| 2026 | AAAI | Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. | Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He |
| 2026 | AAAI | NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification. | Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He |
| 2026 | AAAI | DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. | Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen |
| 2026 | ACL | XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration. | Nuo Chen, Andre Huikai Lin, Jiaying Wu, Junyi Hou, Zining Zhang, Qian Wang, Xidong Wang, Bingsheng He |
| 2026 | ACL | Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation. | Nuo Chen, Yicheng Tong, Yuzhe Yang, Yufei He, Xueyi Zhang, Qingyun Zou, Qian Wang, Bingsheng He |
| 2026 | ASPLOS | Bat: Efficient Generative Recommender Serving with Bipartite Attention. | Jie Sun, Shaohang Wang, Zimo Zhang, Zhengyu Liu, Yunlong Xu, Peng Sun, Bo Zhao, Bingsheng He, Fei Wu, Zeke Wang |
| 2026 | ASPLOS | Towards High-Goodput LLM Serving with Prefill-decode Multiplexing. | Yukang Chen, Weihao Cui, Han Zhao, Ziyi Xu, Xiaoze Fan, Xusheng Chen, Yangjie Zhou, Shixuan Sun, Bingsheng He, Quan Chen |
| 2026 | EuroSys | Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design. | Chunyu Xue, Weihao Cui, Quan Chen, Chen Chen, Han Zhao, Shulai Zhang, Linmei Wang, Yan Li, Limin Xiao, Weifeng Zhang, Jing Yang, Bingsheng He, Minyi Guo |
| 2026 | HPCA | RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. | Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He |
| 2026 | ICDE | TRADER: Real-time Arbitrage Detection via Negative Cycles on Dynamic Graphs. | Bingqiao Luo, Yuhang Chen, Jiaxin Jiang, Yuheng Cong, Ziyu He, Shixuan Sun, Bingsheng He, Wee Howe Ang |
| 2026 | ICDE | Incremental GNN Embedding Computation on Streaming Graphs. | Qiange Wang, Haoran Lv, Yanfeng Zhang, Weng-Fai Wong, Bingsheng He |
| 2026 | ICDE | WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning Over Database Silos. | Zhaomin Wu, Ziyang Wang, Bingsheng He |
| 2026 | ISCA | Approaching Shannon Bound with Lossless LLM Weight Compression. | Hongshi Tan, Yao Chen, Gustavo Alonso, Weng-Fai Wong, Bingsheng He |
| 2026 | ISCA | XtraMAC: An Efficient MAC Architecture for Mixed-Precision LLM Inference on FPGA. | Feng Yu, Hongshi Tan, Yao Chen, Weng-Fai Wong, Bingsheng He |
| 2026 | ISCA | ParetoES: Hardware-Accelerated Sparse Embedding Similarity via Pareto-Optimal Pruning. | Jiaqi Zhai, Xuanhua Shi, Wenju Zhao, Kaiyi Huang, Chencheng Ye, Shunsen Lv, Zhongtian Long, Bingsheng He, Hai Jin |
| 2026 | NSDI | FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale. | Weihao Cui, Ji Zhang, Han Zhao, Chao Liu, Jian Sha, Bo Sang, Bingsheng He, Minyi Guo, Quan Chen |
| 2026 | NSDI | MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing. | Chunyu Xue, Yi Pan, Weihao Cui, Quan Chen, Shulai Zhang, Bingsheng He, Minyi Guo |
| 2026 | WWW | 'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model Licensing. | Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He |
| 2026 | WWW | PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing. | Junyi Hou, Andre Huikai Lin, Nuo Chen, Yiwei Gong, Bingsheng He |
| 2026 | WWW | StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning. | Changwu Li, Tongjun Shi, Shuhao Zhang, Binbin Chen, Bingsheng He, Xiaofei Liao, Hai Jin |
| 2026 | SIGIR | Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion. | Yuan Li, Jun Hu, Jiaxin Jiang, Bryan Hooi, Bingsheng He |
| 2026 | SIGMOD | FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform. | Xin Tong, Xuanhe Zhou, Bingsheng He, Guoliang Li, Zirui Tang, Wei Zhou, Long Deng, Mian Lu, Yuqiang Chen, Fan Wu |
| 2025 | AAAI | Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. | Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei |
| 2025 | ACL | MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. | Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He |
| 2025 | ACL | Federated Data-Efficient Instruction Tuning for Large Language Models. | Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng |
| 2025 | ASPLOS | TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU. | Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin |
| 2025 | DAC | Configurable DSP-Based CAM Architecture for Data-Intensive Applications on FPGAs. | Yao Chen, Feng Yu, Di Wu, Weng-Fai Wong, Bingsheng He |
