Haodi Zhang

According to our database, Haodi Zhang authored at least 33 papers between 2015 and 2023.

Collaborative distances:

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

2023

A secure recharge scheme for blockchain payment channels.

Jie Chen, Haodi Zhang, Shuai Wang, Huamin Jin

J. Inf. Secur. Appl., November, 2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.

Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung

IEEE Trans. Comput. Soc. Syst., October, 2023

Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles.

Wanting Gou, Haodi Zhang, Ronghui Zhang

Sensors, October, 2023

Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey.

Anzhu Yu, Yujun Quan, Ru Yu, Wenyue Guo, Xin Wang, Danyang Hong, Haodi Zhang, Junming Chen, Qingfeng Hu, Peipei He

Remote. Sens., October, 2023

Burstiness-Aware Web Search Analysis on Different Levels of Evidences.

Chen Jason Zhang, Haodi Zhang, Qifan Li, Kaishun Wu, Di Jiang, Yuanfeng Song, Peiguang Lin, Lei Chen

IEEE Trans. Knowl. Data Eng., March, 2023

Deep learning multi-modal fusion based 3D object detection. (Détection d'objets 3D par fusion multimodale basée sur l'apprentissage profond).

Haodi Zhang

PhD thesis, 2023

Where to: Crowd-Aided Path Selection by Selective Bayesian Network.

Chen Jason Zhang, Haodi Zhang, Weiteng Xie, Nan Liu, Kaishun Wu, Lei Chen

IEEE Trans. Knowl. Data Eng., 2023

Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection.

Haodi Zhang, Min Cai, Xinhe Zhang, Chen Jason Zhang, Rui Mao, Kaishun Wu

CoRR, 2023

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.

Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-Making.

Haodi Zhang, Jiahong Li, Yichi Wang, Yuanfeng Song

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Query-Aware Quantization for Maximum Inner Product Search.

Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates.

Chen Jason Zhang, Haodi Zhang, Weiteng Xie, Nan Liu, Qifan Li, Di Jiang, Peiguang Lin, Kaishun Wu, Lei Chen

IEEE Trans. Knowl. Data Eng., 2022

An enhanced <i>N</i>-point interpolation method to eliminate average precision distortion.

Haodi Zhang, Alexandrina Rogozan, Abdelaziz Bensrhair

Pattern Recognit. Lett., 2022

MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis.

Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu

Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget.

Haodi Zhang, Wenxi Huang, Chenyu Xu, Zhengbang Yang, Hongxin Zhou, Fengtian Qi, Chen Zhang, Kaishun Wu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Knowledge-Enhanced Learning for KG Embedding.

Haodi Zhang, Zhao Chen, Jinyin Nie, Di Jiang, Lixin Fan, Kaishun Wu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction.

Haodi Zhang, Chenyu Xu, Jiahong Li, Peirou Liang, Xiangyu Zeng, Hao Ren, Weibin Cheng, Kaishun Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge.

Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation.

Haodi Zhang, Danut Ovidiu Pop, Alexandrina Rogozan, Abdelaziz Bensrhair

IEEE Access, 2021

Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data.

Hao Ren, Aslan B. Wong, Wanmin Lian, Weibin Cheng, Ying Zhang, Jianwei He, Qingfeng Liu, Jiasheng Yang, Chen Jason Zhang, Kaishun Wu, Haodi Zhang

IEEE Access, 2021

Knowledge-Assisted DRL for Energy Harvesting Based Multi-Access Wireless Communications.

Sheng Luo, Haodi Zhang, Qifan Li, Kaishun Wu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Cross-modal verification for 3D object detection.

Haodi Zhang, Alexandrina Rogozan, Abdelaziz Bensrhair

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Exploiting Multi-source Data for Adversarial Driving Style Representation Learning.

Zhidan Liu, Junhong Zheng, Zengyang Gong, Haodi Zhang, Kaishun Wu

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Deep Reinforcement Learning-Based Access Control for Buffer-Aided Relaying Systems With Energy Harvesting.

Haodi Zhang, Di Zhan, Chen Jason Zhang, Kaishun Wu, Ye Liu, Sheng Luo

IEEE Access, 2020

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning.

Haodi Zhang, Jianye Hao, Xiaohong Li

IEEE Access, 2020

Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely.

Zihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang, Kaishun Wu, Haodi Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning.

Haodi Zhang, Zihang Gao, Yi Zhou, Hao Zhang, Kaishun Wu, Fangzhen Lin

CoRR, 2019

How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset.

Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Dual-enhanced Word Representations Based on Knowledge Base.

Fangyuan He, Yi Zhou, Haodi Zhang, Zhiyong Feng

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

2017

Characterizing causal action theories and their implementations in answer set programming.

Haodi Zhang, Fangzhen Lin

Artif. Intell., 2017

Demo abstract: An intent solver for enabling intent-based SDN.

Haodi Zhang, Yu Wang, Xiangtong Qi, Weiping Xu, Tao Peng, Shucheng Liu

Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016

Mapping Action Language BC to Logic Programs: A Characterization by Postulates.

Haodi Zhang, Fangzhen Lin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond.

Haodi Zhang, Fangzhen Lin

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015