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G-thinker: Big Graph Mining Made Easier and Faster.
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)
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Architectural implications on the performance and cost of graph analytics...
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
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Norm-Ranging LSH for Maximum Inner Product Search.
Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng: Norm-Ranging LSH for Maximum Inner Product Search. CoRR abs/1809.08782 (2018)
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Scalable De Novo Genome Assembly Using Pregel.
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao: Scalable De Novo Genome Assembly Using Pregel. CoRR abs/1801.04453 (2018)
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Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems.
Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Rahim Tafazolli: Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems. SPAWC 2018: 1-5
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Norm-Ranging LSH for Maximum Inner Product Search.
Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng: Norm-Ranging LSH for Maximum Inner Product Search. NeurIPS 2018: 2956-2965
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Pioneering Studies on LTE eMBMS: Towards 5G Point - to-Multipoint Transmissions.
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...
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Scalable De Novo Genome Assembly Using Pregel.
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao: Scalable De Novo Genome Assembly Using Pregel. ICDE 2018: 1216-1219
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On the Performance of PDCCH in LTE and 5G New Radio.
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
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G-Miner: an efficient task-oriented graph mining system.
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
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GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit.
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...
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Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems.
Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Rahim Tafazolli: Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems. CoRR abs/1911.13130 (2019)
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Large Scale Graph Mining with G-Miner.
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
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Optimizing Declarative Graph Queries at Large Scale.
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
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A Representation Learning Framework for Property Graphs.
Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang: A Representation Learning Framework for Property Graphs. KDD 2019: 65-73
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Lightweight Fault Tolerance in Pregel-Like Systems.
Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore: Lightweight Fault Tolerance in Pregel-Like Systems. ICPP 2019: 69:1-69:10
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Grasper: A High Performance Distributed System for OLAP on Property Graphs.
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
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Mobility and Coverage Evaluation of New Radio PDCCH for Point-to-Multipoint...
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
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Analysis of Candidate Waveforms for Integrated Satellite-Terrestrial 5G Systems.
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...
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Physical Layer Performance Evaluation of LTE-Advanced Pro Broadcast and ATSC...
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...
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Deformation Monitoring of Earth Fissure Hazards Using Terrestrial Laser...
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...
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Pioneering Studies on LTE eMBMS: Towards 5G Point-to-Multipoint Transmissions.
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...
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On the Performance of PDCCH in LTE and 5G New Radio.
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)
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High Performance Distributed OLAP on Property Graphs with Grasper.
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
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Link-Level Performance of Rate-Splitting based Downlink Multiuser MISO Systems.
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
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Massive MIMO in Mobile Networks: Self-Calibration with Channel Estimation Error.
De Mi, Hongzhi Chen, Zhen Gao, Lei Zhang, Pei Xiao: Massive MIMO in Mobile Networks: Self-Calibration with Channel Estimation Error. MobiArch@MobiCom 2020: 30-35
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Measuring and Improving the Use of Graph Information in Graph Neural Networks.
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
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Rate-Splitting for Overloaded Multigroup Multicast: Error Performance...
Hongzhi Chen, De Mi, Zilong Liu, Pei Xiao, Rahim Tafazolli: Rate-Splitting for Overloaded Multigroup Multicast: Error Performance Evaluation. ICC Workshops 2020: 1-6
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Joint Power and Subcarrier Allocation Optimization for Multigroup Multicast...
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....
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2020 Scott Helt Memorial Award For the Best Paper Published in the IEEE...
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...
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5G Mixed Mode: NR Multicast-Broadcast Services.
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....
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BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.
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...
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G-Tran: Making Distributed Graph Transactions Fast.
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)
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Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System.
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):...
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Rate-Splitting for Multicarrier Multigroup Multicast: Precoder Design and...
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...
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A Representation Learning Framework for Property Graphs.
Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang: A Representation Learning Framework for Property Graphs. CoRR abs/2206.13176 (2022)
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Measuring and Improving the Use of Graph Information in Graph Neural Networks.
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)
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Lightning Fast and Space Efficient k-clique Counting.
Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang: Lightning Fast and Space Efficient k-clique Counting. WWW 2022: 1191-1202
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Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach.
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
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Colorful h-star Core Decomposition.
Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang: Colorful h-star Core Decomposition. ICDE 2022: 2588-2601
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ByteGraph: A High-Performance Distributed Graph Database in ByteDance.
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...
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G-Tran: A High Performance Distributed Graph Database with a Decentralized...
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...
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ByteGNN: Efficient Graph Neural Network Training at Large Scale.
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....
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Tutorials at The Web Conference 2023.
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...
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Active Sensing for Beam Management: A Deep-Learning Approach.
Hongzhi Chen, Lifu Liu, Songyan Xue, Yan Sun, Jiyong Pang: Active Sensing for Beam Management: A Deep-Learning Approach. WCNC 2023: 1-6
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BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.
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...
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A Rate-Splitting Empowered NOMA Network: Power Allocation and User Pairing.
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)
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Electrical Interference Simulation and Prediction Model for Acoustoelectric...
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)
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Circinus: Fast Redundancy-Reduced Subgraph Matching.
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)
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Joint framework for tensor decomposition-based temporal knowledge graph...
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)
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