| 2025 | EMNLP | Model-based Large Language Model Customization as Service. | Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang |
| 2025 | EuroSys | OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. | Hao Qi, Kang Luo, Ligang He, Yu Zhang, Minzhi Cai, Jingxin Dai, Bingsheng He, Hai Jin, Zhan Zhang, Jin Zhao, Hengshan Yue, Hui Yu, Xiaofei Liao |
| 2025 | HPCA | AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning. | Jiaqi Zhai, Xuanhua Shi, Kaiyi Huang, Chencheng Ye, Weifang Hu, Bingsheng He, Hai Jin |
| 2025 | ICDE | Vista: Vector Indexing and Search for Large-Scale Imbalanced Datasets. | Yujian Fu, Cheng Chen, Yao Chen, Weng-Fai Wong, Bingsheng He |
| 2025 | ICDE | An Efficient Memoization Engine for Concurrent Graph Query Processing. | Sen Gao, Shengliang Lu, Shixuan Sun, Yuchen Li, Bingsheng He |
| 2025 | ICDE | Accelerating D-Core Maintenance over Dynamic Directed Graphs. | Xuankun Liao, Qing Liu, Jiaxin Jiang, Byron Choi, Bingsheng He, Jianliang Xu |
| 2025 | ICLR | Multi-Label Node Classification with Label Influence Propagation. | Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He |
| 2025 | ICML | Adapting Precomputed Features for Efficient Graph Condensation. | Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He |
| 2025 | ICML | Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance. | Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He |
| 2025 | IJCNLP | Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models. | Wenqi Pei, Hailing Xu, Henry Hengyuan Zhao, Shizheng Hou, Chen Han, Zining Zhang, Pingyi Luo, Bingsheng He |
| 2025 | KDD | NodeImport: Imbalanced Node Classification with Node Importance Assessment. | Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen |
| 2025 | KDD | ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU. | Borui Xu, Zeyi Wen, Yao Chen, Weiguo Liu, Weng-Fai Wong, Bingsheng He |
| 2025 | KDD | Blurred Encoding for Trajectory Representation Learning. | Silin Zhou, Yao Chen, Shuo Shang, Lisi Chen, Bingsheng He, Ryosuke Shibasaki |
| 2025 | MICRO | HiPACK: Efficient Sub-8-Bit Direct Convolution with SIMD and Bitwise Management. | Yao Chen, Cheng Gong, Bingsheng He |
| 2025 | NAACL | Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. | Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He |
| 2025 | PPoPP | Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. | Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou |
| 2025 | WWW | Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. | Zhen Zhang, Bingsheng He |
| 2025 | SIGMOD | OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. | Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen |
| 2024 | AAAI | Exploiting Label Skews in Federated Learning with Model Concatenation. | Yiqun Diao, Qinbin Li, Bingsheng He |
| 2024 | ASPLOS | FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing. | Yushi Liu, Shixuan Sun, Zijun Li, Quan Chen, Sen Gao, Bingsheng He, Chao Li, Minyi Guo |
| 2024 | EDBT | TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures. | Yunhong Ji, Wentao Huang, Xuan Zhou, Bingsheng He, Kian-Lee Tan |
| 2024 | EMNLP | CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. | Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He |
| 2024 | ICLR | Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. | Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen |
| 2024 | ICLR | Effective and Efficient Federated Tree Learning on Hybrid Data. | Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song |
| 2024 | ICLR | EX-Graph: A Pioneering Dataset Bridging Ethereum and X. | Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He |
| 2024 | ICLR | VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. | Zhaomin Wu, Junyi Hou, Bingsheng He |
| 2024 | ICLR | Partitioning Message Passing for Graph Fraud Detection. | Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen |
| 2024 | IJCAI | Practical Hybrid Gradient Compression for Federated Learning Systems. | Sixu Hu, Linshan Jiang, Bingsheng He |
| 2024 | MICRO | RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. | Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin |
| 2024 | WWW | ModelGo: A Practical Tool for Machine Learning License Analysis. | Moming Duan, Qinbin Li, Bingsheng He |
| 2024 | WWW | Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. | Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He |
