Bingsheng He - RankMe

580 papers A* 75A 46B 31C 15Misc 7Journal 334Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model Licensing. WWW Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He
2026	J	`jnl`	A comprehensive taxonomy of prompt engineering techniques for large language models. Frontiers Comput. Sci. Yao-Yang Liu, Zhen Zheng, Feng Zhang, Jin-Cheng Feng, Yi-Yang Fu, Jidong Zhai, Bingsheng He, Xiao Zhang, Xiaoyong Du
2026	A	`conf`	Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design. EuroSys 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	J	`jnl`	Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection. CoRR Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026	J	`jnl`	BLITZ: A Flexible and Efficient Graph Mining System. IEEE Trans. Knowl. Data Eng. Yuhang Chen, Shixuan Sun, Jiaxin Jiang, Bingsheng He, Yuchen Li
2026	—	`conf`	Bat: Efficient Generative Recommender Serving with Bipartite Attention. ASPLOS (2) Jie Sun, Shaohang Wang, Zimo Zhang, Zhengyu Liu, Yunlong Xu, Peng Sun, Bo Zhao, Bingsheng He, Fei Wu, Zeke Wang
2026	J	`jnl`	ComStar: Compression-Aware Stream Query for Heterogeneous Hybrid Architecture. IEEE Trans. Parallel Distributed Syst. Yani Liu, Feng Zhang, Yu Zhang, Shuhao Zhang, Bingsheng He, Jianhua Wang, Jidong Zhai, Xiaoyong Du
2026	A*	`conf`	DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. AAAI Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026	A*	`conf`	Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. AAAI Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026	J	`jnl`	Efficient Densest Flow Queries in Transaction Flow Networks (Complete Version). CoRR Jiaxin Jiang, Yunxiang Zhao, Lyu Xu, Byron Choi, Bingsheng He, Shixuan Sun, Jia Chen
2026	J	`jnl`	Efficient KV Cache Spillover Management on Memory-Constrained GPU for LLM Inference. IEEE Trans. Parallel Distributed Syst. Jiazhi Jiang, Yao Chen, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen, Hongbin Zhang, Jiangsu Du, Dan Huang, Yutong Lu
2026	J	`jnl`	FWeb3: A Practical Incentive-Aware Federated Learning Framework. CoRR Peishen Yan, Shuang Liang, Yang Hua, Linshan Jiang, Kuai Yu, Yulin Sun, Yaozhi Zhang, Tao Song, Ningxin Hu, Xinran Liang, Bingsheng He, Haibing Guan
2026	J	`jnl`	Geometric Partition for Billion-Scale Approximate Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. Yujian Fu, Cheng Chen, Yao Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	Incremental GNN Embedding Computation on Streaming Graphs. CoRR Qiange Wang, Haoran Lv, Yanfeng Zhang, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	MHRC-Bench: A Multilingual Hardware Repository-Level Code Completion benchmark. CoRR Qingyun Zou, Jiahao Cui, Nuo Chen, Bingsheng He, Weng-Fai Wong
2026	J	`jnl`	Making Bias Non-Predictive: Training Robust LLM Judges via Reinforcement Learning. CoRR Qian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou, Nuo Chen, Dawn Song, Bingsheng He
2026	J	`jnl`	MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing. CoRR Chunyu Xue, Yi Pan, Weihao Cui, Quan Chen, Shulai Zhang, Bingsheng He, Minyi Guo
2026	A*	`conf`	NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification. AAAI Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026	J	`jnl`	ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data. CoRR Haodong Zhao, Jinming Hu, Zhaomin Wu, Zongru Wu, Wei Du, Junyi Hou, Caibei Zhao, Zhuosheng Zhang, Bingsheng He, Gongshen Liu
2026	J	`jnl`	QoS Awareness and Improved Throughput of Point Cloud Services With Dynamic Workloads. IEEE Trans. Computers Kaihua Fu, Jiuchen Shi, Yao Chen, Quan Chen, Weng-Fai Wong, Wei Wang, Bingsheng He, Minyi Guo
2026	J	`jnl`	Qute: Towards Quantum-Native Database. CoRR Muzhi Chen, Xuanhe Zhou, Wei Zhou, Bangrui Xu, Surui Tang, Guoliang Li, Bingsheng He, Yeye He, Yitong Song, Fan Wu
2026	A*	`conf`	RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. HPCA Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. CoRR Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	SSD: Self-Supervised Distillation for Heterophilic Graph Representation Learning. IEEE Trans. Knowl. Data Eng. Yuan Gao, Yuchen Li, Bingsheng He, Hezhe Qiao, Guoguo Ai, Hui Yan
2026	A*	`conf`	StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning. WWW Changwu Li, Tongjun Shi, Shuhao Zhang, Binbin Chen, Bingsheng He, Xiaofei Liao, Hai Jin
2026	—	`conf`	Towards High-Goodput LLM Serving with Prefill-decode Multiplexing. ASPLOS (2) Yukang Chen, Weihao Cui, Han Zhao, Ziyi Xu, Xiaoze Fan, Xusheng Chen, Yangjie Zhou, Shixuan Sun, Bingsheng He, Quan Chen
2025	J	`jnl`	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. IEEE Trans. Knowl. Data Eng. Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
2025	J	`jnl`	AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. ACM Comput. Surv. Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2025	A*	`conf`	AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning. HPCA Jiaqi Zhai, Xuanhua Shi, Kaiyi Huang, Chencheng Ye, Weifang Hu, Bingsheng He, Hai Jin
2025	A*	`conf`	Accelerating D-Core Maintenance over Dynamic Directed Graphs. ICDE Xuankun Liao, Qing Liu, Jiaxin Jiang, Byron Choi, Bingsheng He, Jianliang Xu
2025	A*	`conf`	Adapting Precomputed Features for Efficient Graph Condensation. ICML Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He
2025	A*	`conf`	Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. WWW Zhen Zhang, Bingsheng He
2025	J	`jnl`	Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. CoRR Zhen Zhang, Bingsheng He
2025	A*	`conf`	An Efficient Memoization Engine for Concurrent Graph Query Processing. ICDE Sen Gao, Shengliang Lu, Shixuan Sun, Yuchen Li, Bingsheng He
2025	J	`jnl`	Assessing Judging Bias in Large Reasoning Models: An Empirical Study. CoRR Qian Wang, Zhanzhi Lou, Zhenheng Tang, Nuo Chen, Xuandong Zhao, Wenxuan Zhang, Dawn Song, Bingsheng He
2025	J	`jnl`	Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration. CoRR Nuo Chen, Yicheng Tong, Jiaying Wu, Minh Duc Duong, Qian Wang, Qingyun Zou, Bryan Hooi, Bingsheng He
2025	J	`jnl`	Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts. CoRR Zhaomin Wu, Mingzhe Du, See-Kiong Ng, Bingsheng He
2025	—	`conf`	Blurred Encoding for Trajectory Representation Learning. KDD (2) Silin Zhou, Yao Chen, Shuo Shang, Lisi Chen, Bingsheng He, Ryosuke Shibasaki
2025	J	`jnl`	Blurred Encoding for Trajectory Representation Learning. CoRR Silin Zhou, Yao Chen, Shuo Shang, Lisi Chen, Bingsheng He, Ryosuke Shibasaki
2025	J	`jnl`	Breaking the Edge: Enabling Efficient Neural Network Inference on Integrated Edge Devices. IEEE Trans. Cloud Comput. Feng Zhang, Chenyang Zhang, Jiawei Guan, Qiangjun Zhou, Kuangyu Chen, Xiao Zhang, Bingsheng He, Jidong Zhai, Xiaoyong Du
2025	J	`jnl`	Bursting Flow Query on Large Temporal Flow Networks. Proc. ACM Manag. Data Lyu Xu, Jiaxin Jiang, Byron Choi, Jianliang Xu, Bingsheng He
2025	J	`jnl`	Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing. Proc. ACM Manag. Data Feng Yu, Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2025	J	`jnl`	Community Detection in Heterogeneous Information Networks Without Materialization. Proc. ACM Manag. Data Jiaxin Jiang, Siyuan Yao, Yuhang Chen, Bingsheng He, Yudong Niu, Yuchen Li, Shixuan Sun, Yongchao Liu
2025	A*	`conf`	Configurable DSP-Based CAM Architecture for Data-Intensive Applications on FPGAs. DAC Yao Chen, Feng Yu, Di Wu, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. CoRR Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2025	J	`jnl`	Disagreements in Reasoning: How a Model's Thinking Process Dictates Persuasion in Multi-Agent Systems. CoRR Haodong Zhao, Jidong Li, Zhaomin Wu, Tianjie Ju, Zhuosheng Zhang, Bingsheng He, Gongshen Liu
2025	J	`jnl`	Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report). CoRR Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen
2025	J	`jnl`	Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs. Proc. ACM Manag. Data Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen
2025	J	`jnl`	Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. CoRR Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	J	`jnl`	Efficient Function-as-a-Service for Large Language Models with TIDAL. CoRR Weihao Cui, Ziyi Xu, Han Zhao, Quan Chen, Zijun Li, Bingsheng He, Minyi Guo
2025	J	`jnl`	Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing. Proc. VLDB Endow. Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, Cheng Zhao, Jiaming Tian, Jiaxin Jiang, Xiaoliang Cong, Yanfeng Zhang, Ge Yu, Weng-Fai Wong, Bingsheng He
2025	—	`conf`	Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. NAACL (Long Papers) Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He
2025	J	`jnl`	Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. CoRR Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He
2025	J	`jnl`	FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform. CoRR Xin Tong, Xuanhe Zhou, Bingsheng He, Guoliang Li, Zirui Tang, Wei Zhou, Fan Wu, Mian Lu, Yuqiang Chen
2025	—	`conf`	Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models. IJCNLP-AACL (Findings) Wenqi Pei, Hailing Xu, Henry Hengyuan Zhao, Shizheng Hou, Chen Han, Zining Zhang, Pingyi Luo, Bingsheng He
2025	J	`jnl`	Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models. CoRR Wenqi Pei, Hailing Xu, Hengyuan Zhao, Shizheng Hou, Han Chen, Zining Zhang, Pingyi Luo, Bingsheng He
2025	—	`conf`	Federated Data-Efficient Instruction Tuning for Large Language Models. ACL (Findings) Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng
2025	J	`jnl`	FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. CoRR Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso
2025	J	`jnl`	From ChatGPT to DeepSeek: Can LLMs Simulate Humanity? CoRR Qian Wang, Zhenheng Tang, Bingsheng He
2025	J	`jnl`	HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis. CoRR Qingyun Zou, Nuo Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2025	J	`jnl`	Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. CoRR Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
2025	B	`conf`	Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. PPoPP Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou
2025	A*	`conf`	HiPACK: Efficient Sub-8-Bit Direct Convolution with SIMD and Bitwise Management. MICRO Yao Chen, Cheng Gong, Bingsheng He
2025	J	`jnl`	JudgeLRM: Large Reasoning Models as a Judge. CoRR Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He
2025	J	`jnl`	LLM DNA: Tracing Model Evolution via Functional Representations. CoRR Zhaomin Wu, Haodong Zhao, Ziyang Wang, Jizhou Guo, Qian Wang, Bingsheng He
