Jinxin Liu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 85

Top Topics

Open Information Extraction

Vehicle Trajectory

Reinforcement Learning

Imitation Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs. CoRR (2024)
Jinxin Liu, Xiangyu Yang, Shibin Sheng
Social Ties and New Venture Performance: The Moderated Mediating Effects of Entrepreneurial Motivations. IEEE Trans. Engineering Management 71 (2024)
Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. AAAI (2024)
Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lei Hou, Juanzi Li
Probing Structured Semantics Understanding and Generation of Language Models via Question Answering. CoRR (2024)
Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. ACL (Findings) (2024)
Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. CoRR (2024)
Yachen Kang, Jinxin Liu, Donglin Wang
Off-Dynamics Inverse Reinforcement Learning. IEEE Access 12 (2024)
Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam, Dmitry Bezrukov, Daniel Varoli, Alex Aliper, Daniil Polykovskiy, Krishna M. Padmanabha Das, Jamie Snider, Anna Lyakisheva, Ardalan Hosseini Mansob, Zhong Yao, Lela Bitar, Eugene Radchenko, Xiao Ding, Jinxin Liu, Fanye Meng, Feng Ren, Yudong Cao, Igor Stagljar, Alán Aspuru-Guzik, Alex Zhavoronkov
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS. CoRR (2024)
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR (2024)
Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang
Context-Former: Stitching via Latent Conditioned Sequence Modeling. CoRR (2024)
Heye Huang, Jinxin Liu, Guanya Shi, Shiyue Zhao, Boqi Li, Jianqiang Wang
Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments. CoRR (2024)
Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang
Reinformer: Max-Return Sequence Modeling for Offline RL. CoRR (2024)
Jinxin Liu, Petar Djukic, Michel Kulhandjian, Burak Kantarci
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data. CoRR (2024)
Jinxin Liu, Chao Sun, Zhi Feng, Renhe Guan, Jindong Chang, Guoqiang Hu
A Distributed Optimization Approach for Collaborative Object Lifting Using Multiple Aerial Robots. Unmanned Syst. 12 (2) (2024)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. CoRR (2023)
Jinxin Liu, Lipeng Zu, Li He, Donglin Wang
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning. CoRR (2023)
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. ICML (2023)
Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo
Behavior Proximal Policy Optimization. ICLR (2023)
Jinxin Liu, Guoqiang Hu
Relative Localization Estimation for Multiple Robots via the Rotating Ultra-Wideband Tag. IEEE Robotics Autom. Lett. 8 (7) (2023)
Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang
Beyond Reward: Offline Preference-guided Policy Optimization. CoRR (2023)
Jinxin Liu, Yingyuan Xiao, Wenguang Zheng, Ching-Hsien Hsu
SIGA: social influence modeling integrating graph autoencoder for rating prediction. Appl. Intell. 53 (6) (2023)
Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Lei Hou, Juanzi Li, Xu Bin
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction. EMNLP (2023)
Ziqi Zhang, Xiao Xiong, Zifeng Zhuang, Jinxin Liu, Donglin Wang
SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning. CoRR (2023)
Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. NeurIPS (2023)
Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. CoRR (2023)
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR (2023)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. NeurIPS (2023)
Jinxin Liu, Lipeng Zu, Li He, Donglin Wang
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning. CoRL (2023)
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. CoRR (2023)
Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang
Beyond Reward: Offline Preference-guided Policy Optimization. ICML (2023)
Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. CoRR (2023)
Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang
Offline Imitation Learning with Variational Counterfactual Reasoning. NeurIPS (2023)
Hongbing Shang, Chuang Sun, Jinxin Liu, Xuefeng Chen, Ruqiang Yan
Defect-aware transformer network for intelligent visual surface defect detection. Adv. Eng. Informatics 55 (2023)
Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. CoRR (2023)
Zhiyan Chen, Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats. ACM Comput. Surv. 55 (5) (2023)
Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Jiuding Sun, Yuxiang Chen, Lei How, Juanzi Li, Bin Xu
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction. CoRR (2023)
Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo
Behavior Proximal Policy Optimization. CoRR (2023)
Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang
Adaptive Proximal Policy Optimization with Upper Confidence Bound. CoRR (2023)
Hongbing Shang, Jingyao Wu, Chuang Sun, Jinxin Liu, Xuefeng Chen, Ruqiang Yan
Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade. IEEE Trans. Ind. Informatics 19 (8) (2023)
Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic
A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic. IEEE Netw. Lett. 4 (3) (2022)
Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection. GLOBECOM (2022)
Jinxin Liu, Hongyin Zhang, Donglin Wang
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning. ICLR (2022)
Jinxin Liu, Yingyuan Xiao, Ke Zhu, Wenguang Zheng, Ching-Hsien Hsu
Hybrid Variational Autoencoder for Collaborative Filtering. CSCWD (2022)
Jinxin Liu, Hongyin Zhang, Donglin Wang
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning. CoRR (2022)
Die Dai, Jiaying Zhu, Chuqing Sun, Min Li, Jinxin Liu, Sicheng Wu, Ning Kang, Lijie He, Xing-Ming Zhao, Wei-Hua Chen
GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison. Nucleic Acids Res. 50 (D1) (2022)
Keqiang Li, Hui Xiong, Dameng Yu, Jinxin Liu, Yu-ang Guo, Jianqiang Wang
An End-to-End Multi-Task Learning Model for Drivable Road Detection via Edge Refinement and Geometric Deformation. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Keqiang Li, Hui Xiong, Jinxin Liu, Qing Xu, Jianqiang Wang
Real-Time Monocular Joint Perception Network for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yanbei Liu, Jinxin Liu, Zhongqiang Wang, Xiao Wang, Fang Zhang, Zhitao Xiao
Binarized network embedding with community structural information. Inf. Sci. 616 (2022)
Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. AAAI (2022)
Zhiyan Chen, Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats. CoRR (2022)
Tinghan Wang, Yugong Luo, Jinxin Liu, Rui Chen, Keqiang Li
End-to-End Self-Driving Approach Independent of Irrelevant Roadside Objects With Auto-Encoder. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Jinxin Liu, Michele Nogueira, Johan Fernandes, Burak Kantarci
Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems. IEEE Commun. Surv. Tutorials 24 (1) (2022)
Jinxin Liu, Jiaxin Shi, Ji Qi, Lei Hou, Juanzi Li, Qi Tian
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms. EMNLP (Findings) (2022)
Ji Qi, Bin Xu, Kaisheng Zeng, Jinxin Liu, Jifan Yu, Qi Gao, Juanzi Li, Lei Hou
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction. CoRR (2022)
Jinxin Liu, Xingwu Zhang, Chenxi Wang, Ruqiang Yan
Active Vibration Control Technology in China. IEEE Instrum. Meas. Mag. 25 (2) (2022)
Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection. CoRR (2022)
Jinxin Liu, Murat Simsek, Burak Kantarci, Melike Erol-Kantarci, Andrew J. Malton, Andrew Walenstein
Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts. CoRR (2021)
Jinxin Liu, Yingyuan Xiao, Wenguang Zheng
LCW: A Lightweight Recommendation Framework for Non-profit Crowdfunding Projects. CSSE (2021)
Tinghan Wang, Yugong Luo, Jinxin Liu, Keqiang Li
Multi-Objective End-to-End Self-Driving Based on Pareto-Optimal Actor-Critic Approach. ITSC (2021)
Zheshuai Yang, Laihao Yang, Lu Xu, Xuefeng Chen, Yanjie Guo, Jinxin Liu, Yu Sun
A Continuum Robot with Twin-Pivot Structure: The Kinematics and Shape Estimation. ICIRA (1) (2021)
Jinxin Liu, Chengdi Wang, Jixiang Guo, Jun Shao, Xiuyuan Xu, Xiaoxin Liu, Hongxia Li, Weimin Li, Zhang Yi
RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning. Int. J. Comput. Assist. Radiol. Surg. 16 (6) (2021)
Tianyi Zhao, Jinxin Liu, Xi Zeng, Wei Wang, Sheng Li, Tianyi Zang, Jiajie Peng, Yang Yang
Prediction and collection of protein-metabolite interactions. Briefings Bioinform. 22 (5) (2021)
Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. NeurIPS (2021)
Jinxin Liu, Xiaobin Zhang, Yingnan Ren, Guozhao Liu, Zhiyuan Guo
Switch Open and Short Circuit Fault diagnosis and Fault Tolerant Operation for Push-Pull Converter. IECON (2021)
Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang
Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning. IJCNN (2021)
Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. CoRR (2021)
Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. CoRR (2021)
Yachen Kang, Jinxin Liu, Xin Cao, Donglin Wang
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain. CoRR (2021)
Jinxin Liu, Hui Xiong, Tinghan Wang, Heye Huang, Zhihua Zhong, Yugong Luo
Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty. Ind. Robot 48 (6) (2021)
Jinxin Liu, Hui Xiong, Heye Huang, Yugong Luo, Zhihua Zhong, Keqiang Li
Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model. IV (2020)
Yong Zhang, Jinxin Liu, Shibin Sheng
Strategic orientations and participation intentions for technical standardisation. Technol. Anal. Strateg. Manag. 32 (8) (2020)
Fang Zhang, Wen Qin, Yanbei Liu, Zhitao Xiao, Jinxin Liu, Qi Wang, Kaihua Liu
A Dual-Channel convolution neural network for image smoke detection. Multim. Tools Appl. 79 (45-46) (2020)
Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
Independent Skill Transfer for Deep Reinforcement Learning. IJCAI (2020)
Liangdong Yang, Jinxin Liu, Qian Zhang, Ruqiang Yan, Xuefeng Chen
Frequency domain spline adaptive filters. Signal Process. 177 (2020)
Mingfang Chen, Kaixiang Zhang, Sen Wang, Fei Liu, Jinxin Liu, Yongxia Zhang
Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory. Complex. 2020 (2020)
Heye Huang, Jianqiang Wang, Cong Fei, Xunjia Zheng, Yibin Yang, Jinxin Liu, Xiangbin Wu, Qing Xu
A probabilistic risk assessment framework considering lane-changing behavior interaction. Sci. China Inf. Sci. 63 (9) (2020)
Longze Wang, Jing Wu, Rongfang Yuan, Delong Zhang, Jinxin Liu, Siyu Jiang, Yan Zhang, Meicheng Li
Dynamic Adaptive Cross-Chain Trading Mode for Multi-Microgrid Joint Operation. Sensors 20 (21) (2020)
Jinxin Liu, Burak Kantarci, Carlisle Adams
Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset. WiseML@WiSec (2020)
Jinxin Liu, Qiangxing Tian, Donglin Wang
Multivariate Time Series Prediction with PID-based Residual Compensation. IJCNN (2020)
Qiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang
Time Series Prediction with Interpretable Data Reconstruction. CIKM (2019)
Kuangpu Liu, Xiaobin Zhang, Yanjun Dong, Jinxin Liu, Yingnan Ren, Hongxia Wang
Short-Circuit Current Protection for AC Solid State Power Controller Using the Current Derivative. IECON (2019)
Liangdong Yang, Jinxin Liu, Ruqiang Yan, Xuefeng Chen
Spline adaptive filter with arctangent-momentum strategy for nonlinear system identification. Signal Process. 164 (2019)
Jinxin Liu, Yugong Luo, Hui Xiong, Tinghan Wang, Heye Huang, Zhihua Zhong
An Integrated Approach to Probabilistic Vehicle Trajectory Prediction via Driver Characteristic and Intention Estimation. ITSC (2019)
Weiyu Dong, Jinxin Liu, Xuyan Qi, Hongqi He, Liehui Jiang
基于热例程的动态二进制翻译优化 (Hot-routine Based Optimization of Dynamic Binary Translation). 计算机科学 43 (5) (2016)
Jinxin Liu, Xuefeng Chen
Adaptive Compensation of Misequalization in Narrowband Active Noise Equalizer Systems. IEEE ACM Trans. Audio Speech Lang. Process. 24 (12) (2016)
Jinxiang Pian, Dan Wang, Yue Zhou, Jinxin Liu, Yuanwei Qi
Precision Motion Control Method Based on Artificial Bee Colony Algorithm. ICHSA (2015)
Lihong He, Jinxin Liu
Optimal Design of Enterprise Human Resource Training Program. BIFE (2013)
Xin Wang, Shaoyuan Li, Zhongjie Wang, Jun Tao, Jinxin Liu
A Multiple RBF NN Modeling Approach to BOF Endpoint Estimation in Steelmaking Process. ISNN (2) (2004)