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ORCIDQuan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j210]Feifei Li, Yongli Mou, Zeyu Zhang, Quan Liu, Sabina Jeschke:
A novel model for the pavement distress segmentation based on multi-level attention DeepLabV3+. Eng. Appl. Artif. Intell. 137: 109175 (2024)- [j209]Zhigang Huang
, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu:
Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. Expert Syst. Appl. 237(Part B): 121467 (2024) - [j208]Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu:
RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. 237(Part B): 121475 (2024) - [j207]Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu:
Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. 238(Part E): 122145 (2024) - [j206]Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu:
Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. 238(Part F): 122290 (2024) - [j205]Guangsheng Dong, Rui Li, Huayi Wu, Wei Huang, Hongping Zhang, Vincent Tao, Quan Liu:
Learning the spatial co-occurrence for browsing interests extraction of domain users on public map service platforms. Geo spatial Inf. Sci. 27(2): 455-474 (2024) - [j204]Renyang You, Quan Liu:
Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics. Knowl. Based Syst. 284: 111264 (2024) - [j203]Junbo Lian, Jingyu Zhang, Quan Liu, Runhao Zhu, Jingyuan Ning, Siyi Xiong, Guohua Hui, Yuanyuan Gao, Xiong-wei Lou:
A single-wavelength laser relaxation spectroscopy-based machine learning solution for apple mechanical damage detection. Multim. Tools Appl. 83(24): 64617-64635 (2024) - [j202]Wupeng Deng, Quan Liu, Duc Truong Pham, Jiwei Hu, Kin-Man Lam, Yongjing Wang, Zude Zhou:
Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning. Robotics Comput. Integr. Manuf. 85: 102619 (2024) - [j201]Wupeng Deng, Quan Liu, Feifan Zhao, Duc Truong Pham, Jiwei Hu, Yongjing Wang, Zude Zhou:
Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision. Robotics Comput. Integr. Manuf. 86: 102673 (2024) - [j200]Zemin Liu, Qingsong Ai, Haojie Liu, Wei Meng, Quan Liu:
Human-Like Trajectory Planning Based on Postural Synergistic Kernelized Movement Primitives for Robot-Assisted Rehabilitation. IEEE Trans. Hum. Mach. Syst. 54(2): 152-161 (2024) - [j199]Fazheng Hou, Wei Meng, Li Ma, Kun Chen, Qingsong Ai, Quan Liu, Shengquan Xie:
MECAM: A Novel Multi-Axis EEG Channel Attention Model for Emotion Recognition. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c207]Kai Zhai, Quan Liu, Yuyang Xiong, Xiaohan Qu, Jun Yang:
MVMS-GCN: A Multi-view Multi-source data fusion graph convolution neural network for predicting autism spectrum disorder with fMRI. BIC 2024 - [c206]Lingbo Ye, Quan Liu:
Design and optimization of control system for automatic paper laying machine. CCEAI 2024: 183-187 - [c205]Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang:
Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation. ICASSP 2024: 5010-5014 - [c204]Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang:
Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation. ICASSP 2024: 5255-5259 - [c203]Jie Yan, Quan Liu, Lihua Zhang:
Offline Reinforcement Learning Based on Next State Supervision. ICASSP 2024: 5775-5779 - [c202]Zhenxi Wang, Hongzi Zhu, Yunxiang Cai, Quan Liu, Shan Chang, Liang Zhang:
LoRaPCR: Long Range Point Cloud Registration through Multi-hop Relays in VANETs. INFOCOM 2024: 1311-1320 - [c201]Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5 - [i80]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR abs/2401.07854 (2024) - [i79]Zhenhong Zhou, Jiuyang Xiang, Haopeng Chen, Quan Liu, Zherui Li, Sen Su:
Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue. CoRR abs/2402.17262 (2024) - [i78]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. CoRR abs/2402.19286 (2024) - [i77]Quan Liu, Hongzi Zhu, Zhenxi Wang, Yunsong Zhou, Shan Chang, Minyi Guo:
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension. CoRR abs/2403.03532 (2024) - [i76]Quan Liu, Brandon T. Swartz, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo:
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers. CoRR abs/2405.17568 (2024) - [i75]Quan Liu, Ruining Deng, Can Cui, Tianyuan Yao, Vishwesh Nath, Yucheng Tang, Yuankai Huo:
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. CoRR abs/2405.17824 (2024) - [i74]Jialin Yue, Tianyuan Yao, Ruining Deng, Quan Liu, Juming Xiong, Haichun Yang, Yuankai Huo:
Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results. CoRR abs/2406.19540 (2024) - [i73]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. CoRR abs/2407.00596 (2024) - [i72]Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo:
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR abs/2407.03307 (2024) - [i71]Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo:
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models. CoRR abs/2407.09979 (2024) - [i70]Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo:
Dataset Distillation in Medical Imaging: A Feasibility Study. CoRR abs/2407.14429 (2024) - [i69]Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation. CoRR abs/2407.18390 (2024) - 2023
- [j198]Qingsong Ai, Jun Zhang, Quan Liu, Chuanjie Zhang, Qiyuan Chen, Junwei Yan:
Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage. IEEE Access 11: 139575-139586 (2023) - [j197]Zhihao Liu, Quan Liu, Wenjun Xu, Lihui Wang, Zhenrui Ji:
Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration. Adv. Eng. Informatics 58: 102129 (2023) - [j196]Senyuan Wang, Xinyi Liu, Yongjun Zhang, Jonathan Li, Siyuan Zou, Jipeng Wu, Chuang Tao, Quan Liu, Guorong Cai:
Semantic-guided 3D building reconstruction from triangle meshes. Int. J. Appl. Earth Obs. Geoinformation 119: 103324 (2023) - [j195]Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong:
Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control. Appl. Intell. 53(18): 20917-20937 (2023) - [j194]Kun Chen, Huchuan Jing, Quan Liu, Qingsong Ai, Li Ma:
A novel caps-EEGNet combined with channel selection for EEG-based emotion recognition. Biomed. Signal Process. Control. 86(Part C): 105312 (2023) - [j193]Jiale Lu, Baofeng Pan, Weixin Ren, Quan Liu, Pengfei Liu, Markus Oeser:
Regeneration of pavement surface textures using M-sigmoid-normalized generative adversarial networks. Comput. Aided Civ. Infrastructure Eng. 38(16): 2225-2241 (2023) - [j192]Di Liu, Simone Baldi, Quan Liu, Wenwu Yu:
A recursive least squares algorithm with ℓ1 regularization for sparse representation. Sci. China Inf. Sci. 66(2) (2023) - [j191]Hanqiang Deng, Jian Huang, Quan Liu, Cong Zhou, Jialong Gao:
BGSD: A SBERT and GAT-based Service Discovery Framework for Heterogeneous Distributed IoT. Comput. Networks 220: 109488 (2023) - [j190]Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li:
Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. 119: 105819 (2023) - [j189]Zhigang Huang, Quan Liu, Fei Zhu:
Hierarchical reinforcement learning with adaptive scheduling for robot control. Eng. Appl. Artif. Intell. 126(Part D): 107130 (2023) - [j188]Ji Ke, Shufa Wang, Jiangchun Li, Quan Liu:
Modified particle swarm optimization based magnetic resonance imaging analysis for identification of risk factors tissue damage incidence. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j187]Ji Ke, Shufa Wang, Zhao Qiu, Quan Liu:
