Welcome to Dr. Bingsheng He's Homepage

News Archival

• Zeyi Wen^, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu*, Jiashuai Shi*. Efficient Gradient Boosted Decision Tree Training on GPUs. IEEE IPDPS 2018: IEEE International Parallel & Distributed Processing Symposium.
• Zeyi Wen^, Xingyang Liu*, Hongjian Cao*, Bingsheng He. RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. ICDE 2018: IEEE International Conference on Data Engineering (ICDE), 2018 (industrial and application track).
• Zeke Wang^, Kai Zhang^, Haihang Zhou*, Bingsheng He. Hebe: An Order-obliviousness and High-performance Execution Scheme for Conjunctive Predicates. ICDE 2018: IEEE International Conference on Data Engineering (ICDE), 2018 (short paper).
• Kai Zhang^, Bingsheng He, Jiayu Hu, Zeke Wang^, Bei Hua, Jiayi Meng, and Lishan Yang. G-NET: Effective GPU Sharing in NFV Systems. USENIX NSDI: USENIX Symposium on Networked Systems Design and Implementation 2018.
• Amelie Chi Zhou*, Yifan Gong*, Bingsheng He and Jidong Zhai. Efficient Process Mapping in Geo-Distributed Cloud Data Centers. SC17: International Conference for High Performance Computing, Networking, Storage and Analysis 2017.
• Xuntao Cheng*, Bingsheng He, Xiaoli Du* and Chiew Tong Lau. A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture. CIKM: ACM International Conference on Information and Knowledge Management 2017, Singapore (171/820=21%).
• I will give an invited talk �Data Management Systems on Future Hardware: Challenges and Opportunities.� in Joint Active and HardDB Workshops in ICDE 2017.
• Amelie Chi Zhou*, Shadi Ibrahim, Bingsheng He On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters. ICDCS 2017: International Conference on Distributed Computing Systems (Experience and Application Track).
• Kai Zhang^, Jiayu Hu, Bingsheng He, Bei Hua. DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures. ICDE 2017: IEEE International Conference on Data Engineering (ICDE), 2017.
• Shuhao Zhang*, Bingsheng He, Daniel Dahlmeier, Chi Zhou and Thomas Heinze. Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors . ICDE 2017: IEEE International Conference on Data Engineering (ICDE), 2017.
• Shuhao Zhang*, Hoang Tam Vo, Daniel Dahlmeier and Bingsheng He. Multi-Query Optimization for Complex Event Processing in SAP ESP. ICDE 2017: IEEE International Conference on Data Engineering (ICDE), 2017 (industrial track).
• New Start: Bingsheng joined NUS School of Computing in May 2016.
• TBD SI: With Prof. Yunji Chen and Dr. Jingren ZHou, we have set up new special issue in IEEE Trans. on Big Data: "Big Data Systems on Emerging Architectures". Deadline: Oct 15. [Call-for-paper]
• CoRunBench: A Benchmark for Co-running Single Applications on Integrated Architectures. This is a joint effort with Tsinghua Univ. [Details and code]
• Jan 2021: I am extremely honored...
  • I am appointed as NUS Dean's Chair Associate Professor, Jan 2021-Dec 2023.
  • New: ACM Distinguished Member Award 2020.
• Dec 2020: Great thanks to Xilinx donating Xilinx Adaptive Compute Clusters (XACC) program 2020 (one of the four awarded projects worldwide from Xilinx).
• Nov 2020:
  • Xinyu Chen*, Hongshi Tan*, Yao Chen, Bingsheng He, Weng-Fai Wong and Deming Chen. ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA 2021: ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2021).
  • Shengliang Lu*, Bingsheng He, Yuchen Li, Hao Fu*. Accelerating Exact Constrained Shortest Paths on GPUs. International Conference on Very Large Data Bases (VLDB) 2021.
  • New! 2019 Best Paper Award from IEEE Transactions on Parallel and Distributed Systems by the IEEE Computer Society Publications Board (1 out of 987 submissions, for the work "Zeyi Wen^, Jiashuai Shi*, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, and Qinbin Li*, Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training , IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 12, 2019, pp. 2706-2717.")
• Oct 2020:
  • Shixuan Sun^, Xibo Sun, Yulin Che, Qiong Luo, Bingsheng He. RapidMatch: A Holistic Approach to Subgraph Query Processing. International Conference on Very Large Data Bases (VLDB) 2021.
  • Johns Paul*, Bingsheng He, Shengliang Lu*, Chiew Tong Lau. Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs. International Conference on Very Large Data Bases (VLDB) 2021.
  • Johns Paul*, Jie Liang Ang*, Tianyuan Fu*, Bingsheng He, Shengliang Lu*, Sien Yi Tan and Feng Cheng. Poet: an Interactive Spatial Query Processing System in Grab. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Industrial Paper).
• July 2020: we have made the following open-sourced systems:
  • ThunderGP: Fast Graph Processing for HLS-based FPGAs. ThunderGP is featured at Xilinx Apps and Libraries.
  • G3: a programming framework for Graph Neural Network (GNN) applications on GPUs.
• July 2020: I was appointed as Vice Dean (Research), NUS School of Computing.
• July 2020: Invited plenary speech at NPC 2020 (17th IFIP International Conference on Network and Parallel Computing), Sept.28-30, 2020 (expected).
• June 2020: Invited keynote speech at ISPA 2020 (18th IEEE International Symposium on Parallel and Distributed Processing with Applications), Oct 15-27 2020 (expected).
• June 2020: Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan. Accelerated Subgraph Enumeration on Partitioned Graphs. SIGMOD 2020: ACM SIGMOD International Conference on Management of data, 2020.
• June 2020: Internships are filled (May 2020-Oct 2020): we have four internships available for NUS students to fulfill their internship requirement (under special arrangement of COVID-19). see "Software Developer Interns for Graph Neural Network Project".
• April 2020: our system paper for ThunderGBM has been accepted in JMLR Machine Learning Open Source Software. Cheers! Details: Zeyi Wen, Jiashuai Shi, Hanfeng Liu, Bingsheng He, Qinbin Li, Jian Chen. ThunderGBM: Fast GBDTs and Random Forests on GPUs. JMLR: Journal of Machine Learning Research (2020).
• April 2020:
  • Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du. PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. IJCAI-PRICAI 2020 (610/4806=12.7%).
  • Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du. FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures. USENIX ATC: USENIX Annual Technical Conference 2020 (65/348=18.7%).
• Feb 2020: three papers are accepted in ICDE 2020.
  • Li Wang, Zining Zhang*, Zhenjie Zhang, Bingsheng He. PA-Tree: Polled-Mode Asynchronous B+-Tree for NVMe. ICDE 2020: IEEE International Conference on Data Engineering 2020.
  • Shuhao Zhang*, Yingjun Wu, Feng Zhang, Bingsheng He. Towards Concurrent Stateful Stream Processing on Multicore Processors. ICDE 2020: IEEE International Conference on Data Engineering 2020.
  • Hong Huang, Xuanhua Shi, Yipeng Zhang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou. Maxson: Reduce duplicate Parsing Overhead on Raw Data. ICDE 2020: IEEE International Conference on Data Engineering 2020 (Industry and Application track, acceptance rate: 26%).
• Jan 2020: Xtra's member Mr. Qinbin Li and Mr. Xinyu Chen got Research Achievement Award of SoC, 2020.
• Nov 2019: one paper is accepted in CIDR 2020. Details: Xinyu Chen*, Ronak Bajaj^, Yao Chen, Jiong He, Bingsheng He, Weng-Fai Wong and Deming Chen. Is FPGA useful for hash joins. CIDR 2020: Conference on Innovative Data Systems Research.
• Nov 2019: two papers are accepted in AAAI 2020.
  • Qinbin Li*, Zeyi Wen^, Bingsheng He. Practical Federated Gradient Boosting Decision Trees. AAAI: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) (1,591/7,737=20.6%).
  • Qinbin Li*, Zhaomin Wu*, Zeyi Wen^, Bingsheng He. Privacy-Preserving Gradient Boosting Decision Trees. AAAI: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) (1,591/7,737=20.6%).
• Oct 2019: two papers are accepted in IEEE TPDS.
  • Qiumin Lu, Zheng Xiao, Jiacheng Ma, Yaozu Dong, Zhengwei Qi, Jianguo Yao, Bingsheng He, Haibing Guan. gMig: Efficient vGPU Live Migration with Overlapped Software-based Dirty Page Verification. TPDS: IEEE Transactions on Parallel and Distributed Systems 2019
  • Amelie Chi Zhou, Bingkun Shen, Yao Xiao, Shadi Ibrahim, Bingsheng He. Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters. TPDS: IEEE Transactions on Parallel and Distributed Systems 2019.
• Oct 2019: Qinbin's undergraduate project has been published in IEEE TNNLS. Details: Qinbin Li*, Zeyi Wen^, Bingsheng He. Adaptive Kernel Value Caching for SVM Training. IEEE TNNLS: IEEE Transactions on Neural Networks and Learning Systems.
• Sept 2019: Xtra's member Mr. Shuhao Zhang has successfully done his Ph.D. defense. Congratulations, Dr. Zhang.

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