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2020 – today
- 2024
[c16]Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian:
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoG 2024: 1-8- [c15]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR 2024 - [c14]Zichuan Liu, Ke Wang, Mingyuan Wu, Lantao Yu, Klara Nahrstedt, Xin Lu:
I-Matting: Improved Trimap-Free Image Matting. ICME 2024: 1-6 - [c13]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML 2024 - [c12]Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian:
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. ICML 2024 - [c11]Zhaofeng Tian, Zichuan Liu, Xingyu Zhou, Weisong Shi:
Unguided Self-exploration in Narrow Spaces with Safety Region Enhanced Reinforcement Learning for Ackermann-steering Robots. MOST 2024: 260-268 - [i21]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR abs/2401.08552 (2024) - [i20]Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian:
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoRR abs/2404.09715 (2024) - [i19]Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian:
Protecting Your LLMs with Information Bottleneck. CoRR abs/2404.13968 (2024) - [i18]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR abs/2405.09308 (2024) - [i17]Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian:
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning. CoRR abs/2405.16854 (2024) - [i16]Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian:
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. CoRR abs/2406.03503 (2024) - [i15]Mingyuan Wu, Zichuan Liu, Haozhen Zheng, Hongpeng Guo, Bo Chen, Xin Lu, Klara Nahrstedt:
TraceNet: Segment one thing efficiently. CoRR abs/2406.14874 (2024) - 2023
- [j10]Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang:
Depth and Video Segmentation Based Visual Attention for Embodied Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6807-6819 (2023) - [c10]Zichuan Liu, Yuanyang Zhu, Chunlin Chen:
NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. ICML 2023: 22539-22558 - [i14]Zichuan Liu, Yuanyang Zhu, Chunlin Chen:
NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. CoRR abs/2304.13383 (2023) - [i13]Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, Zhi Wang, Chunlin Chen:
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2305.07182 (2023) - [i12]Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen:
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR abs/2310.16340 (2023) - 2022
- [j9]Zichuan Liu, Rui Zhang, Chen Wang, Zhu Xiao, Hongbo Jiang:
Spatial-Temporal Conv-Sequence Learning With Accident Encoding for Traffic Flow Prediction. IEEE Trans. Netw. Sci. Eng. 9(3): 1765-1775 (2022) - [i11]Prabhjot Kaur, Zichuan Liu, Weisong Shi:
Simulators for Mobile Social Robots: State-of-the-Art and Challenges. CoRR abs/2202.03582 (2022) - [i10]Zichuan Liu, Yuanyang Zhu, Zhi Wang, Chunlin Chen:
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. CoRR abs/2209.07225 (2022) - 2021
- [j8]Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu:
Guided Co-Segmentation Network for Fast Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1607-1617 (2021) - [j7]Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu:
Progressive Self-Guided Loss for Salient Object Detection. IEEE Trans. Image Process. 30: 8426-8438 (2021) - [c9]Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang:
Multi-View Spatial-Temporal Model for Travel Time Estimation. SIGSPATIAL/GIS 2021: 646-649 - [i9]Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu:
Progressive Self-Guided Loss for Salient Object Detection. CoRR abs/2101.02412 (2021) - [i8]Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang:
Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction. CoRR abs/2105.10478 (2021) - [i7]Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang:
Multi View Spatial-Temporal Model for Travel Time Estimation. CoRR abs/2109.07402 (2021) - 2020
- [j6]Ran Zhang, Zichuan Liu, Kemao Qian, Sheng Zhang, Pengfei Du, Chen Chen, Arokiaswami Alphones:
Outage Bridging and Trajectory Recovery in Visible Light Positioning Using Insufficient RSS Information. IEEE Access 8: 162302-162312 (2020) - [j5]Zichuan Liu, Guosheng Lin, Wang Ling Goh:
Bottom-Up Scene Text Detection with Markov Clustering Networks. Int. J. Comput. Vis. 128(6): 1786-1809 (2020)
2010 – 2019
- 2019
- [j4]Yixing Li, Zichuan Liu, Wenye Liu, Yu Jiang, Yongliang Wang, Wang Ling Goh, Hao Yu, Fengbo Ren:
A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing. IEEE Trans. Ind. Electron. 66(9): 7407-7416 (2019) - [c8]Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh:
Towards Robust Curve Text Detection With Conditional Spatial Expansion. CVPR 2019: 7269-7278 - [c7]Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao:
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. ICCV 2019: 9666-9675 - [i6]Pengxia Wu, Zichuan Liu, Julian Cheng:
Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO. CoRR abs/1903.02127 (2019) - [i5]Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh:
Towards Robust Curve Text Detection with Conditional Spatial Expansion. CoRR abs/1903.08836 (2019) - 2018
- [j3]Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren:
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 14(2): 18:1-18:16 (2018) - [c6]Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu:
SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network. AAAI 2018: 7194-7201 - [c5]Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. CVPR 2018: 6936-6944 - [i4]Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. CoRR abs/1805.08365 (2018) - [i3]Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang:
Correlation Propagation Networks for Scene Text Detection. CoRR abs/1810.00304 (2018) - 2017
- [j2]Leibin Ni, Hantao Huang, Zichuan Liu, Rajiv V. Joshi, Hao Yu:
Distributed In-Memory Computing on Binary RRAM Crossbar. ACM J. Emerg. Technol. Comput. Syst. 13(3): 36:1-36:18 (2017) - [c4]Zichuan Liu, Yifei Hu, Hang Xu, Lamees Nasser, Philippe Coquet, Thomas Boudier, Hao Yu:
NucleiNet: A convolutional encoder-decoder network for bio-image denoising. EMBC 2017: 1986-1989 - [c3]Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren:
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only). FPGA 2017: 290-291 - [c2]Leibin Ni, Zichuan Liu, Wenhao Song, J. Joshua Yang, Hao Yu, Kanwen Wang, Yuangang Wang:
An energy-efficient and high-throughput bitwise CNN on sneak-path-free digital ReRAM crossbar. ISLPED 2017: 1-6 - [i2]Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren:
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks. CoRR abs/1702.06392 (2017) - 2016
- [c1]Zichuan Liu, Yuan Liang, Nan Li, Guangyin Feng, Hao Yu, Shaojie Chen:
An Energy-efficient Adaptive Sub-THz Wireless Interconnect with MIMO-Beamforming between Cores and DRAMs. NANOCOM 2016: 26:1-26:6 - [i1]Zichuan Liu, Yixing Li, Fengbo Ren, Hao Yu:
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing. CoRR abs/1612.03630 (2016) - 2010
- [j1]Philippe Andrey, Kiên Kiêu, Clémence Kress, Gaëtan Lehmann, Leïla Tirichine, Zichuan Liu, Eric Biot, Pierre-Gaël Adenot, Cathy Hue-Beauvais, Nicole Houba-Hérin, Véronique Duranthon, Eve Devinoy, Nathalie Beaujean, Valérie Gaudin, Yves Maurin, Pascale Debey:
Statistical Analysis of 3D Images Detects Regular Spatial Distributions of Centromeres and Chromocenters in Animal and Plant Nuclei. PLoS Comput. Biol. 6(7) (2010)
Coauthor Index
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