| 2024 | VLDB | Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing. | Wentao Huang, Mo Sha, Mian Lu, Yuqiang Chen, Bingsheng He, Kian-Lee Tan |
| 2023 | ICDE | OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. | Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff |
| 2023 | ICDE | A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract). | Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li |
| 2023 | ICDE | A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). | Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia |
| 2023 | ICDE | EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices. | Chenyang Zhang, Feng Zhang, Kuangyu Chen, Mingjun Chen, Bingsheng He, Xiaoyong Du |
| 2023 | ICDM | Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs. | Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He |
| 2023 | ICLR | Towards Addressing Label Skews in One-Shot Federated Learning. | Yiqun Diao, Qinbin Li, Bingsheng He |
| 2023 | ICML | Adversarial Collaborative Learning on Non-IID Features. | Qinbin Li, Bingsheng He, Dawn Song |
| 2023 | ICPP | Communication-Efficient Generalized Neuron Matching for Federated Learning. | Sixu Hu, Qinbin Li, Bingsheng He |
| 2023 | KDD | Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning. | Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang |
| 2023 | WWW | BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. | Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu |
| 2022 | CIDR | Micro-architectural Analysis of OLAP Systems on Persistent Memory. | Jie Liang Ang, Jefferson Chu, Hieu Le Trung, Jiajun Liu, Jiong He, Qian Lin, Bingsheng He |
| 2022 | CIKM | A System for Time Series Feature Extraction in Federated Learning. | Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He |
| 2022 | ICDE | Federated Learning on Non-IID Data Silos: An Experimental Study. | Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He |
| 2022 | ICDE | Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. | Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao |
| 2022 | ICPP | HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. | Zining Zhang, Bingsheng He, Zhenjie Zhang |
| 2022 | ISCA | TDGraph: a topology-driven accelerator for high-performance streaming graph processing. | Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu |
| 2022 | KDD | Dynamic Graph Segmentation for Deep Graph Neural Networks. | Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He |
| 2022 | MICRO | ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. | Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong |
| 2021 | CIKM | From Community Search to Community Understanding: A Multimodal Community Query Engine. | Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang |
| 2021 | CVPR | Model-Contrastive Federated Learning. | Qinbin Li, Bingsheng He, Dawn Song |
| 2021 | DAC | Skew-Oblivious Data Routing for Data Intensive Applications on FPGAs with HLS. | Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen |
| 2021 | DASFAA | DBL: Efficient Reachability Queries on Dynamic Graphs. | Qiuyi Lyu, Yuchen Li, Bingsheng He, Bin Gong |
| 2021 | FPGA | ThunderGP: HLS-based Graph Processing Framework on FPGAs. | Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen |
| 2021 | HPCA | DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. | Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu |
| 2021 | ICASSP | TransMask: A Compact and Fast Speech Separation Model Based on Transformer. | Zining Zhang, Bingsheng He, Zhenjie Zhang |
| 2021 | ICDCS | Gengar: An RDMA-based Distributed Hybrid Memory Pool. | Zhuohui Duan, Haikun Liu, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He |
| 2021 | IJCAI | Practical One-Shot Federated Learning for Cross-Silo Setting. | Qinbin Li, Bingsheng He, Dawn Song |
| 2021 | IJCAI | Challenges and Opportunities of Building Fast GBDT Systems. | Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui |
| 2021 | ICS | ThundeRiNG: generating multiple independent random number sequences on FPGAs. | Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong |
| 2021 | KDD | Enhancing SVMs with Problem Context Aware Pipeline. | Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen |
| 2021 | SC | LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. | Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu |
| 2021 | SIGMOD | Parallelizing Intra-Window Join on Multicores: An Experimental Study. | Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl |
| 2021 | SIGMOD | Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. | Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He |
| 2021 | SIGMOD | Cache-Efficient Fork-Processing Patterns on Large Graphs. | Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He |
| 2021 | SIGMOD | MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures. | Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau |
| 2021 | SIGMOD | PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. | Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi |
| 2021 | SIGMOD | GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. | Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun |
| 2020 | AAAI | Practical Federated Gradient Boosting Decision Trees. | Qinbin Li, Zeyi Wen, Bingsheng He |
| 2020 | AAAI | Privacy-Preserving Gradient Boosting Decision Trees. | Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He |
| 2020 | CIDR | Is FPGA Useful for Hash Joins? | Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen |
| 2020 | CLOUD | ByteSeries: an in-memory time series database for large-scale monitoring systems. | Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li |
| 2020 | GPC | GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning. | Bo Liu, Wenbin Jiang, Shaofeng Zhao, Hai Jin, Bingsheng He |
| 2020 | ICDCS | Energy Efficient In-memory Integer Multiplication Based on Racetrack Memory. | Tao Luo, Wei Zhang, Bingsheng He, Cheng Liu, Douglas L. Maskell |
| 2020 | ICDE | Maxson: Reduce Duplicate Parsing Overhead on Raw Data. | Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou |
| 2020 | ICDE | PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe. | Li Wang, Zining Zhang, Bingsheng He, Zhenjie Zhang |
| 2020 | ICDE | Towards Concurrent Stateful Stream Processing on Multicore Processors. | Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He |
| 2020 | ICPP | CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. | Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang |
| 2020 | IJCAI | PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. | Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du |
| 2020 | Interspeech | GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus. | Zining Zhang, Bingsheng He, Zhenjie Zhang |
| 2020 | Interspeech | X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network. | Zining Zhang, Bingsheng He, Zhenjie Zhang |
| 2020 | SIGMOD | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. | Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan |
| 2020 | USENIX | FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures. | Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du |
| 2019 | ASPLOS | DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. | Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu |
| 2019 | CIKM | Deploying Hash Tables on Die-Stacked High Bandwidth Memory. | Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen |
| 2019 | FPL | On-The-Fly Parallel Data Shuffling for Graph Processing on OpenCL-Based FPGAs. | Xinyu Chen, Ronak Bajaj, Yao Chen, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen |
| 2019 | ICDE | Revisiting Hash Join on Graphics Processors: A Decade Later. | Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau |
| 2019 | ICDE | Aucher: Multi-modal Queries on Live Audio Streams in Real-Time. | Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, Bo Li |
| 2019 | ICDE | Efficient Multi-Class Probabilistic SVMs on GPUs. | Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen |
| 2019 | ICPP | Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. | Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng |
| 2019 | SC | GraphM: an efficient storage system for high throughput of concurrent graph processing. | Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen |
| 2019 | SIGMOD | BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. | Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He |
| 2018 | AAAI | Efficient Support Vector Machine Training Algorithm on GPUs. | Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen |
| 2018 | ICCAD | FCN-engine: accelerating deconvolutional layers in classic CNN processors. | Dawen Xu, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, Huawei Li |
| 2018 | ICDE | Hebe: An Order-Oblivious and High-Performance Execution Scheme for Conjunctive Predicates. | Zeke Wang, Kai Zhang, Haihang Zhou, Xue Liu, Bingsheng He |
