Rong Gu - RankMe

98 papers A* 12A 4B 8Journal 54Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Privacy-Preserving Auction for Task Offloading and Resource Allocation in UAV-Assisted MEC. IEEE Trans. Mob. Comput. Jiajie Xu, Xiaolong Xu, Guangming Cui, Muhammad Bilal, Rong Gu, Wanchun Dou, Arumugam Nallanathan
2026	J	`jnl`	Erratum: Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation. ACM Trans. Inf. Syst. Lianyong Qi, Jianye Xie, Chunhua Hu, Xiaolong Xu, Haolong Xiang, Haipeng Dai, Rong Gu, Xuyun Zhang, Wanchun Dou
2026	—	`conf`	Fine-grained and Non-intrusive LLM Training Monitoring via Microsecond-level Traffic Measurement. ASPLOS (2) Yibo Xiao, Hao Zheng, Haifeng Sun, Qingkai Meng, Jiong Duan, Xiaohe Hu, Rong Gu, Guihai Chen, Chen Tian
2026	J	`jnl`	Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation. ACM Trans. Inf. Syst. Lianyong Qi, Jianye Xie, Chunhua Hu, Xiaolong Xu, Haolong Xiang, Haipeng Dai, Rong Gu, Xuyun Zhang, Wanchun Dou
2026	J	`jnl`	Rail: ReArranging Inter-GPU Links for GPU-Centric Clusters. IEEE Trans. Netw. Haixin Nan, Jun Xu, Peirui Cao, Zhaochen Zhang, Yizhi Wang, Zhehao Lin, Yuhang Li, Chengyuan Huang, Wentao Fan, Xiaohu Xu, Zhongming Ji, Shengju Zhang, Dongxu Wang, Lingkun Meng, Rong Gu, Guihai Chen, Chen Tian
2026	A	`conf`	Scalable RDMA-accelerated Distributed Locks with Shared Stream Abstraction. EuroSys Miao Cai, Junru Shen, Xiaojian Liao, Rong Gu, Yanchao Zhao, Hao Han, Bing Chen, Baoliu Ye
2025	J	`jnl`	Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding. CoRR Zhibin Wang, Zhonghui Zhang, Yuhang Zhou, Zibo Wang, Mo Zhou, Peng Jiang, Weilin Cai, Chengying Huan, Rong Gu, Sheng Zhong, Chen Tian
2025	J	`jnl`	Adaptive Rescheduling in Prefill-Decode Disaggregated LLM Inference. CoRR Zhibin Wang, Zetao Hong, Xue Li, Zibo Wang, Shipeng Li, Qingkai Meng, Qing Wang, Chengying Huan, Rong Gu, Sheng Zhong, Chen Tian
2025	J	`jnl`	BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering. CoRR Guanghui Zhu, Xin Fang, Lei Wang, Wenzhong Chen, Rong Gu, Chunfeng Yuan, Yihua Huang
2025	J	`jnl`	Chameleon: Taming Dynamic Operator Sequences for Memory-Intensive LLM Training. CoRR Zibo Wang, Yuhang Zhou, Zhibin Wang, Shipeng Li, Xinjing Huang, Chendong Cai, Bingxu Mu, Yuqing Sun, Zhiheng Hu, Bin She, Shu You, Guanghuan Fang, Rong Gu, Wanchun Dou, Guihai Chen, Chen Tian
2025	J	`jnl`	Chordless Structure: A Pathway to Simple and Expressive GNNs. CoRR Hongxu Pan, Shuxian Hu, Mo Zhou, Zhibin Wang, Rong Gu, Chen Tian, Kun Yang, Sheng Zhong
2025	J	`jnl`	Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving. CoRR Zhibin Wang, Shipeng Li, Xue Li, Yuhang Zhou, Zhonghui Zhang, Zibo Wang, Rong Gu, Chen Tian, Kun Yang, Sheng Zhong
2025	J	`jnl`	FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. CoRR Zhibin Wang, Rui Ning, Chao Fang, Zhonghui Zhang, Xi Lin, Shaobo Ma, Mo Zhou, Xue Li, Zhongfeng Wang, Chengying Huan, Rong Gu, Kun Yang, Guihai Chen, Sheng Zhong, Chen Tian
2025	J	`jnl`	Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine. Proc. ACM Manag. Data Chengying Huan, Zhengyi Yang, Haoshen Yang, Shaonan Ma, Rong Gu, Fang Xi, Yongchao Liu, Guihai Chen, Chen Tian
2025	J	`jnl`	HotPrefix: Hotness-Aware KV Cache Scheduling for Efficient Prefix Sharing in LLM Inference Systems. Proc. ACM Manag. Data Yuhang Li, Rong Gu, Chengying Huan, Zhibin Wang, Renjie Yao, Chen Tian, Guihai Chen
2025	J	`jnl`	Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding. Proc. ACM Manag. Data Feifan Liu, Rong Gu, Meng Li, Haipeng Dai, Baohan Wang, Jie Tao, Dian Shen
2025	A*	`conf`	Local-to-Cloud Database Synchronization via Fine-Grained Hybrid Compression. ICDE Guoying Zhu, Haipeng Dai, Kang Yuan, Qian Wang, Lida Chen, Zhenghong Luo, Meng Li, Rong Gu, Xizi Ni, Hua Fan, Dachao Fu, Wenchao Zhou
2025	J	`jnl`	Odyssey: Adaptive Policy Selection for Resilient Distributed Training. CoRR Yuhang Zhou, Zhibin Wang, Peng Jiang, Haoran Xia, Junhe Lu, Qianyu Jiang, Rong Gu, Hengxi Xu, Xinjing Huang, Guanghuan Fang, Zhiheng Hu, Jingyi Zhang, Yongjin Cai, Jian He, Chen Tian
2025	J	`jnl`	OrchANN: A Unified I/O Orchestration Framework for Skewed Out-of-Core Vector Search. CoRR Chengying Huan, Lizheng Chen, Zhengyi Yang, Shaonan Ma, Rong Gu, Renjie Yao, Zhibin Wang, Mingxing Zhang, Fang Xi, Jie Tao, Gang Zhang, Guihai Chen, Chen Tian
2025	J	`jnl`	Parallel Wormhole Filters: High-Performance Approximate Membership Query Data Structures for Persistent Memory. IEEE Trans. Parallel Distributed Syst. Hancheng Wang, Haipeng Dai, Shusen Chen, Meng Li, Rong Gu, Youyou Lu, Chengxun Wu, Jiaqi Zheng, Lexi Xu, Guihai Chen
2025	J	`jnl`	Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving. CoRR Chengying Huan, Ziheng Meng, Yongchao Liu, Zhengyi Yang, Yun Zhu, Yue Yun, Shipeng Li, Rong Gu, Xiabao Wu, Haitao Zhang, Chuntao Hong, Shaonan Ma, Guihai Chen, Chen Tian
2025	J	`jnl`	Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms. Big Data Min. Anal. Xu Huang, Rong Gu, Yihua Huang
2025	J	`jnl`	VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity. Proc. ACM Manag. Data Meng Li, Huayi Chai, Siqiang Luo, Haipeng Dai, Rong Gu, Jiaqi Zheng, Guihai Chen
2024	J	`jnl`	A Generic Framework for Finding Special Quadratic Elements in Data Streams. IEEE/ACM Trans. Netw. Jiaqian Liu, Haipeng Dai, Rui Xia, Meng Li, Ran Ben Basat, Rui Li, Rong Gu, Jiaqi Zheng, Guihai Chen
2024	J	`jnl`	A Survey of Multi-Dimensional Indexes: Past and Future Trends. IEEE Trans. Knowl. Data Eng. Mingxin Li, Hancheng Wang, Haipeng Dai, Meng Li, Chengliang Chai, Rong Gu, Feng Chen, Zhiyuan Chen, Shuaituan Li, Qizhi Liu, Guihai Chen
2024	A*	`conf`	ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes. KDD Shizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Jingsong Dai, Rong Gu, Guihai Chen
2024	J	`jnl`	Bamboo Filters: Make Resizing Smooth and Adaptive. IEEE/ACM Trans. Netw. Hancheng Wang, Haipeng Dai, Shusen Chen, Meng Li, Rong Gu, Huayi Chai, Jiaqi Zheng, Zhiyuan Chen, Shuaituan Li, Xianjun Deng, Guihai Chen
2024	—	`conf`	ColdPurge: Effecient Metadata Cache Cleaning via Accurate Online Data Hotness Tracking. Middleware Industry Yuhang Li, Rong Gu, Simian Li, Baohan Wang, Wei Yu
2024	J	`jnl`	Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression. IEEE/ACM Trans. Netw. Rong Gu, Shulin Wang, Haipeng Dai, Xiaofei Chen, Zhaokang Wang, Wenjie Bao, Jiaqi Zheng, Yaofeng Tu, Yihua Huang, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Guihai Chen
2024	J	`jnl`	Joint Deployment of Truck-Drone Systems for Camera-Based Object Monitoring. IEEE Trans. Mob. Comput. Lihao Wang, Weijun Wang, Haipeng Dai, Yuben Qu, Jiaqi Zheng, Rong Gu, Guihai Chen, Xiaoming Fu
2024	J	`jnl`	Placing Wireless Chargers With Multiple Antennas. IEEE Trans. Mob. Comput. Haipeng Dai, Yikang Zhang, Weijun Wang, Rong Gu, Yuben Qu, Chi Lin, Lijie Xu, Jiaqi Zheng, Wanchun Dou, Guihai Chen
2024	J	`jnl`	Revisiting SLO and Goodput Metrics in LLM Serving. CoRR Zhibin Wang, Shipeng Li, Yuhang Zhou, Xue Li, Rong Gu, Nguyen Cam-Tu, Chen Tian, Sheng Zhong
2024	A*	`conf`	The Reinforcement Cuckoo Filter. INFOCOM Meng Li, Wenqi Luo, Haipeng Dai, Huayi Chai, Rong Gu, Xiaoyu Wang, Guihai Chen
2024	A	`conf`	Wormhole Filters: Caching Your Hash on Persistent Memory. EuroSys Hancheng Wang, Haipeng Dai, Rong Gu, Youyou Lu, Jiaqi Zheng, Jingsong Dai, Shusen Chen, Zhiyuan Chen, Shuaituan Li, Guihai Chen
2023	J	`jnl`	A Pareto optimal Bloom filter family with hash adaptivity. VLDB J. Meng Li, Rongbiao Xie, Deyi Chen, Haipeng Dai, Rong Gu, He Huang, Wanchun Dou, Guihai Chen
2023	—	`conf`	Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. USENIX ATC Rong Gu, Simian Li, Haipeng Dai, Hancheng Wang, Yili Luo, Bin Fan, Ran Ben Basat, Ke Wang, Zhenyu Song, Shouwei Chen, Beinan Wang, Yihua Huang, Guihai Chen
2023	J	`jnl`	Coral: federated query join order optimization based on deep reinforcement learning. World Wide Web (WWW) Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang
2023	—	`conf`	Distantly Supervised Entity Linking with Selection Consistency Constraint. DASFAA (2) Haipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu
2023	J	`jnl`	High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms. IEEE Trans. Parallel Distributed Syst. Rong Gu, Zhihao Xu, Yang Che, Xu Wang, Haipeng Dai, Kai Zhang, Bin Fan, Haojun Hou, Li Yi, Yu Ding, Yihua Huang, Guihai Chen
2023	B	`conf`	Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach. IWQoS Rong Gu, Jiajia Wei, Xu Wang, Jiahui Wang, Haipeng Dai, Jiaqi Zheng, Baolong Mao, Yihua Huang
2023	A*	`conf`	MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores. ICDM Zhenghong Luo, Qian Wang, Haomai Wang, Tianshan Qu, Meng Li, Rong Gu, Haipeng Dai
2023	J	`jnl`	Placing Wireless Chargers With Limited Mobility. IEEE Trans. Mob. Comput. Haipeng Dai, Xiaoyu Wang, Xuzhen Lin, Rong Gu, Shuyu Shi, Yunhuai Liu, Wanchun Dou, Guihai Chen
2023	—	`conf`	Raven: Benchmarking Monetary Expense and Query Efficiency of OLAP Engines on the Cloud. DASFAA (4) Tongyu Wu, Rong Gu, Yang Li, Hongbin Ma, Yi Chen, Ying Zhu, Xiaoxiang Yu, Tengting Xu, Yihua Huang
2023	J	`jnl`	SAFE: Service Availability via Failure Elimination Through VNF Scaling. IEEE/ACM Trans. Netw. Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Weijun Wang, Guihai Chen
2023	J	`jnl`	Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. IEEE Trans. Knowl. Data Eng. Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen
2023	J	`jnl`	ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. Proc. VLDB Endow. Rong Gu, Han Li, Haipeng Dai, Wenjie Huang, Jie Xue, Meng Li, Jiaqi Zheng, Haoran Cai, Yihua Huang, Guihai Chen
2023	A*	`conf`	Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. INFOCOM Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen
2023	A*	`conf`	Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries. ICDM Haipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng, Meng Li, Rong Gu, Chen Tian, Wanchun Dou
2022	A*	`conf`	Bamboo Filters: Make Resizing Smooth. ICDE Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng, Guihai Chen
2022	B	`conf`	DUET: Joint Deployment of Trucks and Drones for Object Monitoring. IWQoS Lihao Wang, Weijun Wang, Haipeng Dai, Jiaqi Zheng, Bangbang Ren, Shuyu Shi, Rong Gu
2022	—	`conf`	Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. HPCC/DSS/SmartCity/DependSys Rong Gu, Xu Huang, Haipeng Dai, Xiaoyu Geng, Xiaofei Chen, Yihua Huang, Fu Xiao, Guihai Chen
2022	A*	`conf`	Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. ICDE Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang
2022	J	`jnl`	Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. IEEE Trans. Parallel Distributed Syst. Rong Gu, Yuquan Chen, Shuai Liu, Haipeng Dai, Guihai Chen, Kai Zhang, Yang Che, Yihua Huang
2022	—	`conf`	Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. USENIX ATC Rong Gu, Han Yin, Weichang Zhong, Chunfeng Yuan, Yihua Huang
2022	J	`jnl`	Octopus-DF: Unified DataFrame-based cross-platform data analytic system. Parallel Comput. Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang, Yang Che, Kai Zhang, Yihua Huang
2022	B	`conf`	Placing Wireless Chargers with Multiple Antennas. SECON Haipeng Dai, Yue Zhao, Weijun Wang, Rong Gu, Yuben Qu, Chi Lin, Lijie Xu, Wanchun Dou
2022	A*	`conf`	Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. WWW Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen
2022	—	`conf`	Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization. CSE Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang
2022	J	`jnl`	VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems. IEEE Trans. Netw. Sci. Eng. Zhe Peng, Jianliang Xu, Xiaowen Chu, Shang Gao, Yuan Yao, Rong Gu, Yuzhe Tang
2021	J	`jnl`	Alchemy: Distributed financial quantitative analysis system with high-level programming model. Softw. Pract. Exp. Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs. Neurocomputing Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang
2021	A*	`conf`	Hash Adaptive Bloom Filter. ICDE Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu, He Huang, Haipeng Dai, Guihai Chen
2021	J	`jnl`	Hash Adaptive Bloom Filter. CoRR Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu, He Huang, Haipeng Dai, Guihai Chen
2021	J	`jnl`	Improving in-memory file system reading performance by fine-grained user-space cache mechanisms. J. Syst. Archit. Rong Gu, Chongjie Li, Haipeng Dai, Yili Luo, Xiaolong Xu, Shaohua Wan, Yihua Huang
2021	J	`jnl`	SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. J. Parallel Distributed Comput. Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. IEEE Trans. Parallel Distributed Syst. Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang
2021	J	`jnl`	Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Trans. Parallel Distributed Syst. Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, Yihua Huang
2021	J	`jnl`	VSIM: Distributed local structural vertex similarity calculation on big graphs. J. Parallel Distributed Comput. Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu, Yihua Huang
2020	J	`jnl`	Distributed Subgraph Enumeration via Backtracking-based Framework. CoRR Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang
2020	J	`jnl`	Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization. CoRR Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	J	`jnl`	Adaptive cache policy scheduling for big data applications on distributed tiered storage system. Concurr. Comput. Pract. Exp. Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang
2019	A*	`conf`	BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. ICDE Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang
2019	A	`conf`	BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. IPDPS Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, Xuandong Li
2019	J	`jnl`	DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms. Parallel Comput. Guanghui Zhu, Chen Guo, Le Lu, Zhi Huang, Chunfeng Yuan, Rong Gu, Yihua Huang
2019	J	`jnl`	Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. IEEE Trans. Parallel Distributed Syst. Guanghui Zhu, Qian Wang, Qiwei Tang, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	J	`jnl`	ForestLayer: Efficient training of deep forests on distributed task-parallel platforms. J. Parallel Distributed Comput. Guanghui Zhu, Qiu Hu, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	A*	`conf`	HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-way Join Query. ICDE Guanghui Zhu, Xiaoqi Wu, Liangliang Yin, Haogang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	B	`conf`	Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. ICPADS Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang
2019	B	`conf`	SAFE: Service Availability via Failure Elimination Through VNF Scaling. ICPP Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Guihai Chen
2018	B	`conf`	Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. ICPADS Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan, Yihua Huang
2018	J	`jnl`	Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. IEEE Trans. Parallel Distributed Syst. Rong Gu, Yu-Fa Zhou, Zhaokang Wang, Chunfeng Yuan, Yihua Huang
2018	B	`conf`	Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark. ICPADS Rong Gu, Min Chen, Wenjia Yang, Chunfeng Yuan, Yihua Huang
2017	B	`conf`	AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform. ICPADS Guanghui Zhu, Xiaoqi Wu, Rong Gu, Chunfeng Yuan, Yihua Huang
2017	J	`jnl`	Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Trans. Parallel Distributed Syst. Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, Yihua Huang
2016	—	`conf`	A Time-Cost Based Automatic Scheduling Framework for Matrix Computation on Various Distributed Computing Platforms. IPDPS Workshops Rong Gu, Zhiqiang Liu, Chunfeng Yuan, Yihua Huang
2016	—	`conf`	Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies. Trustcom/BigDataSE/ISPA Peng Shu, Rong Gu, Qianhao Dong, Chunfeng Yuan, Yihua Huang
2015	A	`conf`	Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. IPDPS Rong Gu, Shanyong Wang, Fangfang Wang, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	Efficient large scale distributed matrix computation with spark. IEEE BigData Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yin, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data. ICA3PP (2) Rong Gu, Lei Jin, Yongwei Wu, Jingying Qu, Tao Wang, Xiaojun Wang, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics. COMPSAC Workshops Rong Gu, Yun Tang, Qianhao Dong, Zhaokang Wang, Zhiqiang Liu, Shuai Wang, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP (4) Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang
2014	—	`conf`	Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability. IEEE BigData Rong Gu, Wei Hu, Yihua Huang
2014	J	`jnl`	SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters. J. Parallel Distributed Comput. Rong Gu, Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Bing Wang, Chunfeng Yuan, Yihua Huang
2014	—	`conf`	Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor. IPDPS Workshops Lei Jin, Zhaokang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang
2014	—	`conf`	YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark. IPDPS Workshops Hongjian Qiu, Rong Gu, Chunfeng Yuan, Yihua Huang
2013	—	`conf`	A parallel computing platform for training large scale neural networks. IEEE BigData Rong Gu, Furao Shen, Yihua Huang
2013	—	`conf`	Large Scale Nearest Neighbors Search Based on Neighborhood Graph. CBD Wenhui Zhou, Chunfeng Yuan, Rong Gu, Yihua Huang
2012	—	`conf`	Performance Optimization for Short MapReduce Job Execution in Hadoop. CGC Jinshuang Yan, Xiaoliang Yang, Rong Gu, Chunfeng Yuan, Yihua Huang