2025	J	`jnl`	Learning Relational Tabular Data without Shared Features. CoRR Zhaomin Wu, Shida Wang, Ziyang Wang, Bingsheng He
2025	J	`jnl`	LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation. CoRR Han Chen, Zicong Jiang, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen
2025	J	`jnl`	ML-Asset Management: Curation, Discovery, and Utilization. CoRR Mengying Wang, Moming Duan, Yicong Huang, Chen Li, Bingsheng He, Yinghui Wu
2025	J	`jnl`	ML-Asset Management: Curation, Discovery, and Utilization. Proc. VLDB Endow. Mengying Wang, Moming Duan, Yicong Huang, Chen Li, Bingsheng He, Yinghui Wu
2025	—	`conf`	MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. ACL (Findings) Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He
2025	A*	`conf`	Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. AAAI Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
2025	A*	`conf`	Model-based Large Language Model Customization as Service. EMNLP Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang
2025	A*	`conf`	Multi-Label Node Classification with Label Influence Propagation. ICLR Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He
2025	J	`jnl`	NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification. CoRR Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	—	`conf`	NodeImport: Imbalanced Node Classification with Node Importance Assessment. KDD (1) Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen
2025	A	`conf`	OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. EuroSys 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	—	`conf`	OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. SIGMOD Conference Companion Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen
2025	J	`jnl`	OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. CoRR Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen
2025	J	`jnl`	PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing. CoRR Junyi Hou, Andre Huikai Lin, Nuo Chen, Yiwei Gong, Bingsheng He
2025	—	`conf`	Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance. ICML (Position Papers) Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He
2025	J	`jnl`	Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference. CoRR Nuo Chen, Moming Duan, Andre Huikai Lin, Qian Wang, Jiaying Wu, Bingsheng He
2025	J	`jnl`	PyGDA: A Python Library for Graph Domain Adaptation. CoRR Zhen Zhang, Meihan Liu, Bingsheng He
2025	J	`jnl`	RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. CoRR Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He
2025	J	`jnl`	RICH: Real-time Identification of negative Cycles for High-efficiency Arbitrage. Proc. VLDB Endow. Bingqiao Luo, Jiaxin Jiang, Yuhang Chen, Junyi Hou, Cheng Jun Tey, Ziyang Qiu, Bingsheng He, Spencer Xiao, Dominic Ong, Wee Howe Ang
2025	J	`jnl`	Reasoning Models Can be Easily Hacked by Fake Reasoning Bias. CoRR Qian Wang, Yubo Fan, Zhenheng Tang, Nuo Chen, Wenxuan Wang, Bingsheng He
2025	J	`jnl`	Revisiting the Design of In-Memory Dynamic Graph Storage. CoRR Jixian Su, Chiyu Hao, Shixuan Sun, Hao Zhang, Sen Gao, Jiaxin Jiang, Yao Chen, Chenyi Zhang, Bingsheng He, Minyi Guo
2025	J	`jnl`	Revisiting the Design of In-Memory Dynamic Graph Storage. Proc. ACM Manag. Data Jixian Su, Chiyu Hao, Shixuan Sun, Hao Zhang, Sen Gao, Jiaxin Jiang, Yao Chen, Chenyi Zhang, Bingsheng He, Minyi Guo
2025	—	`conf`	ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU. KDD (1) Borui Xu, Zeyi Wen, Yao Chen, Weiguo Liu, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs. IEEE Trans. Knowl. Data Eng. Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2025	—	`conf`	TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU. ASPLOS (3) 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	J	`jnl`	The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve? CoRR Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li
2025	J	`jnl`	Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming. CoRR Zhen Zhang, Bingsheng He
2025	J	`jnl`	Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. CoRR Zhaomin Wu, Zhen Qin, Junyi Hou, Haodong Zhao, Qinbin Li, Bingsheng He, Lixin Fan
2025	A*	`conf`	Vista: Vector Indexing and Search for Large-Scale Imbalanced Datasets. ICDE Yujian Fu, Cheng Chen, Yao Chen, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	What Limits LLM-based Human Simulation: LLMs or Our Design? CoRR Qian Wang, Jiaying Wu, Zhenheng Tang, Bingqiao Luo, Nuo Chen, Wei Chen, Bingsheng He
2025	J	`jnl`	WikiDBGraph: Large-Scale Database Graph of Wikidata for Collaborative Learning. CoRR Zhaomin Wu, Ziyang Wang, Bingsheng He
2025	J	`jnl`	XPUTimer: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale. CoRR Weihao Cui, Ji Zhang, Han Zhao, Chao Liu, Wenhao Zhang, Jian Sha, Quan Chen, Bingsheng He, Minyi Guo
2025	J	`jnl`	XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision. CoRR Nuo Chen, Andre Huikai Lin, Jiaying Wu, Junyi Hou, Zining Zhang, Qian Wang, Xidong Wang, Bingsheng He
2024	J	`jnl`	"They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing. CoRR Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He
2024	J	`jnl`	A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. CoRR Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He
2024	J	`jnl`	A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms. IEEE Trans. Knowl. Data Eng. Yuchen Li, Shixuan Sun, Hanhua Xiao, Chang Ye, Shengliang Lu, Bingsheng He
2024	J	`jnl`	Aggressive Post-Training Compression on Extremely Large Language Models. CoRR Zining Zhang, Yao Chen, Bingsheng He, Zhenjie Zhang
2024	—	`conf`	Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing. VLDB Workshops Wentao Huang, Mo Sha, Mian Lu, Yuqiang Chen, Bingsheng He, Kian-Lee Tan
2024	J	`jnl`	BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes. CoRR Qian Wang, Zemin Liu, Zhen Zhang, Bingsheng He
2024	A*	`conf`	Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. WWW Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He
2024	J	`jnl`	Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. CoRR Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He
2024	A*	`conf`	Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. ICLR Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
2024	A*	`conf`	CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. EMNLP Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He
2024	A*	`conf`	EX-Graph: A Pioneering Dataset Bridging Ethereum and X. ICLR Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
2024	A*	`conf`	Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	Efficient Heterogeneous Graph Learning via Random Projection. IEEE Trans. Knowl. Data Eng. Jun Hu, Bryan Hooi, Bingsheng He
2024	J	`jnl`	Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality. Proc. ACM Manag. Data Xilin Tang, Feng Zhang, Shuhao Zhang, Yani Liu, Bingsheng He, Xiaoyong Du
2024	J	`jnl`	Enhancing LLM Trading Performance with Fact-Subjectivity Aware Reasoning. CoRR Qian Wang, Yuchen Gao, Zhenheng Tang, Bingqiao Luo, Bingsheng He
2024	A*	`conf`	Exploiting Label Skews in Federated Learning with Model Concatenation. AAAI Yiqun Diao, Qinbin Li, Bingsheng He
2024	—	`conf`	FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing. ASPLOS (2) Yushi Liu, Shixuan Sun, Zijun Li, Quan Chen, Sen Gao, Bingsheng He, Chao Li, Minyi Guo
2024	J	`jnl`	Federated Data-Efficient Instruction Tuning for Large Language Models. CoRR Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng
2024	A*	`conf`	Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. NeurIPS Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
2024	J	`jnl`	Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. CoRR Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
2024	J	`jnl`	FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework. CoRR Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen, Yibo Liu, Jing Wang, Cheng Zhao, Xiaofeng Hou, Minyi Guo, Bingsheng He, Xiaoliang Cong
2024	J	`jnl`	FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework. Proc. VLDB Endow. Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen, Yibo Liu, Jing Wang, Cheng Zhao, Xiaofeng Hou, Minyi Guo, Bingsheng He, Xiaoliang Cong
2024	J	`jnl`	FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu
2024	J	`jnl`	GPU-based butterfly counting. VLDB J. Yifei Xia, Feng Zhang, Qingyu Xu, Mingde Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He, Siqi Ma
2024	J	`jnl`	Introduction to distributed and parallel processing of big spatiotemporal data. Future Gener. Comput. Syst. Shuo Shang, Bingsheng He, Lizhe Wang
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	Large-Scale Graph Label Propagation on GPUs. IEEE Trans. Knowl. Data Eng. Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun
2024	J	`jnl`	MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems. CoRR Qian Wang, Tianyu Wang, Qinbin Li, Jingsheng Liang, Bingsheng He
2024	J	`jnl`	Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. CoRR Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
2024	J	`jnl`	Model-Based Differentially Private Knowledge Transfer for Large Language Models. CoRR Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang
2024	A*	`conf`	ModelGo: A Practical Tool for Machine Learning License Analysis. WWW Moming Duan, Qinbin Li, Bingsheng He
2024	A*	`conf`	Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets. NeurIPS Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He
2024	J	`jnl`	OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. Proc. VLDB Endow. Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
2024	J	`jnl`	OFL-W3: A One-shot Federated Learning System on Web 3.0. CoRR Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song
2024	J	`jnl`	OFL-W3: A One-shot Federated Learning System on Web 3.0. Proc. VLDB Endow. Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song
2024	J	`jnl`	Optimizing the Number of Clusters for Billion-Scale Quantization-Based Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. Yujian Fu, Cheng Chen, Xiaohui Chen, Weng-Fai Wong, Bingsheng He
2024	A*	`conf`	Partitioning Message Passing for Graph Fraud Detection. ICLR Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
2024	J	`jnl`	Partitioning Message Passing for Graph Fraud Detection. CoRR Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
2024	A*	`conf`	Practical Hybrid Gradient Compression for Federated Learning Systems. IJCAI Sixu Hu, Linshan Jiang, Bingsheng He
