Haochen Liu

According to our database, Haochen Liu authored at least 68 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites.

Haochen Liu, Lawrence Tinsley, Kailun Deng, Yizhong Wang, Andrew Starr, Zhenmao Chen, Yifan Zhao

IEEE Trans. Ind. Electron., March, 2024

Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach.

Haohan Yang, Haochen Liu, Zhongxu Hu, Anh-Tu Nguyen, Thierry-Marie Guerra, Chen Lv

IEEE Trans. Intell. Transp. Syst., February, 2024

Tensor Neural Network Based Machine Learning Method for Elliptic Multiscale Problems.

Zhongshuo Lin, Haochen Liu, Hehu Xie

CoRR, 2024

Hybrid-Prediction Integrated Planning for Autonomous Driving.

Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv

CoRR, 2024

Towards End-to-End GPS Localization with Neural Pseudorange Correction.

Xu Weng, KV Ling, Haochen Liu, Kun Cao

CoRR, 2024

Self-training Strategies for Sentiment Analysis: An Empirical Study.

Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator.

Haochen Liu, Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Cristobal Ruiz-Carcel, Agusmian Partogi Ompusunggu, Amanda Hall, Robert Anderson

Comput. Electr. Eng., September, 2023

Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks.

Xiaoyu Mo, Yang Xing, Haochen Liu, Chen Lv

IEEE Robotics Autom. Lett., June, 2023

A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy.

Miftahur Rahman, Haochen Liu, Mohammed Masri, Isidro Durazo-Cardenas, Andrew Starr

Comput. Ind., June, 2023

Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection.

Kailun Deng, Haochen Liu, Lichao Yang, Sri Addepalli, Yifan Zhao

Neural Comput. Appl., May, 2023

A Design of Automatic Magnetic Properties Measurement System for Under/Postgraduate Open Experimental Project: Effective, Low Cost, and Scalable.

Xiaohua Sun, Haochen Liu, Peng Liang

IEEE Trans. Educ., April, 2023

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

ACM Trans. Intell. Syst. Technol., February, 2023

A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems.

Haochen Liu, Yifan Zhao, Anna Zaporowska, Zakwan Skaf

Neural Comput. Appl., February, 2023

Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving.

Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv

IEEE Trans. Intell. Transp. Syst., 2023

Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators.

Yifan Wang, Zhongshuo Lin, Yangfei Liao, Haochen Liu, Hehu Xie

CoRR, 2023

Knowledge Editing for Large Language Models: A Survey.

Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li

CoRR, 2023

PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements.

Xu Weng, Keck Voon Ling, Haochen Liu

CoRR, 2023

An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis.

Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan

CoRR, 2023

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.

Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu

Proceedings of the ACM Web Conference 2023, 2023

Fairly Adaptive Negative Sampling for Recommendations.

Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li

Proceedings of the ACM Web Conference 2023, 2023

Occupancy Prediction-Guided Neural Planner for Autonomous Driving.

Haochen Liu, Zhiyu Huang, Chen Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.

Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Dynamic Edge Caching via Online Meta-RL.

Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving.

Haochen Liu, Zhiyu Huang, Chen Lv

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving.

Zhiyu Huang, Haochen Liu, Chen Lv

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Research on Recognition Textual Entailment with Integrated Attention Mechanism and Lexical Information.

Dequan Zheng, Haochen Liu, Feng Yu

Proceedings of the International Conference on Asian Language Processing, 2023

2022

Deep Learning Assisted Adaptive Index Modulation for mmWave Communications With Channel Estimation.

Haochen Liu, Yaoyuan Zhang, Xiaoyu Zhang, Mohammed El-Hajjar, Lie-Liang Yang

IEEE Trans. Veh. Technol., 2022

A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems.

Masoumeh Rahimi, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson

Sensors, 2022

Automatic reconstruction of irregular shape defects in pulsed thermography using deep learning neural network.

Haochen Liu, Wenhan Li, Lichao Yang, Kailun Deng, Yifan Zhao

Neural Comput. Appl., 2022

Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving.

Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv

CoRR, 2022

STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer.

Haochen Liu, Zhiyu Huang, Chen Lv

CoRR, 2022

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving.

Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv

CoRR, 2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.

Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Trustworthy Machine Learning: Fairness and Robustness.

Haochen Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.

Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Bearing-Only Passive Location System Based on Multi-Machine Cooperation.

Haochen Liu

Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

Enhancing Individual Fairness through Propensity Score Matching.

Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference.

Jamell Dacon, Haochen Liu, Jiliang Tang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.

Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Toward Annotator Group Bias in Crowdsourcing.

Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Miniaturized Active Thermography System to Inspect Composite Laminates.

Weixiang Du, Haochen Liu, Yitian Zhao, Adisorn Sirikham, Sri Addepalli, Yifan Zhao

IEEE Trans. Ind. Informatics, 2021

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang

CoRR, 2021

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.

Haochen Liu, Zhiyu Huang, Chen Lv

CoRR, 2021

An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm.

Wentao Luo, Jianfu Zhang, Pingfa Feng, Haochen Liu, Dingwen Yu, Zhijun Wu

Appl. Intell., 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.

Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long

Proceedings of the WWW '21: The Web Conference 2021, 2021

Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles.

Jamell Dacon, Haochen Liu

Proceedings of the Companion of The Web Conference 2021, 2021

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

AutoLoss: Automated Loss Function Search in Recommendations.

Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards an Autonomous RIRS: Design, Structure Investigation and Framework.

Miftahur Rahman, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson

Proceedings of the 7th International Conference on Mechatronics and Robotics Engineering, 2021

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang

Proceedings of the IEEE International Conference on Data Mining, 2021

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification.

Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Inversion Technique for Quantitative Infrared Thermography Evaluation of Delamination Defects in Multilayered Structures.

Haochen Liu, Cuixiang Pei, Shejuan Xie, Yong Li, Yifan Zhao, Zhenmao Chen

IEEE Trans. Ind. Informatics, 2020

A Novel Inspection Technique for Electronic Components Using Thermography (NITECT).

Haochen Liu, Lawrence Tinsley, Wayne Lam, Sri Addepalli, Xiaochen Liu, Andrew Starr, Yifan Zhao

Sensors, 2020

Machine Learning Assisted Adaptive Index Modulation for mmWave Communications.

Haochen Liu, Siyao Lu, Mohammed El-Hajjar, Lie-Liang Yang

IEEE Open J. Commun. Soc., 2020

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review.

Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain

Int. J. Autom. Comput., 2020

Memory-efficient Embedding for Recommendations.

Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long

CoRR, 2020

Self-supervised Learning on Graphs: Deep Insights and New Direction.

Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang

CoRR, 2020

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models.

Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang

CoRR, 2020

Automated Embedding Size Search in Deep Recommender Systems.

Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.

Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Personalized Multimodal Feedback Generation in Education.

Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Does Gender Matter? Towards Fairness in Dialogue Systems.

Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Neural Multi-task Learning for Teacher Question Detection in Online Classrooms.

Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Say What I Want: Towards the Dark Side of Neural Dialogue Models.

Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang

CoRR, 2019

2018

Development of a Fast Numerical Simulator for Infrared Thermography Testing Signals of Delamination Defect in a Multilayered Plate.

Haochen Liu, Shejuan Xie, Cuixiang Pei, Jinxing Qiu, Yong Li, Zhenmao Chen

IEEE Trans. Ind. Informatics, 2018

2017

A Selective Re-Query Case Sensitive Encoding Scheme Against DNS Cache Poisoning Attacks.

Jin Cao, Maode Ma, Xilei Wang, Haochen Liu

Wirel. Pers. Commun., 2017

Effective Representing of Information Network by Variational Autoencoder.

Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017