Haishan Liu

According to our database, Haishan Liu authored at least 31 papers between 2007 and 2026.

Collaborative distances:

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

2026

PhysBrain 1.0 Technical Report.

Shijie Lian, Bin Yu, Xiaopeng Lin, Changti Wu, Hang Yuan, Xiaolin Hu, Zhaolong Shen, Yuzhuo Miao, Haishan Liu, Yuxuan Tian, Yukun Shi, Cong Huang, Kai Chen

CoRR, May, 2026

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation.

Shijie Lian, Bin Yu, Xiaopeng Lin, Zhaolong Shen, Laurence Tianruo Yang, Yurun Jin, Haishan Liu, Changti Wu, Hang Yuan, Cong Huang, Kai Chen

CoRR, May, 2026

FrameSkip: Learning from Fewer but More Informative Frames in VLA Training.

Bin Yu, Shijie Lian, Xiaopeng Lin, Zhaolong Shen, Yuliang Wei, Changti Wu, Hang Yuan, Haishan Liu, Bailing Wang, Cong Huang, Kai Chen

CoRR, May, 2026

3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models.

Bin Yu, Shijie Lian, Xiaopeng Lin, Zhaolong Shen, Yuliang Wei, Haishan Liu, Changti Wu, Hang Yuan, Bailing Wang, Cong Huang, Kai Chen

CoRR, March, 2026

PDCE: A Plug-and-Play Dual-Channel Enhancement framework for Dynamic Graph Neural Networks.

Haishan Liu, Ying Wang, Fuyuan Ma, Jinhui Ouyang, Nan Zhang

Knowl. Based Syst., 2026

2025

Basketball Posture Recognition Using Neural Networks.

Hui Zhang, Jianfeng Wang, Haishan Liu

Concurr. Comput. Pract. Exp., 2025

Field Study of Connected Eco-Driving and Freight Signal Priority Along an Adaptive Coordinated Signalized Corridor.

Haishan Liu, Peng Hao, Zhensong Wei, Matthew J. Barth, Kanok Boriboonsomsin

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Hierarchical Multi-Modal Fusion for Roadside VRU Detection: Method Complementarity Under Sparse Label Constraints.

Chuheng Wei, Ziyan Zhang, Haishan Liu, Guoyuan Wu, Matthew J. Barth

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Eco-Friendly Crowdsourced Meal Delivery: A Dynamic On-Demand Meal Delivery System with a Mixed Fleet of Electric and Gasoline Vehicles.

Haishan Liu, Peng Hao, Yejia Liao, Shams Tanvir, Kanok Boriboonsomsin, Matthew J. Barth

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

Small gastric polyp detection based on the improved YOLOv5.

Linfei Wu, Jin Liu, Haima Yang, Bo Huang, Haishan Liu, Shaowei Cheng

Multim. Tools Appl., August, 2024

2021

Attentive capsule network for click-through rate and conversion rate prediction in online advertising.

Dongfang Li, Baotian Hu, Qingcai Chen, Xiao Wang, Quanchang Qi, Liubin Wang, Haishan Liu

Knowl. Based Syst., 2021

Design of Wireless Sensor Body Measurement Information Acquisition System for College Students' Physical Health Management.

Haishan Liu, Mingjiang Zhu, Yuanjing Li, Chengyun Zhang, Yejun Bie, Hui Zhang

J. Sensors, 2021

Adaptive Dynamic Surface Control for a Class of Dead-Zone Nonlinear Systems via Output Feedback.

Ye Liu, Yaqian Zhang, Lulu Liu, Hongqin Li, Haishan Liu

IEEE Access, 2021

2020

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding.

Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen

CoRR, 2020

2018

Parallel Large-Scale Neural Network Training For Online Advertising.

Quanchang Qi, Guangming Lu, Jun Zhang, Lichun Yang, Haishan Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Audience Expansion for Online Social Network Advertising.

Haishan Liu, David Pardoe, Kun Liu, Manoj Thakur, Frank Cao, Chongzhe Li

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Downside management in recommender systems.

Huan Gui, Haishan Liu, Xiangrui Meng, Anmol Bhasin, Jiawei Han

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Semantic data mining: A survey of ontology-based approaches.

Dejing Dou, Hao Wang, Haishan Liu

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

2014

Improving the discriminative power of inferred content information using segmented virtual profile.

Haishan Liu, Anuj Goyal, Trevor Walker, Anmol Bhasin

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013

Generating supplemental content information using virtual profiles.

Haishan Liu, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Mining Biomedical Ontologies and Data Using RDF Hypergraphs.

Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Metaheuristics.

Haishan Liu, Dejing Dou, Hao Wang

J. Data Semant., 2012

Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets.

Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou

Neurocomputing, 2012

2011

Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Simulated Annealing.

Haishan Liu, Dejing Dou

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011, 2011

A Hypergraph-based Method for Discovering Semantically Associated Itemsets.

Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Semantic Translation for Rule-Based Knowledge in Data Mining.

Dejing Dou, Han Qin, Haishan Liu

Proceedings of the Database and Expert Systems Applications, 2011

2010

Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data.

Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

OMIT: Domain Ontology and Knowledge Acquisition in MicroRNA Target Prediction - (Short Paper).

Christopher Townsend, Jingshan Huang, Dejing Dou, Shivraj Dalvi, Patrick J. Hayes, Lei He, Wen-Chang Lin, Haishan Liu, Robert Rudnick, Hardik Shah

Proceedings of the On the Move to Meaningful Internet Systems, 2010

NeuMORE: Ontology in stroke recovery.

Christopher Townsend, Jingshan Huang, Dejing Dou, Haishan Liu, Lei He, Patrick J. Hayes, Robert Rudnick, Hardik Shah, Dennis Fell, Wei Liu

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Ontology-based knowledge acquisition for neuromotor functional recovery in stroke.

Christopher Townsend, Jingshan Huang, Dejing Dou, Haishan Liu, Lei He, Patrick J. Hayes, Robert Rudnick, Hardik Shah, Dennis Fell, Wei Liu

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2007

Constructing a User Preference Ontology for Anti-spam Mail Systems.

Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak

Proceedings of the Advances in Artificial Intelligence, 2007