Haitian Jiang

According to our database, Haitian Jiang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training.

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

Proc. VLDB Endow., February, 2024

DARTS: Diffusion Approximated Residual Time Sampling for Low Variance Time-of-flight Rendering in Homogeneous Scattering Medium.

Qianyue He, Xin Jin, Haitian Jiang, Dongyu Du

CoRR, 2024

2023

Structured Dynamic Precision for Deep Neural Networks Quantization.

Kai Huang, Bowen Li, Dongliang Xiong, Haitian Jiang, Xiaowen Jiang, Xiaolang Yan, Luc Claesen, Dehong Liu, Junjian Chen, Zhili Liu

ACM Trans. Design Autom. Electr. Syst., January, 2023

Efficient Halftoning via Deep Reinforcement Learning.

Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Li Ding, Liang Chen, Kai Huang

IEEE Trans. Image Process., 2023

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.

Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

CoRR, 2023

ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

CoRR, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.

Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer.

Liyuan Ma, Tingwei Gao, Haitian Jiang, Haibin Shen, Kejie Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Halftoning with Multi-Agent Deep Reinforcement Learning.

Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Aiguo Yin, Li Ding, Kai Huang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

MR-BIRCH: A scalable MapReduce-based BIRCH clustering algorithm.

Yufeng Li, Haitian Jiang, Jiyong Lu, Xiaozhong Li, Zhiwei Sun, Min Li

J. Intell. Fuzzy Syst., 2021

2020

IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks.

Dongliang Xiong, Kai Huang, Haitian Jiang, Bowen Li, Siang Chen, Xiaowen Jiang

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning.

Siang Chen, Kai Huang, Bowen Li, Dongliang Xiong, Haitian Jiang, Luc Claesen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DFQF: Data Free Quantization-aware Fine-tuning.

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Fine-Grained Communication-Aware Task Scheduling Approach for Acyclic and Cyclic Applications on MPSoCs.

Kai Huang, Xiaowen Jiang, Haitian Jiang, Xiaomeng Zhang, Min Yu, Rongjie Yan, Xiaolang Yan

IEEE Access, 2019

NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution.

Dongliang Xiong, Kai Huang, Siang Chen, Bowen Li, Haitian Jiang, Wenyuan Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019