Xinzhe Liu

32 papers A* 5C 2Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control.
CoRR
Jinrui Han, Dewei Wang, Chenyun Zhang, Xinzhe Liu, Ping Luo, Chenjia Bai, Xuelong Li
2026 J jnl
InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skills.
CoRR
Dayang Liang, Yuhang Lin, Xinzhe Liu, Jiyuan Shi, Yunlong Liu, Chenjia Bai
2026 J jnl
Learning Soccer Skills for Humanoid Robots: A Progressive Perception-Action Framework.
CoRR
Jipeng Kong, Xinzhe Liu, Yuhang Lin, Jinrui Han, Sören Schwertfeger, Chenjia Bai, Xuelong Li
2026 J jnl
PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning.
CoRR
Huanyu Li, Dewei Wang, Xinmiao Wang, Xinzhe Liu, Peng Liu, Chenjia Bai, Xuelong Li
2026 A* conf
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
AAAI
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2025 J jnl
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning.
CoRR
Jiyuan Shi, Xinzhe Liu, Dewei Wang, Ouyang Lu, Sören Schwertfeger, Fuchun Sun, Chenjia Bai, Xuelong Li
2025 J jnl
Fast FPGA Accelerator of Graph Cut Algorithm With Threshold Global Relabel and Inertial Push.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Guangyao Yan, Xinzhe Liu, Hui Wang, Yajun Ha
2025 J jnl
KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills.
CoRR
Weiji Xie, Jinrui Han, Jiakun Zheng, Huanyu Li, Xinzhe Liu, Jiyuan Shi, Weinan Zhang, Chenjia Bai, Xuelong Li
2025 J jnl
MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains.
CoRR
Dewei Wang, Xinmiao Wang, Xinzhe Liu, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
2025 A* conf
Poster: ERIS: Evaluating ROV via ICMPv6 Rate Limiting Side Channels.
CCS
Renrui Tian, Yahui Li, Han Zhang, Xinzhe Liu, Xia Yin, Xingang Shi, Zhiliang Wang, Jilong Wang
2025 J jnl
QuantTPM: Efficient Mixed-Precision Quantization Framework for Tractable Probabilistic Models.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shen Zhang, Bin Ning, Guangyao Yan, Xinzhe Liu, Weixiong Jiang, Yajun Ha
2025 J jnl
Scalable and Interpretable Overlay Network Checking via Ensemble Verification.
Proc. ACM Netw.
Xinzhe Liu, Yahui Li, Han Zhang, Xia Yin, Xingang Shi, Zhiliang Wang, Gang Ren, Jilong Wang, Jiangyuan Yao
2025 J jnl
Structural Design and Vibro-Mechanical Characterization Analysis of Variable Cross-Sectional Metal Rubber Isolator.
Symmetry
Jianchao Liu, Xinzhe Liu, Hanbin Wang, Zixiong Ye, Xin Xue
2025 J jnl
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
CoRR
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2024 J jnl
Benchmarking SLAM Algorithms in the Cloud: The SLAM Hive System.
CoRR
Xinzhe Liu, Yuanyuan Yang, Bowen Xu, Sören Schwertfeger
2024 — conf
Poster: Scalable and Interpretable Multilayer Overlay Network Checking via Ensemble Verification.
SIGCOMM (Posters and Demos)
Xinzhe Liu, Yahui Li, Han Zhang, Xia Yin, Xingang Shi, Zhiliang Wang, Gang Ren, Jiangyuan Yao
2023 J jnl
An Energy-Efficient Stream-Based FPGA Implementation of Feature Extraction Algorithm for LiDAR Point Clouds With Effective Local-Search.
IEEE Trans. Circuits Syst. I Regul. Pap.
Hao Sun, Qi Deng, Xinzhe Liu, Yuhao Shu, Yajun Ha
2023 — conf
Data Partition Optimization for High Energy Efficiency by Decoupling Local Dependence in Holographic Video Decoder.
ICECS
Xinzhe Liu, Jianwen Luo, David Blinder, Fupeng Chen, Heng Yu, Peter Schelkens, Francky Catthoor, Yajun Ha
2023 A* conf
Fast FPGA Accelerator of Graph Cut Algorithm with Out-of-order Parallel Execution in Folding Grid Architecture.
DAC
Guangyao Yan, Xinzhe Liu, Hui Wang, Yajun Ha
2023 J jnl
HRFF: Hierarchical and Recursive Floorplanning Framework for NoC-Based Scalable Multidie FPGAs.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jianwen Luo, Xinzhe Liu, Fupeng Chen, Yajun Ha
2023 J jnl
Multifeature-Based Outdoor Fingerprint Localization With Accuracy Enhancement for Cellular Network.
IEEE Trans. Instrum. Meas.
Shuaiheng Huai, Xinzhe Liu, Yi Jiang, Yanpeng Dai, Xiaoye Wang, Qing Hu
2023 C conf
RPS-KNN: An Ultra-Fast FPGA Accelerator of Range-Projection-Structure K-Nearest-Neighbor Search for LiDAR Odometry in Smart Vehicles.
ISCAS
Jianzhong Xiao, Hao Sun, Qi Deng, Xinzhe Liu, Hongtu Zhang, Chengzhang He, Yuhao Shu, Yajun Ha
2022 — conf
Hierarchical and Recursive Floorplanning Algorithm for NoC-Bascd Scalable Multi-Die FPGAs.
APCCAS
Jianwen Luo, Xinzhe Liu, Fupeng Chen, Yajun Ha
2022 J jnl
Ultra-Fast FPGA Implementation of Graph Cut Algorithm With Ripple Push and Early Termination.
IEEE Trans. Circuits Syst. I Regul. Pap.
Guangyao Yan, Xinzhe Liu, Fupeng Chen, Hui Wang, Yajun Ha
2021 A* conf
Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation.
DAC
Xinzhe Liu, Fupeng Chen, Raees Kizhakkumkara Muhamad, David Blinder, Dessislava Nikolova, Peter Schelkens, Francky Catthoor, Yajun Ha
2021 C conf
CLIF: Cross-Layer Information Fusion for Stereo Matching and its Hardware Implementation.
ISCAS
Fupeng Chen, Xinzhe Liu, Heng Yu, Yajun Ha
2021 A* conf
TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer.
DAC
Weixiong Jiang, Heng Yu, Xinzhe Liu, Hao Sun, Rui Li, Yajun Ha
2020 J jnl
Efficient FPGA Implementation of K-Nearest-Neighbor Search Algorithm for 3D LIDAR Localization and Mapping in Smart Vehicles.
IEEE Trans. Circuits Syst. II Express Briefs
Hao Sun, Xinzhe Liu, Qi Deng, Weixiong Jiang, Shaobo Luo, Yajun Ha
2019 — conf
Area Efficient Box Filter Acceleration by Parallelizing with Optimized Adder Tree.
ISVLSI
Xinzhe Liu, Fupeng Chen, Yajun Ha
2019 — conf
Energy Efficiency Optimization of FPGA-based CNN Accelerators with Full Data Reuse and VFS.
ICECS
Weixiong Jiang, Heng Yu, Xinzhe Liu, Yajun Ha
2008 — conf
Empirical Analysis of Optimal Hidden Neurons in Neural Network Modeling for Stock Prediction.
PACIIA (2)
Jinchuan Ke, Xinzhe Liu
2008 — conf
Theoretical and Empirical Analysis of the Learning Rate and Momentum Factor in Neural Network Modeling for Stock Prediction.
ISICA
Jinchuan Ke, Xinzhe Liu, Guan Wang