Zichuan Liu - RankMe

63 papers A* 10A 4C 1Journal 44Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diversified Scaling Inference in Time Series Foundation Models. CoRR Ruijin Hua, Zichuan Liu, Kun Zhang, Yiyuan Yang
2026	J	`jnl`	ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing. CoRR Hengjia Li, Liming Jiang, Qing Yan, Yizhi Song, Hao Kang, Zichuan Liu, Xin Lu, Boxi Wu, Deng Cai
2026	J	`jnl`	Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks. CoRR Yanming Mu, Hao Hu, Feiyang Li, Qiao Yuan, Jiang Wu, Zichuan Liu, Pengcheng Liu, Mei Wang, Hongwei Zhou, Yuling Liu
2025	J	`jnl`	Diversified Sampling Improves Scaling LLM inference. CoRR Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng
2025	J	`jnl`	Flux Already Knows - Activating Subject-Driven Image Generation without Training. CoRR Hao Kang, Stathi Fotiadis, Liming Jiang, Qing Yan, Yumin Jia, Zichuan Liu, Min Jin Chong, Xin Lu
2025	A*	`conf`	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. ICLR Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2025	J	`jnl`	InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity. CoRR Liming Jiang, Qing Yan, Yumin Jia, Zichuan Liu, Hao Kang, Xin Lu
2025	J	`jnl`	InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation. CoRR Jinqi Xiao, Qing Yan, Liming Jiang, Zichuan Liu, Hao Kang, Shen Sang, Tiancheng Zhi, Jing Liu, Cheng Yang, Xin Lu, Bo Yuan
2025	J	`jnl`	Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning. Trans. Mach. Learn. Res. Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian
2025	J	`jnl`	Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis. CoRR Zichuan Liu, Liming Jiang, Qing Yan, Yumin Jia, Hao Kang, Xin Lu
2025	J	`jnl`	MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. Zichuan Liu, Yuanyang Zhu, Zhi Wang, Yang Gao, Chunlin Chen
2025	J	`jnl`	Sample-efficient LLM Optimization with Reset Replay. CoRR Zichuan Liu, Jinyu Wang, Lei Song, Jiang Bian
2025	J	`jnl`	Time-RA: Towards Time Series Reasoning for Anomaly with LLM Feedback. CoRR Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Zhiguang Wang, Tom Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen
2024	A*	`conf`	Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024	J	`jnl`	Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024	C	`conf`	Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoG Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian
2024	J	`jnl`	Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoRR Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian
2024	J	`jnl`	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. CoRR Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2024	A	`conf`	I-Matting: Improved Trimap-Free Image Matting. ICME Zichuan Liu, Ke Wang, Mingyuan Wu, Lantao Yu, Klara Nahrstedt, Xin Lu
2024	J	`jnl`	Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning. CoRR Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian
2024	A*	`conf`	Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. ICML Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024	J	`jnl`	Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. CoRR Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024	A*	`conf`	Protecting Your LLMs with Information Bottleneck. NeurIPS Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024	J	`jnl`	Protecting Your LLMs with Information Bottleneck. CoRR Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024	A	`conf`	RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CIKM Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2024	A*	`conf`	TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024	J	`jnl`	TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024	J	`jnl`	TraceNet: Segment one thing efficiently. CoRR Mingyuan Wu, Zichuan Liu, Haozhen Zheng, Hongpeng Guo, Bo Chen, Xin Lu, Klara Nahrstedt
2024	—	`conf`	Unguided Self-exploration in Narrow Spaces with Safety Region Enhanced Reinforcement Learning for Ackermann-steering Robots. MOST Zhaofeng Tian, Zichuan Liu, Xingyu Zhou, Weisong Shi
2023	J	`jnl`	Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning. CoRR Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, Zhi Wang, Chunlin Chen
2023	J	`jnl`	Depth and Video Segmentation Based Visual Attention for Embodied Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang
2023	A*	`conf`	NA ICML Zichuan Liu, Yuanyang Zhu, Chunlin Chen
2023	J	`jnl`	NA CoRR Zichuan Liu, Yuanyang Zhu, Chunlin Chen
2023	J	`jnl`	RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2022	J	`jnl`	MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. CoRR Zichuan Liu, Yuanyang Zhu, Zhi Wang, Chunlin Chen
2022	J	`jnl`	Simulators for Mobile Social Robots: State-of-the-Art and Challenges. CoRR Prabhjot Kaur, Zichuan Liu, Weisong Shi
2022	J	`jnl`	Spatial-Temporal Conv-Sequence Learning With Accident Encoding for Traffic Flow Prediction. IEEE Trans. Netw. Sci. Eng. Zichuan Liu, Rui Zhang, Chen Wang, Zhu Xiao, Hongbo Jiang
2021	J	`jnl`	Guided Co-Segmentation Network for Fast Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu
2021	J	`jnl`	Multi View Spatial-Temporal Model for Travel Time Estimation. CoRR Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang
2021	—	`conf`	Multi-View Spatial-Temporal Model for Travel Time Estimation. SIGSPATIAL/GIS Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang
2021	J	`jnl`	Progressive Self-Guided Loss for Salient Object Detection. CoRR Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu
2021	J	`jnl`	Progressive Self-Guided Loss for Salient Object Detection. IEEE Trans. Image Process. Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu
2021	J	`jnl`	Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction. CoRR Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang
2020	J	`jnl`	Bottom-Up Scene Text Detection with Markov Clustering Networks. Int. J. Comput. Vis. Zichuan Liu, Guosheng Lin, Wang Ling Goh
2020	J	`jnl`	Outage Bridging and Trajectory Recovery in Visible Light Positioning Using Insufficient RSS Information. IEEE Access Ran Zhang, Zichuan Liu, Kemao Qian, Sheng Zhang, Pengfei Du, Chen Chen, Arokiaswami Alphones
2019	J	`jnl`	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. Yixing Li, Zichuan Liu, Wenye Liu, Yu Jiang, Yongliang Wang, Wang Ling Goh, Hao Yu, Fengbo Ren
2019	J	`jnl`	Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO. CoRR Pengxia Wu, Zichuan Liu, Julian Cheng
2019	A*	`conf`	SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. ICCV Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao
2019	A*	`conf`	Towards Robust Curve Text Detection With Conditional Spatial Expansion. CVPR Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
2019	J	`jnl`	Towards Robust Curve Text Detection with Conditional Spatial Expansion. CoRR Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
2018	J	`jnl`	A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren
2018	J	`jnl`	Correlation Propagation Networks for Scene Text Detection. CoRR Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang
2018	A*	`conf`	Learning Markov Clustering Networks for Scene Text Detection. CVPR Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh
2018	J	`jnl`	Learning Markov Clustering Networks for Scene Text Detection. CoRR Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh
2018	A*	`conf`	SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network. AAAI Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu
2017	A	`conf`	A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only). FPGA Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren
2017	J	`jnl`	A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks. CoRR Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren
2017	A	`conf`	An energy-efficient and high-throughput bitwise CNN on sneak-path-free digital ReRAM crossbar. ISLPED Leibin Ni, Zichuan Liu, Wenhao Song, J. Joshua Yang, Hao Yu, Kanwen Wang, Yuangang Wang
2017	J	`jnl`	Distributed In-Memory Computing on Binary RRAM Crossbar. ACM J. Emerg. Technol. Comput. Syst. Leibin Ni, Hantao Huang, Zichuan Liu, Rajiv V. Joshi, Hao Yu
2017	—	`conf`	NucleiNet: A convolutional encoder-decoder network for bio-image denoising. EMBC Zichuan Liu, Yifei Hu, Hang Xu, Lamees Nasser, Philippe Coquet, Thomas Boudier, Hao Yu
2016	J	`jnl`	A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing. CoRR Zichuan Liu, Yixing Li, Fengbo Ren, Hao Yu
2016	—	`conf`	An Energy-efficient Adaptive Sub-THz Wireless Interconnect with MIMO-Beamforming between Cores and DRAMs. NANOCOM Zichuan Liu, Yuan Liang, Nan Li, Guangyin Feng, Hao Yu, Shaojie Chen
2010	J	`jnl`	Statistical Analysis of 3D Images Detects Regular Spatial Distributions of Centromeres and Chromocenters in Animal and Plant Nuclei. PLoS Comput. Biol. 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