| 2018 | ICDE | RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. | Zeyi Wen, Xingyang Liu, Hongjian Cao, Bingsheng He |
| 2018 | ICPADS | Query Processing on OpenCL-Based FPGAs: Challenges and Opportunities. | Johns Paul, Bingsheng He, Chiew Tong Lau |
| 2018 | ICPP | GLP4NN: A Convergence-invariant and Network-agnostic Light-weight Parallelization Framework for Deep Neural Networks on Modern GPUs. | Hao Fu, Shanjiang Tang, Bingsheng He, Ce Yu, Jizhou Sun |
| 2018 | ICPP | Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters. | Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He |
| 2018 | NSDI | G-NET: Effective GPU Sharing in NFV Systems. | Kai Zhang, Bingsheng He, Jiayu Hu, Zeke Wang, Bei Hua, Jiayi Meng, Lishan Yang |
| 2018 | PPoPP | vSensor: leveraging fixed-workload snippets of programs for performance variance detection. | Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen |
| 2018 | USENIX | CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. | Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu |
| 2018 | VEE | gMig: Efficient GPU Live Migration Optimized by Software Dirty Page for Full Virtualization. | Jiacheng Ma, Xiao Zheng, Yaozu Dong, Wentai Li, Zhengwei Qi, Bingsheng He, Haibing Guan |
| 2017 | CGO | FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures. | Feng Zhang, Bo Wu, Jidong Zhai, Bingsheng He, Wenguang Chen |
| 2017 | CIKM | A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture. | Xuntao Cheng, Bingsheng He, Xiaoli Du, Chiew Tong Lau |
| 2017 | FCCM | Dynamic Module Partitioning for Library Based Placement on Heterogeneous FPGAs. | Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam |
| 2017 | FPGA | Dynamic Partitioning for Library based Placement on Heterogeneous FPGAs (Abstract Only). | Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam |
| 2017 | ICCAD | A novel two-stage modular multiplier based on racetrack memory for asymmetric cryptography. | Tao Luo, Bingsheng He, Wei Zhang, Douglas L. Maskell |
| 2017 | ICCAD | COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications. | Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He |
| 2017 | ICDCS | On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters. | Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He |
| 2017 | ICDE | Data Management Systems on Future Hardware: Challenges and Opportunities. | Bingsheng He |
| 2017 | ICDE | AdaStorm: Resource Efficient Storm with Adaptive Configuration. | Zujian Weng, Qi Guo, Chunkai Wang, Xiaofeng Meng, Bingsheng He |
| 2017 | ICDE | Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. | Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze |
| 2017 | ICDE | DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures. | Kai Zhang, Jiayu Hu, Bingsheng He, Bei Hua |
| 2017 | ICDE | Multi-Query Optimization for Complex Event Processing in SAP ESP. | Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He |
| 2017 | ICPADS | Multi-objective Optimizations in Geo-Distributed Data Analytics Systems. | Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Chiew Tong Lau |
| 2017 | ICS | Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. | Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo |
| 2017 | SC | Efficient process mapping in geo-distributed cloud data centers. | Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai |
| 2017 | RTCSA | Dynamic module partitioning for library based placement on heterogeneous FPGAs. | Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam |
| 2016 | ASPDAC | A racetrack memory based in-memory booth multiplier for cryptography application. | Tao Luo, Wei Zhang, Bingsheng He, Douglas L. Maskell |
| 2016 | DATE | A discrete thermal controller for chip-multiprocessors. | Yingnan Cui, Wei Zhang, Bingsheng He |
| 2016 | FPGA | Accelerating Database Query Processing on OpenCL-based FPGAs (Abstract Only). | Zeke Wang, Hui Yan Cheah, Johns Paul, Bingsheng He, Wei Zhang |
| 2016 | FPL | Relational query processing on OpenCL-based FPGAs. | Zeke Wang, Johns Paul, Hui Yan Cheah, Bingsheng He, Wei Zhang |
| 2016 | HPCA | A performance analysis framework for optimizing OpenCL applications on FPGAs. | Zeke Wang, Bingsheng He, Wei Zhang, Shunning Jiang |
| 2016 | IC2E | A Study of Big Data Computing Platforms: Fairness and Energy Consumption. | Zhaojie Niu, Bingsheng He |