2024	J	`jnl`	Practical Vertical Federated Learning With Unsupervised Representation Learning. IEEE Trans. Big Data Zhaomin Wu, Qinbin Li, Bingsheng He
2024	A*	`conf`	RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. MICRO Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin
2024	J	`jnl`	RUSH: Real-time Burst Subgraph Discovery in Dynamic Graphs. Proc. VLDB Endow. Yuhang Chen, Jiaxin Jiang, Shixuan Sun, Bingsheng He, Min Chen
2024	A*	`conf`	Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. NeurIPS Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
2024	J	`jnl`	Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. CoRR Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
2024	J	`jnl`	Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs. IEEE Trans. Knowl. Data Eng. Jiaxin Jiang, Yuhang Chen, Bingsheng He, Min Chen, Jia Chen
2024	J	`jnl`	Spade: A Real-Time Fraud Detection Framework. Proc. VLDB Endow. Jiaxin Jiang, Zhen Zhang, Bingqiao Luo, Bingsheng He, Min Chen, Wei Yang Wang, Jia Chen
2024	B	`conf`	TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures. EDBT Yunhong Ji, Wentao Huang, Xuan Zhou, Bingsheng He, Kian-Lee Tan
2024	A*	`conf`	VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. ICLR Zhaomin Wu, Junyi Hou, Bingsheng He
2024	J	`jnl`	uBlade: Efficient Batch Processing for Uncertainty Graph Queries. Proc. ACM Manag. Data Siyuan Yao, Yuchen Li, Shixuan Sun, Jiaxin Jiang, Bingsheng He
2023	J	`jnl`	A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory. Proc. VLDB Endow. Wentao Huang, Yunhong Ji, Xuan Zhou, Bingsheng He, Kian-Lee Tan
2023	A*	`conf`	A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). ICDE Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia
2023	J	`jnl`	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
2023	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
2023	A*	`conf`	A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract). ICDE Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li
2023	J	`jnl`	A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming. Math. Comput. Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
2023	J	`jnl`	AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. CoRR Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2023	A*	`conf`	Adversarial Collaborative Learning on Non-IID Features. ICML Qinbin Li, Bingsheng He, Dawn Song
2023	A*	`conf`	BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. WWW Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
2023	J	`jnl`	BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. CoRR Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
2023	B	`conf`	Communication-Efficient Generalized Neuron Matching for Federated Learning. ICPP Sixu Hu, Qinbin Li, Bingsheng He
2023	J	`jnl`	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He
2023	J	`jnl`	ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. CoRR Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
2023	A*	`conf`	EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices. ICDE Chenyang Zhang, Feng Zhang, Kuangyu Chen, Mingjun Chen, Bingsheng He, Xiaoyong Du
2023	J	`jnl`	Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2023	J	`jnl`	Efficient Decomposition Selection for Multi-class Classification. IEEE Trans. Knowl. Data Eng. Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen
2023	J	`jnl`	Efficient Heterogeneous Graph Learning via Random Projection. CoRR Jun Hu, Bryan Hooi, Bingsheng He
2023	J	`jnl`	Exploiting Label Skews in Federated Learning with Model Concatenation. CoRR Yiqun Diao, Qinbin Li, Bingsheng He
2023	J	`jnl`	FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. Proc. VLDB Endow. Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen
2023	—	`conf`	FedTree: A Federated Learning System For Trees. MLSys Qinbin Li, Zhaomin Wu, Yanzheng Cai, Yuxuan Han, Ching Man Yung, Tianyuan Fu, Bingsheng He
2023	J	`jnl`	FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
2023	J	`jnl`	GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Trans. Archit. Code Optim. Jin Zhao, Yu Zhang, Ligang He, Qikun Li, Xiang Zhang, Xinyu Jiang, Hui Yu, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ji Zhang, Xianzheng Song, Lin Wang, Jun Zhou
2023	J	`jnl`	HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading). CoRR Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2023	J	`jnl`	HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2023	A*	`conf`	Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs. ICDM Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He
2023	J	`jnl`	LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2023	J	`jnl`	LightRW: FPGA Accelerated Graph Dynamic Random Walks. Proc. ACM Manag. Data Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2023	A*	`conf`	Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. NeurIPS Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
2023	J	`jnl`	Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. CoRR Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
2023	J	`jnl`	NIOT: A Novel Inference Optimization of Transformers on Modern CPUs. IEEE Trans. Parallel Distributed Syst. Zining Zhang, Yao Chen, Bingsheng He, Zhenjie Zhang
2023	J	`jnl`	OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
2023	A*	`conf`	OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. ICDE 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	J	`jnl`	Parallel Colorful h-star Core Maintenance in Dynamic Graphs. Proc. VLDB Endow. Sen Gao, Hongchao Qin, Rong-Hua Li, Bingsheng He
2023	—	`conf`	Practical Edge Kernels for Integer-Only Vision Transformers Under Post-training Quantization. MLSys Zining Zhang, Bingsheng He, Zhenjie Zhang
2023	J	`jnl`	RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. ACM Trans. Archit. Code Optim. Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue
2023	A*	`conf`	Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning. KDD Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang
2023	J	`jnl`	Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu
2023	J	`jnl`	Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. Proc. ACM Manag. Data Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
2023	A*	`conf`	Towards Addressing Label Skews in One-Shot Federated Learning. ICLR Yiqun Diao, Qinbin Li, Bingsheng He
2023	J	`jnl`	VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. CoRR Zhaomin Wu, Junyi Hou, Bingsheng He
2023	J	`jnl`	Welcome. Commun. ACM Flora D. Salim, Bingsheng He, Ken-ichi Kawarabayashi
2022	A*	`conf`	A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. NeurIPS Zhaomin Wu, Qinbin Li, Bingsheng He
2022	J	`jnl`	A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems. SIAM J. Imaging Sci. Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
2022	J	`jnl`	A High-Performance Index for Real-Time Matrix Retrieval. IEEE Trans. Knowl. Data Eng. Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia
2022	J	`jnl`	A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs. CoRR Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun
2022	J	`jnl`	A Stack-Centric Processing Model for Iterative Processing. IEEE Trans. Big Data Zhifei Pang, Sai Wu, Gang Chen, Lidan Shou, Ke Chen, Bingsheng He
2022	J	`jnl`	A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. IEEE Trans. Computers Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu
2022	J	`jnl`	A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications. IEEE Trans. Knowl. Data Eng. Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li
2022	A	`conf`	A System for Time Series Feature Extraction in Federated Learning. CIKM Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He
2022	A*	`conf`	Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. ICDE Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao
2022	J	`jnl`	An In-Depth Study of Continuous Subgraph Matching (Complete Version). CoRR Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He
2022	J	`jnl`	An In-Depth Study of Continuous Subgraph Matching. Proc. VLDB Endow. Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He
2022	A*	`conf`	Dynamic Graph Segmentation for Deep Graph Neural Networks. KDD Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He
2022	J	`jnl`	Efficient Load-Balanced Butterfly Counting on GPU. Proc. VLDB Endow. Qingyu Xu, Feng Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He
2022	A*	`conf`	Federated Learning on Non-IID Data Silos: An Experimental Study. ICDE Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
2022	B	`conf`	HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. ICPP Zining Zhang, Bingsheng He, Zhenjie Zhang
2022	J	`jnl`	HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. CoRR Zining Zhang, Bingsheng He, Zhenjie Zhang
2022	J	`jnl`	Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. J. Syst. Archit. Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
2022	J	`jnl`	Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Trans. Parallel Distributed Syst. Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng
2022	A	`conf`	Micro-architectural Analysis of OLAP Systems on Persistent Memory. CIDR Jie Liang Ang, Jefferson Chu, Hieu Le Trung, Jiajun Liu, Jiong He, Qian Lin, Bingsheng He
2022	J	`jnl`	On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. J. Math. Imaging Vis. Bingsheng He, Shengjie Xu, Xiaoming Yuan
2022	J	`jnl`	Parallel and Distributed Structured SVM Training. IEEE Trans. Parallel Distributed Syst. Jiantong Jiang, Zeyi Wen, Zeke Wang, Bingsheng He, Jian Chen
2022	J	`jnl`	Payment behavior prediction on shared parking lots with TR-GCN. VLDB J. Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du
2022	J	`jnl`	Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction. IEEE Trans. Knowl. Data Eng. Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiao Zhang, Xiaoyong Du
2022	J	`jnl`	Practical Vertical Federated Learning with Unsupervised Representation Learning. CoRR Zhaomin Wu, Qinbin Li, Bingsheng He
2022	J	`jnl`	Privacy-preserving workflow scheduling in geo-distributed data centers. Future Gener. Comput. Syst. Yao Xiao, Amelie Chi Zhou, Xuan Yang, Bingsheng He
2022	J	`jnl`	RapidFlow: An Efficient Approach to Continuous Subgraph Matching. Proc. VLDB Endow. Shixuan Sun, Xibo Sun, Bingsheng He, Qiong Luo
2022	A*	`conf`	ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. MICRO Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
2022	J	`jnl`	ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. CoRR Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
