Chengzhong Xu - RankMe

246 papers A* 29A 23B 10C 3Misc 2Journal 145Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrownoutServe: SLO-Aware Inference Serving Under Bursty Workloads for MoE-Based LLMs. IEEE Trans. Computers Jianmin Hu, Minxian Xu, Kejiang Ye, Chengzhong Xu
2026	J	`jnl`	CoT-Drive: Efficient Motion Forecasting for Autonomous Driving With LLMs and Chain-of-Thought Prompting. IEEE Trans. Artif. Intell. Haicheng Liao, Hanlin Kong, Bonan Wang, Chengyue Wang, Kanye Ye Wang, Zhengbing He, Chengzhong Xu, Zhenning Li
2026	J	`jnl`	Communication Efficient Robotic Mixed Reality With Gaussian Splatting Cross-Layer Optimization. IEEE Trans. Cogn. Commun. Netw. Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2026	J	`jnl`	DOPD: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving. IEEE Trans. Serv. Comput. Junhan Liao, Minxian Xu, Wanyi Zheng, Yan Wang, Kejiang Ye, Rajkumar Buyya, Chengzhong Xu
2026	J	`jnl`	Direct Contact-Tolerant Motion Planning With Vision Language Models. CoRR He Li, Jian Sun, Chengyang Li, Guoliang Li, Qiyu Ruan, Shuai Wang, Chengzhong Xu
2026	A	`conf`	FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters. EuroSys Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
2026	A	`conf`	High Throughput and Low Latency LLM Serving via Adaptive KV Caching. EuroSys Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu
2026	J	`jnl`	MAIR: Model Agnostic Instance Reweighing for Heterogeneous Federated Learning. IEEE Trans. Mob. Comput. Dongping Liao, Xitong Gao, Chengzhong Xu
2026	A*	`conf`	NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint). AAAI Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Jianjun Chen, Shijie Lin, Chengyang Li, Chengzhong Xu, Yonina C. Eldar, Qi Hao, Jia Pan
2026	J	`jnl`	REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation. CoRR Shuqi Xiao, Maani Ghaffari, Chengzhong Xu, Hui Kong
2026	J	`jnl`	STT-GS: Sample-Then-Transmit Edge Gaussian Splatting With Joint Client Selection and Power Control. IEEE Trans. Cogn. Commun. Netw. Zhen Li, Xibin Jin, Guoliang Li, Shuai Wang, Miaowen Wen, Huseyin Arslan, Derrick Wing Kwan Ng, Chengzhong Xu
2026	J	`jnl`	SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments. CoRR Jian Sun, Yuming Huang, He Li, Shuqi Xiao, Shenyan Guo, Maani Ghaffari, Qingbiao Li, Chengzhong Xu, Hui Kong
2025	J	`jnl`	A Survey on Federated Fine-tuning of Large Language Models. CoRR Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Li Li, Chengzhong Xu
2025	J	`jnl`	A fully value distributional deep reinforcement learning framework for multi-agent cooperation. Neural Networks Mingsheng Fu, Liwei Huang, Fan Li, Hong Qu, Chengzhong Xu
2025	J	`jnl`	AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models. CoRR Tianyi Yan, Tao Tang, Xingtai Gui, Yongkang Li, Jiasen Zhesng, Weiyao Huang, Lingdong Kong, Wencheng Han, Xia Zhou, Xueyang Zhang, Yifei Zhan, Kun Zhan, Chengzhong Xu, Jianbing Shen
2025	J	`jnl`	Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs. CoRR Haicheng Liao, Bonan Wang, Junxian Yang, Chengyue Wang, Zhengbin He, Guohui Zhang, Chengzhong Xu, Zhenning Li
2025	—	`conf`	AssyLLM: Efficient Federated Fine-tuning of LLMs via Assembling Pre-trained Blocks. USENIX ATC Shichen Zhan, Li Li, Chengzhong Xu
2025	J	`jnl`	Auto-scaling Approaches for Cloud-native Applications: A Survey and Taxonomy. CoRR Minxian Xu, Linfeng Wen, Junhan Liao, Huaming Wu, Kejiang Ye, Chengzhong Xu
2025	A*	`conf`	BHViT: Binarized Hybrid Vision Transformer. CVPR Tian Gao, Yu Zhang, Zhiyuan Zhang, Huajun Liu, Kaijie Yin, Chengzhong Xu, Hui Kong
2025	J	`jnl`	BHViT: Binarized Hybrid Vision Transformer. CoRR Tian Gao, Zhiyuan Zhang, Yu Zhang, Huajun Liu, Kaijie Yin, Chengzhong Xu, Hui Kong
2025	A*	`conf`	Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. IJCAI Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. CoRR Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU. CoRR He Sun, Li Li, Mingjun Xiao, Chengzhong Xu
2025	—	`conf`	CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. USENIX ATC Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
2025	J	`jnl`	CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. CoRR Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
2025	J	`jnl`	Chain-of-Thought Guided Multimodal Large Language Models for Scene-Aware Accident Anticipation in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Haicheng Liao, Bin Rao, Haoyu Sun, Chengyue Wang, Qing Chang, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Cloud Native System for LLM Inference Serving. CoRR Minxian Xu, Junhan Liao, Jingfeng Wu, Yiyuan He, Kejiang Ye, Chengzhong Xu
