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ORCIDHongzhi Chen
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
- 2024
[j20]Fu Zhang
, Hongzhi Chen, Yuzhe Shi, Jingwei Cheng, Jinghao Lin:
Joint framework for tensor decomposition-based temporal knowledge graph completion. Inf. Sci. 654: 119853 (2024)- [j19]De Mi, Hongzhi Chen, Zheng Chu, Pei Xiao, Yiyan Wu, Chin-Liang Wang:
Rate-Splitting Multiple Access With Finite-Alphabet Constellations: Precoder Optimization and Achievable Rate Performance. IEEE Trans. Green Commun. Netw. 8(4): 1293-1307 (2024) - [j18]Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Efficient $k$k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches. IEEE Trans. Knowl. Data Eng. 36(4): 1518-1536 (2024) - [c34]Hongzhi Chen, Feng Pang:
A decision-support agent framework and its application in industry. CSAIDE 2024: 131-137 - [c33]Yusheng Huang, Xingyu Zhao, Hongzhi Chen, Jiada Lu, Shuyu Zhang:
GhostPAModule: Optimizing Cheap Operation via Feature Enhancement. ICIGP 2024: 267-271 - [c32]Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng:
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. KDD 2024: 6627-6632 - 2023
- [j17]Tatiana Jin, Boyang Li, Yichao Li, Qihui Zhou, Qianli Ma, Yunjian Zhao, Hongzhi Chen, James Cheng:
Circinus: Fast Redundancy-Reduced Subgraph Matching. Proc. ACM Manag. Data 1(1): 12:1-12:26 (2023) - [j16]Hongzhi Chen, Junqiang Lu, Xiaodong Ju, Baiyong Men, Wenxiao Qiao:
Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector. Sensors 23(8): 3928 (2023) - [j15]Kaidi Wang, Hongzhi Chen, De Mi, Pei Xiao:
A Rate-Splitting Empowered NOMA Network: Power Allocation and User Pairing. IEEE Trans. Veh. Technol. 72(12): 15665-15680 (2023) - [c31]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI 2023: 103-118 - [c30]Hongzhi Chen, Lifu Liu, Songyan Xue, Yan Sun, Jiyong Pang:
Active Sensing for Beam Management: A Deep-Learning Approach. WCNC 2023: 1-6 - [c29]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - 2022
- [j14]Chenguang Zheng, Hongzhi Chen, Yuxuan Cheng, Zhezheng Song, Yifan Wu, Changji Li, James Cheng, Hao Yang, Shuai Zhang:
ByteGNN: Efficient Graph Neural Network Training at Large Scale. Proc. VLDB Endow. 15(6): 1228-1242 (2022) - [j13]Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jie Zhang:
G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture. Proc. VLDB Endow. 15(11): 2545-2558 (2022) - [j12]Changji Li, Hongzhi Chen, Shuai Zhang, Yingqian Hu, Chao Chen, Zhenjie Zhang, Meng Li, Xiangchen Li, Dongqing Han, Xiaohui Chen, Xudong Wang, Huiming Zhu, Xuwei Fu, Tingwei Wu, Hongfei Tan, Hengtian Ding, Mengjin Liu, Kangcheng Wang, Ting Ye, Lei Li, Xin Li, Yu Wang, Chenguang Zheng, Hao Yang, James Cheng:
ByteGraph: A High-Performance Distributed Graph Database in ByteDance. Proc. VLDB Endow. 15(12): 3306-3318 (2022) - [c28]Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang:
Colorful h-star Core Decomposition. ICDE 2022: 2588-2601 - [c27]Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Hongzhi Chen, Guoren Wang:
Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach. SIGMOD Conference 2022: 2034-2047 - [c26]Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Lightning Fast and Space Efficient k-clique Counting. WWW 2022: 1191-1202 - [i10]Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang:
Measuring and Improving the Use of Graph Information in Graph Neural Networks. CoRR abs/2206.13170 (2022) - [i9]Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang:
A Representation Learning Framework for Property Graphs. CoRR abs/2206.13176 (2022) - 2021
- [j11]Hongzhi Chen, De Mi, Tong Wang, Zheng Chu, Yin Xu, Dazhi He, Pei Xiao:
Rate-Splitting for Multicarrier Multigroup Multicast: Precoder Design and Error Performance. IEEE Trans. Broadcast. 67(3): 619-630 (2021) - [j10]Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong:
Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 731-744 (2021) - [i8]Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jie Zhang:
G-Tran: Making Distributed Graph Transactions Fast. CoRR abs/2105.04449 (2021) - [i7]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR abs/2112.08541 (2021) - 2020
- [j9]Eduardo Garro, Manuel Fuentes, Jose Luis Carcel, Hongzhi Chen, De Mi, Fasil Tesema, Jordi Joan Gimenez, David Gomez-Barquero:
5G Mixed Mode: NR Multicast-Broadcast Services. IEEE Trans. Broadcast. 66(2): 390-403 (2020) - [j8]Manuel Fuentes, De Mi, Hongzhi Chen, Eduardo Garro, Jose Luis Carcel, David Vargas, Belkacem Mouhouche, David Gomez-Barquero:
2020 Scott Helt Memorial Award For the Best Paper Published in the IEEE Transactions on Broadcasting. IEEE Trans. Broadcast. 66(4): 750-751 (2020) - [j7]Hongzhi Chen, De Mi, Bruno Clerckx, Zheng Chu, Jia Shi, Pei Xiao:
Joint Power and Subcarrier Allocation Optimization for Multigroup Multicast Systems With Rate Splitting. IEEE Trans. Veh. Technol. 69(2): 2306-2310 (2020) - [c25]Hongzhi Chen, De Mi, Zilong Liu, Pei Xiao, Rahim Tafazolli:
Rate-Splitting for Overloaded Multigroup Multicast: Error Performance Evaluation. ICC Workshops 2020: 1-6 - [c24]Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang:
Measuring and Improving the Use of Graph Information in Graph Neural Networks. ICLR 2020 - [c23]De Mi, Hongzhi Chen, Zhen Gao, Lei Zhang, Pei Xiao:
Massive MIMO in Mobile Networks: Self-Calibration with Channel Estimation Error. MobiArch 2020: 30-35 - [c22]Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Yin Xu, Dazhi He:
Link-Level Performance of Rate-Splitting based Downlink Multiuser MISO Systems. PIMRC 2020: 1-5 - [c21]Hongzhi Chen, Bowen Wu, Shiyuan Deng, Chenghuan Huang, Changji Li, Yichao Li, James Cheng:
High Performance Distributed OLAP on Property Graphs with Grasper. SIGMOD Conference 2020: 2705-2708 - [i6]Hongzhi Chen, De Mi, Manuel Fuentes, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
On the Performance of PDCCH in LTE and 5G New Radio. CoRR abs/2001.02757 (2020) - [i5]Hongzhi Chen, De Mi, Manuel Fuentes, David Vargas, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
Pioneering Studies on LTE eMBMS: Towards 5G Point-to-Multipoint Transmissions. CoRR abs/2001.02758 (2020)
2010 – 2019
- 2019
- [j6]Yunfeng Ge, Huiming Tang, Xulong Gong, Binbin Zhao, Yi Lu, Yong Chen, Zishan Lin, Hongzhi Chen, Yashi Qiu:
Deformation Monitoring of Earth Fissure Hazards Using Terrestrial Laser Scanning. Sensors 19(6): 1463 (2019) - [j5]Manuel Fuentes, De Mi, Hongzhi Chen, Eduardo Garro, Jose Luis Carcel, David Vargas, Belkacem Mouhouche, David Gomez-Barquero:
Physical Layer Performance Evaluation of LTE-Advanced Pro Broadcast and ATSC 3.0 Systems. IEEE Trans. Broadcast. 65(3): 477-488 (2019) - [c20]Arunprakash Jayaprakash, Hongzhi Chen, Pei Xiao, Barry G. Evans, Yingnan Zhang, Jing Yuan Li, Adegbenga B. Awoseyila:
Analysis of Candidate Waveforms for Integrated Satellite-Terrestrial 5G Systems. 5G World Forum 2019: 636-641 - [c19]Hongzhi Chen, De Mi, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
Mobility and Coverage Evaluation of New Radio PDCCH for Point-to-Multipoint Scenario. BMSB 2019: 1-5 - [c18]Hongzhi Chen, Changji Li, Juncheng Fang, Chenghuan Huang, James Cheng, Jie Zhang, Yifan Hou, Xiao Yan:
Grasper: A High Performance Distributed System for OLAP on Property Graphs. SoCC 2019: 87-100 - [c17]Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore:
Lightweight Fault Tolerance in Pregel-Like Systems. ICPP 2019: 69:1-69:10 - [c16]Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang:
A Representation Learning Framework for Property Graphs. KDD 2019: 65-73 - [c15]Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo:
Optimizing Declarative Graph Queries at Large Scale. SIGMOD Conference 2019: 1411-1428 - [c14]Hongzhi Chen, Xiaoxi Wang, Chenghuan Huang, Juncheng Fang, Yifan Hou, Changji Li, James Cheng:
