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ORCIDYongqi 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
- 2025
[j18]Xiang Shi
, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang:
Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny. IEEE Access 13: 104858-104871 (2025)- [j17]Yingjie Cui, Hange Zhou, Yongqi Zhang, Feng Xue, Jiabin Zheng, Zhenyu Lu, Yong Chen, Chuanhai Li, Zhonglin Jiang, Hui Ma:
An Iterative Intelligent Attack With Integrated Strategy for Resource-Constrained Internet of Vehicles. IEEE Internet Things J. 12(9): 12453-12467 (2025) - [j16]Zuhua Dai, Yongqi Zhang:
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem. Swarm Evol. Comput. 95: 101927 (2025) - [j15]Shimin Di, Yongqi Zhang, Quanming Yao, Xiaofang Zhou, Lei Chen:
Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases. ACM Trans. Knowl. Discov. Data 19(2): 34:1-34:26 (2025) - [j14]Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu:
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 37(5): 3015-3029 (2025) - [j13]Huaping Zhou, Bin Deng, Kelei Sun, Shunxiang Zhang, Yongqi Zhang:
UTE-CrackNet: transformer-guided and edge feature extraction U-shaped road crack image segmentation. Vis. Comput. 41(4): 2271-2283 (2025) - [c25]Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin:
RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. KDD (1) 2025: 2415-2425 - [i31]Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang:
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research. CoRR abs/2502.12669 (2025) - [i30]Qingfa Xiao, Jiachuan Wang, Haoyang Li, Cheng Deng, Jiaqi Tang, Shuangyin Li, Yongqi Zhang, Jun Wang, Lei Chen:
Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference. CoRR abs/2502.13542 (2025) - [i29]Zeyu Wang, Frank P.-W. Lo, Qian Chen, Yongqi Zhang, Chen Lin, Xu Chen, Zhenhua Yu, Alexander J. Thompson, Eric M. Yeatman, Benny P. L. Lo:
An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework. CoRR abs/2504.14681 (2025) - [i28]Enjun Du, Siyi Liu, Yongqi Zhang:
GraphOracle: A Foundation Model for Knowledge Graph Reasoning. CoRR abs/2505.11125 (2025) - [i27]Tong Li, Jiachuan Wang, Yongqi Zhang, Shuangyin Li, Lei Chen:
Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning. CoRR abs/2505.14471 (2025) - [i26]Guangyi Liu, Yongqi Zhang, Xunyuan Liu, Quanming Yao:
Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction. CoRR abs/2505.23034 (2025) - 2024
- [j12]Xiang Li, Yongqi Zhang, Lei Chen, Jia Li, Xiaowen Chu:
A decomposition-ensemble-integration framework for carbon price forecasting. Expert Syst. Appl. 257: 124954 (2024) - [j11]Yongqi Zhang, Xiao Fu, Zhaoyuan Yu, Shuli Luo:
How does multi-modal travel enhance tourist attraction accessibility? A refined two-step floating catchment area method using multi-source data. Trans. GIS 28(2): 278-302 (2024) - [c24]Haoxuan Feng, Yuhan Zheng, Zhuoheng Ma, Rui Meng, Yongqi Zhang, Chen Zhang:
Integrating Graph Temporal-Structural Dependencies and Textual Semantics for Outdated Fact Detection. ADMA (2) 2024: 335-350 - [c23]Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan:
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. LREC/COLING 2024: 2480-2492 - [c22]Fuda Ye, Shuangyin Li, Yongqi Zhang, Lei Chen:
R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation. EMNLP (Findings) 2024: 11584-11596 - [c21]Yongqi Zhang, Chuan Yan, Haikun Huang, Simon Su, Lap-Fai Yu:
Mixed-Integer Programming for Adaptive VR Workflow Training. HCI (25) 2024: 325-344 - [c20]Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen:
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. ICDE 2024: 1269-1281 - [c19]Xinyi Zhu, Yongqi Zhang, Lei Chen, Kai Chen:
Triple-D: Denoising Distant Supervision for High-Quality Data Creation. ICDE 2024: 1874-1887 - [c18]Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao:
Understanding Expressivity of GNN in Rule Learning. ICLR 2024 - [c17]Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han:
