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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
[j27]Xu Weng
, Keck Voon Ling, Haochen Liu:
PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning With Android Raw GNSS Measurements. IEEE Internet Things J. 11(14): 24973-24983 (2024)- [j26]Yifan Wang, Zhongshuo Lin, Yangfei Liao, Haochen Liu, Hehu Xie:
Solving High-Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators. J. Sci. Comput. 101(3): 67 (2024) - [j25]Haochen Liu, Lawrence Tinsley, Kailun Deng, Yizhong Wang, Andrew Starr, Zhenmao Chen, Yifan Zhao:
A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites. IEEE Trans. Ind. Electron. 71(3): 3163-3172 (2024) - [j24]Haohan Yang, Haochen Liu, Zhongxu Hu, Anh-Tu Nguyen, Thierry-Marie Guerra, Chen Lv:
Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(2): 2034-2045 (2024) - [j23]Xiaoyu Mo, Haochen Liu, Zhiyu Huang, Xiuxian Li, Chen Lv:
Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors. IEEE Trans. Intell. Transp. Syst. 25(6): 5651-5663 (2024) - [j22]Wenhui Huang, Haochen Liu, Zhiyu Huang, Chen Lv:
Safety-Aware Human-in-the-Loop Reinforcement Learning With Shared Control for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(11): 16181-16192 (2024) - [j21]Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv:
Augmenting Reinforcement Learning With Transformer-Based Scene Representation Learning for Decision-Making of Autonomous Driving. IEEE Trans. Intell. Veh. 9(3): 4405-4421 (2024) - [j20]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15222-15236 (2024) - [c36]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - [c35]Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan:
Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) 2024: 1944-1954 - [c34]Xu Weng, Keck Voon Ling, Haochen Liu, Kun Cao:
Towards End-to-End GPS Localization with Neural Pseudorange Correction. FUSION 2024: 1-7 - [c33]Xiaoyu Mo, Haochen Liu, Zhiyu Huang, Jianwu Fang, Jianru Xue, Chen Lv:
Scalable Traffic Simulation for Autonomous Driving via Multi-Agent Goal Assignment and Autoregressive Goal-Directed Planning. IV 2024: 424-429 - [c32]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT 2024: 3346-3356 - [i31]Xu Weng, Keck Voon Ling, Haochen Liu, Kun Cao:
Towards End-to-End GPS Localization with Neural Pseudorange Correction. CoRR abs/2401.10685 (2024) - [i30]Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv:
Hybrid-Prediction Integrated Planning for Autonomous Driving. CoRR abs/2402.02426 (2024) - [i29]Zhongshuo Lin, Haochen Liu, Hehu Xie:
Tensor Neural Network Based Machine Learning Method for Elliptic Multiscale Problems. CoRR abs/2403.16380 (2024) - [i28]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - [i27]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR abs/2406.15507 (2024) - 2023
- [j19]Haochen Liu, Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Cristobal Ruiz-Carcel, Agusmian Partogi Ompusunggu, Amanda Hall, Robert Anderson:
An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator. Comput. Electr. Eng. 110: 108874 (2023) - [j18]Miftahur Rahman, Haochen Liu, Mohammed Masri, Isidro Durazo-Cardenas, Andrew Starr:
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy. Comput. Ind. 148: 103900 (2023) - [j17]Haochen Liu, Yifan Zhao, Anna Zaporowska, Zakwan Skaf:
A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems. Neural Comput. Appl. 35(4): 2973-2989 (2023) - [j16]Kailun Deng, Haochen Liu, Lichao Yang, Sri Addepalli, Yifan Zhao:
Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection. Neural Comput. Appl. 35(15): 11207-11221 (2023) - [j15]Xiaoyu Mo, Yang Xing, Haochen Liu, Chen Lv:
Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks. IEEE Robotics Autom. Lett. 8(6): 3685-3692 (2023) - [j14]Xiaohua Sun, Haochen Liu, Peng Liang:
A Design of Automatic Magnetic Properties Measurement System for Under/Postgraduate Open Experimental Project: Effective, Low Cost, and Scalable. IEEE Trans. Educ. 66(2): 104-112 (2023) - [j13]Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. 14(1): 4:1-4:59 (2023) - [j12]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(7): 7244-7258 (2023) - [c31]Dequan Zheng, Haochen Liu, Feng Yu:
Research on Recognition Textual Entailment with Integrated Attention Mechanism and Lexical Information. IALP 2023: 1-6 - [c30]Zhiyu Huang, Haochen Liu, Chen Lv:
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. ICCV 2023: 3880-3890 - [c29]Hongjiang Liu, Zhigang Li, Tao Zhou, Yajing Niu, Haochen Liu:
An Improved FFS Model for Student Grade Prediction. ICIEAI 2023: 360-366 - [c28]Haochen Liu, Zhiyu Huang, Chen Lv:
Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving. ICRA 2023: 1449-1455 - [c27]Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu:
Dynamic Edge Caching via Online Meta-RL. IJCNN 2023: 1-10 - [c26]Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv:
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving. ITSC 2023: 4820-4826 - [c25]Haochen Liu, Zhiyu Huang, Chen Lv:
Occupancy Prediction-Guided Neural Planner for Autonomous Driving. ITSC 2023: 4859-4865 - [c24]Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu:
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. WWW 2023: 1109-1117 - [c23]Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. WWW 2023: 3723-3733 - [i26]Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv:
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving. CoRR abs/2302.03939 (2023) - [i25]Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. CoRR abs/2302.08266 (2023) - [i24]Zhiyu Huang, Haochen Liu, Chen Lv:
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. CoRR abs/2303.05760 (2023) - [i23]Haochen Liu, Zhiyu Huang, Chen Lv:
Occupancy Prediction-Guided Neural Planner for Autonomous Driving. CoRR abs/2305.03303 (2023) - [i22]Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan:
An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. CoRR abs/2309.08777 (2023) - [i21]Xu Weng, Keck Voon Ling, Haochen Liu:
PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements. CoRR abs/2309.12204 (2023) - [i20]Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li:
Knowledge Editing for Large Language Models: A Survey. CoRR abs/2310.16218 (2023) - [i19]Yifan Wang, Zhongshuo Lin, Yangfei Liao, Haochen Liu, Hehu Xie:
Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators. CoRR abs/2311.02732 (2023) - 2022
- [j11]Haochen Liu, Wenhan Li, Lichao Yang, Kailun Deng, Yifan Zhao:
Automatic reconstruction of irregular shape defects in pulsed thermography using deep learning neural network. Neural Comput. Appl. 34(24): 21701-21714 (2022) - [j10]Masoumeh Rahimi, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson:
A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems. Sensors 22(11): 4185 (2022) - [j9]Haochen Liu, Yaoyuan Zhang, Xiaoyu Zhang, Mohammed El-Hajjar, Lie-Liang Yang:
Deep Learning Assisted Adaptive Index Modulation for mmWave Communications With Channel Estimation. IEEE Trans. Veh. Technol. 71(9): 9186-9201 (2022) - [c22]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. ACL (1) 2022: 1797-1806 - [c21]Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM 2022: 3152-3161 - [c20]Jamell Dacon, Haochen Liu, Jiliang Tang:
Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference. COLING 2022: 1442-1454 - [c19]Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu:
Enhancing Individual Fairness through Propensity Score Matching. DSAA 2022: 1-10 - [c18]Haochen Liu:
Bearing-Only Passive Location System Based on Multi-Machine Cooperation. ICITEE 2022: 222-231 - [c17]Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv:
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. IV 2022: 921-928 - [c16]Haochen Liu:
Trustworthy Machine Learning: Fairness and Robustness. WSDM 2022: 1553-1554 - [c15]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c14]Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW 2022: 2048-2057 - [i18]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving. CoRR abs/2207.10422 (2022) - [i17]Haochen Liu, Zhiyu Huang, Chen Lv:
STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer. CoRR abs/2208.00394 (2022) - [i16]Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv:
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving. CoRR abs/2208.12263 (2022) - [i15]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving. CoRR abs/2212.08787 (2022) - 2021
- [j8]Wentao Luo, Jianfu Zhang, Pingfa Feng, Haochen Liu, Dingwen Yu, Zhijun Wu:
An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm. Appl. Intell. 51(6): 3405-3420 (2021) - [j7]Weixiang Du, Haochen Liu, Yitian Zhao, Adisorn Sirikham, Sri Addepalli, Yifan Zhao:
A Miniaturized Active Thermography System to Inspect Composite Laminates. IEEE Trans. Ind. Informatics 17(5): 3314-3323 (2021) - [c13]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. ACL/IJCNLP (Findings) 2021: 74-85 - [c12]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM 2021: 896-905 - [c11]Miftahur Rahman, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson:
Towards an Autonomous RIRS: Design, Structure Investigation and Framework. ICMRE 2021: 164-168 - [c10]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. KDD 2021: 3959-3967 - [c9]Amir Rasouli, Soheil Alizadeh, Iuliia Kotseruba, Yi Ma, Hebin Liang, Yuan Tian, Zhiyu Huang, Haochen Liu, Jingda Wu, Randy Goebel, Tianpei Yang, Matthew E. Taylor, Liam Paull, Xi Chen:
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) 2021: 73-84 - [c8]Jamell Dacon, Haochen Liu:
Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles. WWW (Companion Volume) 2021: 385-392 - [c7]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [i14]Haochen Liu, Zhiyu Huang, Chen Lv:
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. CoRR abs/2102.09243 (2021) - [i13]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR abs/2105.02778 (2021) - [i12]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. CoRR abs/2106.06713 (2021) - [i11]Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. CoRR abs/2107.06641 (2021) - [i10]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. CoRR abs/2110.08038 (2021) - 2020
- [j6]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. 17(2): 151-178 (2020) - [j5]Haochen Liu, Siyao Lu, Mohammed El-Hajjar, Lie-Liang Yang:
Machine Learning Assisted Adaptive Index Modulation for mmWave Communications. IEEE Open J. Commun. Soc. 1: 1425-1441 (2020) - [j4]Haochen Liu, Lawrence Tinsley, Wayne Lam, Sri Addepalli, Xiaochen Liu, Andrew Starr, Yifan Zhao:
A Novel Inspection Technique for Electronic Components Using Thermography (NITECT). Sensors 20(17): 5013 (2020) - [j3]Haochen Liu, Cuixiang Pei, Shejuan Xie, Yong Li, Yifan Zhao, Zhenmao Chen:
Inversion Technique for Quantitative Infrared Thermography Evaluation of Delamination Defects in Multilayered Structures. IEEE Trans. Ind. Informatics 16(7): 4592-4602 (2020) - [c6]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) 2020: 269-281 - [c5]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. COLING 2020: 1826-1840 - [c4]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING 2020: 4403-4416 - [c3]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) 2020: 893-903 - [c2]Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang:
Automated Embedding Size Search in Deep Recommender Systems. SIGIR 2020: 2307-2316 - [i9]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR abs/2005.07845 (2020) - [i8]Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang:
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR abs/2005.13170 (2020) - [i7]Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang:
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR abs/2006.10141 (2020) - [i6]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i5]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR abs/2009.13028 (2020) - [i4]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. CoRR abs/2011.00192 (2020)
2010 – 2019
- 2019
- [i3]Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang:
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR abs/1909.06044 (2019) - [i2]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR abs/1909.08072 (2019) - [i1]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR abs/1910.10486 (2019) - 2018
- [j2]Haochen Liu, Shejuan Xie, Cuixiang Pei, Jinxing Qiu, Yong Li, Zhenmao Chen:
Development of a Fast Numerical Simulator for Infrared Thermography Testing Signals of Delamination Defect in a Multilayered Plate. IEEE Trans. Ind. Informatics 14(12): 5544-5552 (2018) - 2017
- [j1]Jin Cao, Maode Ma, Xilei Wang, Haochen Liu:
A Selective Re-Query Case Sensitive Encoding Scheme Against DNS Cache Poisoning Attacks. Wirel. Pers. Commun. 94(3): 1263-1279 (2017) - [c1]Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu:
Effective Representing of Information Network by Variational Autoencoder. IJCAI 2017: 2103-2109
Coauthor Index
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