| 2016 | IC2E | Not All Joules are Equal: Towards Energy-Efficient and Green-Aware Data Processing Frameworks. | Zhaojie Niu, Bingsheng He, Fangming Liu |
| 2016 | ICDE | VColor: A practical vertex-cut based approach for coloring large graphs. | Yun Peng, Byron Choi, Bingsheng He, Shuigeng Zhou, Ruzhi Xu, Xiaohui Yu |
| 2016 | SC | Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures. | Shanjiang Tang, Bingsheng He, Shuhao Zhang, Zhaojie Niu |
| 2016 | SIGMOD | Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. | Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh |
| 2016 | SIGMOD | A Study of Sorting Algorithms on Approximate Memory. | Shuang Chen, Shunning Jiang, Bingsheng He, Xueyan Tang |
| 2016 | SIGMOD | GPL: A GPU-based Pipelined Query Processing Engine. | Johns Paul, Jiong He, Bingsheng He |
| 2016 | USENIX | gScale: Scaling up GPU Virtualization with Dynamic Sharing of Graphics Memory Space. | Mochi Xue, Kun Tian, Yaozu Dong, Jiacheng Ma, Jiajun Wang, Zhengwei Qi, Bingsheng He, Haibing Guan |
| 2015 | CGO | On performance debugging of unnecessary lock contentions on multicore processors: a replay-based approach. | Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin |
| 2015 | CloudCom | Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing. | Zhaojie Niu, Shanjiang Tang, Bingsheng He |
| 2015 | DaMoN | Energy-Efficient Query Processing on Embedded CPU-GPU Architectures. | Xuntao Cheng, Bingsheng He, Chiew Tong Lau |
| 2015 | DASFAA | Fast Subgraph Matching on Large Graphs using Graphics Processors. | Ha Nguyen Tran, Jung-Jae Kim, Bingsheng He |
| 2015 | FAST | NV-Tree: Reducing Consistency Cost for NVM-based Single Level Systems. | Jun Yang, Qingsong Wei, Cheng Chen, Chundong Wang, Khai Leong Yong, Bingsheng He |
| 2015 | FCCM | Improving Data Partitioning Performance on OpenCL-Based FPGAs. | Zeke Wang, Bingsheng He, Wei Zhang |
| 2015 | FPL | A study of data partitioning on OpenCL-based FPGAs. | Zeke Wang, Bingsheng He, Wei Zhang |
| 2015 | HPDC | A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds. | Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau |
| 2015 | ICS | Real-Time In-Memory Checkpointing for Future Hybrid Memory Systems. | Shen Gao, Bingsheng He, Jianliang Xu |
| 2015 | MASCOTS | To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures. | Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He, Shuhao Zhang |
| 2015 | PPoPP | Optimization of asynchronous graph processing on GPU with hybrid coloring model. | Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong |
| 2015 | SC | Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution. | Yifan Gong, Bingsheng He, Amelie Chi Zhou |
| 2014 | CloudCom | Towards Economic Fairness for Big Data Processing in Pay-as-You-Go Cloud Computing. | Shanjiang Tang, Bu-Sung Lee, Bingsheng He |
| 2014 | CloudCom | Simplified Resource Provisioning for Workflows in IaaS Clouds. | Amelie Chi Zhou, Bingsheng He |
| 2014 | ICS | Long-term resource fairness: towards economic fairness on pay-as-you-use computing systems. | Shanjiang Tang, Bu-Sung Lee, Bingsheng He, Haikun Liu |
| 2014 | SC | Finding Constant from Change: Revisiting Network Performance Aware Optimizations on IaaS Clouds. | Yifan Gong, Bingsheng He, Dan Li |
| 2014 | SC | Reciprocal Resource Fairness: Towards Cooperative Multiple-Resource Fair Sharing in IaaS Clouds. | Haikun Liu, Bingsheng He |
| 2014 | SECON | Demo Abstract: Wind measurements for water quality studies in urban reservoirs. | Wan Du, Mo Li, Zikun Xing, Bingsheng He, Lloyd Hock Chye Chua, Zhenjiang Li, Yuanqiang Zheng, Pengfei Zhou |
| 2013 | CIDR | Green Databases Through Integration of Renewable Energy. | Cheng Chen, Bingsheng He, Xueyan Tang, Changbing Chen, Yubao Liu |
| 2013 | CloudCom | Towards GPU-Accelerated Large-Scale Graph Processing in the Cloud. | Jianlong Zhong, Bingsheng He |
| 2013 | CLUSTER | Dynamic slot allocation technique for MapReduce clusters. | Shanjiang Tang, Bu-Sung Lee, Bingsheng He |
| 2013 | EuroPar | MROrder: Flexible Job Ordering Optimization for Online MapReduce Workloads. | Shanjiang Tang, Bu-Sung Lee, Bingsheng He |
| 2013 | PAKDD | Spectral Decomposition for Optimal Graph Index Prediction. | Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He |
| 2013 | PODC | Brief announcement: on minimum interaction time for continuous distributed interactive computing. | Lu Zhang, Xueyan Tang, Bingsheng He |