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. ICLR 2024 - [i25]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR abs/2403.08377 (2024) - [i24]Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han:
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. CoRR abs/2403.10231 (2024) - [i23]Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen:
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. CoRR abs/2403.14377 (2024) - [i22]Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan:
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. CoRR abs/2403.19414 (2024) - [i21]Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao:
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. CoRR abs/2406.01145 (2024) - [i20]Fuda Ye, Shuangyin Li, Yongqi Zhang, Lei Chen:
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation. CoRR abs/2406.13249 (2024) - [i19]Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang:
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR abs/2407.00478 (2024) - [i18]Zhenqian Shen, Mingyang Zhou, Yongqi Zhang, Quanming Yao:
Benchmarking Graph Learning for Drug-Drug Interaction Prediction. CoRR abs/2410.18583 (2024) - [i17]Mayue Shi, Yongqi Zhang, Xiaotong Guo, Eric M. Yeatman:
High-Sensitivity Vision-Based Tactile Sensing Enhanced by Microstructures and Lightweight CNN. CoRR abs/2412.20758 (2024) - 2023
- [j10]Lin Liu, Yongqi Zhang, Zepeng Ma, Hengsheng Wang:
An analysis on the spatiotemporal behavior of inbound tourists in Jiaodong Peninsula based on Flickr geotagged photos. Int. J. Appl. Earth Obs. Geoinformation 120: 103349 (2023) - [j9]Yongqi Zhang:
Measuring and applying digital literacy: Implications for access for the elderly in rural China. Educ. Inf. Technol. 28(8): 9509-9528 (2023) - [j8]Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. Nat. Comput. Sci. 3(12): 1023-1033 (2023) - [j7]Yongqi Zhang, Quanming Yao, James T. Kwok:
Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1458-1473 (2023) - [c16]Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok:
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CIKM 2023: 4390-4394 - [c15]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023: 14855-14870 - [c14]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023: 16620-16631 - [c13]Yongqi Zhang, Hui Zhang, Quanming Yao, Jun Wan:
Combining Self-Supervised and Supervised Learning with Noisy Labels. ICIP 2023: 605-609 - [c12]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han:
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. KDD 2023: 3446-3457 - [c11]Delin Feng, Chengqian Li, Yongqi Zhang, Chen Yu, Sören Schwertfeger:
osmAG: Hierarchical Semantic Topometric Area Graph Maps in the OSM Format for Mobile Robotics. ROBIO 2023: 1-7 - [c10]Yongqi Zhang, Cuong Nguyen, Rubaiat Habib Kazi, Lap-Fai Yu:
PoseVEC: Authoring Adaptive Pose-aware Effects using Visual Programming and Demonstrations. UIST 2023: 97:1-97:15 - [c9]Lap-Fai Yu, Changyang Li, Yongqi Zhang, Rawan Alghofaili, Haikun Huang, Liuchuan Yu, Huimin Liu, Minsoo Choi, Brenda Bannan, Christos Mousas:
Establishing Design Computing and Extended Reality Facilities for Remote Virtual Reality Training. VR Workshops 2023: 216-220 - [d1]Yongqi Zhang, Ling Yue, Quanming Yao:
EmerGNN_DDI_data. Zenodo, 2023
- [i16]Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao:
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning. CoRR abs/2303.12306 (2023) - [i15]Delin Feng, Chengqian Li, Yongqi Zhang, Chen Yu, Sören Schwertfeger:
osmAG: Hierarchical Semantic Topometric Area Graph Maps in the OSM Format for Mobile Robotics. CoRR abs/2309.04791 (2023) - [i14]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. CoRR abs/2310.08917 (2023) - [i13]Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok:
