Pangfeng Liu - RankMe

147 papers A* 1A 10B 42C 18Misc 4Journal 35Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Grouping Algorithm for Training Tree-Shaped Models on Multiple GPUs with High Efficiency. COMPSAC Cai-Feng Lin, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Tzu-Hsien Tsai
2025	J	`jnl`	AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference. CoRR Kuan-Wei Lu, Ding-Yong Hong, Pangfeng Liu
2025	J	`jnl`	Efficient Distributed Training via Dual Batch Sizes and Cyclic Progressive Learning. CoRR Kuan-Wei Lu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2025	C	`conf`	Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs. PDP Bing-Jou Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2025	J	`jnl`	GPU Memory Usage Optimization for Backward Propagation in Deep Network Training. CoRR Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan Wu
2025	J	`jnl`	GPU memory usage optimization for backward propagation in deep network training. J. Parallel Distributed Comput. Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan Wu
2025	—	`conf`	Optimizing Pipeline Parallelism for Deep Learning with Activation Checkpointing. CANDAR Ming-Yen Chiang, Tzu-Hsien Tsai, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2024	C	`conf`	Approximation Algorithms and Simulated Annealing Heuristics for Row-and-Column Pruning of Deep Neural Networks. ISPA Ping-Han Tu, Yu-Che Cheng, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2024	B	`conf`	Effective Compression of Language Models by Combining Pruning and Knowledge Distillation. COMPSAC Chi-Yu Chiu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2023	—	`conf`	Accelerate Inference of CNN Models on CPU via Column Combining Based on Simulated Annealing. candar Chien-Hung Lin, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2023	B	`conf`	Exploiting Fine-Grained Structured Pruning for Efficient Inference on CNN Model. ICPADS Cheng-Hung Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2023	B	`conf`	Function Clustering to Optimize Resource Utilization on Container Platform. ICPADS Chao-Yu Lee, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2022	B	`conf`	A Cloud-Native Online Judge System. COMPSAC Guan-Chen Pan, Pangfeng Liu, Jan-Jan Wu
2022	B	`conf`	Accelerating Convolutional Neural Networks via Inter-operator Scheduling. ICPADS Yi You, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, Wei-Chung Hsu
2022	J	`jnl`	Accelerating Video Captioning on Heterogeneous System Architectures. ACM Trans. Archit. Code Optim. Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Kung-Fu Chen, Pangfeng Liu, Wei-Chung Hsu
2022	J	`jnl`	CNN Models Acceleration Using Filter Pruning and Sparse Tensor Core. Int. J. Netw. Comput. Hong-Xuan Wei, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, An-Tai Chen
2022	B	`conf`	Efficient Dual Batch Size Deep Learning for Distributed Parameter Server Systems. COMPSAC Kuan-Wei Lu, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu
2022	B	`conf`	Efficient Inference on Convolutional Neural Networks by Image Difficulty Prediction. IEEE Big Data Yu-Jen Chang, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
2021	—	`conf`	Accelerate CNN Models via Filter Pruning and Sparse Tensor Core. CANDAR An-Tai Chen, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu
2021	A	`conf`	Efficient Video Captioning on Heterogeneous System Architectures. IPDPS Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, Wei-Chung Hsu
2021	—	`conf`	Optimal Branch Location for Cost-effective Inference on Branchynet. IEEE BigData Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong, Jan-Jan Wu
2021	C	`conf`	Parallel Asynchronous Stochastic Dual Coordinate Descent Algorithms for High Efficiency and Stable Convergence. PDP Yung-Chen Chen, Pangfeng Liu, Jan-Jan Wu
2020	—	`conf`	An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks. IEEE BigData Yi-Long Chen, Pangfeng Liu, Jan-Jan Wu
2020	A	`conf`	Convolution Filter Pruning for Transfer Learning on Small Dataset. ICS Ching Ya Liao, Pangfeng Liu, Jan-Jan Wu
2020	—	`conf`	Exploiting Data Entropy for Neural Network Compression. IEEE BigData Tse-Wen Chen, Pangfeng Liu, Jan-Jan Wu
2019	—	`conf`	A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction. IEEE BigData Yu-Tung Hsieh, Chuan-Yu Lee, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu
2019	J	`jnl`	A collaborative CPU-GPU approach for deep learning on mobile devices. Concurr. Comput. Pract. Exp. Olivier Valery, Pangfeng Liu, Jan-Jan Wu
2019	—	`conf`	Task Scheduling Techniques for Deep Learning in Heterogeneous Environment. CANDAR Workshops Pangfeng Liu, Jan-Jan Wu
2018	J	`jnl`	A collaborative CPU-GPU approach for principal component analysis on mobile heterogeneous platforms. J. Parallel Distributed Comput. Olivier Valery, Pangfeng Liu, Jan-Jan Wu
2018	B	`conf`	Adaptive Communication for Distributed Deep Learning on Commodity GPU Cluster. CCGrid Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2018	—	`conf`	An Efficient Dynamic Load-Balancing Large Scale Graph-Processing System. ICNCC Ming-Chia Kuo, Pangfeng Liu, Jan-Jan Wu
2018	B	`conf`	Communication Scheduling Optimization for Distributed Deep Learning Systems. ICPADS Ching-Yuan Tsai, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu
2018	—	`conf`	Communication Usage Optimization of Gradient Sparsification with Aggregation in Deep Learning. ICNCC Sheng-Ping Wang, Pangfeng Liu, Jan-Jan Wu
2018	—	`conf`	Data Pinning and Back Propagation Memory Optimization for Deep Learning on GPU. CANDAR Cing-Fu Jhu, Pangfeng Liu, Jan-Jan Wu
2018	B	`conf`	Energy-Efficient Core Allocation and Deployment for Container-Based Virtualization. ICPADS Ching-Chi Lin, Jian-Jia Chen, Pangfeng Liu, Jan-Jan Wu
2018	C	`conf`	Low Precision Deep Learning Training on Mobile Heterogeneous Platform. PDP Olivier Valery, Pangfeng Liu, Jan-Jan Wu
2018	—	`conf`	Versatile Communication Optimization for Deep Learning by Modularized Parameter Server. IEEE BigData Po-Yen Wu, Pangfeng Liu, Jan-Jan Wu
2018	J	`jnl`	Workload prediction and balance for distributed reachability processing for large-scale attribute graphs. Concurr. Comput. Pract. Exp. Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2017	B	`conf`	CPU/GPU Collaboration Techniques for Transfer Learning on Mobile Devices. ICPADS Olivier Valery, Pangfeng Liu, Jan-Jan Wu
2017	J	`jnl`	Data partition optimisation for column-family NoSQL databases. Int. J. Big Data Intell. Meng-Ju Hsieh, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2017	B	`conf`	Efficient Cache Update for In-Memory Cluster Computing with Spark. CCGrid Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu, Chia Chun Shih, Chi-Chang Huang, Chao-Wen Huang
2017	B	`conf`	High Resource Utilization Auto-Scaling Algorithms for Heterogeneous Container Configurations. ICPADS Yi-Lin Cheng, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu
2016	B	`conf`	An Energy-Efficient Scheduler for Throughput Guaranteed Jobs on Asymmetric Multi-Core Platforms. ICPADS Ching-Chi Lin, Hsiang-Hsin Li, Jan-Jan Wu, Pangfeng Liu
2016	J	`jnl`	Optimizing Control Transfer and Memory Virtualization in Full System Emulators. ACM Trans. Archit. Code Optim. Ding-Yong Hong, Chun-Chen Hsu, Cheng-Yi Chou, Wei-Chung Hsu, Pangfeng Liu, Jan-Jan Wu
2015	—	`conf`	A Partial Workload Offloading Framework in a Mobile Cloud Computing Context. SOCA Olivier Valery, Ju-Cheng Chou, Yulin Tsao, Pangfeng Liu, Jan-Jan Wu
2015	J	`jnl`	A dynamic binary translation system in a client/server environment. J. Syst. Archit. Chun-Chen Hsu, Ding-Yong Hong, Wei-Chung Hsu, Pangfeng Liu, Jan-Jan Wu
2015	—	`conf`	Data Partition Optimization for Column-Family NoSQL Databases. SmartCity Li-Yung Ho, Meng-Ju Hsieh, Jan-Jan Wu, Pangfeng Liu
2015	—	`conf`	Efficient distributed maximum matching for solving the container exchange problem in the maritime industry. IEEE BigData Fei Shao, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2015	J	`jnl`	Energy-efficient task scheduling for multi-core platforms with per-core DVFS. J. Parallel Distributed Comput. Ching-Chi Lin, You-Cheng Syu, Chao-Jui Chang, Jan-Jan Wu, Pangfeng Liu, Po-Wen Cheng, Wei-Te Hsu
2015	B	`conf`	Job Dispatching and Scheduling for Heterogeneous Clusters - A Case Study on the Billing Subsystem of CHT Telecommunication. COMPSAC Ting-Chou Lin, Ching-Chi Lin, Ting-Wei Chang, Pangfeng Liu, Jan-Jan Wu, Chia Chun Shih, Chao-Wen Huang
2015	B	`conf`	Resource Provision for Batch and Interactive Workloads in Data Centers. ICPADS Ting-Wei Chang, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu, Chia Chun Shih, Chao-Wen Huang
2015	B	`conf`	SIMD Code Translation in an Enhanced HQEMU. ICPADS Sheng-Yu Fu, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, Wei-Chung Hsu
2014	A	`conf`	Adaptive OpenCL Computation Offloading Framework on Mobile Device. ICS Olivier Valery, Wei-Shu Hung, Ju-Cheng Chou, Pangfeng Liu, Jan-Jan Wu
2014	B	`conf`	An Energy-Efficient Task Scheduler for Multi-core Platforms with Per-core DVFS Based on Task Characteristics. ICPP Ching-Chi Lin, Chao-Jui Chang, You-Cheng Syu, Jan-Jan Wu, Pangfeng Liu, Po-Wen Cheng, Wei-Te Hsu
2014	—	`conf`	An energy-efficient hypervisor scheduler for asymmetric multi-core. GCCE Ching-Chi Lin, Chao-Jui Chang, You-Cheng Syu, Jan-Jan Wu, Pangfeng Liu, Po-Wen Cheng, Wei-Te Hsu
2014	B	`conf`	DBILL: an efficient and retargetable dynamic binary instrumentation framework using llvm backend. VEE Yi-Hong Lyu, Ding-Yong Hong, Tai-Yi Wu, Jan-Jan Wu, Wei-Chung Hsu, Pangfeng Liu, Pen-Chung Yew
2014	J	`jnl`	Efficient and Retargetable Dynamic Binary Translation on Multicores. IEEE Trans. Parallel Distributed Syst. Ding-Yong Hong, Jan-Jan Wu, Pen-Chung Yew, Wei-Chung Hsu, Chun-Chen Hsu, Pangfeng Liu, Chien-Min Wang, Yeh-Ching Chung
2014	B	`conf`	Efficient memory virtualization for Cross-ISA system mode emulation. VEE Chao-Rui Chang, Jan-Jan Wu, Wei-Chung Hsu, Pangfeng Liu, Pen-Chung Yew
2013	C	`conf`	Automatic Resource Scaling for Web Applications in the Cloud. GPC Ching-Chi Lin, Jan-Jan Wu, Pangfeng Liu, Jeng-An Lin, Li-Chung Song
2013	—	`conf`	Data Replication for Distributed Graph Processing. IEEE CLOUD Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2013	C	`conf`	GPU Virtualization Support in Cloud System. GPC Chih-Yuan Yeh, Chung-Yao Kao, Wei-Shu Hung, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu, Kuang-Chih Liu
2013	B	`conf`	Improving dynamic binary optimization through early-exit guided code region formation. VEE Chun-Chen Hsu, Pangfeng Liu, Jan-Jan Wu, Pen-Chung Yew, Ding-Yong Hong, Wei-Chung Hsu, Chien-Min Wang
2013	—	`conf`	Kylin: An efficient and scalable graph data processing system. IEEE BigData Li-Yung Ho, Tsung-Han Li, Jan-Jan Wu, Pangfeng Liu
2013	B	`conf`	Sampling-Based Phase Classification and Prediction for Multi-threaded Program Execution on Multi-core Architectures. ICPP Chih-Hao Chang, Pangfeng Liu, Jan-Jan Wu
2012	J	`jnl`	Aggregating consistent endgame knowledge in Chinese Chess. Knowl. Based Syst. Bo-Nian Chen, Pangfeng Liu, Shun-Chin Hsu, Tsan-sheng Hsu
2012	—	`conf`	Automatic Resource Scaling Based on Application Service Requirements. IEEE CLOUD Ching-Chi Lin, Jan-Jan Wu, Jeng-An Lin, Li-Chung Song, Pangfeng Liu
2012	—	`conf`	Distributed Graph Database for Large-Scale Social Computing. IEEE CLOUD Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2012	J	`jnl`	Distributed Throughput Optimization for ZigBee Cluster-Tree Networks. IEEE Trans. Parallel Distributed Syst. Yu-Kai Huang, Ai-Chun Pang, Pi-Cheng Hsiu, Weihua Zhuang, Pangfeng Liu
2012	A	`conf`	HQEMU: a multi-threaded and retargetable dynamic binary translator on multicores. CGO Ding-Yong Hong, Chun-Chen Hsu, Pen-Chung Yew, Jan-Jan Wu, Wei-Chung Hsu, Pangfeng Liu, Chien-Min Wang, Yeh-Ching Chung
2012	—	`conf`	HSQL: A Highly Scalable Cloud Database for Multi-user Query Processing. IEEE CLOUD Chao-Rui Chang, Meng-Ju Hsieh, Jan-Jan Wu, Po-Yen Wu, Pangfeng Liu
2012	B	`conf`	Probability-Based Cloud Storage Providers Selection Algorithms with Maximum Availability. ICPP Chia-Wei Chang, Pangfeng Liu, Jan-Jan Wu
2012	J	`jnl`	Scheduling of variable-time jobs for distributed systems with heterogeneous processor cardinality. Int. J. Ad Hoc Ubiquitous Comput. Jan-Jan Wu, Hung-Jui Chang, Yufan Ho, Pangfeng Liu
2012	C	`conf`	Workload characteristics-aware virtual machine consolidation algorithms. CloudCom Jyun-Shiung Yang, Pangfeng Liu, Jan-Jan Wu
2011	C	`conf`	A Novel Approach for Finding Optimization Opportunities in Multicore Architectures. ISPA Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu
2011	C	`conf`	An Empirical Study on Memory Sharing of Virtual Machines for Server Consolidation. ISPA Chao-Rui Chang, Jan-Jan Wu, Pangfeng Liu
2011	—	`conf`	Energy-Aware Virtual Machine Dynamic Provision and Scheduling for Cloud Computing. IEEE CLOUD Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu
2011	Misc	`conf`	Energy-efficient Virtual Machine Provision Algorithms for Cloud Systems. UCC Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu
2011	—	`conf`	Innovative system and application curriculum on multicore systems. WESE Pangfeng Liu, Greg C. Lee, Jenq-Kuen Lee, Cheng-Yen Lin
2011	—	`conf`	Job sequence scheduling for cloud computing. CDC Yung-Ching Hsu, Pangfeng Liu, Jan-Jan Wu
2011	B	`conf`	LnQ: Building High Performance Dynamic Binary Translators with Existing Compiler Backends. ICPP Chun-Chen Hsu, Pangfeng Liu, Chien-Min Wang, Jan-Jan Wu, Ding-Yong Hong, Pen-Chung Yew, Wei-Chung Hsu
2011	—	`conf`	Optimal Algorithms for Cross-Rack Communication Optimization in MapReduce Framework. IEEE CLOUD Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2011	J	`jnl`	Optimizing server placement in distributed systems in the presence of competition. J. Parallel Distributed Comput. Jan-Jan Wu, Shu-Fan Shih, Pangfeng Liu, Yi-Min Chung
2011	J	`jnl`	QoS-aware replica placement for grid computing. Concurr. Comput. Pract. Exp. Jan-Jan Wu, Shu-Fan Shih, Hsiangkai Wang, Pangfeng Liu, Chien-Min Wang
2011	B	`conf`	Roystonea: A Cloud Computing System with Pluggable Component Architecture. ICPADS Chao-En Yen, Jyun-Shiung Yang, Pangfeng Liu, Jan-Jan Wu
2011	B	`conf`	SQLMR : A Scalable Database Management System for Cloud Computing. ICPP Meng-Ju Hsieh, Chao-Rui Chang, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
2011	Misc	`conf`	Server Consolidation Algorithms with Bounded Migration Cost and Performance Guarantees in Cloud Computing. UCC Yufan Ho, Pangfeng Liu, Jan-Jan Wu
2010	C	`conf`	Job Scheduling Techniques for Distributed Systems with Temporal Constraints. GPC Ping-Yi Lin, Pangfeng Liu
2010	—	`conf`	Knowledge Abstraction in Chinese Chess Endgame Databases. Computers and Games Bo-Nian Chen, Pangfeng Liu, Shun-Chin Hsu, Tsan-sheng Hsu
2010	—	`conf`	Metadata Partitioning for Large-Scale Distributed Storage Systems. IEEE CLOUD Jan-Jan Wu, Pangfeng Liu, Yi-Chien Chung
2010	C	`conf`	NAT-ZigBee: NAT-Based Address Assignment for Scalable ZigBee Networks. QSHINE Yuan-Yao Shih, Yu-Kai Huang, Ai-Chun Pang, Pangfeng Liu, Wei-Ni Chu
2009	B	`conf`	A Study of Group Size Effects on a Hybrid P2P System. ICPADS Ping-I Chou, Pangfeng Liu
2009	J	`jnl`	An Approximation Algorithm and Dynamic Programming for Reduction in Heterogeneous Environments. Algorithmica Pangfeng Liu, May-Chen Kuo, Da-Wei Wang
2009	C	`conf`	An Intelligent Tutoring System of Chinese Chess. IEA/AIE Bo-Nian Chen, Jian-Yu Chen, Jr-Chang Chen, Tsan-sheng Hsu, Pangfeng Liu, Shun-Chin Hsu
2009	J	`jnl`	Computation and communication schedule optimization for data-sharing tasks on uniprocessor. J. Syst. Archit. Jan-Jan Wu, En-Jan Chou, Pangfeng Liu
2009	—	`conf`	Conflict Resolution of Chinese Chess Endgame Knowledge Base. ACG Bo-Nian Chen, Pangfeng Liu, Shun-Chin Hsu, Tsan-sheng Hsu
2009	B	`conf`	Data-bandwidth-aware Job Scheduling in Grid and Cluster Environments. ICPADS De-Yu Chen, Jan-Jan Wu, Pangfeng Liu
2009	C	`conf`	GFS: A Distributed File System with Multi-source Data Access and Replication for Grid Computing. GPC Chun-Ting Chen, Chun-Chen Hsu, Jan-Jan Wu, Pangfeng Liu
2009	—	`conf`	Job Scheduling Techniques for Distributed Systems with Heterogeneous Processor Cardinality. ISPAN Hung-Jui Chang, Jan-Jan Wu, Pangfeng Liu
2009	J	`jnl`	QoS-aware, access-efficient, and storage-efficient replica placement in grid environments. J. Supercomput. Chieh-Wen Cheng, Jan-Jan Wu, Pangfeng Liu
2008	B	`conf`	A List-Based Strategy for Optimal Replica Placement in Data Grid Systems. ICPP Yi-Fang Lin, Jan-Jan Wu, Pangfeng Liu
2008	B	`conf`	Heuristic Algorithms for Replication Transition Problem in the Grid Systems. CCGRID Chun-Chen Hsu, Pangfeng Liu, Chien-Min Wang
2008	—	`conf`	Knowledge Inferencing on Chinese Chess Endgames. Computers and Games Bo-Nian Chen, Pangfeng Liu, Shun-Chin Hsu, Tsan-sheng Hsu
2008	J	`jnl`	Optimal replica placement in hierarchical Data Grids with locality assurance. J. Parallel Distributed Comput. Jan-Jan Wu, Yi-Fang Lin, Pangfeng Liu
2008	A	`conf`	Optimal replication transition strategy in distributed hierarchical systems. IPDPS Chun-Chen Hsu, Chien-Min Wang, Pangfeng Liu
2008	C	`conf`	The Development of a Drug Discovery Virtual Screening Application on Taiwan Unigrid. GPC Li-Yung Ho, Pangfeng Liu, Chien-Min Wang, Jan-Jan Wu
2007	J	`jnl`	An optimal scheduling algorithm for an agent-based multicast strategy on irregular networks. J. Supercomput. Pangfeng Liu, Yi-Fang Lin, Jan-Jan Wu, Zhe-Hao Kang
2007	B	`conf`	Block-Based Allocation Algorithms for FLASH Memory in Embedded Systems. PaCT Pangfeng Liu, Chung-Hao Chuang, Jan-Jan Wu
2007	B	`conf`	Computation and communication schedule optimization for jobs with shared data. ICPADS En-Jan Chou, Pangfeng Liu, Jan-Jan Wu
2007	C	`conf`	Optimizing Server Placement for QoS Requirements in Hierarchical Grid Environments. GPC Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-Min Chen, Jan-Jan Wu
2007	J	`jnl`	Optimizing server placement in hierarchical grid environments. J. Supercomput. Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-Min Chen, Jan-Jan Wu
2007	C	`conf`	Server Placement in the Presence of Competition. GPC Pangfeng Liu, Yi-Min Chung, Jan-Jan Wu, Chien-Min Wang
2006	—	`conf`	A QoS-Aware Heuristic Algorithm for Replica Placement. GRID Hsiangkai Wang, Pangfeng Liu, Jan-Jan Wu
2006	—	`conf`	Abstracting Knowledge from Annotated Chinese-Chess Game Records. Computers and Games Bo-Nian Chen, Pangfeng Liu, Shun-Chin Hsu, Tsan-sheng Hsu
2006	C	`conf`	An Optimal Scheduling Algorithm for an Agent-Based Multicast Strategy on Irregular Networks. GPC Yi-Fang Lin, Zhe-Hao Kang, Pangfeng Liu, Jan-Jan Wu
2006	B	`conf`	Generalized Edge Coloring for Channel Assignment in Wireless Networks. ICPP Chun-Chen Hsu, Pangfeng Liu, Da-Wei Wang, Jan-Jan Wu
2006	—	`conf`	Optimal Placement of Replicas in Data Grid Environments with Locality Assurance. ICPADS (1) Yi-Fang Lin, Pangfeng Liu, Jan-Jan Wu
2006	B	`conf`	Optimal Replica Placement Strategy for Hierarchical Data Grid Systems. CCGRID Pangfeng Liu, Jan-Jan Wu
2006	C	`conf`	Optimizing Server Placement in Hierarchical Grid Environments. GPC Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-Min Chen, Jan-Jan Wu
2005	A	`conf`	Distributed Scheduling of Parallel I/O in the Presence of Data Replication. IPDPS Jan-Jan Wu, Pangfeng Liu
2005	—	`conf`	Efficient Allocation Algorithms for FLASH File Systems. ICPADS (1) Li-Fu Chou, Pangfeng Liu
2005	—	`conf`	Efficient Distributed Algorithms for Parallel I/O Scheduling. ICPADS (1) Jan-Jan Wu, Yih-Fang Lin, Pangfeng Liu
2005	—	`conf`	I/O Processor Allocation for Mesh Cluster Computers. ICPADS (1) Pangfeng Liu, Chun-Chen Hsu, Jan-Jan Wu
2005	J	`jnl`	Minimum degree triangulation for rectangular domains. Inf. Process. Lett. Pangfeng Liu
2004	J	`jnl`	Efficient Multiple Multicast on Heterogeneous Network of Workstations. J. Supercomput. Jan-Jan Wu, Shih-Hsien Yeh, Pangfeng Liu
2003	B	`conf`	An Approximation Algorithm for Broadcast Scheduling in Heterogeneous Clusters. RTCSA Pangfeng Liu, Da-Wei Wang, Yi-Heng Guo
2003	A	`conf`	Efficient Agent-Based Multicast on Wormhole Switch-Based Irregular Networks. IPDPS Yi-Fang Lin, Pangfeng Liu
2003	B	`conf`	Efficient Parallel I/O Scheduling in the Presence of Data Duplication. ICPP Pangfeng Liu, Da-Wei Wang, Jan-Jan Wu
2002	B	`conf`	An Incremental Network Topology for Contention-free and Deadlock-free Routing. ICPADS Pangfeng Liu, Yi-Fang Lin, Jan-Jan Wu
2002	J	`jnl`	Broadcast Scheduling Optimization for Heterogeneous Cluster Systems. J. Algorithms Pangfeng Liu
2002	J	`jnl`	Locality-Preserving Dynamic Load Balancing for Data-Parallel Applications on Distributed-Memory Multiprocessors. J. Inf. Sci. Eng. Pangfeng Liu, Jan-Jan Wu, Chih-Hsuae Yang
2001	A	`conf`	A Simple Incremental Network Topology for Wormhole Switch-Based Networks. IPDPS Pangfeng Liu, Jan-Jan Wu, Yi-Fang Lin, Shih-Hsien Yeh
2001	J	`jnl`	Tree Search on an Atomic Model for Message Passing. SIAM J. Comput. Pangfeng Liu, William Aiello, Sandeep N. Bhatt
2000	B	`conf`	Broadcast scheduling optimization for heterogeneous cluster systems. SPAA Pangfeng Liu, Tzu-Hao Sheng
2000	J	`jnl`	Experiences with Parallel N-Body Simulation. IEEE Trans. Parallel Distributed Syst. Pangfeng Liu, Sandeep N. Bhatt
2000	A	`conf`	Reduction Optimization in Heterogeneous Cluster Environments. IPDPS Pangfeng Liu, Da-Wei Wang
2000	—	`conf`	Scheduling Multiple Multicast for Heterogeneous Network of Workstations with Non-Blocking Message-Passing. ICPP Workshops Shih-Hsien Yeh, Jan-Jan Wu, Pangfeng Liu
1999	Misc	`conf`	Parallel Programming Support for Unstructured Mesh Computation. PDPTA Jyh-Ching Hong, Pangfeng Liu, Tzu-Hao Sheng, Jin-Xian Wu, Chih-Hsuae Yang
1999	J	`jnl`	Tight Bounds for On-Line Tree Embeddings. SIAM J. Comput. Sandeep N. Bhatt, David S. Greenberg, Frank Thomson Leighton, Pangfeng Liu
1998	A	`conf`	Distributed Data Structure Design for Scientific Computation. International Conference on Supercomputing Jan-Jan Wu, Pangfeng Liu
1998	J	`jnl`	Supporting Efficieent Tree Structures for Distributed Scientific Computation. J. Inf. Sci. Eng. Pangfeng Liu, Jan-Jan Wu
1997	B	`conf`	A Framework for Parallel Tree-Based Scientific Simulations. ICPP Pangfeng Liu, Jan-Jan Wu
1997	Misc	`conf`	VGDS: An Object-Oriented Framework for Distributed Scientific Computing. PDPTA Jan-Jan Wu, Pangfeng Liu, Marina C. Chen, James R. Cowie
1994	B	`conf`	Experiences with Parallel N-Body Simulation. SPAA Pangfeng Liu, Sandeep N. Bhatt
1993	B	`conf`	An Atomic Model for Message-Passing. SPAA Pangfeng Liu, William Aiello, Sandeep N. Bhatt
1993	J	`jnl`	Object-Oriented Support for Adaptive Methods on Paranel Machines. Sci. Program. Sandeep N. Bhatt, Marina C. Chen, James R. Cowie, Cheng-Yee Lin, Pangfeng Liu
1991	A*	`conf`	Tight Bounds for On-Line Tree Embeddings. SODA Sandeep N. Bhatt, David S. Greenberg, Frank Thomson Leighton, Pangfeng Liu
1989	J	`jnl`	An LC Branch-and-Branch Algorithm for the Module Assignment Problem. Inf. Process. Lett. Maw-Sheng Chern, Gen-Huey Chen, Pangfeng Liu