2022	J	`jnl`	Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. CoRR Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
2022	J	`jnl`	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). CoRR Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
2022	J	`jnl`	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. Proc. VLDB Endow. Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
2022	A*	`conf`	TDGraph: a topology-driven accelerator for high-performance streaming graph processing. ISCA Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu
2022	J	`jnl`	Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach. IEEE Trans. Parallel Distributed Syst. Amelie Chi Zhou, Weilin Xue, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng
2022	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2022	J	`jnl`	The Serverless Computing Survey: A Technical Primer for Design Architecture. ACM Comput. Surv. Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo
2022	J	`jnl`	ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS. ACM Trans. Reconfigurable Technol. Syst. Xinyu Chen, Feng Cheng, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. CoRR Zhaomin Wu, Qinbin Li, Bingsheng He
2021	J	`jnl`	A parallel splitting ALM-based algorithm for separable convex programming. Comput. Optim. Appl. Shengjie Xu, Bingsheng He
2021	J	`jnl`	Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures. IEEE Trans. Knowl. Data Eng. Feng Zhang, Jidong Zhai, Bo Wu, Bingsheng He, Wenguang Chen, Xiaoyong Du
2021	—	`conf`	Cache-Efficient Fork-Processing Patterns on Large Graphs. SIGMOD Conference Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He
2021	J	`jnl`	Cache-Efficient Fork-Processing Patterns on Large Graphs. CoRR Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He
2021	A*	`conf`	Challenges and Opportunities of Building Fast GBDT Systems. IJCAI Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
2021	J	`jnl`	DBL: Efficient Reachability Queries on Dynamic Graphs (Complete Version). CoRR Qiuyi Lyu, Yuchen Li, Bingsheng He, Bin Gong
2021	—	`conf`	DBL: Efficient Reachability Queries on Dynamic Graphs. DASFAA (2) Qiuyi Lyu, Yuchen Li, Bingsheng He, Bin Gong
2021	J	`jnl`	Database Systems on GPUs. Found. Trends Databases Johns Paul, Shengliang Lu, Bingsheng He
2021	A*	`conf`	DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. HPCA Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu
2021	—	`conf`	Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. SIGMOD Conference Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He
2021	J	`jnl`	Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. CoRR Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He
2021	A*	`conf`	Enhancing SVMs with Problem Context Aware Pipeline. KDD Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen
2021	J	`jnl`	Federated Learning on Non-IID Data Silos: An Experimental Study. CoRR Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
2021	J	`jnl`	Fine-Grained Multi-Query Stream Processing on Integrated Architectures. IEEE Trans. Parallel Distributed Syst. Feng Zhang, Chenyang Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du
2021	A	`conf`	From Community Search to Community Understanding: A Multimodal Community Query Engine. CIKM Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang
2021	—	`conf`	GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. SIGMOD Conference Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun
2021	A	`conf`	Gengar: An RDMA-based Distributed Hybrid Memory Pool. ICDCS Zhuohui Duan, Haikun Liu, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He
2021	J	`jnl`	HGP4CNN: an efficient parallelization framework for training convolutional neural networks on modern GPUs. J. Supercomput. Hao Fu, Shanjiang Tang, Bingsheng He, Ce Yu, Jizhou Sun
2021	A	`conf`	LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. SC Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu
2021	J	`jnl`	LargeGraph: An Efficient Dependency-Aware GPU-Accelerated Large-Scale Graph Processing. ACM Trans. Archit. Code Optim. Yu Zhang, Da Peng, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu, Bingsheng He
2021	—	`conf`	MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures. SIGMOD Conference Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau
2021	A*	`conf`	Model-Contrastive Federated Learning. CVPR Qinbin Li, Bingsheng He, Dawn Song
2021	J	`jnl`	Model-Contrastive Federated Learning. CoRR Qinbin Li, Bingsheng He, Dawn Song
2021	J	`jnl`	Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong, Guoan Wu, Yuping Zhao, Andy Rudoff
2021	—	`conf`	Parallelizing Intra-Window Join on Multicores: An Experimental Study. SIGMOD Conference Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl
2021	—	`conf`	PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. SIGMOD Conference Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi
2021	J	`jnl`	PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. CoRR Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi
2021	A*	`conf`	Practical One-Shot Federated Learning for Cross-Silo Setting. IJCAI Qinbin Li, Bingsheng He, Dawn Song
2021	A*	`conf`	Skew-Oblivious Data Routing for Data Intensive Applications on FPGAs with HLS. DAC Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS. CoRR Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	The Serverless Computing Survey: A Technical Primer for Design Architecture. CoRR Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo
2021	J	`jnl`	ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs. CoRR Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2021	A	`conf`	ThundeRiNG: generating multiple independent random number sequences on FPGAs. ICS Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2021	A	`conf`	ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version). CoRR Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
2021	J	`jnl`	ThunderRW: An In-Memory Graph Random Walk Engine. Proc. VLDB Endow. Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
2021	Misc	`conf`	TransMask: A Compact and Fast Speech Separation Model Based on Transformer. ICASSP Zining Zhang, Bingsheng He, Zhenjie Zhang
2021	J	`jnl`	TransMask: A Compact and Fast Speech Separation Model Based on Transformer. CoRR Zining Zhang, Bingsheng He, Zhenjie Zhang
2021	J	`jnl`	Understanding and Optimizing Conjunctive Predicates Under Memory-Efficient Storage Layouts. IEEE Trans. Knowl. Data Eng. Zeke Wang, Xue Liu, Kai Zhang, Haihang Zhou, Bingsheng He
2021	J	`jnl`	VColor*: a practical approach for coloring large graphs. Frontiers Comput. Sci. Yun Peng, Xin Lin, Byron Choi, Bingsheng He
2021	J	`jnl`	YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve. IEEE Trans. Parallel Distributed Syst. Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
2021	J	`jnl`	iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures. IEEE Trans. Parallel Distributed Syst. Chenyang Zhang, Feng Zhang, Xiaoguang Guo, Bingsheng He, Xiao Zhang, Xiaoyong Du
2020	J	`jnl`	A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions. CoRR Haikun Liu, Di Chen, Hai Jin, Xiaofei Liao, Bingsheng He, Kan Hu, Yu Zhang
2020	—	`ed.`	AIDB@VLDB 2020, 2nd International Workshop on Applied AI for Database Systems and Applications, Held with VLDB 2020, Monday, August 31, 2020, Online Event / Tokyo, Japan AIDB@VLDB Bingsheng He, Berthold Reinwald, Yingjun Wu
2020	J	`jnl`	Accelerating Exact Constrained Shortest Paths on GPUs. Proc. VLDB Endow. Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu
2020	J	`jnl`	Accelerating Generative Neural Networks on Unmodified Deep Learning Processors - A Software Approach. IEEE Trans. Computers Dawen Xu, Cheng Liu, Ying Wang, Kaijie Tu, Bingsheng He, Lei Zhang
2020	J	`jnl`	Adaptive Kernel Value Caching for SVM Training. IEEE Trans. Neural Networks Learn. Syst. Qinbin Li, Zeyi Wen, Bingsheng He
2020	J	`jnl`	AsynGraph: Maximizing Data Parallelism for Efficient Iterative Graph Processing on GPUs. ACM Trans. Archit. Code Optim. Yu Zhang, Xiaofei Liao, Lin Gu, Hai Jin, Kan Hu, Haikun Liu, Bingsheng He
2020	—	`conf`	ByteSeries: an in-memory time series database for large-scale monitoring systems. SoCC Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li
2020	B	`conf`	CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. ICPP Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
2020	J	`jnl`	Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters. IEEE Trans. Parallel Distributed Syst. Amelie Chi Zhou, Bingkun Shen, Yao Xiao, Shadi Ibrahim, Bingsheng He
2020	A	`conf`	Energy Efficient In-memory Integer Multiplication Based on Racetrack Memory. ICDCS Tao Luo, Wei Zhang, Bingsheng He, Cheng Liu, Douglas L. Maskell
2020	—	`conf`	FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures. USENIX ATC Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du
2020	J	`jnl`	G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs. Proc. VLDB Endow. Husong Liu, Shengliang Lu, Xinyu Chen, Bingsheng He
2020	A	`conf`	GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus. INTERSPEECH Zining Zhang, Bingsheng He, Zhenjie Zhang
2020	J	`jnl`	GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus. CoRR Zining Zhang, Bingsheng He, Zhenjie Zhang
2020	—	`conf`	GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. SIGMOD Conference Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan
2020	C	`conf`	GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning. GPC Bo Liu, Wenbin Jiang, Shaofeng Zhao, Hai Jin, Bingsheng He
2020	J	`jnl`	Hardware-Conscious Stream Processing: A Survey. CoRR Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns
2020	J	`jnl`	Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs. Proc. VLDB Endow. Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau
2020	A	`conf`	Is FPGA Useful for Hash Joins? CIDR Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen
2020	A*	`conf`	Maxson: Reduce Duplicate Parsing Overhead on Raw Data. ICDE Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou
2020	J	`jnl`	Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. CoRR Qinbin Li, Bingsheng He, Dawn Song
2020	J	`jnl`	Object-Level Memory Allocation and Migration in Hybrid Memory Systems. IEEE Trans. Computers Haikun Liu, Renshan Liu, Xiaofei Liao, Hai Jin, Bingsheng He, Yu Zhang
2020	J	`jnl`	Optimally linearizing the alternating direction method of multipliers for convex programming. Comput. Optim. Appl. Bingsheng He, Feng Ma, Xiaoming Yuan
2020	A*	`conf`	PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe. ICDE Li Wang, Zining Zhang, Bingsheng He, Zhenjie Zhang
2020	J	`jnl`	Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He
2020	A*	`conf`	PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. IJCAI Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du
2020	—	`conf`	Poet: an Interactive Spatial Query Processing System in Grab. SIGSPATIAL/GIS Johns Paul, Jie Liang Ang, Tianyuan Fu, Bingsheng He, Shengliang Lu, Sien Yi Tan, Feng Cheng
2020	A*	`conf`	Practical Federated Gradient Boosting Decision Trees. AAAI Qinbin Li, Zeyi Wen, Bingsheng He
2020	A*	`conf`	Privacy-Preserving Gradient Boosting Decision Trees. AAAI Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2020	J	`jnl`	RapidMatch: A Holistic Approach to Subgraph Query Processing. Proc. VLDB Endow. Shixuan Sun, Xibo Sun, Yulin Che, Qiong Luo, Bingsheng He
2020	J	`jnl`	Revisiting hash join on graphics processors: a decade later. Distributed Parallel Databases Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau
2020	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2020	J	`jnl`	ThunderGBM: Fast GBDTs and Random Forests on GPUs. J. Mach. Learn. Res. Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
2020	A*	`conf`	Towards Concurrent Stateful Stream Processing on Multicore Processors. ICDE Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He
2020	A	`conf`	X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network. INTERSPEECH Zining Zhang, Bingsheng He, Zhenjie Zhang
2020	J	`jnl`	gMig: Efficient vGPU Live Migration with Overlapped Software-Based Dirty Page Verification. IEEE Trans. Parallel Distributed Syst. Qiumin Lu, Xiao Zheng, Jiacheng Ma, Yaozu Dong, Zhengwei Qi, Jianguo Yao, Bingsheng He, Haibing Guan
2019	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He
2019	J	`jnl`	A Survey on Graph Processing Accelerators: Challenges and Opportunities. CoRR Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin
2019	J	`jnl`	A Survey on Graph Processing Accelerators: Challenges and Opportunities. J. Comput. Sci. Technol. Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin
2019	J	`jnl`	Adaptive Kernel Value Caching for SVM Training. CoRR Qinbin Li, Zeyi Wen, Bingsheng He
2019	J	`jnl`	An Adaptive Efficiency-Fairness Meta-Scheduler for Data-Intensive Computing. IEEE Trans. Serv. Comput. Zhaojie Niu, Shanjiang Tang, Bingsheng He
2019	A*	`conf`	Aucher: Multi-modal Queries on Live Audio Streams in Real-Time. ICDE Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, Bo Li
2019	—	`ch.`	Big Data and Exascale Computing. Encyclopedia of Big Data Technologies Amelie Chi Zhou, Bingsheng He
2019	—	`conf`	BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. SIGMOD Conference Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He
2019	J	`jnl`	BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. CoRR Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He
2019	J	`jnl`	CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. ACM Trans. Storage Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He
2019	A	`conf`	Deploying Hash Tables on Die-Stacked High Bandwidth Memory. CIKM Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen
2019	A*	`conf`	DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. ASPLOS Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu
2019	J	`jnl`	Efficient Memory Management for GPU-based Deep Learning Systems. CoRR Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang
2019	A*	`conf`	Efficient Multi-Class Probabilistic SVMs on GPUs. ICDE Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen
2019	J	`jnl`	Efficient Multi-Class Probabilistic SVMs on GPUs. IEEE Trans. Knowl. Data Eng. Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen
2019	—	`ch.`	Emerging Hardware Technologies. Encyclopedia of Big Data Technologies Xuntao Cheng, Cheng Liu, Bingsheng He
2019	J	`jnl`	Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Trans. Parallel Distributed Syst. Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li
2019	J	`jnl`	Fairness-Efficiency Allocation of CPU-GPU Heterogeneous Resources. IEEE Trans. Serv. Comput. Qiumin Lu, Jianguo Yao, Zhengwei Qi, Bingsheng He, Haibing Guan
2019	—	`ch.`	GPU-Based Hardware Platforms. Encyclopedia of Big Data Technologies Johns Paul, Bingsheng He, Chiew Tong Lau
2019	A	`conf`	GraphM: an efficient storage system for high throughput of concurrent graph processing. SC Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen
2019	J	`jnl`	Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data Bingsheng He, Yunji Chen, Jingren Zhou
2019	J	`jnl`	Hardware-Conscious Stream Processing: A Survey. SIGMOD Rec. Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns
2019	B	`conf`	Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. ICPP Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng
2019	—	`conf`	OBFS: OpenCL Based BFS Optimizations on Software Programmable FPGAs. FPT Cheng Liu, Xinyu Chen, Bingsheng He, Xiaofei Liao, Ying Wang, Lei Zhang
2019	B	`conf`	On-The-Fly Parallel Data Shuffling for Graph Processing on OpenCL-Based FPGAs. FPL Xinyu Chen, Ronak Bajaj, Yao Chen, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen
2019	J	`jnl`	Practical Federated Gradient Boosting Decision Trees. CoRR Qinbin Li, Zeyi Wen, Bingsheng He
2019	J	`jnl`	Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers. IEEE Trans. Parallel Distributed Syst. Amelie Chi Zhou, Yao Xiao, Yifan Gong, Bingsheng He, Jidong Zhai, Rui Mao
2019	J	`jnl`	Privacy-Preserving Gradient Boosting Decision Trees. CoRR Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2019	—	`conf`	Revisiting Hash Join on Graphics Processors: A Decade Later. ICDE Workshops Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau
2019	J	`jnl`	Scaling Stream Processing with Transactional State Management on Multicores. CoRR Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He
2019	—	`ch.`	Search and Query Accelerators. Encyclopedia of Big Data Technologies Johns Paul, Bingsheng He, Chiew Tong Lau
2019	—	`ch.`	Storage Technologies for Big Data. Encyclopedia of Big Data Technologies Zhaojie Niu, Bingsheng He
2019	J	`jnl`	Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. ACM Trans. Archit. Code Optim. Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, Song Jiang
2019	J	`jnl`	Towards Declarative and Data-Centric Virtual Machine Image Management in IaaS Clouds. IEEE Trans. Cloud Comput. Haikun Liu, Bingsheng He, Xiaofei Liao, Hai Jin
2019	—	`conf`	TraV: An Interactive Exploration System for Massive Trajectory Data. BigMM Jieliang Ang, Tianyuan Fu, Johns Paul, Shuhao Zhang, Bingsheng He, Teddy Sison David Wenceslao, Sien Yi Tan
2018	J	`jnl`	A Survey on Spark Ecosystem for Big Data Processing. CoRR Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li
2018	J	`jnl`	A class of ADMM-based algorithms for three-block separable convex programming. Comput. Optim. Appl. Bingsheng He, Xiaoming Yuan
2018	B	`conf`	An efficient graph accelerator with parallel data conflict management. PACT Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He
2018	—	`conf`	CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. USENIX ATC Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu
2018	J	`jnl`	Database Architectures for Modern Hardware (Dagstuhl Seminar 18251). Dagstuhl Reports Peter A. Boncz, Goetz Graefe, Bingsheng He, Kai-Uwe Sattler
2018	J	`jnl`	Efficient Disk-Based Directed Graph Processing: A Strongly Connected Component Approach. IEEE Trans. Parallel Distributed Syst. Yu Zhang, Xiaofei Liao, Xiang Shi, Hai Jin, Bingsheng He
2018	A	`conf`	Efficient Gradient Boosted Decision Tree Training on GPUs. IPDPS Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi
2018	A*	`conf`	Efficient Support Vector Machine Training Algorithm on GPUs. AAAI Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen
2018	B	`conf`	Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters. ICPP Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He
2018	A	`conf`	FCN-engine: accelerating deconvolutional layers in classic CNN processors. ICCAD Dawen Xu, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, Huawei Li
2018	J	`jnl`	Fair Resource Allocation for Data-Intensive Computing in the Cloud. IEEE Trans. Serv. Comput. Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2018	J	`jnl`	Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. IEEE Trans. Knowl. Data Eng. Xuanhua Shi, Xuan Luo, Junling Liang, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin
2018	Misc	`conf`	G-NET: Effective GPU Sharing in NFV Systems. NSDI Kai Zhang, Bingsheng He, Jiayu Hu, Zeke Wang, Bei Hua, Jiayi Meng, Lishan Yang
2018	B	`conf`	GLP4NN: A Convergence-invariant and Network-agnostic Light-weight Parallelization Framework for Deep Neural Networks on Modern GPUs. ICPP Hao Fu, Shanjiang Tang, Bingsheng He, Ce Yu, Jizhou Sun
2018	A*	`conf`	Hebe: An Order-Oblivious and High-Performance Execution Scheme for Conjunctive Predicates. ICDE Zeke Wang, Kai Zhang, Haihang Zhou, Xue Liu, Bingsheng He
2018	J	`jnl`	JouleMR: Towards Cost-Effective and Green-Aware Data Processing Frameworks. IEEE Trans. Big Data Zhaojie Niu, Bingsheng He, Fangming Liu
2018	J	`jnl`	Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures. ACM Trans. Archit. Code Optim. Hai Jin, Bo Liu, Wenbin Jiang, Yang Ma, Xuanhua Shi, Bingsheng He, Shaofeng Zhao
2018	J	`jnl`	Long-Term Multi-Resource Fairness for Pay-as-you Use Computing Systems. IEEE Trans. Parallel Distributed Syst. Shanjiang Tang, Zhaojie Niu, Bingsheng He, Bu-Sung Lee, Ce Yu
2018	J	`jnl`	Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors. J. Parallel Distributed Comput. Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau
2018	B	`conf`	Query Processing on OpenCL-Based FPGAs: Challenges and Opportunities. ICPADS Johns Paul, Bingsheng He, Chiew Tong Lau
2018	A*	`conf`	RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. ICDE Zeyi Wen, Xingyang Liu, Hongjian Cao, Bingsheng He
2018	J	`jnl`	Scalable GPU Virtualization with Dynamic Sharing of Graphics Memory Space. IEEE Trans. Parallel Distributed Syst. Mochi Xue, Jiacheng Ma, Wentai Li, Kun Tian, Yaozu Dong, Jinyu Wu, Zhengwei Qi, Bingsheng He, Haibing Guan
2018	J	`jnl`	ThunderSVM: A Fast SVM Library on GPUs and CPUs. J. Mach. Learn. Res. Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
2018	J	`jnl`	Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds. IEEE Trans. Cloud Comput. Lei Wei, Chuan Heng Foh, Bingsheng He, Jianfei Cai