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CoRR abs/2310.13538 (2023) - [i12]Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. CoRR abs/2311.09261 (2023) - 2022
- [j6]Tao Yang, Yongqi Zhang, Shengxi Zhou, Hongwei Fan, Xuhui Zhang:
Wideband energy harvesting using nonlinear energy sink with bio-inspired hexagonal skeleton structure. Commun. Nonlinear Sci. Numer. Simul. 111: 106465 (2022) - [c8]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li:
Efficient Hyper-parameter Search for Knowledge Graph Embedding. ACL (1) 2022: 2715-2735 - [c7]Yongqi Zhang, Quanming Yao:
Knowledge Graph Reasoning with Relational Digraph. WWW 2022: 912-924 - [i11]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li:
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning. CoRR abs/2205.02460 (2022) - [i10]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han:
Learning Adaptive Propagation for Knowledge Graph Reasoning. CoRR abs/2205.15319 (2022) - [i9]Hansi Yang, Yongqi Zhang, Quanming Yao:
AutoWeird: Weird Translational Scoring Function Identified by Random Search. CoRR abs/2207.11673 (2022) - 2021
- [j5]Biao Xie, Huimin Liu, Rawan Alghofaili, Yongqi Zhang, Yeling Jiang, Flavio Destri Lobo, Changyang Li, Wanwan Li, Haikun Huang, Mesut Akdere, Christos Mousas, Lap-Fai Yu:
A Review on Virtual Reality Skill Training Applications. Frontiers Virtual Real. 2: 645153 (2021) - [j4]Yongqi Zhang, Haikun Huang, Erion Plaku, Lap-Fai Yu:
Joint computational design of workspaces and workplans. ACM Trans. Graph. 40(6): 228:1-228:16 (2021) - [j3]Yongqi Zhang, Quanming Yao, Lei Chen:
Simple and automated negative sampling for knowledge graph embedding. VLDB J. 30(2): 259-285 (2021) - [c6]Yujia Wang, Wei Liang, Haikun Huang, Yongqi Zhang, Dingzeyu Li, Lap-Fai Yu:
Toward Automatic Audio Description Generation for Accessible Videos. CHI 2021: 277:1-277:12 - [c5]Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen:
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. ICDE 2021: 1104-1115 - [i8]Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen:
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. CoRR abs/2104.10880 (2021) - [i7]Yongqi Zhang, Zhanke Zhou, Quanming Yao:
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding. CoRR abs/2107.00184 (2021) - [i6]Yongqi Zhang, Quanming Yao:
Knowledge Graph Reasoning with Relational Directed Graph. CoRR abs/2108.06040 (2021) - 2020
- [j2]Wanwan Li, Biao Xie, Yongqi Zhang, Walter Meiss, Haikun Huang, Lap-Fai Yu:
Exertion-aware path generation. ACM Trans. Graph. 39(4): 115 (2020) - [c4]Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen:
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. ICDE 2020: 433-444 - [c3]Yongqi Zhang, Quanming Yao, Lei Chen:
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020 - [i5]Yongqi Zhang, Quanming Yao, Lei Chen:
Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding. CoRR abs/2010.14227 (2020)
2010 – 2019
- 2019
- [c2]Yongqi Zhang, Biao Xie, Haikun Huang, Elisa Ogawa, Tongjian You, Lap-Fai Yu:
Pose-Guided Level Design. CHI 2019: 554 - [c1]Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen:
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. ICDE 2019: 614-625 - [i4]Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen:
AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding. CoRR abs/1904.11682 (2019) - [i3]Yongqi Zhang, Quanming Yao, Lei Chen:
Neural Recurrent Structure Search for Knowledge Graph Embedding. CoRR abs/1911.07132 (2019) - 2018
- [j1]Biao Xie, Yongqi Zhang, Haikun Huang, Elisa Ogawa, Tongjian You, Lap-Fai Yu:
Exercise Intensity-Driven Level Design. IEEE Trans. Vis. Comput. Graph. 24(4): 1661-1670 (2018) - [i2]Yongqi Zhang:
XOGAN: One-to-Many Unsupervised Image-to-Image Translation. CoRR abs/1805.07277 (2018) - [i1]Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen:
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. CoRR abs/1812.06410 (2018)
Coauthor Index
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