Haochen Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 90

Top Topics

Motion Prediction

Autonomous Driving

Textual Entailment

Top Venues

IEEE Trans. Ind. Informatics

Publications

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) (2024)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR (2024)
Haochen Liu, Song Wang, Chen Chen, Jundong Li
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR (2024)
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) (2024)
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) (2024)
Zhongshuo Lin, Haochen Liu, Hehu Xie
Tensor Neural Network Based Machine Learning Method for Elliptic Multiscale Problems. CoRR (2024)
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)
Haochen Liu, Song Wang, Chen Chen, Jundong Li
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT (2024)
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) (2024)
Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv
Hybrid-Prediction Integrated Planning for Autonomous Driving. CoRR (2024)
Xu Weng, KV Ling, Haochen Liu, Kun Cao
Towards End-to-End GPS Localization with Neural Pseudorange Correction. CoRR (2024)
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) (2024)
Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan
Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) (2024)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) (2024)
Hongjiang Liu, Zhigang Li, Tao Zhou, Yajing Niu, Haochen Liu
An Improved FFS Model for Student Grade Prediction. ICIEAI (2023)
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) (2023)
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) (2023)
Zhiyu Huang, Haochen Liu, Chen Lv
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. ICCV (2023)
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) (2023)
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
Fairly Adaptive Negative Sampling for Recommendations. WWW (2023)
Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving. ITSC (2023)
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) (2023)
Haochen Liu, Zhiyu Huang, Chen Lv
Occupancy Prediction-Guided Neural Planner for Autonomous Driving. CoRR (2023)
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) (2023)
Xiaoyu Mo, Yang Xing, Haochen Liu, Chen Lv
Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks. IEEE Robotics Autom. Lett. 8 (6) (2023)
Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
Knowledge Editing for Large Language Models: A Survey. CoRR (2023)
Haochen Liu, Zhiyu Huang, Chen Lv
Occupancy Prediction-Guided Neural Planner for Autonomous Driving. ITSC (2023)
Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. WWW (2023)
Zhiyu Huang, Haochen Liu, Chen Lv
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. CoRR (2023)
Haochen Liu, Zhiyu Huang, Chen Lv
Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving. ICRA (2023)
Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu
Dynamic Edge Caching via Online Meta-RL. IJCNN (2023)
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
Fairly Adaptive Negative Sampling for Recommendations. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Xu Weng, Keck Voon Ling, Haochen Liu
PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements. CoRR (2023)
Haochen Liu, Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Cristobal Ruiz-Carcel, Agusmian 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 (2023)
Dequan Zheng, Haochen Liu, Feng Yu
Research on Recognition Textual Entailment with Integrated Attention Mechanism and Lexical Information. IALP (2023)
Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving. CoRR (2023)
Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM (2022)
Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu
Enhancing Individual Fairness through Propensity Score Matching. DSAA (2022)
Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving. CoRR (2022)
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) (2022)
Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. IV (2022)
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving. CoRR (2022)
Jamell Dacon, Haochen Liu, Jiliang Tang
Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference. COLING (2022)
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) (2022)
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving. CoRR (2022)
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)
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)
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) (2022)
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)
Haochen Liu
Trustworthy Machine Learning: Fairness and Robustness. WSDM (2022)
Haochen Liu
Bearing-Only Passive Location System Based on Multi-Machine Cooperation. ICITEE (2022)
Haochen Liu, Zhiyu Huang, Chen Lv
STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer. CoRR (2022)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations. KDD (2021)
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) (2021)
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) (2021)
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)
Miftahur Rahman, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson
Towards an Autonomous RIRS: Design, Structure Investigation and Framework. ICMRE (2021)
Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
Toward Annotator Group Bias in Crowdsourcing. CoRR (2021)
Haochen Liu, Zhiyu Huang, Chen Lv
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. CoRR (2021)
Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR (2021)
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)
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)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations. CoRR (2021)
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)
Jamell Dacon, Haochen Liu
Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles. WWW (Companion Volume) (2021)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. CoRR (2021)
Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
Memory-efficient Embedding for Recommendations. CoRR (2020)
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) (2020)
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)
Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
Automated Embedding Size Search in Deep Recommender Systems. SIGIR (2020)
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) (2020)
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 (2020)
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)
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING (2020)
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) (2020)
Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR (2020)
Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR (2020)
Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
Personalized Multimodal Feedback Generation in Education. CoRR (2020)
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 (2020)
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 (2020)
Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
Personalized Multimodal Feedback Generation in Education. COLING (2020)
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR (2019)
Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR (2019)
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 (2019)
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) (2018)
Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu
Effective Representing of Information Network by Variational Autoencoder. IJCAI (2017)
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) (2017)