2018	B	`conf`	Towards concurrency race debugging: an integrated approach for constraint solving and dynamic slicing. PACT Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu
2018	B	`conf`	gMig: Efficient GPU Live Migration Optimized by Software Dirty Page for Full Virtualization. VEE Jiacheng Ma, Xiao Zheng, Yaozu Dong, Wentai Li, Zhengwei Qi, Bingsheng He, Haibing Guan
2018	B	`conf`	vSensor: leveraging fixed-workload snippets of programs for performance variance detection. PPoPP Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen
2017	J	`jnl`	A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds. IEEE Trans. Parallel Distributed Syst. Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau
2017	J	`jnl`	A Hybrid Logic Block Architecture in FPGA for Holistic Efficiency. IEEE Trans. Circuits Syst. II Express Briefs Tao Luo, Hao Liang, Wei Zhang, Bingsheng He, Douglas L. Maskell
2017	A	`conf`	A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture. CIKM Xuntao Cheng, Bingsheng He, Xiaoli Du, Chiew Tong Lau
2017	J	`jnl`	A Variation-Aware Adaptive Fuzzy Control System for Thermal Management of Microprocessors. IEEE Trans. Very Large Scale Integr. Syst. Yingnan Cui, Wei Zhang, Bingsheng He
2017	J	`jnl`	A distributed in-memory key-value store system on heterogeneous CPU-GPU cluster. VLDB J. Kai Zhang, Kaibo Wang, Yuan Yuan, Lei Guo, Rubao Li, Xiaodong Zhang, Bingsheng He, Jiayu Hu, Bei Hua
2017	A	`conf`	A novel two-stage modular multiplier based on racetrack memory for asymmetric cryptography. ICCAD Tao Luo, Bingsheng He, Wei Zhang, Douglas L. Maskell
2017	J	`jnl`	Accelerating Dynamic Graph Analytics on GPUs. Proc. VLDB Endow. Mo Sha, Yuchen Li, Bingsheng He, Kian-Lee Tan
2017	A*	`conf`	AdaStorm: Resource Efficient Storm with Adaptive Configuration. ICDE Zujian Weng, Qi Guo, Chunkai Wang, Xiaofeng Meng, Bingsheng He
2017	J	`jnl`	An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems. J. Math. Imaging Vis. Bingsheng He, Feng Ma, Xiaoming Yuan
2017	J	`jnl`	Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing. IEEE Trans. Parallel Distributed Syst. Lu Zhang, Xueyan Tang, Bingsheng He
2017	J	`jnl`	Building an Efficient Put-Intensive Key-Value Store with Skip-Tree. IEEE Trans. Parallel Distributed Syst. Yinliang Yue, Bingsheng He, Yuzhe Li, Weiping Wang
2017	A	`conf`	COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications. ICCAD Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He
2017	J	`jnl`	Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming. Math. Oper. Res. Bingsheng He, Min Tao, Xiaoming Yuan
2017	A*	`conf`	DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures. ICDE Kai Zhang, Jiayu Hu, Bingsheng He, Bei Hua
2017	A*	`conf`	Data Management Systems on Future Hardware: Challenges and Opportunities. ICDE Bingsheng He
2017	Misc	`conf`	Dynamic Module Partitioning for Library Based Placement on Heterogeneous FPGAs. FCCM Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam
2017	A	`conf`	Dynamic Partitioning for Library based Placement on Heterogeneous FPGAs (Abstract Only). FPGA Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam
2017	B	`conf`	Dynamic module partitioning for library based placement on heterogeneous FPGAs. RTCSA Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam
2017	A	`conf`	Efficient process mapping in geo-distributed cloud data centers. SC Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai
2017	A	`conf`	FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures. CGO Feng Zhang, Bo Wu, Jidong Zhai, Bingsheng He, Wenguang Chen
2017	A	`conf`	Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. ICS Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo
2017	A*	`conf`	Multi-Query Optimization for Complex Event Processing in SAP ESP. ICDE Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He
2017	B	`conf`	Multi-objective Optimizations in Geo-Distributed Data Analytics Systems. ICPADS Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Chiew Tong Lau
2017	J	`jnl`	Multikernel Data Partitioning With Channel on OpenCL-Based FPGAs. IEEE Trans. Very Large Scale Integr. Syst. Zeke Wang, Johns Paul, Bingsheng He, Wei Zhang
2017	J	`jnl`	Network Performance Aware Optimizations on IaaS Clouds. IEEE Trans. Computers Yifan Gong, Bingsheng He, Dan Li
2017	A	`conf`	On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters. ICDCS Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He
2017	J	`jnl`	On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities. J. Optim. Theory Appl. Caihua Chen, Xiaoling Fu, Bingsheng He, Xiaoming Yuan
2017	J	`jnl`	QoS-Aware Resource Allocation for Video Transcoding in Clouds. IEEE Trans. Circuits Syst. Video Technol. Lei Wei, Jianfei Cai, Chuan Heng Foh, Bingsheng He
2017	A*	`conf`	Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. ICDE Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze
2017	J	`jnl`	Technical Report: Accelerating Dynamic Graph Analytics on GPUs. CoRR Mo Sha, Yuchen Li, Bingsheng He, Kian-Lee Tan
2017	J	`jnl`	Understanding Co-Running Behaviors on Integrated CPU/GPU Architectures. IEEE Trans. Parallel Distributed Syst. Feng Zhang, Jidong Zhai, Bingsheng He, Shuhao Zhang, Wenguang Chen
2016	J	`jnl`	A Performance Debugging Framework for Unnecessary Lock Contentions with Record/Replay Techniques. IEEE Trans. Parallel Distributed Syst. Xiaofei Liao, Long Zheng, Bingsheng He, Song Wu, Hai Jin
2016	—	`conf`	A Study of Big Data Computing Platforms: Fairness and Energy Consumption. IC2E Workshops Zhaojie Niu, Bingsheng He
2016	—	`conf`	A Study of Sorting Algorithms on Approximate Memory. SIGMOD Conference Shuang Chen, Shunning Jiang, Bingsheng He, Xueyan Tang
2016	A	`conf`	A discrete thermal controller for chip-multiprocessors. DATE Yingnan Cui, Wei Zhang, Bingsheng He
2016	A*	`conf`	A performance analysis framework for optimizing OpenCL applications on FPGAs. HPCA Zeke Wang, Bingsheng He, Wei Zhang, Shunning Jiang
2016	—	`conf`	A racetrack memory based in-memory booth multiplier for cryptography application. ASP-DAC Tao Luo, Wei Zhang, Bingsheng He, Douglas L. Maskell
2016	A	`conf`	Accelerating Database Query Processing on OpenCL-based FPGAs (Abstract Only). FPGA Zeke Wang, Hui Yan Cheah, Johns Paul, Bingsheng He, Wei Zhang
2016	J	`jnl`	Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes. SIAM J. Imaging Sci. Bingsheng He, Feng Ma, Xiaoming Yuan
2016	J	`jnl`	Decentralized Thermal-Aware Task Scheduling for Large-Scale Many-Core Systems. IEEE Trans. Very Large Scale Integr. Syst. Yingnan Cui, Wei Zhang, Vivek Chaturvedi, Bingsheng He
2016	J	`jnl`	Dynamic Job Ordering and Slot Configurations for MapReduce Workloads. IEEE Trans. Serv. Comput. Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2016	—	`conf`	Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. SIGMOD Conference Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh
2016	A	`conf`	Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures. SC Shanjiang Tang, Bingsheng He, Shuhao Zhang, Zhaojie Niu
2016	J	`jnl`	F2C: Enabling Fair and Fine-Grained Resource Sharing in Multi-Tenant IaaS Clouds. IEEE Trans. Parallel Distributed Syst. Haikun Liu, Bingsheng He
2016	—	`conf`	GPL: A GPU-based Pipelined Query Processing Engine. SIGMOD Conference Johns Paul, Jiong He, Bingsheng He
2016	J	`jnl`	Library-Based Placement and Routing in FPGAs with Support of Partial Reconfiguration. ACM Trans. Design Autom. Electr. Syst. Fubing Mao, Yi-Chung Chen, Wei Zhang, Hai (Helen) Li, Bingsheng He
2016	J	`jnl`	Melia: A MapReduce Framework on OpenCL-Based FPGAs. IEEE Trans. Parallel Distributed Syst. Zeke Wang, Shuhao Zhang, Bingsheng He, Wei Zhang
2016	—	`conf`	Modular Placement for Interposer based Multi-FPGA Systems. ACM Great Lakes Symposium on VLSI Fubing Mao, Wei Zhang, Bo Feng, Bingsheng He, Yuchun Ma
2016	J	`jnl`	Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds. IEEE Trans. Cloud Comput. Amelie Chi Zhou, Bingsheng He, Cheng Liu
2016	J	`jnl`	NV-Tree: A Consistent and Workload-Adaptive Tree Structure for Non-Volatile Memory. IEEE Trans. Computers Jun Yang, Qingsong Wei, Chundong Wang, Cheng Chen, Khai Leong Yong, Bingsheng He
2016	B	`conf`	Not All Joules are Equal: Towards Energy-Efficient and Green-Aware Data Processing Frameworks. IC2E Zhaojie Niu, Bingsheng He, Fangming Liu
2016	J	`jnl`	On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM. J. Sci. Comput. Bingsheng He, Hong-Kun Xu, Xiaoming Yuan
2016	J	`jnl`	Rank-Aware Dynamic Migrations and Adaptive Demotions for DRAM Power Management. IEEE Trans. Computers Yanchao Lu, Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo
2016	B	`conf`	Relational query processing on OpenCL-based FPGAs. FPL Zeke Wang, Johns Paul, Hui Yan Cheah, Bingsheng He, Wei Zhang
2016	J	`jnl`	Rotated Logging Storage Architectures for Data Centers: Models and Optimizations. IEEE Trans. Computers Yinliang Yue, Bingsheng He, Lei Tian, Hong Jiang, Fang Wang, Dan Feng
2016	J	`jnl`	The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. Math. Program. Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan
2016	J	`jnl`	Thermal-Aware Task Scheduling for 3D-Network-on-Chip: A Bottom to Top Scheme. J. Circuits Syst. Comput. Yingnan Cui, Wei Zhang, Vivek Chaturvedi, Weichen Liu, Bingsheng He
2016	A*	`conf`	VColor: A practical vertex-cut based approach for coloring large graphs. ICDE Yun Peng, Byron Choi, Bingsheng He, Shuigeng Zhou, Ruzhi Xu, Xiaohui Yu
2016	—	`conf`	gScale: Scaling up GPU Virtualization with Dynamic Sharing of Graphics Memory Space. USENIX ATC Mochi Xue, Kun Tian, Yaozu Dong, Jiacheng Ma, Jiajun Wang, Zhengwei Qi, Bingsheng He, Haibing Guan
2015	J	`jnl`	A Combined SDC-SDF Architecture for Normal I/O Pipelined Radix-2 FFT. IEEE Trans. Very Large Scale Integr. Syst. Zeke Wang, Xue Liu, Bingsheng He, Feng Yu
2015	A	`conf`	A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds. HPDC Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau
2015	B	`conf`	A study of data partitioning on OpenCL-based FPGAs. FPL Zeke Wang, Bingsheng He, Wei Zhang
2015	C	`conf`	Energy-Efficient Query Processing on Embedded CPU-GPU Architectures. DaMoN Xuntao Cheng, Bingsheng He, Chiew Tong Lau
2015	—	`conf`	Fast Subgraph Matching on Large Graphs using Graphics Processors. DASFAA (1) Ha Nguyen Tran, Jung-Jae Kim, Bingsheng He
2015	C	`conf`	Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing. CloudCom Zhaojie Niu, Shanjiang Tang, Bingsheng He
2015	J	`jnl`	Generalized alternating direction method of multipliers: new theoretical insights and applications. Math. Program. Comput. Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan
2015	J	`jnl`	Guest Editors' Introduction: Special Issue on Economics and Market Mechanisms for Cloud Computing. IEEE Trans. Cloud Comput. Bharadwaj Veeravalli, Bingsheng He
2015	—	`conf`	Hierarchical Library Based Power Estimator for Versatile FPGAs. MCSoC Hao Liang, Yi-Chung Chen, Tao Luo, Wei Zhang, Hai Li, Bingsheng He
2015	J	`jnl`	Hotplug or Ballooning: A Comparative Study on Dynamic Memory Management Techniques for Virtual Machines. IEEE Trans. Parallel Distributed Syst. Haikun Liu, Hai Jin, Xiaofei Liao, Wei Deng, Bingsheng He, Cheng-Zhong Xu
2015	Misc	`conf`	Improving Data Partitioning Performance on OpenCL-Based FPGAs. FCCM Zeke Wang, Bingsheng He, Wei Zhang
2015	J	`jnl`	Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. Proc. VLDB Endow. Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh
2015	J	`jnl`	Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism. IEEE Trans. Parallel Distributed Syst. Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou
2015	A	`conf`	Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution. SC Yifan Gong, Bingsheng He, Amelie Chi Zhou
2015	J	`jnl`	MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. IEEE Trans. Parallel Distributed Syst. Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Rick Siow Mong Goh
2015	A	`conf`	NV-Tree: Reducing Consistency Cost for NVM-based Single Level Systems. FAST Jun Yang, Qingsong Wei, Cheng Chen, Chundong Wang, Khai Leong Yong, Bingsheng He
2015	J	`jnl`	Network Performance Aware MPI Collective Communication Operations in the Cloud. IEEE Trans. Parallel Distributed Syst. Yifan Gong, Bingsheng He, Jianlong Zhong
2015	J	`jnl`	On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming. SIAM J. Optim. Bingsheng He, Liusheng Hou, Xiaoming Yuan
2015	J	`jnl`	On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers. Numerische Mathematik Bingsheng He, Xiaoming Yuan
2015	A	`conf`	On performance debugging of unnecessary lock contentions on multicore processors: a replay-based approach. CGO Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin
2015	J	`jnl`	On the convergence rate of Douglas-Rachford operator splitting method. Math. Program. Bingsheng He, Xiaoming Yuan
2015	B	`conf`	Optimization of asynchronous graph processing on GPU with hybrid coloring model. PPoPP Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong
2015	J	`jnl`	PCMLogging: Optimizing Transaction Logging and Recovery Performance with PCM. IEEE Trans. Knowl. Data Eng. Shen Gao, Jianliang Xu, Theo Härder, Bingsheng He, Byron Choi, Haibo Hu
2015	A	`conf`	Real-Time In-Memory Checkpointing for Future Hybrid Memory Systems. ICS Shen Gao, Bingsheng He, Jianliang Xu
2015	J	`jnl`	Sensor Placement and Measurement of Wind for Water Quality Studies in Urban Reservoirs. ACM Trans. Sens. Networks Wan Du, Zikun Xing, Mo Li, Bingsheng He, Lloyd Hock Chye Chua, Haiyan Miao
2015	J	`jnl`	Synergy of Dynamic Frequency Scaling and Demotion on DRAM Power Management: Models and Optimizations. IEEE Trans. Computers Yanchao Lu, Bingsheng He, Xueyan Tang, Minyi Guo
2015	B	`conf`	To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures. MASCOTS Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He, Shuhao Zhang
2015	J	`jnl`	VMbuddies: Coordinating Live Migration of Multi-Tier Applications in Cloud Environments. IEEE Trans. Parallel Distributed Syst. Haikun Liu, Bingsheng He
2015	J	`jnl`	Willow: Saving Data Center Network Energy for Network-Limited Flows. IEEE Trans. Parallel Distributed Syst. Dan Li, Yirong Yu, Wu He, Kai Zheng, Bingsheng He
2014	J	`jnl`	A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. SIAM J. Optim. Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan
2014	J	`jnl`	A Survey of Resource Management in Multi-Tier Web Applications. IEEE Commun. Surv. Tutorials Dong Huang, Bingsheng He, Chunyan Miao
2014	J	`jnl`	A Taxonomy and Survey on eScience as a Service in the Cloud. CoRR Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim
2014	—	`conf`	A novel authenticated multi-party key agreement for private cloud. ICC Tuo He, Maode Ma, Wenping Ma, Bingsheng He
2014	J	`jnl`	Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach. Comput. Optim. Appl. Guoyong Gu, Bingsheng He, Xiaoming Yuan
2014	B	`conf`	Demo Abstract: Wind measurements for water quality studies in urban reservoirs. SECON Wan Du, Mo Li, Zikun Xing, Bingsheng He, Lloyd Hock Chye Chua, Zhenjiang Li, Yuanqiang Zheng, Pengfei Zhou
2014	J	`jnl`	DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters. IEEE Trans. Cloud Comput. Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2014	J	`jnl`	FD-Buffer: A Cost-Based Adaptive Buffer Replacement Algorithm for FlashMemory Devices. IEEE Trans. Computers Sai Tung On, Shen Gao, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu
2014	A	`conf`	Finding Constant from Change: Revisiting Network Performance Aware Optimizations on IaaS Clouds. SC Yifan Gong, Bingsheng He, Dan Li
2014	—	`ch.`	GPU-Accelerated Cloud Computing for Data-Intensive Applications. Cloud Computing for Data-Intensive Applications Baoxue Zhao, Jianlong Zhong, Bingsheng He, Qiong Luo, Wenbin Fang, Naga K. Govindaraju
2014	J	`jnl`	In-Cache Query Co-Processing on Coupled CPU-GPU Architectures. Proc. VLDB Endow. Jiong He, Shuhao Zhang, Bingsheng He
2014	J	`jnl`	Inexact Alternating-Direction-Based Contraction Methods for Separable Linearly Constrained Convex Optimization. J. Optim. Theory Appl. Guoyong Gu, Bingsheng He, Junfeng Yang
2014	J	`jnl`	Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling. IEEE Trans. Parallel Distributed Syst. Jianlong Zhong, Bingsheng He
2014	A	`conf`	Long-term resource fairness: towards economic fairness on pay-as-you-use computing systems. ICS Shanjiang Tang, Bu-Sung Lee, Bingsheng He, Haikun Liu
2014	J	`jnl`	Medusa: A Parallel Graph Processing System on Graphics Processors. SIGMOD Rec. Jianlong Zhong, Bingsheng He
2014	J	`jnl`	Medusa: Simplified Graph Processing on GPUs. IEEE Trans. Parallel Distributed Syst. Jianlong Zhong, Bingsheng He
2014	—	`ch.`	Network Performance Aware Graph Partitioning for Large Graph Processing Systems in the Cloud. Large Scale and Big Data Rishan Chen, Xuetian Weng, Bingsheng He, Byron Choi, Mao Yang
2014	J	`jnl`	On Performance Debugging of Unnecessary Lock Contentions on Multicore Processors: A Replay-based Approach. CoRR Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin
2014	J	`jnl`	On the Comput. Optim. Appl. Xingju Cai, Guoyong Gu, Bingsheng He
2014	J	`jnl`	On the Convergence of Primal-Dual Hybrid Gradient Algorithm. SIAM J. Imaging Sci. Bingsheng He, Yanfei You, Xiaoming Yuan
2014	—	`conf`	Optimal sensor placement and measurement of wind for water quality studies in urban reservoirs. IPSN Wan Du, Zikun Xing, Mo Li, Bingsheng He, Lloyd Hock Chye Chua, Haiyan Miao
2014	A	`conf`	Pipelined Compaction for the LSM-Tree. IPDPS Zigang Zhang, Yinliang Yue, Bingsheng He, Jin Xiong, Mingyu Chen, Lixin Zhang, Ninghui Sun
2014	J	`jnl`	Rank-Aware Dynamic Migrations and Adaptive Demotions for DRAM Power Management. CoRR Yanchao Lu, Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo
2014	A	`conf`	Reciprocal Resource Fairness: Towards Cooperative Multiple-Resource Fair Sharing in IaaS Clouds. SC Haikun Liu, Bingsheng He
2014	C	`conf`	Simplified Resource Provisioning for Workflows in IaaS Clouds. CloudCom Amelie Chi Zhou, Bingsheng He
2014	—	`conf`	Thermal-aware task scheduling for 3D-network-on-chip: A Bottom-to-Top scheme. ISIC Yingnan Cui, Wei Zhang, Vivek Chaturvedi, Weichen Liu, Bingsheng He
2014	C	`conf`	Towards Economic Fairness for Big Data Processing in Pay-as-You-Go Cloud Computing. CloudCom Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2014	—	`conf`	Towards automatic partial reconfiguration in FPGAs. FPT Fubing Mao, Wei Zhang, Bingsheng He
2014	—	`conf`	Towards multi-resource physical machine provisioning for IaaS clouds. ICC Lei Wei, Bingsheng He, Chuan Heng Foh
2014	J	`jnl`	Transformation-Based Monetary CostOptimizations for Workflows in the Cloud. IEEE Trans. Cloud Comput. Amelie Chi Zhou, Bingsheng He
2014	J	`jnl`	When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities. Proc. VLDB Endow. Bingsheng He
2013	—	`conf`	A Framework for Analyzing Monetary Cost of Database Systems in the Cloud. WAIM Changbing Chen, Bingsheng He
2013	J	`jnl`	A customized proximal point algorithm for convex minimization with linear constraints. Comput. Optim. Appl. Bingsheng He, Xiaoming Yuan, Wenxing Zhang
2013	A*	`conf`	Brief announcement: on minimum interaction time for continuous distributed interactive computing. PODC Lu Zhang, Xueyan Tang, Bingsheng He
2013	C	`conf`	Dynamic slot allocation technique for MapReduce clusters. CLUSTER Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2013	J	`jnl`	Forward-backward-based descent methods for composite variational inequalities. Optim. Methods Softw. Bingsheng He, Xiaoming Yuan
2013	A	`conf`	Green Databases Through Integration of Renewable Energy. CIDR Cheng Chen, Bingsheng He, Xueyan Tang, Changbing Chen, Yubao Liu
2013	J	`jnl`	Handling partitioning skew in MapReduce using LEEN. Peer-to-Peer Netw. Appl. Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu
2013	J	`jnl`	Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling CoRR Jianlong Zhong, Bingsheng He
2013	—	`conf`	MROrder: Flexible Job Ordering Optimization for Online MapReduce Workloads. Euro-Par Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2013	J	`jnl`	OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures. Proc. VLDB Endow. Shuhao Zhang, Jiong He, Bingsheng He, Mian Lu
2013	J	`jnl`	Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor. CoRR Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
2013	—	`conf`	Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. IEEE BigData Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
2013	J	`jnl`	Parallel Graph Processing on Graphics Processors Made Easy. Proc. VLDB Endow. Jianlong Zhong, Bingsheng He
2013	J	`jnl`	Probabilistic Scheduling of Scientific Workflows in Dynamic Cloud Environments. CoRR Amelie Chi Zhou, Bingsheng He, Cheng Liu
2013	J	`jnl`	Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. CoRR Jiong He, Mian Lu, Bingsheng He
2013	J	`jnl`	Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. Proc. VLDB Endow. Jiong He, Mian Lu, Bingsheng He
2013	C	`conf`	Simulation of Information Propagation over Complex Networks: Performance Studies on Multi-GPU. DS-RT Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He
