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Haitian Jiang
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2020 – today
- 2024
- [j5]Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang:
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. 17(6): 1473-1486 (2024) - [i7]Qianyue He, Xin Jin, Haitian Jiang, Dongyu Du:
DARTS: Diffusion Approximated Residual Time Sampling for Low Variance Time-of-flight Rendering in Homogeneous Scattering Medium. CoRR abs/2402.03106 (2024) - [i6]Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li:
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. CoRR abs/2405.05231 (2024) - 2023
- [j4]Haitian Jiang
, Dongliang Xiong
, Xiaowen Jiang
, Li Ding, Liang Chen, Kai Huang
:
Efficient Halftoning via Deep Reinforcement Learning. IEEE Trans. Image Process. 32: 5494-5508 (2023) - [j3]Kai Huang
, Bowen Li
, Dongliang Xiong
, Haitian Jiang
, Xiaowen Jiang
, Xiaolang Yan
, Luc Claesen
, Dehong Liu
, Junjian Chen
, Zhili Liu
:
Structured Dynamic Precision for Deep Neural Networks Quantization. ACM Trans. Design Autom. Electr. Syst. 28(1): 12:1-12:24 (2023) - [c7]Liyuan Ma, Tingwei Gao, Haitian Jiang, Haibin Shen, Kejie Huang:
WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer. ICCV 2023: 7181-7191 - [c6]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS 2023 - [i5]Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang
, Jidong Zhai, Zheng Zhang:
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR abs/2301.07482 (2023) - [i4]Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Li Ding, Liang Chen, Kai Huang:
Efficient Halftoning via Deep Reinforcement Learning. CoRR abs/2304.12152 (2023) - [i3]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian
, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. CoRR abs/2306.10759 (2023) - [i2]Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf:
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR abs/2310.12457 (2023) - 2022
- [c5]Haitian Jiang
, Dongliang Xiong, Xiaowen Jiang, Aiguo Yin, Li Ding, Kai Huang:
Halftoning with Multi-Agent Deep Reinforcement Learning. ICIP 2022: 641-645 - [i1]Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Aiguo Yin, Li Ding, Kai Huang:
Halftoning with Multi-Agent Deep Reinforcement Learning. CoRR abs/2207.11408 (2022) - 2021
- [j2]Yufeng Li, Haitian Jiang, Jiyong Lu, Xiaozhong Li, Zhiwei Sun, Min Li:
MR-BIRCH: A scalable MapReduce-based BIRCH clustering algorithm. J. Intell. Fuzzy Syst. 40(3): 5295-5305 (2021) - 2020
- [c4]Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen:
DFQF: Data Free Quantization-aware Fine-tuning. ACML 2020: 289-304 - [c3]Siang Chen
, Kai Huang
, Bowen Li
, Dongliang Xiong
, Haitian Jiang
, Luc Claesen
:
Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning. ECCV Workshops (3) 2020: 119-135 - [c2]Dongliang Xiong
, Kai Huang
, Haitian Jiang
, Bowen Li
, Siang Chen
, Xiaowen Jiang
:
IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks. ECCV Workshops (3) 2020: 136-151
2010 – 2019
- 2019
- [j1]Kai Huang, Xiaowen Jiang
, Haitian Jiang
, Xiaomeng Zhang
, Min Yu, Rongjie Yan, Xiaolang Yan:
Fine-Grained Communication-Aware Task Scheduling Approach for Acyclic and Cyclic Applications on MPSoCs. IEEE Access 7: 54372-54389 (2019) - [c1]Dongliang Xiong
, Kai Huang, Siang Chen, Bowen Li, Haitian Jiang
, Wenyuan Xu:
NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution. ICCV Workshops 2019: 3378-3387
Coauthor Index
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last updated on 2024-08-07 21:34 CEST by the dblp team
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