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2020 – today
- 2024
[j17]Guanghao Yin
, Zefan Qu, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu:
Online Streaming Video Super-Resolution With Convolutional Look-Up Table. IEEE Trans. Image Process. 33: 2305-2317 (2024)- [j16]Yang Li, Zhenhua Li, Zhenhua Han, Quanlu Zhang, Xiaobo Ma:
Automating Cloud Deployment for Real-Time Online Foundation Model Inference. IEEE/ACM Trans. Netw. 32(2): 1509-1523 (2024) - [j15]Guopeng Li, Haisheng Tan, Liuyan Liu, Hao Zhou, Shaofeng H.-C. Jiang, Zhenhua Han, Xiang-Yang Li, Guoliang Chen:
DAG Scheduling in Mobile Edge Computing. ACM Trans. Sens. Networks 20(1): 12:1-12:25 (2024) - [c31]Guopeng Li, Haisheng Tan, Xuan Zhang, Chi Zhang, Ruiting Zhou, Zhenhua Han, Guoliang Chen:
Online Container Caching with Late-Warm for IoT Data Processing. ICDE 2024: 1547-1560 - [c30]Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu:
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable. OSDI 2024: 929-945 - [i9]Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu:
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable. CoRR abs/2405.19888 (2024) - [i8]Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu:
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. CoRR abs/2407.02490 (2024) - [i7]Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu:
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval. CoRR abs/2409.10516 (2024) - 2023
- [j14]Gang Li, Yuan Mengge, Yu Li, Jingang Huang, Ling Zhang, Haixuan Zhang, Zhenhua Han:
Seismic P-wave first-arrival picking model based on EQK-IncResNet. Concurr. Comput. Pract. Exp. 35(13) (2023) - [j13]Wenjie Wang, Zhenhua Han, Ji Pei, Giorgio Pavesi, Xiaobo Gong, Shouqi Yuan:
Energy efficiency optimization of water pump based on heuristic algorithm and computational fluid dynamics. J. Comput. Des. Eng. 10(1): 382-397 (2023) - [j12]Chi Zhang, Haisheng Tan, Haoqiang Huang, Zhenhua Han, Shaofeng H.-C. Jiang, Guopeng Li, Xiangyang Li:
Online Approximation Scheme for Scheduling Heterogeneous Utility Jobs in Edge Computing. IEEE/ACM Trans. Netw. 31(1): 352-365 (2023) - [c29]Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu:
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. ASPLOS (2) 2023: 266-280 - [c28]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou:
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. EuroSys 2023: 883-898 - [c27]Mingxia Li, Zhenhua Han, Chi Zhang, Ruiting Zhou, Yuanchi Liu, Haisheng Tan:
Dynamic Resource Allocation for Deep Learning Clusters with Separated Compute and Storage. INFOCOM 2023: 1-10 - [c26]Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo:
Optimizing Dynamic Neural Networks with Brainstorm. OSDI 2023: 797-815 - [c25]Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou:
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP 2023: 331-347 - [i6]Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou:
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. CoRR abs/2301.10936 (2023) - [i5]Guanghao Yin, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Donglin Bai, Haisheng Tan, Shouqian Sun, Yuqing Yang, Dongsheng Li, Lili Qiu:
Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion. CoRR abs/2303.00334 (2023) - [i4]Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han:
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR abs/2306.00714 (2023) - 2022
- [j11]Yuncong Hong, Bojie Lv, Rui Wang, Haisheng Tan, Zhenhua Han, Francis C. M. Lau:
Distributed Job Dispatching in Edge Computing Networks With Random Transmission Latency: A Low-Complexity POMDP Approach. IEEE Internet Things J. 9(6): 4152-4167 (2022) - [j10]Zhenhua Han, Haisheng Tan, Rui Wang, Yuncong Hong, Francis C. M. Lau:
Efficient Online Learning Based Cross-Tier Uplink Scheduling in HetNets. IEEE/ACM Trans. Netw. 30(6): 2389-2402 (2022) - [c24]Chi Zhang, Haisheng Tan, Guopeng Li, Zhenhua Han, Shaofeng H.-C. Jiang, Xiangyang Li:
Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing. INFOCOM 2022: 1059-1068 - [c23]Kai Chen, Heng Yao, Zhenhua Han:
Arithmetic optimization algorithm to optimize support vector machine for chip defect Identification. M2VIP 2022: 1-5 - [c22]Ji Li, Ming Huang, Xin Jiang, Fuxing Zang, Yuan Chao, Zhenhua Han:
Study on the Reliability of SemGCN in Gait Analysis. M2VIP 2022: 1-6 - [c21]Chengxia Ma, Yuan Chao, Junjie Zhu, Yaqian Wang, Wenhui Liu, Zhenhua Han:
Chip Surface Defect Recognition based on Improved Faster R-CNN. M2VIP 2022: 1-6 - [c20]Wei Zhang, Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo:
PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training. USENIX ATC 2022: 217-232 - [c19]Lingling Ye, Chi Zhang, Mingxia Li, Zhenhua Han, Haisheng Tan:
Cross-Model Operator Batching for Neural Network Architecture Search. WASA (2) 2022: 231-242 - 2021
- [j9]Haisheng Tan, Chi Zhang, Chao Xu, Yupeng Li, Zhenhua Han, Xiang-Yang Li:
Regularization-Based Coflow Scheduling in Optical Circuit Switches. IEEE/ACM Trans. Netw. 29(3): 1280-1293 (2021) - [j8]Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Mingxia Li:
Asymptotically Optimal Online Caching on Multiple Caches With Relaying and Bypassing. IEEE/ACM Trans. Netw. 29(4): 1841-1852 (2021) - [j7]Zhenhua Han, Haisheng Tan, Shaofeng H.-C. Jiang, Wanli Cao, Xiaoming Fu, Lan Zhang, Francis C. M. Lau:
SPIN: BSP Job Scheduling With Placement-Sensitive Execution. IEEE/ACM Trans. Netw. 29(5): 2267-2280 (2021) - 2020
- [j6]Bojie Lyu, Yuncong Hong, Haisheng Tan, Zhenhua Han, Rui Wang:
Cooperative Jobs Dispatching in Edge Computing Network with Unpredictable Uploading Delay. J. Commun. Inf. Networks 5(1): 75-85 (2020) - [j5]Jiaying Meng, Haisheng Tan, Xiang-Yang Li, Zhenhua Han, Bojie Li:
Online Deadline-Aware Task Dispatching and Scheduling in Edge Computing. IEEE Trans. Parallel Distributed Syst. 31(6): 1270-1286 (2020) - [c18]Zhenhua Han, Haisheng Tan, Shaofeng H.-C. Jiang, Xiaoming Fu, Wanli Cao, Francis C. M. Lau:
Scheduling Placement-Sensitive BSP Jobs with Inaccurate Execution Time Estimation. INFOCOM 2020: 1053-1062 - [c17]Yang Li, Zhenhua Han, Quanlu Zhang, Zhenhua Li, Haisheng Tan:
Automating Cloud Deployment for Deep Learning Inference of Real-time Online Services. INFOCOM 2020: 1668-1677 - [c16]Chi Zhang, Haisheng Tan, Haoqiang Huang, Zhenhua Han, Shaofeng H.-C. Jiang, Nikolaos M. Freris, Xiang-Yang Li:
Online dispatching and scheduling of jobs with heterogeneous utilities in edge computing. MobiHoc 2020: 101-110 - [c15]Yuncong Hong, Bojie Lv, Rui Wang, Haisheng Tan, Zhenhua Han, Hao Zhou, Francis C. M. Lau:
Online Distributed Job Dispatching with Outdated and Partially-Observable Information. MSN 2020: 315-322 - [c14]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang:
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. OSDI 2020: 515-532 - [c13]Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou:
Retiarii: A Deep Learning Exploratory-Training Framework. OSDI 2020: 919-936 - [c12]Wanli Cao, Haisheng Tan, Zhenhua Han, Shuokang Han, Mingxia Li, Xiangyang Li:
Online Learning-Based Co-task Dispatching with Function Configuration in Edge Computing. PDCAT 2020: 198-209 - [i3]Yuncong Hong, Bojie Lv, Rui Wang, Haisheng Tan, Zhenhua Han, Hao Zhou, Francis C. M. Lau:
Online Distributed Job Dispatching with Outdated and Partially-Observable Information. CoRR abs/2012.13756 (2020)
2010 – 2019
- 2019
- [j4]Zhenhua Han, Haisheng Tan, Rui Wang, Guihai Chen, Yupeng Li, Francis C. M. Lau:
Energy-Efficient Dynamic Virtual Machine Management in Data Centers. IEEE/ACM Trans. Netw. 27(1): 344-360 (2019) - [j3]Haisheng Tan, Shaofeng H.-C. Jiang, Yupeng Li, Xiang-Yang Li, Chenzi Zhang, Zhenhua Han, Francis Chi-Moon Lau:
Joint Online Coflow Routing and Scheduling in Data Center Networks. IEEE/ACM Trans. Netw. 27(5): 1771-1786 (2019) - [j2]Zhenhua Han, Haisheng Tan, Xiang-Yang Li, Shaofeng H.-C. Jiang, Yupeng Li, Francis C. M. Lau:
OnDisc: Online Latency-Sensitive Job Dispatching and Scheduling in Heterogeneous Edge-Clouds. IEEE/ACM Trans. Netw. 27(6): 2472-2485 (2019) - [c11]Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Liuyan Liu, Kai Han, Qinglin Zhao:
Camul: Online Caching on Multiple Caches with Relaying and Bypassing. INFOCOM 2019: 244-252 - [c10]Liuyan Liu, Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Xiang-Yang Li, Hong Huang:
Dependent task placement and scheduling with function configuration in edge computing. IWQoS 2019: 20:1-20:10 - [i2]Bojie Lv, Yuncong Hong, Haisheng Tan, Zhenhua Han, Rui Wang:
Cooperative Job Dispatching in Edge Computing Network with Unpredictable Uploading Delay. CoRR abs/1912.10732 (2019) - 2018
- [c9]Wencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou:
Scheduling CPU for GPU-based Deep Learning Jobs. SoCC 2018: 503 - [c8]Zhenhua Han, Haisheng Tan, Rui Wang, Shaojie Tang, Francis C. M. Lau:
Online Learning based Uplink Scheduling in HetNets with Limited Backhaul Capacity. INFOCOM 2018: 2348-2356 - [c7]Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou:
Gandiva: Introspective Cluster Scheduling for Deep Learning. OSDI 2018: 595-610 - 2017
- [j1]Yupeng Li, Yongzheng Jia, Haisheng Tan, Rui Wang, Zhenhua Han, Francis Chi-Moon Lau:
Congestion Game With Agent and Resource Failures. IEEE J. Sel. Areas Commun. 35(3): 764-778 (2017) - [c6]Haisheng Tan, Zhenhua Han, Xiang-Yang Li, Francis C. M. Lau:
Online job dispatching and scheduling in edge-clouds. INFOCOM 2017: 1-9 - 2016
- [c5]Zhenhua Han, Haisheng Tan, Guihai Chen, Rui Wang, Yifan Chen, Francis C. M. Lau:
Dynamic virtual machine management via approximate Markov decision process. INFOCOM 2016: 1-9 - [c4]Zhenhua Han, Yupeng Li, Haisheng Tan, Rui Wang, Yong Zhang:
Cross-Layer Protocol Design for Wireless Communication in Hybrid Data Center Networks. MSN 2016: 69-75 - [i1]Zhenhua Han, Haisheng Tan, Guihai Chen, Rui Wang, Yifan Chen, Francis C. M. Lau:
Dynamic Virtual Machine Management via Approximate Markov Decision Process. CoRR abs/1602.00097 (2016) - 2015
- [c3]Haisheng Tan, Jiajun Yu, Hongyu Liang, Rui Wang, Zhenhua Han:
Optimal Rendezvous Strategies for Different Environments in Cognitive Radio Networks. MSWiM 2015: 65-72 - [c2]Yupeng Li, Haisheng Tan, Yongcai Wang, Zhenhua Han, Francis C. M. Lau:
Selfish task-driven routing in hybrid networks. WiOpt 2015: 387-394 - 2014
- [c1]Zhenhua Han, Haisheng Tan, Yongcai Wang, Jipeng Zhou:
Channel Selection for Rendezvous with High Link Stability in Cognitive Radio Network. WASA 2014: 494-506
Coauthor Index
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last updated on 2024-10-22 21:13 CEST by the dblp team
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