Zichuan Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 42

Top Topics

Convolutional Neural Networks

Information Bottleneck

Top Venues

ACM J. Emerg. Technol. Comput. Syst.

IEEE Trans. Circuits Syst. Video Technol.

Publications

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 (2024)
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)
Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Bian Jiang
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning. CoRR (2024)
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 (2024)
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 (2024)
Mingyuan Wu, Zichuan Liu, Haozhen Zheng, Hongpeng Guo, Bo Chen, Xin Lu, Klara Nahrstedt
TraceNet: Segment one thing efficiently. CoRR (2024)
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)
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Bian Jiang
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. CoRR (2024)
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 (2024)
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 (2023)
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. CoRR (2023)
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. ICML (2023)
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) (2023)
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 (2023)
Prabhjot Kaur, Zichuan Liu, Weisong Shi
Simulators for Mobile Social Robots: State-of-the-Art and Challenges. CoRR (2022)
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) (2022)
Zichuan Liu, Yuanyang Zhu, Zhi Wang, Chunlin Chen
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. CoRR (2022)
Zhaofeng Tian, Zichuan Liu, Xingyu Zhou, Weisong Shi
Reinforcement Learning for Self-exploration in Narrow Spaces. CoRR (2022)
Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang
Multi-View Spatial-Temporal Model for Travel Time Estimation. SIGSPATIAL/GIS (2021)
Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu
Progressive Self-Guided Loss for Salient Object Detection. CoRR (2021)
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) (2021)
Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang
Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction. CoRR (2021)
Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu
Progressive Self-Guided Loss for Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
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 (2020)
Zichuan Liu, Guosheng Lin, Wang Ling Goh
Bottom-Up Scene Text Detection with Markov Clustering Networks. Int. J. Comput. Vis. 128 (6) (2020)
Pengxia Wu, Zichuan Liu, Julian Cheng
Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO. CoRR (2019)
Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. ICCV (2019)
Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
Towards Robust Curve Text Detection With Conditional Spatial Expansion. CVPR (2019)
Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
Towards Robust Curve Text Detection with Conditional Spatial Expansion. CoRR (2019)
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) (2019)
Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh
Learning Markov Clustering Networks for Scene Text Detection. CoRR (2018)
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) (2018)
Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh
Learning Markov Clustering Networks for Scene Text Detection. CVPR (2018)
Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang
Correlation Propagation Networks for Scene Text Detection. CoRR (2018)
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)
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)
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)
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 (2017)
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)
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) (2017)
Zichuan Liu, Yixing Li, Fengbo Ren, Hao Yu
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing. CoRR (2016)
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)
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)