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ORCIDHaodi Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c21]Haodi Zhang, Junyu Yang, Wenxi Huang, Min Cai, Jiahong Li, Chen Zhang, Kaishun Wu:
Recognizing Textual Entailment by Hierarchical Crowdsourcing with Diverse Labor Costs. CSCWD 2024: 453-458- [c20]Chengzhe Lai, Xinwei Zhang, Haodi Zhang, Guanjie Li, Yong Yu, Dong Zheng:
GAN Augmentation-Based Continuous Authentication for Vehicular Digital Twin. ICC 2024: 5220-5225 - [c19]Yuanfeng Song, Jinwei Lu, Xuefang Zhao, Raymond Chi-Wing Wong, Haodi Zhang:
Demonstration of FeVisQA: Free-Form Question Answering over Data Visualization. ICDE 2024: 5417-5420 - [c18]Haodi Zhang, Jinya Su, Shihua Li:
Bézier-UKF Enhanced Incremental MPC Planner for Quadrotor Based Target Following. ICIT 2024: 1-6 - [i4]Jinwei Lu, Yuanfeng Song, Haodi Zhang, Chen Zhang
, Raymond Chi-Wing Wong:
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability. CoRR abs/2404.07135 (2024) - 2023
- [b1]Haodi Zhang:
Deep learning multi-modal fusion based 3D object detection. (Détection d'objets 3D par fusion multimodale basée sur l'apprentissage profond). Normandy University, Caen, France, 2023 - [j13]Jie Chen, Haodi Zhang, Shuai Wang, Huamin Jin:
A secure recharge scheme for blockchain payment channels. J. Inf. Secur. Appl. 78: 103603 (2023) - [j12]Anzhu Yu, Yujun Quan, Ru Yu, Wenyue Guo, Xin Wang, Danyang Hong, Haodi Zhang, Junming Chen, Qingfeng Hu, Peipei He:
Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey. Remote. Sens. 15(20): 4987 (2023) - [j11]Wanting Gou, Haodi Zhang, Ronghui Zhang:
Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles. Sensors 23(21): 8788 (2023) - [j10]Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2827-2836 (2023) - [j9]Chen Jason Zhang, Haodi Zhang, Weiteng Xie, Nan Liu, Kaishun Wu, Lei Chen:
Where to: Crowd-Aided Path Selection by Selective Bayesian Network. IEEE Trans. Knowl. Data Eng. 35(1): 1072-1087 (2023) - [j8]Chen Jason Zhang, Haodi Zhang, Qifan Li, Kaishun Wu, Di Jiang, Yuanfeng Song, Peiguang Lin, Lei Chen:
Burstiness-Aware Web Search Analysis on Different Levels of Evidences. IEEE Trans. Knowl. Data Eng. 35(3): 2341-2352 (2023) - [c17]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c16]Haodi Zhang, Jiahong Li, Yichi Wang, Yuanfeng Song:
Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-Making. BIBM 2023: 1710-1717 - [c15]Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu:
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. ICDE 2023: 1234-1246 - [i3]Haodi Zhang, Min Cai, Xinhe Zhang, Chen Jason Zhang, Rui Mao, Kaishun Wu:
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection. CoRR abs/2310.05035 (2023) - 2022
- [j7]Haodi Zhang, Alexandrina Rogozan, Abdelaziz Bensrhair:
An enhanced N-point interpolation method to eliminate average precision distortion. Pattern Recognit. Lett. 158: 111-116 (2022) - [j6]Chen Jason Zhang, Haodi Zhang, Weiteng Xie, Nan Liu, Qifan Li, Di Jiang, Peiguang Lin, Kaishun Wu, Lei Chen:
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates. IEEE Trans. Knowl. Data Eng. 34(8): 3629-3642 (2022) - [c14]Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang:
Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge. AAAI 2022: 11667-11675 - [c13]Haodi Zhang, Chenyu Xu, Jiahong Li, Peirou Liang, Xiangyu Zeng, Hao Ren, Weibin Cheng, Kaishun Wu:
Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction. BIBM 2022: 1816-1819 - [c12]Haodi Zhang, Wenxi Huang, Chenyu Xu, Zhengbang Yang, Hongxin Zhou, Fengtian Qi, Chen Zhang, Kaishun Wu:
Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget. ICPADS 2022: 794-801 - [c11]Haodi Zhang, Zhao Chen, Jinyin Nie, Di Jiang, Lixin Fan, Kaishun Wu:
Knowledge-Enhanced Learning for KG Embedding. ICPADS 2022: 843-850 - [c10]Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu:
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis. ISBRA 2022: 192-203 - [i2]Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu:
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis. CoRR abs/2202.04266 (2022) - 2021
- [j5]Haodi Zhang, Danut Ovidiu Pop, Alexandrina Rogozan, Abdelaziz Bensrhair:
Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation. IEEE Access 9: 8625-8636 (2021) - [j4]Hao Ren, Aslan B. Wong, Wanmin Lian, Weibin Cheng, Ying Zhang, Jianwei He, Qingfeng Liu, Jiasheng Yang, Chen Jason Zhang, Kaishun Wu, Haodi Zhang:
Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data. IEEE Access 9: 95872-95883 (2021) - [c9]Zhidan Liu, Junhong Zheng, Zengyang Gong, Haodi Zhang, Kaishun Wu:
Exploiting Multi-source Data for Adversarial Driving Style Representation Learning. DASFAA (1) 2021: 491-508 - [c8]Haodi Zhang, Alexandrina Rogozan, Abdelaziz Bensrhair:
Cross-modal verification for 3D object detection. ESANN 2021 - [c7]Sheng Luo, Haodi Zhang, Qifan Li, Kaishun Wu:
Knowledge-Assisted DRL for Energy Harvesting Based Multi-Access Wireless Communications. HPCC/DSS/SmartCity/DependSys 2021: 869-876 - 2020
- [j3]Haodi Zhang, Jianye Hao, Xiaohong Li:
A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning. IEEE Access 8: 78482-78491 (2020) - [j2]Haodi Zhang, Di Zhan, Chen Jason Zhang, Kaishun Wu, Ye Liu, Sheng Luo:
Deep Reinforcement Learning-Based Access Control for Buffer-Aided Relaying Systems With Energy Harvesting. IEEE Access 8: 145006-145017 (2020) - [c6]Zihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang, Kaishun Wu, Haodi Zhang:
Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely. AAAI 2020: 13608-13609
2010 – 2019
- 2019
- [c5]Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou:
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset. IJCAI 2019: 6110-6116 - [i1]Haodi Zhang, Zihang Gao, Yi Zhou, Hao Zhang, Kaishun Wu, Fangzhen Lin:
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning. CoRR abs/1910.09986 (2019) - 2018
- [c4]Fangyuan He, Yi Zhou, Haodi Zhang, Zhiyong Feng:
Dual-enhanced Word Representations Based on Knowledge Base. ISWC (P&D/Industry/BlueSky) 2018 - 2017
- [j1]Haodi Zhang, Fangzhen Lin:
Characterizing causal action theories and their implementations in answer set programming. Artif. Intell. 248: 1-8 (2017) - [c3]Haodi Zhang, Yu Wang, Xiangtong Qi, Weiping Xu, Tao Peng, Shucheng Liu:
Demo abstract: An intent solver for enabling intent-based SDN. INFOCOM Workshops 2017: 968-969 - 2016
- [c2]Haodi Zhang, Fangzhen Lin:
Mapping Action Language BC to Logic Programs: A Characterization by Postulates. AAAI 2016: 1116-1123 - 2015
- [c1]Haodi Zhang, Fangzhen Lin:
Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond. IJCAI 2015: 3285-3291
Coauthor Index
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