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; et al. (PLoS Comput. Biol., 2010)

An Energy-efficient Adaptive Sub-THz Wireless Interconnect with MIMO-Beamforming between Cores and DRAMs. - Zichuan Liu; Yuan Liang 004; Nan Li; Guangyin Feng; Hao Yu 001; Shaojie Chen (NANOCOM, 2016)

A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing. - Zichuan Liu; Yixing Li; Fengbo Ren; Hao Yu 001 (CoRR, 2016)

NucleiNet: A convolutional encoder-decoder network for bio-image denoising. - Zichuan Liu; Yifei Hu; Hang Xu 001; Lamees Nasser; Philippe Coquet; Thomas Boudier; Hao Yu 001 (EMBC, 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 007; Hao Yu 001; Fengbo Ren (FPGA, 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 001; Kanwen Wang; Yuangang Wang (ISLPED, 2017)

A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks. - Yixing Li; Zichuan Liu; Kai Xu 007; Hao Yu 001; Fengbo Ren (CoRR, 2017)

Distributed In-Memory Computing on Binary RRAM Crossbar. - Leibin Ni; Hantao Huang; Zichuan Liu; Rajiv V. Joshi; Hao Yu 001 (ACM J. Emerg. Technol. Comput. Syst., 2017)

SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network. - Zichuan Liu; Yixing Li; Fengbo Ren; Wang Ling Goh; Hao Yu 001 (AAAI, 2018)

Learning Markov Clustering Networks for Scene Text Detection. - Zichuan Liu; Guosheng Lin; Sheng Yang 006; Jiashi Feng; Weisi Lin; Wang Ling Goh (CVPR, 2018)

Correlation Propagation Networks for Scene Text Detection. - Zichuan Liu; Guosheng Lin; Wang Ling Goh; Fayao Liu; Chunhua Shen; Xiaokang Yang 001 (CoRR, 2018)

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks. - Yixing Li; Zichuan Liu; Kai Xu 007; Hao Yu 001; Fengbo Ren (ACM J. Emerg. Technol. Comput. Syst., 2018)

Towards Robust Curve Text Detection With Conditional Spatial Expansion. - Zichuan Liu; Guosheng Lin; Sheng Yang 006; Fayao Liu; Weisi Lin; Wang Ling Goh (CVPR, 2019)

SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. - Haonan Luo; Guosheng Lin; Zichuan Liu; Fayao Liu; Zhenmin Tang; Yazhou Yao (ICCV, 2019)

Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO. - Pengxia Wu; Zichuan Liu; Julian Cheng (CoRR, 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 004; Yongliang Wang; Wang Ling Goh; Hao Yu 001; Fengbo Ren (IEEE Trans. Ind. Electron., 2019)

Outage Bridging and Trajectory Recovery in Visible Light Positioning Using Insufficient RSS Information. - Ran Zhang 003; Zichuan Liu; Kemao Qian; Sheng Zhang 023; Pengfei Du 001; Chen Chen 037; Arokiaswami Alphones (IEEE Access, 2020)

Bottom-Up Scene Text Detection with Markov Clustering Networks. - Zichuan Liu; Guosheng Lin; Wang Ling Goh (Int. J. Comput. Vis., 2020)

Multi-View Spatial-Temporal Model for Travel Time Estimation. - Zichuan Liu; Zhaoyang Wu; Meng Wang 034; Rui Zhang 066 (SIGSPATIAL/GIS, 2021)

Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction. - Zichuan Liu; Rui Zhang 066; Chen Wang 011; Hongbo Jiang 001 (CoRR, 2021)

Guided Co-Segmentation Network for Fast Video Object Segmentation. - Weide Liu; Guosheng Lin; Tianyi Zhang 004; Zichuan Liu (IEEE Trans. Circuits Syst. Video Technol., 2021)

Progressive Self-Guided Loss for Salient Object Detection. - Sheng Yang 006; Weisi Lin; Guosheng Lin; Qiuping Jiang; Zichuan Liu (IEEE Trans. Image Process., 2021)

Simulators for Mobile Social Robots: State-of-the-Art and Challenges. - Prabhjot Kaur; Zichuan Liu; Weisong Shi (CoRR, 2022)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. - Zichuan Liu; Yuanyang Zhu; Zhi Wang; Chunlin Chen (CoRR, 2022)

Spatial-Temporal Conv-Sequence Learning With Accident Encoding for Traffic Flow Prediction. - Zichuan Liu; Rui Zhang 066; Chen Wang 011; Zhu Xiao; Hongbo Jiang 001 (IEEE Trans. Netw. Sci. Eng., 2022)

NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. - Zichuan Liu; Yuanyang Zhu; Chunlin Chen (ICML, 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)

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., 2023)

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. - Linjie Xu; Zichuan Liu; Alexander Dockhorn; Diego Perez Liebana; Jinyu Wang; Lei Song 001; Jiang Bian 002 (CoG, 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 001; Qingsong Wen (CIKM, 2024)

Explaining Time Series via Contrastive and Locally Sparse Perturbations. - Zichuan Liu; Yingying Zhang; Tianchun Wang; Zefan Wang; Dongsheng Luo; Mengnan Du; Min Wu 008; Yi Wang 022; Chunlin Chen; Lunting Fan; Qingsong Wen (ICLR, 2024)

I-Matting: Improved Trimap-Free Image Matting. - Zichuan Liu; Ke Wang; Mingyuan Wu; Lantao Yu; Klara Nahrstedt; Xin Lu (ICME, 2024)

TimeX++: Learning Time-Series Explanations with Information Bottleneck. - Zichuan Liu; Tianchun Wang; Jimeng Shi; Xu Zheng 003; Zhuomin Chen; Lei Song 001; Wenqian Dong; Jayantha Obeysekera; Farhad Shirani 001; Dongsheng Luo (ICML, 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 001; Jiang Bian 002 (ICML, 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 (MOST, 2024)

Protecting Your LLMs with Information Bottleneck. - Zichuan Liu; Zefan Wang; Linjie Xu; Jinyu Wang; Lei Song 001; Tianchun Wang; Chunlin Chen; Wei Cheng 002; Jiang Bian 002 (NeurIPS, 2024)

TraceNet: Segment one thing efficiently. - Mingyuan Wu; Zichuan Liu; Haozhen Zheng; Hongpeng Guo; Bo Chen 025; Xin Lu; Klara Nahrstedt (CoRR, 2024)

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. - Tianchun Wang; Yuanzhou Chen; Zichuan Liu; Zhanwen Chen; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (ICLR, 2025)

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 024; Yuanyu Zhang; Lijuan Li; Guoliang Fan; Lei Song 001; Jiang Bian 002 (Trans. Mach. Learn. Res., 2025)

Diversified Sampling Improves Scaling LLM inference. - Tianchun Wang; Zichuan Liu; Yuanzhou Chen; Jonathan Light; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (CoRR, 2025)

InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity. - Liming Jiang; Qing Yan; Yumin Jia; Zichuan Liu; Hao Kang; Xin Lu (CoRR, 2025)

Flux Already Knows - Activating Subject-Driven Image Generation without Training. - Hao Kang; Stathi Fotiadis; Liming Jiang; Qing Yan; Yumin Jia; Zichuan Liu; Min Jin Chong; Xin Lu (CoRR, 2025)

Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis. - Zichuan Liu; Liming Jiang; Qing Yan; Yumin Jia; Hao Kang; Xin Lu (CoRR, 2025)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. - Zichuan Liu; Yuanyang Zhu; Zhi Wang; Yang Gao 001; Chunlin Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Time-RA: Towards Time Series Reasoning for Anomaly with LLM Feedback. - Yiyuan Yang; Zichuan Liu; Lei Song; Kai Ying; Zhiguang Wang; Tom Bamford; Svitlana Vyetrenko; Jiang Bian 001; Qingsong Wen (CoRR, 2025)

Sample-efficient LLM Optimization with Reset Replay. - Zichuan Liu; Jinyu Wang; Lei Song 001; Jiang Bian 002 (CoRR, 2025)