Haochen Liu - RankMe

128 papers A* 11A 3B 6C 3Journal 85Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cooperative Base Station Assignment and Resource Allocation for 6G ISAC Network. IEEE Trans. Veh. Technol. Jiajia Liao, Luping Xiang, Shida Zhong, Lixia Xiao, Haochen Liu, Kun Yang
2026	J	`jnl`	Interactive structural topology optimization via skeleton control. Comput. Aided Geom. Des. Zhi Li, Haochen Liu, Yi Min Xie
2026	J	`jnl`	KAT-Coder-V2 Technical Report. CoRR Fengxiang Li, Han Zhang, Haoyang Huang, Jinghui Wang, Jinhua Hao, Kun Yuan, Mengtong Li, Minglei Zhang, Pengcheng Xu, Wenhao Zhuang, Yizhen Shao, Zongxian Feng, Can Tang, Chao Wang, Chengxiao Tong, Fan Yang, Gang Xiong, Haixuan Gao, Han Gao, Hao Wang, Haochen Liu, Hongliang Sun, Jiabao Li, Jingwen Chang, Jun Du, Junyi Peng, Leizhen Cui, Meimei Jing, Mingqi Wu, Shangpeng Yan, Shaotong Qi, Suzhe Xu, Wenxuan Zhao, Xianda Sun, Xuan Xie, Yanbo Wang, Yao Xia, Yinghan Cui, Yingpeng Chen, Yong Wang, Yuze Shi, Zhiwei Shen, Ziyu Wang, Ming Sun, Lin Ye, Bin Chen
2026	J	`jnl`	Reinforced Refinement With Self-Aware Expansion for End-to-End Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. Haochen Liu, Tianyu Li, Haohan Yang, Li Chen, Caojun Wang, Ke Guo, Haochen Tian, Hongchen Li, Hongyang Li, Chen Lv
2026	J	`jnl`	UAV-Enabled Joint Sensing, Communication, Powering, and Backhaul Transmission in Maritime Monitoring Networks. IEEE Internet Things J. Bohan Li, Jiahao Liu, Yujun Liang, Qian Li, Haochen Liu, Yaoyuan Zhang, Junsheng Mu, Shahid Mumtaz, Sheng Chen
2025	J	`jnl`	A Transformer-Based Conditional GAN with Multiple Instance Learning for UAV Signal Detection and Classification. CoRR Haochen Liu, Jia Bi, Xiaomin Wang, Xin Yang, Ling Wang
2025	J	`jnl`	A numerical study of two-phase flows in complex domain with a generalized Navier slip and penetration boundary condition on permeable boundaries. J. Comput. Phys. Li Luo, Qian Zhang, Haochen Liu, Jinpeng Zhang, Xiao-Ping Wang
2025	J	`jnl`	Computational multi-layered wood carving art. Comput. Graph. Haochen Liu, Zhi Li, Kang Wu, Youcheng Cai, Xiaoya Zhai, Ketian Zhang, Ligang Liu, Yi Min Xie, Xiao-Ming Fu
2025	J	`jnl`	Continuous Finite Element Method For Maxwell Eigenvalue Problems With Regular Decomposition Technique. CoRR Feiyi Liao, Haochen Liu, Hehu Xie
2025	J	`jnl`	Cooperative Base Station Assignment and Resource Allocation for 6G ISAC Network. CoRR Jiajia Liao, Luping Xiang, Shida Zhong, Lixia Xiao, Haochen Liu, Kun Yang
2025	J	`jnl`	Cross-level interaction fusion network-based RGB-T semantic segmentation for distant targets. Pattern Recognit. Yu Chen, Xiang Li, Chao Luan, Weimin Hou, Haochen Liu, Zihui Zhu, Lian Xue, Jianqi Zhang, Delian Liu, Xin Wu, Linfang Wei, Chaochao Jian, Jinze Li
2025	J	`jnl`	DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning. CoRR Ke Guo, Haochen Liu, Xiaojun Wu, Chen Lv
2025	J	`jnl`	Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Haohan Yang, Yanxin Zhou, Jingda Wu, Haochen Liu, Lie Yang, Chen Lv
2025	J	`jnl`	Hybrid-Prediction Integrated Planning for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv
2025	J	`jnl`	KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. CoRR Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2025	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. ACM Comput. Surv. Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2025	A	`conf`	MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. CIKM Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li
2025	J	`jnl`	Multimodal Multi-Agent Joint Traffic Simulation With Collision and Run-Off-Road Mitigation. IEEE Trans. Intell. Transp. Syst. Xiaoyu Mo, Jintian Ge, Haochen Liu, Weigao Sun, Chen Lv
2025	J	`jnl`	NeRC: Neural Ranging Correction through Differentiable Moving Horizon Location Estimation. CoRR Xu Weng, Keck Voon Ling, Haochen Liu, Bingheng Wang, Kun Cao
2025	J	`jnl`	PASE: A Massively Parallel Augmented Subspace Eigensolver for Large Scale Eigenvalue Problems. CoRR Yangfei Liao, Haochen Liu, Hehu Xie, Zijing Wang
2025	J	`jnl`	Predictive ISAC Beamforming Using LoRA-Transformer LSTM Integrated With GNN in Ultra-Dense D2D mmWave Networks. IEEE Trans. Veh. Technol. Haochen Liu, Jia Bi, Bohan Li, Luping Xiang, Xin Yang, Zhaolin Zhang, Ling Wang
2025	—	`conf`	Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. ACL (Findings) Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025	J	`jnl`	Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. CoRR Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025	J	`jnl`	Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving. CoRR Haochen Liu, Tianyu Li, Haohan Yang, Li Chen, Caojun Wang, Ke Guo, Haochen Tian, Hongchen Li, Hongyang Li, Chen Lv
2025	J	`jnl`	SimScale: Learning to Drive via Real-World Simulation at Scale. CoRR Haochen Tian, Tianyu Li, Haochen Liu, Jiazhi Yang, Yihang Qiu, Guang Li, Junli Wang, Yinfeng Gao, Zhang Zhang, Liang Wang, Hangjun Ye, Tieniu Tan, Long Chen, Hongyang Li
2025	—	`conf`	Spiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data. VISIGRAPP (2): VISAPP Håkan Ardö, Mikael G. Nilsson, Anthony Cioppa, Floriane Magera, Silvio Giancola, Haochen Liu, Bernard Ghanem, Marc Van Droogenbroeck
2025	—	`conf`	Structured Motion Prediction with Efficient Spatial-Temporal Graph Attention for Autonomous Racing. ITSC Jinze Li, Haochen Liu, Bolin Zhao, Haohan Yang, Baichuan Lou, Chen Lv
2025	J	`jnl`	Tensor Neural Network-Based Machine Learning Method for Elliptic Multiscale Problems. Multiscale Model. Simul. Zhongshuo Lin, Haochen Liu, Hehu Xie
2025	J	`jnl`	iPad: Iterative Proposal-centric End-to-End Autonomous Driving. CoRR Ke Guo, Haochen Liu, Xiaojun Wu, Jia Pan, Chen Lv
2024	J	`jnl`	A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites. IEEE Trans. Ind. Electron. Haochen Liu, Lawrence Tinsley, Kailun Deng, Yizhong Wang, Andrew Starr, Zhenmao Chen, Yifan Zhao
2024	J	`jnl`	Augmenting Reinforcement Learning With Transformer-Based Scene Representation Learning for Decision-Making of Autonomous Driving. IEEE Trans. Intell. Veh. Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv
2024	J	`jnl`	Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving. IEEE Trans. Neural Networks Learn. Syst. Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2024	—	`conf`	Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024	J	`jnl`	Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024	J	`jnl`	Hybrid-Prediction Integrated Planning for Autonomous Driving. CoRR Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv
2024	J	`jnl`	Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles. CoRR Wenru Liu, Yongkang Song, Chengzhen Meng, Zhiyu Huang, Haochen Liu, Chen Lv, Jun Ma
2024	B	`conf`	KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. IEEE Big Data Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2024	—	`conf`	Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors. IEEE Trans. Intell. Transp. Syst. Xiaoyu Mo, Haochen Liu, Zhiyu Huang, Xiuxian Li, Chen Lv
2024	—	`conf`	Multi-Modal Motion Prediction with Group-Wise Modal Assignment Transformer for Autonomous Driving. ITSC Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv
2024	J	`jnl`	PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning With Android Raw GNSS Measurements. IEEE Internet Things J. Xu Weng, Keck Voon Ling, Haochen Liu
2024	J	`jnl`	Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach. IEEE Trans. Intell. Transp. Syst. Haohan Yang, Haochen Liu, Zhongxu Hu, Anh-Tu Nguyen, Thierry-Marie Guerra, Chen Lv
2024	A*	`conf`	Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving. NeurIPS Haochen Liu, Li Chen, Yu Qiao, Chen Lv, Hongyang Li
2024	J	`jnl`	Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving. CoRR Haochen Liu, Li Chen, Yu Qiao, Chen Lv, Hongyang Li
2024	J	`jnl`	Safety-Aware Human-in-the-Loop Reinforcement Learning With Shared Control for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Wenhui Huang, Haochen Liu, Zhiyu Huang, Chen Lv
2024	C	`conf`	Scalable Traffic Simulation for Autonomous Driving via Multi-Agent Goal Assignment and Autoregressive Goal-Directed Planning. IV Xiaoyu Mo, Haochen Liu, Zhiyu Huang, Jianwu Fang, Jianru Xue, Chen Lv
2024	—	`conf`	Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan
2024	J	`jnl`	Solving High-Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators. J. Sci. Comput. Yifan Wang, Zhongshuo Lin, Yangfei Liao, Haochen Liu, Hehu Xie
2024	J	`jnl`	Tensor Neural Network Based Machine Learning Method for Elliptic Multiscale Problems. CoRR Zhongshuo Lin, Haochen Liu, Hehu Xie
2024	C	`conf`	Towards End-to-End GPS Localization with Neural Pseudorange Correction. FUSION Xu Weng, Keck Voon Ling, Haochen Liu, Kun Cao
2024	J	`jnl`	Towards End-to-End GPS Localization with Neural Pseudorange Correction. CoRR Xu Weng, Keck Voon Ling, Haochen Liu, Kun Cao
2023	J	`jnl`	A Design of Automatic Magnetic Properties Measurement System for Under/Postgraduate Open Experimental Project: Effective, Low Cost, and Scalable. IEEE Trans. Educ. Xiaohua Sun, Haochen Liu, Peng Liang
2023	J	`jnl`	A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems. Neural Comput. Appl. Haochen Liu, Yifan Zhao, Anna Zaporowska, Zakwan Skaf
2023	J	`jnl`	A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy. Comput. Ind. Miftahur Rahman, Haochen Liu, Mohammed Masri, Isidro Durazo-Cardenas, Andrew Starr
2023	J	`jnl`	An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. CoRR Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan
2023	—	`conf`	An Improved FFS Model for Student Grade Prediction. ICIEAI Hongjiang Liu, Zhigang Li, Tao Zhou, Yajing Niu, Haochen Liu
2023	J	`jnl`	An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator. Comput. Electr. Eng. Haochen Liu, Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Cristobal Ruiz-Carcel, Agusmian Partogi Ompusunggu, Amanda Hall, Robert Anderson
2023	J	`jnl`	Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection. Neural Comput. Appl. Kailun Deng, Haochen Liu, Lichao Yang, Sri Addepalli, Yifan Zhao
2023	J	`jnl`	Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2023	B	`conf`	Dynamic Edge Caching via Online Meta-RL. IJCNN Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu
2023	A*	`conf`	Fairly Adaptive Negative Sampling for Recommendations. WWW Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
2023	J	`jnl`	Fairly Adaptive Negative Sampling for Recommendations. CoRR Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
2023	A*	`conf`	GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. ICCV Zhiyu Huang, Haochen Liu, Chen Lv
2023	J	`jnl`	GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. CoRR Zhiyu Huang, Haochen Liu, Chen Lv
2023	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. CoRR Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2023	—	`conf`	Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving. ITSC Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
2023	J	`jnl`	Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving. CoRR Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
2023	A*	`conf`	MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. WWW Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu
2023	J	`jnl`	Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks. IEEE Robotics Autom. Lett. Xiaoyu Mo, Yang Xing, Haochen Liu, Chen Lv
2023	A*	`conf`	Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving. ICRA Haochen Liu, Zhiyu Huang, Chen Lv
2023	—	`conf`	Occupancy Prediction-Guided Neural Planner for Autonomous Driving. ITSC Haochen Liu, Zhiyu Huang, Chen Lv
2023	J	`jnl`	Occupancy Prediction-Guided Neural Planner for Autonomous Driving. CoRR Haochen Liu, Zhiyu Huang, Chen Lv
2023	J	`jnl`	PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements. CoRR Xu Weng, Keck Voon Ling, Haochen Liu
2023	—	`conf`	Research on Recognition Textual Entailment with Integrated Attention Mechanism and Lexical Information. IALP Dequan Zheng, Haochen Liu, Feng Yu
2023	J	`jnl`	Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators. CoRR Yifan Wang, Zhongshuo Lin, Yangfei Liao, Haochen Liu, Hehu Xie
2023	J	`jnl`	Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
2022	J	`jnl`	A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems. Sensors Masoumeh Rahimi, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 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 Lyu, 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
2022	J	`jnl`	Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving. CoRR Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv
2022	J	`jnl`	Automatic reconstruction of irregular shape defects in pulsed thermography using deep learning neural network. Neural Comput. Appl. Haochen Liu, Wenhan Li, Lichao Yang, Kailun Deng, Yifan Zhao
2022	—	`conf`	Bearing-Only Passive Location System Based on Multi-Machine Cooperation. ICITEE Haochen Liu
2022	J	`jnl`	Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving. CoRR Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2022	J	`jnl`	Deep Learning Assisted Adaptive Index Modulation for mmWave Communications With Channel Estimation. IEEE Trans. Veh. Technol. Haochen Liu, Yaoyuan Zhang, Xiaoyu Zhang, Mohammed El-Hajjar, Lie-Liang Yang
2022	J	`jnl`	Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving. CoRR Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2022	B	`conf`	Enhancing Individual Fairness through Propensity Score Matching. DSAA Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu
2022	B	`conf`	Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference. COLING Jamell Dacon, Haochen Liu, Jiliang Tang