Large Scale Graph Mining with G-Miner. SIGMOD Conference 2019: 1881-1884 - [i4]Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Rahim Tafazolli:
Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems. CoRR abs/1911.13130 (2019) - 2018
- [j4]Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang:
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit. IEEE Trans. Parallel Distributed Syst. 29(1): 99-114 (2018) - [c13]Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng:
G-Miner: an efficient task-oriented graph mining system. EuroSys 2018: 32:1-32:12 - [c12]Hongzhi Chen, De Mi, Manuel Fuentes, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
On the Performance of PDCCH in LTE and 5G New Radio. GLOBECOM Workshops 2018: 1-6 - [c11]Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao:
Scalable De Novo Genome Assembly Using Pregel. ICDE 2018: 1216-1219 - [c10]Hongzhi Chen, De Mi, Manuel Fuentes, David Vargas, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
Pioneering Studies on LTE eMBMS: Towards 5G Point - to-Multipoint Transmissions. SAM 2018: 1-4 - [c9]Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng:
Norm-Ranging LSH for Maximum Inner Product Search. NeurIPS 2018: 2956-2965 - [c8]Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Rahim Tafazolli:
Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems. SPAWC 2018: 1-5 - [i3]Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao:
Scalable De Novo Genome Assembly Using Pregel. CoRR abs/1801.04453 (2018) - [i2]Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng:
Norm-Ranging LSH for Maximum Inner Product Search. CoRR abs/1809.08782 (2018) - 2017
- [c7]Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore:
Architectural implications on the performance and cost of graph analytics systems. SoCC 2017: 40-51 - [i1]Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui:
G-thinker: Big Graph Mining Made Easier and Faster. CoRR abs/1709.03110 (2017) - 2016
- [c6]Lik-Kwan Shark, Hongzhi Chen, Wei Quan, John Goodacre:
Acoustic emission and angular movement variations from early adulthood healthy knees to late adulthood osteoarthritic knees. EMBC 2016: 2382-2385 - 2014
- [j3]Jianguo Zhao, Bo Song, Ning Xi, Liang Sun, Hongzhi Chen, Yunyi Jia:
Non-vector space approach for nanoscale motion control. Autom. 50(7): 1835-1842 (2014) - [j2]Bo Song, Jianguo Zhao, Ning Xi, Hongzhi Chen, King Wai Chiu Lai, Ruiguo Yang, Liangliang Chen:
Compressive Feedback-Based Motion Control for Nanomanipulation - Theory and Applications. IEEE Trans. Robotics 30(1): 103-114 (2014) - 2012
- [c5]Jianguo Zhao, Bo Song, Ning Xi, King Wai Chiu Lai, Hongzhi Chen, Chengeng Qu:
Compressive feedback based non-vector space control. ACC 2012: 4090-4095 - [c4]Bo Song, Jianguo Zhao, Ning Xi, King Wai Chiu Lai, Ruiguo Yang, Hongzhi Chen, Chengeng Qu:
Non-vector space control for nanomanipulations based on compressive feedbacks. ICRA 2012: 2767-2772 - 2010
- [c3]King Wai Chiu Lai, Ning Xi, Carmen Kar Man Fung, Hongzhi Chen:
High-speed non-cryogenic cooled infrared sensors using carbon nanotubes. NEMS 2010: 161-164 - [c2]Hongzhi Chen, Ning Xi, King Wai Chiu Lai, Carmen Kar Man Fung, Ruiguo Yang:
Gate structure optimization of carbon nanotube transistor based infrared detector. NEMS 2010: 289-292
2000 – 2009
- 2009
- [j1]King Wai Chiu Lai, Ning Xi, Carmen Kar Man Fung, Jiangbo Zhang, Hongzhi Chen, Yilun Luo, Uchechukwu C. Wejinya:
Automated Nanomanufacturing System to Assemble Carbon Nanotube Based Devices. Int. J. Robotics Res. 28(4): 523-536 (2009) - [c1]Ruiguo Yang, Ning Xi, King Wai Chiu Lai, Bingtuan Gao, Hongzhi Chen, Chanmin Su, Jian Shi:
Motion controller for the Atomic Force Microscopy based nanomanipulation system. IROS 2009: 1339-1344
Coauthor Index
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