2013	Misc	`conf`	Simulation studies of viral advertisement diffusion on multi-GPU. WSC Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He
2013	—	`conf`	Spectral Decomposition for Optimal Graph Index Prediction. PAKDD (1) Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He
2013	—	`conf`	Towards GPU-Accelerated Large-Scale Graph Processing in the Cloud. CloudCom (1) Jianlong Zhong, Bingsheng He
2012	B	`conf`	A Map-Reduce Based Framework for Heterogeneous Processing Element Cluster Environments. CCGRID Yu Shyang Tan, Bu-Sung Lee, Bingsheng He, Roy H. Campbell
2012	J	`jnl`	Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming. SIAM J. Optim. Bingsheng He, Min Tao, Xiaoming Yuan
2012	J	`jnl`	An Accelerated Inexact Proximal Point Algorithm for Convex Minimization. J. Optim. Theory Appl. Bingsheng He, Xiaoming Yuan
2012	B	`conf`	An overview of CMPI: network performance aware MPI in the cloud. PPoPP Yifan Gong, Bingsheng He, Jianlong Zhong
2012	B	`conf`	An overview of Medusa: simplified graph processing on GPUs. PPoPP Jianlong Zhong, Bingsheng He
2012	J	`jnl`	Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective. SIAM J. Imaging Sci. Bingsheng He, Xiaoming Yuan
2012	J	`jnl`	Flag Commit: Supporting Efficient Transaction Recovery in Flash-Based DBMSs. IEEE Trans. Knowl. Data Eng. Sai Tung On, Jianliang Xu, Byron Choi, Haibo Hu, Bingsheng He
2012	B	`conf`	GPGPU for Real-Time Data Analytics. ICPADS Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh
2012	C	`conf`	Green-aware workload scheduling in geographically distributed data centers. CloudCom Changbing Chen, Bingsheng He, Xueyan Tang
2012	Misc	`conf`	HPC Simulations of Information Propagation Over Social Networks. ICCS Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He
2012	—	`conf`	Improving large graph processing on partitioned graphs in the cloud. SoCC Rishan Chen, Mao Yang, Xuetian Weng, Byron Choi, Bingsheng He, Xiaoming Li
2012	B	`conf`	Maestro: Replica-Aware Map Scheduling for MapReduce. CCGRID Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu
2012	J	`jnl`	On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. SIAM J. Numer. Anal. Bingsheng He, Xiaoming Yuan
2012	J	`jnl`	Proximal-like contraction methods for monotone variational inequalities in a unified framework I: Effective quadruplet and primary methods. Comput. Optim. Appl. Bingsheng He, Li-Zhi Liao, Xiang Wang
2012	J	`jnl`	Proximal-like contraction methods for monotone variational inequalities in a unified framework II: general methods and numerical experiments. Comput. Optim. Appl. Bingsheng He, Li-Zhi Liao, Xiang Wang
2012	A	`conf`	RAMZzz: rank-aware dram power management with dynamic migrations and demotions. SC Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo
2012	—	`conf`	Speedup for Multi-Level Parallel Computing. IPDPS Workshops Shanjiang Tang, Bu-Sung Lee, Bingsheng He
2011	B	`conf`	Adaptive Disk I/O Scheduling for MapReduce in Virtualized Environment. ICPP Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Song Wu
2011	Misc	`conf`	GPU-Assisted Buffer Management. ICCS Jianlong Zhong, Bingsheng He
2011	—	`conf`	GViewer: GPU-Accelerated Graph Visualization and Mining. SocInfo Jianlong Zhong, Bingsheng He
2011	J	`jnl`	High-Throughput Transaction Executions on Graphics Processors CoRR Bingsheng He, Jeffrey Xu Yu
2011	J	`jnl`	High-throughput transaction executions on graphics processors. Proc. VLDB Endow. Bingsheng He, Jeffrey Xu Yu
2011	J	`jnl`	Mars: Accelerating MapReduce with Graphics Processors. IEEE Trans. Parallel Distributed Syst. Wenbin Fang, Bingsheng He, Qiong Luo, Naga K. Govindaraju
2011	—	`conf`	Operation-aware buffer management in flash-based systems. SIGMOD Conference Yanfei Lv, Bin Cui, Bingsheng He, Xuexuan Chen
2011	A	`conf`	PCMLogging: reducing transaction logging overhead with PCM. CIKM Shen Gao, Jianliang Xu, Bingsheng He, Byron Choi, Haibo Hu
2011	J	`jnl`	Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods. SIAM J. Matrix Anal. Appl. Bingsheng He, Minghua Xu, Xiaoming Yuan
2011	—	`conf`	Towards Pay-As-You-Consume Cloud Computing. IEEE SCC Shadi Ibrahim, Bingsheng He, Hai Jin
2010	—	`conf`	Comet: batched stream processing for data intensive distributed computing. SoCC Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou
2010	J	`jnl`	Database Compression on Graphics Processors. Proc. VLDB Endow. Wenbin Fang, Bingsheng He, Qiong Luo
2010	—	`conf`	Distributed Systems Meet Economics: Pricing in the Cloud. HotCloud Hongyi Wang, Qingfeng Jing, Rishan Chen, Bingsheng He, Zhengping Qian, Lidong Zhou
2010	A	`conf`	FD-buffer: a buffer manager for databases on flash disks. CIKM Sai Tung On, Yinan Li, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu
2010	C	`conf`	LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud. CloudCom Shadi Ibrahim, Hai Jin, Lu Lu, Song Wu, Bingsheng He, Li Qi
2010	—	`conf`	Large graph processing in the cloud. SIGMOD Conference Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang
2010	J	`jnl`	Solving a class of constrained 'black-box' inverse variational inequalities. Eur. J. Oper. Res. Bingsheng He, Xiaozheng He, Henry X. Liu
2010	J	`jnl`	Steplengths in the extragradient type methods. J. Comput. Appl. Math. Xiang Wang, Bingsheng He, Li-Zhi Liao
2010	C	`conf`	Supporting extended precision on graphics processors. DaMoN Mian Lu, Bingsheng He, Qiong Luo
2010	J	`jnl`	Tree Indexing on Solid State Drives. Proc. VLDB Endow. Yinan Li, Bingsheng He, Jun Yang, Qiong Luo, Ke Yi
2009	B	`conf`	A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs. DASFAA Linhong Zhu, Byron Choi, Bingsheng He, Jeffrey Xu Yu, Wee Keong Ng
2009	C	`conf`	Frequent itemset mining on graphics processors. DaMoN Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo
2009	J	`jnl`	Parallel splitting augmented Lagrangian methods for monotone structured variational inequalities. Comput. Optim. Appl. Bingsheng He
2009	J	`jnl`	Relational query coprocessing on graphics processors. ACM Trans. Database Syst. Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
2009	J	`jnl`	Self-adaptive projection method for co-coercive variational inequalities. Eur. J. Oper. Res. Bingsheng He, Xiaozheng He, Henry X. Liu, Ting Wu
2009	B	`conf`	Stack-based parallel recursion on graphics processors. PPoPP Ke Yang, Bingsheng He, Qiong Luo, Pedro V. Sander, Jiaoying Shi
2009	A*	`conf`	Tree Indexing on Flash Disks. ICDE Yinan Li, Bingsheng He, Qiong Luo, Ke Yi
2009	A	`conf`	Wave Computing in the Cloud. HotOS Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou
2008	J	`jnl`	Cache-oblivious databases: Limitations and opportunities. ACM Trans. Database Syst. Bingsheng He, Qiong Luo
2008	B	`conf`	Mars: a MapReduce framework on graphics processors. PACT Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govindaraju, Tuyong Wang
2008	—	`conf`	Relational joins on graphics processors. SIGMOD Conference Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
2007	C	`conf`	A general framework for improving query processing performance on multi-level memory hierarchies. DaMoN Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang
2007	J	`jnl`	Adaptive Index Utilization in Memory-Resident Structural Joins. IEEE Trans. Knowl. Data Eng. Bingsheng He, Qiong Luo, Byron Choi
2007	J	`jnl`	An inexact logarithmic-quadratic proximal augmented Lagrangian method for a class of constrained variational inequalities. Math. Methods Oper. Res. Min Li, H. Shao, Bingsheng He
2007	A	`conf`	Cache-Oblivious Query Processing. CIDR Bingsheng He, Qiong Luo
2007	—	`conf`	EaseDB: a cache-oblivious in-memory query processor. SIGMOD Conference Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang
2007	A	`conf`	Efficient gather and scatter operations on graphics processors. SC Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith
2007	—	`conf`	GPUQP: query co-processing using graphics processors. SIGMOD Conference Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
2007	C	`conf`	In-memory grid files on graphics processors. DaMoN Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander, Jiaoying Shi
2006	J	`jnl`	A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities. Comput. Optim. Appl. Bingsheng He, Ya Xu, Xiao-Ming Yuan
2006	A	`conf`	A Quantitative Summary of XML Structures. ER Zi Lin, Bingsheng He, Byron Choi
2006	J	`jnl`	Cache-Conscious Automata for XML Filtering. IEEE Trans. Knowl. Data Eng. Bingsheng He, Qiong Luo, Byron Choi
2006	A	`conf`	Cache-oblivious nested-loop joins. CIKM Bingsheng He, Qiong Luo
2005	J	`jnl`	A Relaxed Approximate Proximal Point Algorithm. Ann. Oper. Res. Zhenhua Yang, Bingsheng He
2005	A*	`conf`	Cache-Conscious Automata for XML Filtering. ICDE Bingsheng He, Qiong Luo, Byron Choi
2004	J	`jnl`	A modified augmented Lagrangian method for a class of monotone variational inequalities. Eur. J. Oper. Res. Bingsheng He, Hai Yang, Chen-Song Zhang
2004	C	`conf`	Accurate Emulation of Wireless Sensor Networks. NPC Hejun Wu, Qiong Luo, Pei Zheng, Bingsheng He, Lionel M. Ni
2004	J	`jnl`	Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities. Comput. Optim. Appl. Bingsheng He, Xiaoming Yuan, Jason J. Z. Zhang
2004	—	`conf`	MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks. DMSN Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu, Wenwei Xue
2004	C	`conf`	The HKUST Frog Pond - A Case Study of Sensory Data Analysis. NPC Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo
2003	J	`jnl`	Self-adaptive operator splitting methods for monotone variational inequalities. Numerische Mathematik Bingsheng He, Li-Zhi Liao, Shengli Wang
2002	J	`jnl`	A new inexact alternating directions method for monotone variational inequalities. Math. Program. Bingsheng He, Li-Zhi Liao, Deren Han, Hai Yang
2000	J	`jnl`	A modified alternating direction method for convex minimization problems. Appl. Math. Lett. Bingsheng He, Jing Zhou
2000	J	`jnl`	A neural network model for monotone linear asymmetric variational inequalities. IEEE Trans. Neural Networks Learn. Syst. Bingsheng He, Hai Yang
1999	J	`jnl`	Inexact implicit methods for monotone general variational inequalities. Math. Program. Bingsheng He
1998	J	`jnl`	Some convergence properties of a method of multipliers for linearly constrained monotone variational inequalities. Oper. Res. Lett. Bingsheng He, Hai Yang
1994	J	`jnl`	A new method for a class of linear variational inequalities. Math. Program. Bingsheng He
1986	—	`—`	Grosse nichtlineare Optimierungsprobleme mit "Box-Constraints" und Gleichungsrestriktionen. Bingsheng He