2025	J	`jnl`	Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud-Native Applications. Softw. Pract. Exp. Jingfeng Wu, Minxian Xu, Yiyuan He, Kejiang Ye, Chengzhong Xu
2025	Misc	`conf`	Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection. ICASSP Zhixuan Xie, Jianjun Chen, Guoliang Li, Shuai Wang, Kejiang Ye, Yonina C. Eldar, Chengzhong Xu
2025	J	`jnl`	Communication Efficient Robotic Mixed Reality with Gaussian Splatting Cross-Layer Optimization. CoRR Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	J	`jnl`	E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving. CoRR Yihong Tang, Haicheng Liao, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li, Lijun Sun, Chengzhong Xu
2025	J	`jnl`	Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification. CoRR Guoliang Li, Xibin Jin, Yujie Wan, Chenxuan Liu, Tong Zhang, Shuai Wang, Chengzhong Xu
2025	J	`jnl`	Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification. IEEE Netw. Guoliang Li, Xibin Jin, Yujie Wan, Chenxuan Liu, Tong Zhang, Shuai Wang, Chengzhong Xu
2025	—	`conf`	Embracing Imbalance: Dynamic Load Shifting among Microservice Containers in Shared Clusters. ASPLOS (2) Shutian Luo, Jianxiong Liao, Chenyu Lin, Huanle Xu, Zhi Zhou, Chengzhong Xu
2025	J	`jnl`	FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters. CoRR Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
2025	A*	`conf`	Grad: Intelligent Microservice Scaling by Harnessing Resource Fungibility. HPCA Liao Chen, Chenyu Lin, Shutian Luo, Huanle Xu, Chengzhong Xu
2025	—	`conf`	Green Robotic Mixed Reality with Gaussian Splatting. INFOCOM WKSHPS Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	J	`jnl`	Green Robotic Mixed Reality with Gaussian Splatting. CoRR Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	A	`conf`	HCInfer: Hierarchical Coordination for Real-Time Collaborative Inference of LLM on the Edge. RTSS Kaiyuan Liu, Lizi Zhang, Chengzhong Xu, Li Li
2025	A	`conf`	Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism. SC Zizhao Mo, Jianxiong Liao, Huanle Xu, Zhi Zhou, Chengzhong Xu
2025	J	`jnl`	Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism. CoRR Zizhao Mo, Jianxiong Liao, Huanle Xu, Zhi Zhou, Chengzhong Xu
2025	J	`jnl`	High-Fidelity Differential-information Driven Binary Vision Transformer. CoRR Tian Gao, Zhiyuan Zhang, Kaijie Yin, Chengzhong Xu, Hui Kong
2025	J	`jnl`	Joint Beamforming Design for RIS-Empowered NOMA-ISAC Systems. CoRR Chunjie Wang, Xuhui Zhang, Jinke Ren, Wenchao Liu, Shuqiang Wang, Yanyan Shen, Kejiang Ye, Chengzhong Xu, Dusit Niyato
2025	J	`jnl`	MLDSE: Scaling Design Space Exploration Infrastructure for Multi-Level Hardware. CoRR Huanyu Qu, Weihao Zhang, Junfeng Lin, Songchen Ma, Hongyi Li, Luping Shi, Chengzhong Xu
2025	J	`jnl`	Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving. CoRR Bin Hu, Zijian Lu, Haicheng Liao, Chengran Yuan, Bin Rao, Yongkang Li, Guofa Li, Zhiyong Cui, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights. IEEE Trans. Intell. Transp. Syst. Haicheng Liao, Chengyue Wang, Kaiqun Zhu, Yilong Ren, Bolin Gao, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights. CoRR Haicheng Liao, Chengyue Wang, Kaiqun Zhu, Yilong Ren, Bolin Gao, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
2025	A*	`conf`	Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. EMNLP Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao
2025	J	`jnl`	Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. CoRR Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao
2025	A	`conf`	Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters. EuroSys Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu
2025	A	`conf`	Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization. IROS Jiayi Chen, Shuai Wang, Guoliang Li, Wei Xu, Guangxu Zhu, Derrick Wing Kwan Ng, Chengzhong Xu
2025	J	`jnl`	Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization. CoRR Jiayi Chen, Shuai Wang, Guoliang Li, Wei Xu, Guangxu Zhu, Derrick Wing Kwan Ng, Chengzhong Xu
2025	J	`jnl`	Robotic Sensor Network: Achieving Mutual Communication Control Assistance With Fast Cross-Layer Optimization. IEEE Wirel. Commun. Lett. Zhiyou Ji, Yujie Wan, Guoliang Li, Shuai Wang, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	C	`conf`	Rock: Serving Multimodal Models in Cloud with Heterogeneous-Aware Resource Orchestration for Thousands of LoRA Adapters. CLUSTER Shuaipeng Wu, Yanying Lin, Shijie Peng, Wenyan Chen, Chong Ma, Min Shen, Le Chen, Chengzhong Xu, Kejiang Ye
2025	J	`jnl`	STT-GS: Sample-Then-Transmit Edge Gaussian Splatting with Joint Client Selection and Power Control. CoRR Zhen Li, Xibin Jin, Guoliang Li, Shuai Wang, Miaowen Wen, Huseyin Arslan, Derrick Wing Kwan Ng, Chengzhong Xu