| 2013 | WSC | Simulation studies of viral advertisement diffusion on multi-GPU. | Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He |
| 2012 | CCGRID | Maestro: Replica-Aware Map Scheduling for MapReduce. | Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu |
| 2012 | CCGRID | A Map-Reduce Based Framework for Heterogeneous Processing Element Cluster Environments. | Yu Shyang Tan, Bu-Sung Lee, Bingsheng He, Roy H. Campbell |
| 2012 | CLOUD | Improving large graph processing on partitioned graphs in the cloud. | Rishan Chen, Mao Yang, Xuetian Weng, Byron Choi, Bingsheng He, Xiaoming Li |
| 2012 | CloudCom | Green-aware workload scheduling in geographically distributed data centers. | Changbing Chen, Bingsheng He, Xueyan Tang |
| 2012 | ICPADS | GPGPU for Real-Time Data Analytics. | Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh |
| 2012 | PPoPP | An overview of CMPI: network performance aware MPI in the cloud. | Yifan Gong, Bingsheng He, Jianlong Zhong |
| 2012 | PPoPP | An overview of Medusa: simplified graph processing on GPUs. | Jianlong Zhong, Bingsheng He |
| 2012 | SC | RAMZzz: rank-aware dram power management with dynamic migrations and demotions. | Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo |
| 2011 | CIKM | PCMLogging: reducing transaction logging overhead with PCM. | Shen Gao, Jianliang Xu, Bingsheng He, Byron Choi, Haibo Hu |
| 2011 | ICPP | Adaptive Disk I/O Scheduling for MapReduce in Virtualized Environment. | Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Song Wu |
| 2011 | SIGMOD | Operation-aware buffer management in flash-based systems. | Yanfei Lv, Bin Cui, Bingsheng He, Xuexuan Chen |
| 2010 | CIKM | FD-buffer: a buffer manager for databases on flash disks. | Sai Tung On, Yinan Li, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu |
| 2010 | CLOUD | Comet: batched stream processing for data intensive distributed computing. | Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou |
| 2010 | CloudCom | LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud. | Shadi Ibrahim, Hai Jin, Lu Lu, Song Wu, Bingsheng He, Li Qi |
| 2010 | DaMoN | Supporting extended precision on graphics processors. | Mian Lu, Bingsheng He, Qiong Luo |
| 2010 | SIGMOD | Large graph processing in the cloud. | Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang |
| 2009 | DaMoN | Frequent itemset mining on graphics processors. | Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo |
| 2009 | DASFAA | A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs. | Linhong Zhu, Byron Choi, Bingsheng He, Jeffrey Xu Yu, Wee Keong Ng |
| 2009 | HotOS | Wave Computing in the Cloud. | Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou |
| 2009 | ICDE | Tree Indexing on Flash Disks. | Yinan Li, Bingsheng He, Qiong Luo, Ke Yi |
| 2009 | PPoPP | Stack-based parallel recursion on graphics processors. | Ke Yang, Bingsheng He, Qiong Luo, Pedro V. Sander, Jiaoying Shi |
| 2008 | SIGMOD | Relational joins on graphics processors. | Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander |
| 2007 | CIDR | Cache-Oblivious Query Processing. | Bingsheng He, Qiong Luo |
| 2007 | DaMoN | A general framework for improving query processing performance on multi-level memory hierarchies. | Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang |
| 2007 | DaMoN | In-memory grid files on graphics processors. | Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander, Jiaoying Shi |
| 2007 | SC | Efficient gather and scatter operations on graphics processors. | Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith |
| 2007 | SIGMOD | GPUQP: query co-processing using graphics processors. | Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander |
| 2007 | SIGMOD | EaseDB: a cache-oblivious in-memory query processor. | Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang |
| 2006 | CIKM | Cache-oblivious nested-loop joins. | Bingsheng He, Qiong Luo |
| 2006 | ER | A Quantitative Summary of XML Structures. | Zi Lin, Bingsheng He, Byron Choi |
| 2005 | ICDE | Cache-Conscious Automata for XML Filtering. | Bingsheng He, Qiong Luo, Byron Choi |
| 2004 | NPC | Accurate Emulation of Wireless Sensor Networks. | Hejun Wu, Qiong Luo, Pei Zheng, Bingsheng He, Lionel M. Ni |
| 2004 | NPC | The HKUST Frog Pond - A Case Study of Sensory Data Analysis. | Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo |