Huaipan Jiang

According to our database, Huaipan Jiang authored at least 14 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Predicting Protein-Ligand Docking Structure with Graph Neural Network.

Huaipan Jiang, Jian Wang, Weilin Cong, Yihe Huang, Morteza Ramezani, Anup Sarma, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir

J. Chem. Inf. Model., 2022

2021

Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs.

Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K. Mishra, Vijaykrishnan Narayanan, Mahmut T. Kandemir, Chita R. Das

CoRR, 2021

Fluid: a framework for approximate concurrency via controlled dependency relaxation.

Huaipan Jiang, Haibo Zhang, Xulong Tang, Vineetha Govindaraj, Jack Sampson, Mahmut Taylan Kandemir, Danfeng Zhang

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training.

Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T. Kandemir, Chita R. Das

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Morphable Convolutional Neural Network for Biomedical Image Segmentation.

Huaipan Jiang, Anup Sarma, Mengran Fan, Jihyun Ryoo, Meenakshi Arunachalam, Sharada Naveen, Mahmut T. Kandemir

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks.

Huaipan Jiang, Mengran Fan, Jian Wang, Anup Sarma, Shruti Mohanty, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir

J. Chem. Inf. Model., 2020

2019

CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference.

Anup Sarma, Huaipan Jiang, Ashutosh Pattnaik, Jagadish Kotra, Mahmut Taylan Kandemir, Chita R. Das

Proceedings of the International Symposium on Memory Systems, 2019

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.

Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2018

A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation.

Huaipan Jiang, Anup Sarma, Jihyun Ryoo, Jagadish B. Kotra, Meena Arunachalam, Chita R. Das, Mahmut T. Kandemir

Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

MDACache: Caching for Multi-Dimensional-Access Memories.

Sumitha George, Minli Julie Liao, Huaipan Jiang, Jagadish B. Kotra, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2017

Controlled Kernel Launch for Dynamic Parallelism in GPUs.

Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut T. Kandemir, Chita R. Das

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

2016

Strengthening barrier-coverage of static sensor network with mobile sensor nodes.

Biaofei Xu, Yuqing Zhu, Donghyun Kim, Deying Li, Huaipan Jiang, Alade O. Tokuta

Wirel. Networks, 2016

2015

BitMapper: an efficient all-mapper based on bit-vector computing.

Haoyu Cheng, Huaipan Jiang, Jiaoyun Yang, Yun Xu, Yi Shang

BMC Bioinform., 2015

2014

Fortifying Barrier-Coverage of Wireless Sensor Network with Mobile Sensor Nodes.

Biaofei Xu, Donghyun Kim, Deying Li, Joonglyul Lee, Huaipan Jiang, Alade O. Tokuta

Proceedings of the Wireless Algorithms, Systems, and Applications, 2014