2025	J	`jnl`	Scaling Laws for Floating Point Quantization Training. CoRR Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Chengzhong Xu, Di Wang, Jie Jiang
2025	J	`jnl`	StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. ACM Trans. Auton. Adapt. Syst. Linfeng Wen, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, Chengzhong Xu
2025	J	`jnl`	Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles. CoRR Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Towards Hybrid Architectures for Big Data Analytics: Insights From Spark-MPI Integration. IEEE Trans. Serv. Comput. Mengbing Zhou, Qiuyan Li, Mingyuan Cai, Chengzhong Xu, Yang Wang
2025	—	`conf`	Understanding Diffusion Model Serving in Production: A Top-Down Analysis of Workload, Scheduling, and Resource Efficiency. SoCC Yanying Lin, Shuaipeng Wu, Shutian Luo, Hong Xu, Haiying Shen, Chong Ma, Min Shen, Le Chen, Chengzhong Xu, Lin Qu, Kejiang Ye
2025	J	`jnl`	WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy. IEEE Trans. Pattern Anal. Mach. Intell. Chengyue Wang, Haicheng Liao, Zhenning Li, Chengzhong Xu
2024	J	`jnl`	A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. CoRR Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. IEEE Trans. Intell. Veh. Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment. CoRR Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu
2024	J	`jnl`	A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu
2024	A*	`conf`	BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. AAAI Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Chengzhong Xu
2024	J	`jnl`	Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. CoRR Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Chengzhong Xu
2024	J	`jnl`	Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training. CoRR Yebo Wu, Li Li, Chunlin Tian, Chengzhong Xu
2024	A*	`conf`	CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. ACM Multimedia Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, Kahou Tam, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. CoRR Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. CoRR Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li, Chengzhong Xu
2024	J	`jnl`	CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications. CoRR Jingfeng Wu, Minxian Xu, Yiyuan He, Kejiang Ye, Chengzhong Xu
2024	J	`jnl`	Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection. CoRR Zhixuan Xie, Jianjun Chen, Guoliang Li, Shuai Wang, Kejiang Ye, Yonina C. Eldar, Chengzhong Xu
2024	J	`jnl`	Context-aware trajectory prediction for autonomous driving in heterogeneous environments. Comput. Aided Civ. Infrastructure Eng. Zhenning Li, Zhiwei Chen, Yunjian Li, Chengzhong Xu
2024	A*	`conf`	DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection. AAAI Xiang Li, Junbo Yin, Wei Li, Chengzhong Xu, Ruigang Yang, Jianbing Shen
2024	A*	`conf`	DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. AAAI Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan
2024	J	`jnl`	DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters. IEEE Trans. Serv. Comput. Haoyu Bai, Minxian Xu, Kejiang Ye, Rajkumar Buyya, Chengzhong Xu
2024	—	`ed.`	Data Science - 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, 2024, Proceedings, Part I ICPCSEE (1) Chengzhong Xu, Haiwei Pan, Chen Yu, Jianping Wang, Qilong Han, Xianhua Song, Zeguang Lu
2024	—	`ed.`	Data Science - 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, 2024, Proceedings, Part II ICPCSEE (2) Chengzhong Xu, Haiwei Pan, Chen Yu, Jianping Wang, Qilong Han, Xianhua Song, Zeguang Lu
2024	—	`ed.`	Data Science - 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, 2024, Proceedings, Part III ICPCSEE (3) Chengzhong Xu, Haiwei Pan, Chen Yu, Jianping Wang, Qilong Han, Xianhua Song, Zeguang Lu
2024	A*	`conf`	Deep Active Learning with Noise Stability. AAAI Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
2024	A*	`conf`	Derm: SLA-aware Resource Management for Highly Dynamic Microservices. ISCA Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu
2024	—	`conf`	Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor. USENIX ATC Xingguo Pang, Yanze Zhang, Liu Liu, Dazhao Cheng, Chengzhong Xu, Xiaobo Zhou
2024	Misc	`conf`	FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. SenSys Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu
2024	B	`conf`	FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control. IWQoS Jialiang Ma, Chunlin Tian, Li Li, Chengzhong Xu
2024	J	`jnl`	GSB: Group superposition binarization for vision transformer with limited training samples. Neural Networks Tian Gao, Chengzhong Xu, Le Zhang, Hui Kong
2024	—	`conf`	Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters. ASPLOS (2) Zizhao Mo, Huanle Xu, Chengzhong Xu
2024	A*	`conf`	Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. ICRA Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. CoRR Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. CoRR Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu
2024	A*	`conf`	Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. AAAI Dongping Liao, Xitong Gao, Chengzhong Xu
2024	J	`jnl`	Learning Disentangled Representation for One-Shot Progressive Face Swapping. IEEE Trans. Pattern Anal. Mach. Intell. Qi Li, Weining Wang, Chengzhong Xu, Zhenan Sun, Ming-Hsuan Yang
2024	J	`jnl`	Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR 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
2024	—	`conf`	LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders. LREC/COLING Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu
2024	A*	`conf`	MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. IJCAI Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu
2024	J	`jnl`	MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. CoRR Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Bonan Wang, Dongping Liao, Guofa Li, Chengzhong Xu
2024	A	`conf`	MLPing: Real-Time Proactive Fault Detection and Alarm for Large-Scale Distributed IDC Network. ICDCS Xian Yu, Kejiang Ye, Dongbiao He, Xianfan Chen, Chengzhong Xu, Jianhui Li, Gaogang Xie
2024	J	`jnl`	MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication. CoRR Zhiyou Ji, Guoliang Li, Ruihua Han, Shuai Wang, Bing Bai, Wei Xu, Kejiang Ye, Chengzhong Xu
2024	A	`conf`	Multi-Uncertainty Aware Autonomous Cooperative Planning. IROS Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu
2024	J	`jnl`	Multi-Uncertainty Aware Autonomous Cooperative Planning. CoRR Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu
2024	J	`jnl`	NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. CoRR Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training. CoRR Yebo Wu, Li Li, Chunlin Tian, Dubing Chen, Chengzhong Xu
2024	J	`jnl`	NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning. CoRR Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Jianjun Chen, Shijie Lin, Chengyang Li, Chengzhong Xu, Yonina C. Eldar, Qi Hao, Jia Pan
2024	A*	`conf`	Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering. ICRA Tianxiao Gao, Mingle Zhao, Chengzhong Xu, Hui Kong
2024	J	`jnl`	Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering. CoRR Tianxiao Gao, Mingle Zhao, Chengzhong Xu, Hui Kong
2024	B	`conf`	Optimizing Dynamic Data Center Provisioning through Speed Scaling: A Primal-Dual Perspective. SPAA Xiaosong Chen, Huanle Xu, Chengzhong Xu
2024	B	`conf`	PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity. IWQoS Meihan Wu, Li Li, Tao Chang, Jie Zhou, Eric Rigall, Cui Miao, Xiaodong Wang, Chengzhong Xu
2024	A*	`conf`	Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. IJCAI Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu
2024	A	`conf`	Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint. ICWS Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
2024	A*	`conf`	Prior Metadata-Driven RAW Reconstruction: Eliminating the Need for Per-Image Metadata. ACM Multimedia Wencheng Han, Chen Zhang, Yang Zhou, Wentao Liu, Chen Qian, Chengzhong Xu, Jianbing Shen
2024	A*	`conf`	Ranking-based Client Imitation Selection for Efficient Federated Learning. ICML Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu
2024	J	`jnl`	Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning. CoRR Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu
2024	J	`jnl`	Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. CoRR Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, Chengzhong Xu
2024	A	`conf`	SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. SC Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu
2024	J	`jnl`	SUSTechGAN: Image Generation for Object Recognition in Adverse Conditions of Autonomous Driving. CoRR Gongjin Lan, Yang Peng, Qi Hao, Chengzhong Xu
2024	J	`jnl`	Seamless Virtual Reality with Integrated Synchronizer and Synthesizer for Autonomous Driving. CoRR He Li, Ruihua Han, Zirui Zhao, Wei Xu, Qi Hao, Shuai Wang, Chengzhong Xu
2024	J	`jnl`	StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. CoRR Linfeng Wen, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, Chengzhong Xu
2024	A*	`conf`	Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. AAAI Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu
2024	A*	`conf`	When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. ACM Multimedia Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. CoRR Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	World Models for Autonomous Driving: An Initial Survey. CoRR Yanchen Guan, Haicheng Liao, Zhenning Li, Guohui Zhang, Chengzhong Xu
2023	J	`jnl`	Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection. CoRR Jiashu Wu, Yang Wang, Hao Dai, Chengzhong Xu, Kenneth B. Kent
2023	A*	`conf`	Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. CVPR Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu
2023	J	`jnl`	BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. CoRR Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Shengbo Eben Li, Chengzhong Xu
2023	J	`jnl`	ChainsFormer: A Chain Latency-aware Resource Provisioning Approach for Microservices Cluster. CoRR Chenghao Song, Minxian Xu, Kejiang Ye, Huaming Wu, Sukhpal Singh Gill, Rajkumar Buyya, Chengzhong Xu
2023	J	`jnl`	Concave-Hull Induced Graph-Gain for Fast and Robust Robotic Exploration. IEEE Robotics Autom. Lett. Zezhou Sun, Banghe Wu, Chengzhong Xu, Hui Kong
2023	J	`jnl`	Cooperative Localization in Hybrid Active and Passive Wireless Sensor Networks With Unknown Tx Power. IEEE Internet Things J. Yang Chen, Yubin Zhao, Xiaofan Li, Chengzhong Xu
2023	J	`jnl`	Cost-Driven Data Caching in Edge-Based Content Delivery Networks. IEEE Trans. Mob. Comput. Yang Wang, Hao Dai, Xinxin Han, Pengfei Wang, Yong Zhang, Chengzhong Xu
2023	J	`jnl`	Edge Accelerated Robot Navigation with Hierarchical Motion Planning. CoRR Guoliang Li, Ruihua Han, Shuai Wang, Fei Gao, Yonina C. Eldar, Chengzhong Xu
2023	—	`conf`	Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees. ASPLOS (1) Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu
2023	A	`conf`	FedCoop: Cooperative Federated Learning for Noisy Labels. ECAI Kahou Tam, Li Li, Yan Zhao, Chengzhong Xu
2023	J	`jnl`	Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks. IEEE Trans. Cloud Comput. Chengxi Gao, Shuhui Chu, Hong Xu, Minxian Xu, Kejiang Ye, Chengzhong Xu
2023	J	`jnl`	GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models. CoRR Haicheng Liao, Huanming Shen, Zhenning Li, Chengyue Wang, Guofa Li, Yiming Bie, Chengzhong Xu
2023	A	`conf`	HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles. ICDCS Jialiang Ma, Li Li, Zejiang Wang, Jun Wang, Chengzhong Xu
2023	J	`jnl`	Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. CoRR Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu
2023	J	`jnl`	Inflected Forms Are Redundant in Question Generation Models. CoRR Xingwu Sun, Hongyin Tang, Chengzhong Xu
2023	A	`conf`	Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. SC Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu
2023	A	`conf`	Let It Go: Relieving Garbage Collection Pain for Latency Critical Applications in Golang. HPDC Junxian Zhao, Xiaobo Zhou, Sang-Yoon Chang, Chengzhong Xu
2023	A	`conf`	LiDAR-SGMOS: Semantics-Guided Moving Object Segmentation with 3D LiDAR. IROS Shuo Gu, Suling Yao, Jian Yang, Chengzhong Xu, Hui Kong
2023	J	`jnl`	Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation. IEEE Trans. Neural Networks Learn. Syst. Yongliang Yang, Bahare Kiumarsi, Hamidreza Modares, Chengzhong Xu
2023	J	`jnl`	Open Set Dandelion Network for IoT Intrusion Detection. CoRR Jiashu Wu, Hao Dai, Kenneth B. Kent, Jerome Yen, Chengzhong Xu, Yang Wang
2023	J	`jnl`	PAGroup: Privacy-aware grouping framework for high-performance federated learning. J. Parallel Distributed Comput. Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Chengzhong Xu
2023	J	`jnl`	Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster. CoRR Minxian Xu, Lei Yang, Yang Wang, Chengxi Gao, Linfeng Wen, Guoyao Xu, Liping Zhang, Kejiang Ye, Chengzhong Xu
2023	J	`jnl`	Semantic-based conditional generative adversarial hashing with pairwise labels. Pattern Recognit. Qi Li, Weining Wang, Yuanyan Tang, Chengzhong Xu, Zhenan Sun
2023	J	`jnl`	Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
2023	A*	`conf`	Toward Efficient Automated Feature Engineering. ICDE Kafeng Wang, Pengyang Wang, Chengzhong Xu
2023	A	`conf`	Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. EuroSys Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu
2023	J	`jnl`	Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map. CoRR Yuming Huang, Yi Gu, Chengzhong Xu, Hui Kong
2023	J	`jnl`	iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning. CoRR Lexiong Huang, Ruihua Han, Guoliang Li, He Li, Shuai Wang, Yang Wang, Chengzhong Xu
2022	A*	`conf`	Ada-Detector: Adaptive Frontier Detector for Rapid Exploration. ICRA Zezhou Sun, Banghe Wu, Chengzhong Xu, Hui Kong
2022	A*	`conf`	An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks. EMNLP Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu
2022	J	`jnl`	Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions. IEEE Trans. Computers Yang Wang, Min Li, Hao Dai, Kenneth B. Kent, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	Deep Active Learning with Noise Stability. CoRR Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
2022	A	`conf`	Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles. ICDCS Chenxi Qiu, Sourabh Yadav, Anna Cinzia Squicciarini, Qing Yang, Song Fu, Juanjuan Zhao, Chengzhong Xu
2022	J	`jnl`	Efficient Multi-Channel Computation Offloading for Mobile Edge Computing: A Game-Theoretic Approach. IEEE Trans. Cloud Comput. Shuhui Chu, Zhiyi Fang, Shinan Song, Zhanyang Zhang, Chengxi Gao, Chengzhong Xu
2022	J	`jnl`	EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment. CoRR Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification. CoRR Shuai Wang, Chengyang Li, Qi Hao, Chengzhong Xu, Derrick Wing Kwan Ng, Yonina C. Eldar, H. Vincent Poor
2022	J	`jnl`	Graph Gain: A Concave-Hull Based Volumetric Gain for Robotic Exploration. CoRR Zezhou Sun, Huajun Liu, Chengzhong Xu, Hui Kong
2022	A*	`conf`	HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud. ICRA Zhixing Hou, Yan Yan, Chengzhong Xu, Hui Kong
2022	J	`jnl`	HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud. CoRR Zhixing Hou, Yan Yan, Chengzhong Xu, Hui Kong
2022	A	`conf`	Holmes: SMT Interference Diagnosis and CPU Scheduling for Job Co-location. HPDC Aidi Pi, Xiaobo Zhou, Chengzhong Xu
2022	A	`conf`	Improving Concurrent GC for Latency Critical Services in Multi-tenant Systems. Middleware Junxian Zhao, Aidi Pi, Xiaobo Zhou, Sang-Yoon Chang, Chengzhong Xu
2022	J	`jnl`	Inadequately Pre-trained Models are Better Feature Extractors. CoRR Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou
2022	J	`jnl`	Joint Semantic Transfer Network for IoT Intrusion Detection. CoRR Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	Learning Disentangled Representation for One-shot Progressive Face Swapping. CoRR Qi Li, Weining Wang, Chengzhong Xu, Zhenan Sun
2022	A	`conf`	Learning Moving-Object Tracking with FMCW LiDAR. IROS Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong
2022	J	`jnl`	Learning Moving-Object Tracking with FMCW LiDAR. CoRR Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong
2022	J	`jnl`	MIX-RS: A Multi-indexing System based on HDFS for Remote Sensing Data Storage. CoRR Jiashu Wu, Jingpan Xiong, Hao Dai, Yang Wang, Chengzhong Xu
2022	J	`jnl`	MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation. CoRR Yi Gu, Yuming Huang, Chengzhong Xu, Hui Kong
2022	C	`conf`	Ordis: A Dynamic Order-Dispatch Algorithm for Ridehailing and Ridesharing in a Large Region. ICA3PP Ming Jin, Juanjuan Zhao, Yang Wang, Chengzhong Xu
2022	J	`jnl`	Osprey: a heterogeneous search framework for spatial-temporal similarity. Computing Hao Dai, Yang Wang, Chengzhong Xu
2022	J	`jnl`	PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. Softw. Pract. Exp. Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation. CoRR Jiashu Wu, Hao Dai, Yang Wang, Shigen Shen, Chengzhong Xu
2022	J	`jnl`	PackCache: An Online Cost-driven Data Caching Algorithm in the Cloud. CoRR Jiashu Wu, Hao Dai, Yang Wang, Yong Zhang, Dong Huang, Chengzhong Xu
2022	—	`conf`	The power of prediction: microservice auto scaling via workload learning. SoCC Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu
2022	J	`jnl`	Toward Efficient Automated Feature Engineering. CoRR Kafeng Wang, Pengyang Wang, Chengzhong Xu
2022	J	`jnl`	Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach. CoRR Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	Towards scalable and efficient Deep-RL in edge computing: A game-based partition approach. J. Parallel Distributed Comput. Hao Dai, Jiashu Wu, Yang Wang, Chengzhong Xu
2022	—	`conf`	TrafficAdaptor: an adaptive obfuscation strategy for vehicle location privacy against traffic flow aware attacks. SIGSPATIAL/GIS Chenxi Qiu, Li Yan, Anna Cinzia Squicciarini, Juanjuan Zhao, Chengzhong Xu, Primal Pappachan
2022	A	`ed.`	Web Services - ICWS 2021 - 28th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings ICWS Chengzhong Xu, Yunni Xia, Yuchao Zhang, Liang-Jie Zhang
2022	J	`jnl`	esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments. ACM Trans. Internet Techn. Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu
2021	J	`jnl`	A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization. CoRR Zhenning Li, Chengzhong Xu, Guohui Zhang
2021	A*	`conf`	A general elimination strategy for camera motion estimation. ICRA Yaqing Ding, Yingna Su, Chengzhong Xu, Jian Yang, Hui Kong
2021	J	`jnl`	AucSwap: A Vickrey auction modeled decentralized cross-blockchain asset transfer protocol. J. Syst. Archit. Weiwei Liu, Huaming Wu, Tianhui Meng, Rui Wang, Yang Wang, Chengzhong Xu
2021	—	`conf`	Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis. SoCC Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu
2021	A*	`conf`	Cost-Driven Data Caching in the Cloud: An Algorithmic Approach. INFOCOM Yang Wang, Yong Zhang, Xinxin Han, Pengfei Wang, Chengzhong Xu, Joseph Horton, Joseph C. Culberson
2021	A*	`conf`	CrackFormer: Transformer Network for Fine-Grained Crack Detection. ICCV Huajun Liu, Xiangyu Miao, Christoph Mertz, Chengzhong Xu, Hui Kong
2021	J	`jnl`	DEAL: Decremental Energy-Aware Learning in a Federated System. CoRR Wenting Zou, Li Li, Zichen Xu, Chengzhong Xu
2021	B	`conf`	FIFL: A Fair Incentive Mechanism for Federated Learning. ICPP Liang Gao, Li Li, Yingwen Chen, Wenli Zheng, Chengzhong Xu, Ming Xu
2021	—	`ch.`	Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. Mobile Edge Computing Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya
2021	J	`jnl`	Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. CoRR Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2021	J	`jnl`	Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. CoRR Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
2021	J	`jnl`	Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. CoRR Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2021	J	`jnl`	One Shot Face Swapping on Megapixels. CoRR Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun
2021	J	`jnl`	PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing. CoRR Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu
2021	J	`jnl`	Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center. CoRR Wenhong Tian, Minxian Xu, Guangyao Zhou, Kui Wu, Chengzhong Xu, Rajkumar Buyya
2021	J	`jnl`	SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou
2021	J	`jnl`	Sova: A Software-Defined Autonomic Framework for Virtual Network Allocations. IEEE Trans. Parallel Distributed Syst. Zhiyong Ye, Yang Wang, Shuibing He, Chengzhong Xu, Xian-He Sun
2021	J	`jnl`	Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments. CoRR Yandong Liu, Chengzhong Xu, Hui Kong
2020	J	`jnl`	Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Trans. Computers Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu
2020	B	`conf`	CD-Guide: A Reinforcement Learning based Dispatching and Charging Approach for Electric Taxicabs. MASS Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Chengzhong Xu
2020	J	`jnl`	COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. CoRR Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu
2020	B	`conf`	Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations. CCGRID Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Chengzhong Xu, Rajkumar Buyya
2020	—	`conf`	FLSim: An Extensible and Reusable Simulation Framework for Federated Learning. SimuTools (1) Li Li, Jun Wang, Chengzhong Xu
2020	—	`conf`	FastThetaJoin: An Optimization on Multi-way Data Stream θ-join with Range Constraints. ICA3PP (1) Ziyue Hu, Xiaopeng Fan, Yang Wang, Chengzhong Xu
2020	J	`jnl`	Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. CoRR Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya
2020	J	`jnl`	How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	—	`conf`	HySync: Hybrid Federated Learning with Effective Synchronization. HPCC/DSS/SmartCity Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu
2020	A	`conf`	MobiCharger: Optimal Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging. ICDCS Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Chengzhong Xu
2020	B	`conf`	Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	B	`conf`	Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	J	`jnl`	Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	J	`jnl`	RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. CoRR Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2020	B	`conf`	Reinforcement Learning based Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging. MASS Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Chengzhong Xu
2020	J	`jnl`	SMig-RL: An Evolutionary Migration Framework for Cloud Services Based on Deep Reinforcement Learning. ACM Trans. Internet Techn. Hongshuai Ren, Yang Wang, Chengzhong Xu, Xi Chen
2020	J	`jnl`	Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
2020	—	`conf`	Towards Elastic Data Warehousing by Decoupling Data Management and Computation. ICCBDC Zhi Liu, Haowen Wu, Tongxin Bai, Yang Wang, Chengzhong Xu
2020	J	`jnl`	XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. CoRR Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2019	—	`conf`	A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. IEEE BigData Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li
2019	J	`jnl`	Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems. CoRR Boyi Liu, Lujia Wang, Ming Liu, Chengzhong Xu
2018	—	`conf`	A Epilepsy Drug Recommendation System by Implicit Feedback and Crossing Recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Chun Chen, Lu Zhang, Xiaopeng Fan, Yang Wang, Chengzhong Xu, Renkai Liu
2018	A	`conf`	A Migratory Heterogeneity-Aware Data Layout Scheme for Parallel File Systems. IPDPS Shuibing He, Xian-He Sun, Yang Wang, Chengzhong Xu
2018	J	`jnl`	Configuring in-memory cluster computing using random forest. Future Gener. Comput. Syst. Zhendong Bei, Zhibin Yu, Ni Luo, Chuntao Jiang, Chengzhong Xu, Shengzhong Feng
2018	J	`jnl`	MIA: Metric Importance Analysis for Big Data Workload Characterization. IEEE Trans. Parallel Distributed Syst. Zhibin Yu, Wen Xiong, Lieven Eeckhout, Zhendong Bei, Avi Mendelson, Chengzhong Xu
2018	—	`conf`	Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. EMDL@MobiSys Yiren Zhao, Xitong Gao, Robert Mullins, Chengzhong Xu
2018	J	`jnl`	QIG: Quantifying the Importance and Interaction of GPGPU Architecture Parameters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhibin Yu, Jing Wang, Lieven Eeckhout, Chengzhong Xu
2018	J	`jnl`	Urban-Scale Human Mobility Modeling With Multi-Source Urban Network Data. IEEE/ACM Trans. Netw. Desheng Zhang, Tian He, Fan Zhang, Chengzhong Xu
2017	C	`conf`	A Fusion Financial Prediction Strategy Based on RNN and Representative Pattern Discovery. PDCAT Lu Zhang, Xiaopeng Fan, Chengzhong Xu
2017	—	`conf`	A Hash-Based Space-Efficient Page-Level FTL for Large-Capacity SSDs. NAS Fan Ni, Chunyi Liu, Yang Wang, Chengzhong Xu, Xiao Zhang, Song Jiang
2017	J	`jnl`	A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems. IEEE Trans. Intell. Transp. Syst. Jun Zhang, Dayong Shen, Lai Tu, Fan Zhang, Chengzhong Xu, Yi Wang, Chen Tian, Xiangyang Li, Benxiong Huang, Zhengxi Li
2017	—	`conf`	A data-driven congestion diffusion model for characterizing traffic in metrocity scales. IEEE BigData Baoxin Zhao, Chengzhong Xu, Siyuan Liu
2017	J	`jnl`	ATH: Auto-Tuning HBase's Configuration via Ensemble Learning. IEEE Access Wen Xiong, Zhengdong Bei, Chengzhong Xu, Zhibin Yu
2017	A*	`conf`	CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic. INFOCOM Li Yan, Haiying Shen, Juanjuan Zhao, Chengzhong Xu, Feng Luo, Chenxi Qiu
2017	B	`conf`	Data Caching in Next Generation Mobile Cloud Services, Online vs. Off-Line. ICPP Yang Wang, Shuibing He, Xiaopeng Fan, Chengzhong Xu, Joseph C. Culberson, Joseph Horton
2017	J	`jnl`	On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach. ACM Trans. Auton. Adapt. Syst. Yang Wang, Bharadwaj Veeravalli, Chen-Khong Tham, Shuibing He, Chengzhong Xu
2017	J	`jnl`	Raccoon: A Novel Network I/O Allocation Framework for Workload-Aware VM Scheduling in Virtual Environments. IEEE Trans. Parallel Distributed Syst. Lingfang Zeng, Yang Wang, Xiaopeng Fan, Chengzhong Xu
2017	—	`conf`	Service Migrations in the Cloud for Mobile Accesses: A Reinforcement Learning Approach. NAS Shan Cao, Yang Wang, Chengzhong Xu
2017	J	`jnl`	Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data. IEEE Trans. Intell. Transp. Syst. Juanjuan Zhao, Qiang Qu, Fan Zhang, Chengzhong Xu, Siyuan Liu
2016	—	`conf`	A Smart Cloud Robotic System Based on Cloud Computing Services. CCBD Fenfen Chen, Lujia Wang, Jue Lu, Fuji Ren, Yang Wang, Xi Zhang, Chengzhong Xu
2016	—	`conf`	Characterizing On-Bus WiFi Passenger Behaviors by Approximate Search and Cluster Analysis. CCBD Manhua Jiang, Xiaopeng Fan, Fan Zhang, Chengzhong Xu, Haixia Mao, Renkai Liu
2016	—	`conf`	Design and Implementation of a Role-Based Access Control for Categorized Resource in Smart Community Systems. CCBD Siping Shi, Chengzhong Xu
2016	—	`conf`	Hitchhike: An I/O Scheduler Enabling Writeback for Small Synchronous Writes. CCBD Xing Liu, Song Jiang, Yang Wang, Chengzhong Xu
2016	—	`conf`	Online Fake Drug Detection System in Heterogeneous Platforms Using Big Data Analysis. CCBD Yutian Liang, Yubin Zhao, Dashun Que, Xia Zhang, Chengzhong Xu
2016	—	`conf`	Performance Modeling for Spark Using SVM. CCBD Ni Luo, Zhibin Yu, Zhendong Bei, Chengzhong Xu, Chuntao Jiang, Lingfeng Lin
2016	—	`conf`	Using Weighted SVM for Identifying User from Gait with Smart Phone. CCBD Qingquan Lai, Bangdao Chen, Chengzhong Xu
1997	—	`book`	Load balancing in parallel computers - theory and practice. Chengzhong Xu, Francis C. M. Lau