Diagnostic evaluation of low-rank matrix denoising algorithm-based magnetic resonance imaging on tibial plateau fracture complicated with meniscus injury. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j186]Quan Liu, Zhenrui Ji, Wenjun Xu, Zhihao Liu, Bitao Yao, Zude Zhou:
Knowledge-guided robot learning on compliance control for robotic assembly task with predictive model. Expert Syst. Appl. 234: 121037 (2023) - [j185]Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling:
A stable actor-critic algorithm for solving robotic tasks with multiple constraints. Frontiers Comput. Sci. 17(4): 174328 (2023) - [j184]Baodong Ma, Quan Liu, Ziwei Jiang, Defu Che, Kehan Qiu, Xiangxiang Shang:
Energy-Efficient 3D Path Planning for Complex Field Scenes Using the Digital Model with Landcover and Terrain. ISPRS Int. J. Geo Inf. 12(2): 82 (2023) - [j183]Jiaming Ye, Defu Che, Baodong Ma, Quan Liu, Kehan Qiu, Xiangxiang Shang:
Construction Method for a Three-Dimensional Tunnel General Monomer Model Based on Parallel Pathfinding. ISPRS Int. J. Geo Inf. 12(7): 270 (2023) - [j182]Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong:
Generalized gradient emphasis learning for off-policy evaluation and control with function approximation. Neural Comput. Appl. 35(32): 23599-23616 (2023) - [j181]Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang:
Addressing implicit bias in adversarial imitation learning with mutual information. Neural Networks 167: 847-864 (2023) - [j180]Quan Liu, Zhenguo Nie, Zhao Gong, Xin-Jun Liu:
An Omnidirectional Transportation System With High Terrain Adaptability and Flexible Configurations Using Multiple Nonholonomic Mobile Robots. IEEE Robotics Autom. Lett. 8(9): 6060-6067 (2023) - [j179]Jiacheng Zhu, Zhicheng Zhao, Quan Liu, Xinhua Chen, Huan Li, Shaofan Tang, Weimin Shen:
Geostationary Full-Spectrum Wide-Swath High-Fidelity Imaging Spectrometer: Optical Design and Prototype Development. Remote. Sens. 15(2): 396 (2023) - [j178]Baodong Ma, Xiangru Yang, Defu Che, Yang Shu, Quan Liu, Min Su:
Spectral Simulation and Error Analysis of Dusty Leaves by Fusing the Hapke Two-Layer Medium Model and the Linear Spectral Mixing Model. Remote. Sens. 15(5): 1220 (2023) - [j177]Quan Liu, Xiaojing Shen, Lei Li, Junying Sun, Zirui Liu, Weibin Zhu, Junting Zhong, Yangmei Zhang, Xinyao Hu, Shuo Liu, Huizheng Che, Xiaoye Zhang:
Impacts of Aerosol Chemical Composition on Cloud Condensation Nuclei (CCN) Activity during Wintertime in Beijing, China. Remote. Sens. 15(17): 4119 (2023) - [j176]Qingsong Ai, Zemin Liu, Wei Meng, Quan Liu, Shengquan Xie:
Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review. IEEE Trans. Cogn. Dev. Syst. 15(4): 2053-2063 (2023) - [j175]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo:
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Trans. Biomed. Eng. 70(9): 2636-2644 (2023) - [j174]Yangzhe Liao, Xiyu Chen, Shuang Xia, Qingsong Ai, Quan Liu:
Energy Minimization for UAV Swarm-Enabled Wireless Inland Ship MEC Network With Time Windows. IEEE Trans. Green Commun. Netw. 7(2): 594-608 (2023) - [j173]Jie Zuo, Quan Liu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
Event-Triggered Adaptive Hybrid Torque-Position Control (ET-AHTPC) for Robot-Assisted Ankle Rehabilitation. IEEE Trans. Ind. Electron. 70(5): 4993-5003 (2023) - [j172]Xiaojing Ren, Chao-Mao Hsieh, Mohammad O. A. Malik, Joshua Su Weiming, Quan Liu:
A Radio Frequency Tagging Continuous-Wave Optical Spectrometer With Megahertz Refreshing Rate. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c200]Jia-Chen Gu, Zhenhua Ling, Quan Liu, Cong Liu, Guoping Hu:
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding. ACL (1) 2023: 11645-11658 - [c199]Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, Minyi Guo:
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer. CVPR 2023: 17493-17503 - [c198]Zhigang Huang, Quan Liu:
Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling. ECAI 2023: 1116-1123 - [c197]Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu:
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. EMNLP 2023: 7681-7692 - [c196]Lihua Zhang, Quan Liu, Zhigang Huang, Lan Wu:
Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning. ICASSP 2023: 1-5 - [c195]Lihua Zhang, Quan Liu, Xiongzhen Zhang, Yapeng Xu:
A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets. ICASSP 2023: 1-5 - [c194]Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo:
Density-invariant Features for Distant Point Cloud Registration. ICCV 2023: 18169-18179 - [c193]Quan Liu, Di Liu, Simone Baldi:
A New Recursive Approach to Sparse Representation. ICDL 2023: 461-466 - [c192]Yujia Liao, Quan Liu, Jie Zuo, Wei Meng, Qingsong Ai:
The Application of Hybrid Dynamic Recurrent Fuzzy Neural Network in Lower Limb Rehabilitation Function Evaluation. ICIRA (2) 2023: 173-184 - [c191]Zunmei Tian, Haojie Liu, Chang Zhu, Wei Meng, Quan Liu:
Hybrid APFPSO Algorithm for Accurate Model-Free Motion Control of a Knee Exoskeleton. ICIRA (2) 2023: 422-431 - [c190]Zhuo Wang, Quan Liu, Xiongzhen Zhang:
Self-adaptive Inverse Soft-Q Learning for Imitation. ICONIP (9) 2023: 3-14 - [c189]Meilong Shi, Quan Liu, Zhigang Huang:
Efficient Collaboration via Interaction Information in Multi-agent System. ICONIP (2) 2023: 401-412 - [c188]Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo:
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction. IJCAI 2023: 1204-1212 - [c187]Long Chen, Wei Meng, Chang Zhu, Haojie Liu, Yifei Zhou, Quan Liu:
Multi-Objective Trajectory Planning Based on Integrated NSGA-III for Isokinetic Rehabilitation. M2VIP 2023: 1-6 - [c186]Dong Liu, Yuxuan Zhang, Nian Peng, Haojie Liu, Wei Meng, Quan Liu:
Wearable Flexible Optical Fiber Sensors for Human Motion Intention Recognition. M2VIP 2023: 1-6 - [c185]Yifu Qiao, Wei Meng, Haojie Liu, Nian Peng, Quan Liu:
Design and Validation of Grid Structure Optical Fiber Sensor for Wearable Physiological Monitoring. M2VIP 2023: 1-6 - [c184]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 125-134 - [c183]Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. MICCAI (6) 2023: 497-507 - [c182]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) 2023: 632-641 - [c181]Yan Li, Mengyuan Zhao, Sisi Chi, Quan Liu, Kun Chen, Li Ma:
A Pupil Localization Method Based on Dual Threshold and Contour Compensation. RCAR 2023: 316-321 - [c180]Xumei Xi, Yuke Zhao, Quan Liu, Liwen Ouyang, Yang Wu:
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation. RecSys 2023: 1 - [c179]Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi, Zhenhua Ling, Quan Liu, Xiaoyi Zhao:
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER. SemEval@ACL 2023: 651-659 - [c178]Xiongzhen Zhang, Quan Liu, Lihua Zhang:
Cosine Similarity Based Representation Learning for Adversarial Imitation Learning. SMC 2023: 591-596 - [i68]Caiyuan Chu, Ya Li, Yifan Liu, Jia-Chen Gu, Quan Liu, Yongxin Ge, Guoping Hu:
Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction. CoRR abs/2303.05034 (2023) - [i67]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR abs/2303.05785 (2023) - [i66]Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, Minyi Guo:
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer. CoRR abs/2303.13018 (2023) - [i65]Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo:
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation. CoRR abs/2303.13561 (2023) - [i64]Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo:
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i63]Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi, Zhen-Hua Ling, Quan Liu, Xiaoyi Zhao:
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER. CoRR abs/2305.02517 (2023) - [i62]Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo:
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction. CoRR abs/2305.02893 (2023) - [i61]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu, Guoping Hu:
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding. CoRR abs/2305.09360 (2023) - [i60]Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu, Guoping Hu:
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction. CoRR abs/2305.12389 (2023) - [i59]Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu, Guoping Hu:
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. CoRR abs/2305.12733 (2023) - [i58]Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. CoRR abs/2306.00047 (2023) - [i57]Hanyu Zheng, Quan Liu, Ivan I. Kravchenko, Xiaomeng Zhang, Yuankai Huo, Jason G. Valentine:
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision. CoRR abs/2306.07365 (2023) - [i56]Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. CoRR abs/2307.00290 (2023) - [i55]Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo:
Density-invariant Features for Distant Point Cloud Registration. CoRR abs/2307.09788 (2023) - [i54]Quan Liu, Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo:
Digital Modeling on Large Kernel Metamaterial Neural Network. CoRR abs/2307.11862 (2023) - [i53]Xumei Xi, Yuke Zhao, Quan Liu, Liwen Ouyang, Yang Wu:
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation. CoRR abs/2307.14450 (2023) - [i52]Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, Yuankai Huo:
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology. CoRR abs/2308.06288 (2023) - [i51]Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers. CoRR abs/2309.02563 (2023) - [i50]Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. CoRR abs/2310.00199 (2023) - [i49]Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu:
Untying the Reversal Curse via Bidirectional Language Model Editing. CoRR abs/2310.10322 (2023) - 2022
- [j171]Hao Chen, Quan Liu, Jian Huang, Ke Fu:
Efficiently tracking multi-strategic opponents: A context-aware Bayesian policy reuse approach. Appl. Soft Comput. 121: 108715 (2022) - [j170]Xuefei Zhao, Dong Liu, Li Ma, Quan Liu, Kun Chen, Shane S. Q. Xie, Qingsong Ai:
Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG classification. Biomed. Signal Process. Control. 72(Part): 103338 (2022) - [j169]Cong Du, Pengfei Liu, Yiren Sun, Jingyun Chen, Quan Liu, Markus Oeser:
Characterizing asphalt mixtures with random aggregate gradations based on the three-dimensional locally homogeneous model. Comput. Aided Civ. Infrastructure Eng. 37(13): 1687-1702 (2022) - [j168]Quan Liu, Mincheng Cai, Dujuan Liu, Simeng Ma, Qianhong Zhang, Zhongchun Liu, Jun Yang:
Two stream Non-Local CNN-LSTM network for the auxiliary assessment of mental retardation. Comput. Biol. Medicine 147: 105803 (2022) - [j167]Guanting Du, Fei Zhu, Quan Liu:
Vital node searcher: find out critical node measure with deep reinforcement learning. Connect. Sci. 34(1): 1519-1539 (2022) - [j166]Chunkai Zhang, Wenjing Zheng, Quan Liu, Junli Nie, Hanyu Zhang:
SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation. Expert Syst. Appl. 203: 117391 (2022) - [j165]Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu:
Improving deep reinforcement learning by safety guarding model via hazardous experience planning. Frontiers Comput. Sci. 16(4): 164320 (2022) - [j164]Kaitao Liao, Yuejun Song, Songhua Xie, Yichen Luo, Quan Liu, Hui Lin:
Quantitative Analysis of the Factors Influencing the Spatial Distribution of Benggang Landforms Based on a Geographical Detector. ISPRS Int. J. Geo Inf. 11(6): 337 (2022) - [j163]