2022	C	`conf`	Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. IV Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv
2022	A	`conf`	PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
2022	A*	`conf`	Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
2022	J	`jnl`	STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer. CoRR Haochen Liu, Zhiyu Huang, Chen Lv
2022	—	`conf`	Toward Annotator Group Bias in Crowdsourcing. ACL (1) Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2022	A	`conf`	Trustworthy Machine Learning: Fairness and Robustness. WSDM Haochen Liu
2021	J	`jnl`	A Miniaturized Active Thermography System to Inspect Composite Laminates. IEEE Trans. Ind. Informatics Weixiang Du, Haochen Liu, Yitian Zhao, Adisorn Sirikham, Sri Addepalli, Yifan Zhao
2021	J	`jnl`	An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm. Appl. Intell. Wentao Luo, Jianfu Zhang, Pingfa Feng, Haochen Liu, Dingwen Yu, Zhijun Wu
2021	A*	`conf`	AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2021	A*	`conf`	AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
2021	A*	`conf`	AutoLoss: Automated Loss Function Search in Recommendations. KDD Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021	J	`jnl`	AutoLoss: Automated Loss Function Search in Recommendations. CoRR Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021	—	`conf`	Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles. WWW (Companion Volume) Jamell Dacon, Haochen Liu
2021	—	`conf`	Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. CoRR Haochen Liu, Zhiyu Huang, Chen Lv
2021	—	`conf`	The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. ACL/IJCNLP (Findings) Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang
2021	J	`jnl`	The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang
2021	J	`jnl`	Toward Annotator Group Bias in Crowdsourcing. CoRR Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2021	—	`conf`	Towards an Autonomous RIRS: Design, Structure Investigation and Framework. ICMRE Miftahur Rahman, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson
2021	J	`jnl`	Trustworthy AI: A Computational Perspective. CoRR Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
2020	J	`jnl`	A Novel Inspection Technique for Electronic Components Using Thermography (NITECT). Sensors Haochen Liu, Lawrence Tinsley, Wayne Lam, Sri Addepalli, Xiaochen Liu, Andrew Starr, Yifan Zhao
2020	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2020	A*	`conf`	Automated Embedding Size Search in Deep Recommender Systems. SIGIR Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
2020	J	`jnl`	Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang
2020	B	`conf`	Does Gender Matter? Towards Fairness in Dialogue Systems. COLING Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Inversion Technique for Quantitative Infrared Thermography Evaluation of Delamination Defects in Multilayered Structures. IEEE Trans. Ind. Informatics Haochen Liu, Cuixiang Pei, Shejuan Xie, Yong Li, Yifan Zhao, Zhenmao Chen
2020	J	`jnl`	Machine Learning Assisted Adaptive Index Modulation for mmWave Communications. IEEE Open J. Commun. Soc. Haochen Liu, Siyao Lu, Mohammed El-Hajjar, Lie-Liang Yang
2020	J	`jnl`	Memory-efficient Embedding for Recommendations. CoRR Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2020	—	`conf`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu
2020	—	`conf`	Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu
2020	B	`conf`	Personalized Multimodal Feedback Generation in Education. COLING Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
2020	J	`jnl`	Personalized Multimodal Feedback Generation in Education. CoRR Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
2020	J	`jnl`	Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang
2019	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2019	J	`jnl`	Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2019	J	`jnl`	Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang
2018	J	`jnl`	Development of a Fast Numerical Simulator for Infrared Thermography Testing Signals of Delamination Defect in a Multilayered Plate. IEEE Trans. Ind. Informatics Haochen Liu, Shejuan Xie, Cuixiang Pei, Jinxing Qiu, Yong Li, Zhenmao Chen
2017	J	`jnl`	A Selective Re-Query Case Sensitive Encoding Scheme Against DNS Cache Poisoning Attacks. Wirel. Pers. Commun. Jin Cao, Maode Ma, Xilei Wang, Haochen Liu
2017	A*	`conf`	Effective Representing of Information Network by Variational Autoencoder. IJCAI Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu