Zichuan Liu

According to our database, Zichuan Liu authored at least 39 papers between 2010 and 2024.

Collaborative distances:

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

2024

TraceNet: Segment one thing efficiently.

Mingyuan Wu, Zichuan Liu, Haozhen Zheng, Hongpeng Guo, Bo Chen, Xin Lu, Klara Nahrstedt

CoRR, 2024

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning.

Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian

CoRR, 2024

Protecting Your LLMs with Information Bottleneck.

Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian

CoRR, 2024

Unguided Self-exploration in Narrow Spaces with Safety Region Enhanced Reinforcement Learning for Ackermann-steering Robots.

Zhaofeng Tian, Zichuan Liu, Xingyu Zhou, Weisong Shi

Proceedings of the IEEE International Conference on Mobility, 2024

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems.

Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TimeX++: Learning Time-Series Explanations with Information Bottleneck.

Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

I-Matting: Improved Trimap-Free Image Matting.

Zichuan Liu, Ke Wang, Mingyuan Wu, Lantao Yu, Klara Nahrstedt, Xin Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Explaining Time Series via Contrastive and Locally Sparse Perturbations.

Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.

Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning.

Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian

Proceedings of the IEEE Conference on Games, 2024

2023

Depth and Video Segmentation Based Visual Attention for Embodied Question Answering.

Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.

Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen

CoRR, 2023

Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning.

Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, Zhi Wang, Chunlin Chen

CoRR, 2023

NA²Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning.

Zichuan Liu, Yuanyang Zhu, Chunlin Chen

Proceedings of the International Conference on Machine Learning, 2023

2022

Spatial-Temporal Conv-Sequence Learning With Accident Encoding for Traffic Flow Prediction.

Zichuan Liu, Rui Zhang, Chen Wang, Zhu Xiao, Hongbo Jiang

IEEE Trans. Netw. Sci. Eng., 2022

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees.

Zichuan Liu, Yuanyang Zhu, Zhi Wang, Chunlin Chen

CoRR, 2022

Simulators for Mobile Social Robots: State-of-the-Art and Challenges.

Prabhjot Kaur, Zichuan Liu, Weisong Shi

CoRR, 2022

2021

Progressive Self-Guided Loss for Salient Object Detection.

Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu

IEEE Trans. Image Process., 2021

Guided Co-Segmentation Network for Fast Video Object Segmentation.

Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu

IEEE Trans. Circuits Syst. Video Technol., 2021

Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction.

Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang

CoRR, 2021

Multi-View Spatial-Temporal Model for Travel Time Estimation.

Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

Bottom-Up Scene Text Detection with Markov Clustering Networks.

Zichuan Liu, Guosheng Lin, Wang Ling Goh

Int. J. Comput. Vis., 2020

Outage Bridging and Trajectory Recovery in Visible Light Positioning Using Insufficient RSS Information.

Ran Zhang, Zichuan Liu, Kemao Qian, Sheng Zhang, Pengfei Du, Chen Chen, Arokiaswami Alphones

IEEE Access, 2020

2019

A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing.

Yixing Li, Zichuan Liu, Wenye Liu, Yu Jiang, Yongliang Wang, Wang Ling Goh, Hao Yu, Fengbo Ren

IEEE Trans. Ind. Electron., 2019

Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO.

Pengxia Wu, Zichuan Liu, Julian Cheng

CoRR, 2019

SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering.

Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao

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

Towards Robust Curve Text Detection With Conditional Spatial Expansion.

Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks.

Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren

ACM J. Emerg. Technol. Comput. Syst., 2018

Correlation Propagation Networks for Scene Text Detection.

Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang

CoRR, 2018

Learning Markov Clustering Networks for Scene Text Detection.

Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network.

Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Distributed In-Memory Computing on Binary RRAM Crossbar.

Leibin Ni, Hantao Huang, Zichuan Liu, Rajiv V. Joshi, Hao Yu

ACM J. Emerg. Technol. Comput. Syst., 2017

A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks.

Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren

CoRR, 2017

An energy-efficient and high-throughput bitwise CNN on sneak-path-free digital ReRAM crossbar.

Leibin Ni, Zichuan Liu, Wenhao Song, J. Joshua Yang, Hao Yu, Kanwen Wang, Yuangang Wang

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only).

Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

NucleiNet: A convolutional encoder-decoder network for bio-image denoising.

Zichuan Liu, Yifei Hu, Hang Xu, Lamees Nasser, Philippe Coquet, Thomas Boudier, Hao Yu

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing.

Zichuan Liu, Yixing Li, Fengbo Ren, Hao Yu

CoRR, 2016

An Energy-efficient Adaptive Sub-THz Wireless Interconnect with MIMO-Beamforming between Cores and DRAMs.

Zichuan Liu, Yuan Liang, Nan Li, Guangyin Feng, Hao Yu, Shaojie Chen

Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

2010

Statistical Analysis of 3D Images Detects Regular Spatial Distributions of Centromeres and Chromocenters in Animal and Plant Nuclei.

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

PLoS Comput. Biol., 2010