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ORCIDXiang Zhao 0002
赵翔
Person information
- unicode name: 赵翔
- affiliation: National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
- affiliation (PhD 2013): University of New South Wales, Australia
Other persons with the same name
- Xiang Zhao — disambiguation page
- Xiang Zhao 0001
![[0000-0003-3982-4763]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3982-4763")
— Xi'an Jiaotong University, Institute for Chemical Physics / Department of Chemistry, China (and 1 more) - Xiang Zhao 0003 — Guilin University of Electronic Technology, Key Laboratory of Cognitive Radio and Information Processing, China (and 1 more)
- Xiang Zhao 0004 — Beijing Normal University, Faculty of Geographical Science, Beijing, China (and 1 more)
- Xiang Zhao 0005 — National University of Singapore, Temasek Laboratories, Singapore
- Xiang Zhao 0006 — Örebro University, School of Law, Psychology and Social Work, Örebro, Sweden (and 2 more)
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2020 – today
- 2025
[j79]Huang Peng, Weixin Zeng, Jiuyang Tang, Mao Wang, Hongbin Huang, Xiang Zhao:
Open knowledge graph completion with negative-aware representation learning and multi-source reliability inference. Inf. Fusion 115: 102729 (2025)- [j78]Ziheng Zhang, Weixin Zeng, Jiuyang Tang, Hongbin Huang, Xiang Zhao:
Active in-context learning for cross-domain entity resolution. Inf. Fusion 117: 102816 (2025) - [j77]Chao Jiang, Jinzhi Liao, Xiang Zhao, Daojian Zeng, Jianhua Dai:
An adaptive confidence-based data revision framework for Document-level Relation Extraction. Inf. Process. Manag. 62(1): 103909 (2025) - [j76]Runhao Zhao, Jiuyang Tang, Weixin Zeng, Yunxiao Guo, Xiang Zhao:
Towards human-like questioning: Knowledge base question generation with bias-corrected reinforcement learning from human feedback. Inf. Process. Manag. 62(3): 104044 (2025) - [j75]Yaqing Sheng, Weixin Zeng, Jiuyang Tang, Lihua Liu, Xiang Zhao:
Confusing negative commonsense knowledge generation with hierarchy modeling and LLM-enhanced filtering. Inf. Process. Manag. 62(3): 104060 (2025) - [j74]Xiongtao Zhang, Ji Wang, Weidong Bao, Yaohong Zhang, Xiaomin Zhu, Hao Peng, Xiang Zhao:
Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 88-101 (2025) - [c91]Guanchen Xiao, Weixin Zeng, Shiqi Zhang, Mingrui Lao, Xiang Zhao:
Multi-Modal Entities Matter: Benchmarking Multi-Modal Entity Alignment. COLING 2025: 8714-8724 - [c90]Si Miao Zhao, Zhen Tan, Ning Pang, Weidong Xiao, Xiang Zhao:
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection. COLING 2025: 8763-8773 - [c89]Feiyang Wu, Peixin Huang, Yanli Hu, Zhen Tan, Xiang Zhao:
Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction. COLING 2025: 9250-9259 - 2024
- [j73]Pengfei Zhang, Dong Chen, Yang Fang, Weidong Xiao, Xiang Zhao, Zhen Tan, Rui Wang:
A knowledge graphs representation method based on IsA relation modeling. Expert Syst. Appl. 254: 124468 (2024) - [j72]Yuehang Cao, Xiang Zhao, Dong Chen, Hongbin Huang:
Multiplex heterogeneous network representation learning with unipath based global awareness neural network. Future Gener. Comput. Syst. 150: 317-325 (2024) - [j71]Haitao Fan, Mengzhe Hei, Zuyu Chen, Yijia Xing, Yujiao Hu, Deke Guo, Xin Zhang, Xiang Zhao, Yan Pan:
E-Bus-Based Standby Energy Sharing for EVs in the Event of Large-Scale Grid Outage. IEEE Internet Things J. 11(23): 37885-37898 (2024) - [j70]Siqi Ma, Weixin Zeng, Weidong Xiao, Xiang Zhao:
Dismantling complex networks with graph contrastive learning and multi-hop aggregation. Inf. Sci. 676: 120780 (2024) - [j69]Zongqiang Yang, Junbo Fei, Zhen Tan, Jiuyang Tang, Xiang Zhao:
CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction. Knowl. Based Syst. 293: 111652 (2024) - [j68]Long Yuan, Xia Li, Zi Chen, Xuemin Lin, Xiang Zhao, Wenjie Zhang:
I/O Efficient Label-Constrained Reachability Queries in Large Graphs. Proc. VLDB Endow. 17(10): 2590-2602 (2024) - [j67]Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao:
SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction. Trans. Assoc. Comput. Linguistics 12: 1720-1735 (2024) - [j66]Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao:
SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction. Trans. Assoc. Comput. Linguistics 12: 1720-1735 (2024) - [j65]Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Hyperedge Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(12): 8502-8514 (2024) - [j64]Jiaxin Wang, Lingling Zhang, Jun Liu, Kunming Ma, Wenjun Wu, Xiang Zhao, Yaqiang Wu, Yi Huang:
TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9147-9161 (2024) - [j63]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11692-11705 (2024) - [j62]Yang Fang, Xiang Zhao, Weidong Xiao, Maarten de Rijke:
Few-shot Learning for Heterogeneous Information Networks. ACM Trans. Inf. Syst. 42(4): 107:1-107:24 (2024) - [j61]Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan, Xin Li:
Open knowledge base canonicalization with multi-task learning. World Wide Web (WWW) 27(5): 51 (2024) - [c88]Zhiyuan Wang, Long Shi, Zhen Mei, Xiang Zhao, Zhe Wang, Jun Li:
Iterative Transfer Knowledge Distillation and Channel Pruning for Unsupervised Cross-Domain Compression. WISA 2024: 3-15 - [c87]Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang:
Temporal Knowledge Question Answering via Abstract Reasoning Induction. ACL (1) 2024: 4872-4889 - [c86]Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao:
Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. ACL (1) 2024: 5809-5821 - [c85]Zenghua Liao, Jinzhi Liao, Xiang Zhao:
ITIU: Intention Understanding via Interactive Table in Large Language Models. CIKM 2024: 1378-1388 - [c84]Weixin Zeng, Jie Zhou, Xiang Zhao:
Benchmarking Challenges for Temporal Knowledge Graph Alignment. CIKM 2024: 3103-3112 - [c83]Runhao Zhao, Jiuyang Tang, Weixin Zeng, Ziyang Chen, Xiang Zhao:
Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis. CIKM 2024: 3341-3351 - [c82]Wenshuo Zhai, Xiang Zhao, Jinzhi Liao, Ziyang Chen:
Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL. CIKM 2024: 4243-4247 - [c81]Shiqi Zhang, Weixin Zeng, Zhen Tan, Xiang Zhao, Weidong Xiao:
M3: A Multi-Image Multi-Modal Entity Alignment Dataset. CIKM 2024: 5415-5419 - [c80]Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao:
Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model. LREC/COLING 2024: 5029-5040 - [c79]Herun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo:
FNDPro: Evaluating the Importance of Propagations during Fake News Spread. DASFAA (6) 2024: 52-67 - [c78]Wenzhe Hou, Xiang Zhao, Bo Tang:
LearnSC: An Efficient and Unified Learning-Based Framework for Subgraph Counting Problem. ICDE 2024: 2625-2638 - [c77]Dong Chen, Xiang Zhao, Weidong Xiao:
Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment. ICDE 2024: 3178-3190 - [c76]Junhui Gao, Qianru Wang, Xin Zhang, Juan Shi, Xiang Zhao, Qingye Han, Yan Pan:
Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis. ICDE 2024: 4153-4166 - [c75]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE 2024: 5741-5742 - [c74]Zihan Ma, Huan Liu, Zhi Zeng, Hao Guo, Xiang Zhao, Minnan Luo:
Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection. ICME 2024: 1-6 - [c73]Zhi Zeng, Minnan Luo, Xiangzheng Kong, Huan Liu, Hao Guo, Hao Yang, Zihan Ma, Xiang Zhao:
Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection. ACM Multimedia 2024: 6492-6500 - [i20]Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan:
Open Knowledge Base Canonicalization with Multi-task Learning. CoRR abs/2403.14733 (2024) - [i19]Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao:
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. CoRR abs/2408.09613 (2024) - [i18]Guofu Liao, Taotao Wang, Qing Yang, Yihan Xia, Long Shi, Xiang Zhao, Xiaoxiao Wu, Shengli Zhang, Anthony Chan, Richard Yuen:
Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin Ecosystem. CoRR abs/2409.19622 (2024) - [i17]Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao:
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. CoRR abs/2410.12600 (2024) - [i16]Ziyang Chen, Xiaobin Wang, Yong Jiang, Jinzhi Liao, Pengjun Xie, Fei Huang, Xiang Zhao:
An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms. CoRR abs/2410.17694 (2024) - [i15]Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. CoRR abs/2412.14686 (2024) - [i14]Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao:
Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. CoRR abs/2412.14688 (2024) - 2023
- [b2]Xiang Zhao, Weixin Zeng, Jiuyang Tang:
Entity Alignment - Concepts, Recent Advances and Novel Approaches. Springer 2023, ISBN 978-981-99-4249-7, pp. 3-247 - [j60]Ruiqi Li, Xiang Zhao, Marie-Francine Moens:
A Brief Overview of Universal Sentence Representation Methods: A Linguistic View. ACM Comput. Surv. 55(3): 56:1-56:42 (2023) - [j59]Zenghua Liao, Zongqiang Yang, Peixin Huang, Ning Pang, Xiang Zhao:
Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event. Data Sci. Eng. 8(1): 73-83 (2023) - [j58]Li Liu, Weixin Zeng, Zhen Tan, Weidong Xiao, Xiang Zhao:
Node Importance Estimation with Multiview Contrastive Representation Learning. Int. J. Intell. Syst. 2023: 1-13 (2023) - [j57]Pengtao Fu, Lailong Luo, Deke Guo, Xiang Zhao, Shangsen Li, Huaimin Wang:
Jump Filter: A Dynamic Sketch for Big Data Governance. Int. J. Softw. Informatics 13(1): 57-85 (2023) - [j56]Hong Gao, Huajun Chen, Xiang Zhao, Ruixuan Li:
Preface to the Special Issue on Knowledge-empowered Information Systems. Int. J. Softw. Informatics 13(4): 375-378 (2023) - [j55]Jie Zhou, Weixin Zeng, Hao Xu, Xiang Zhao:
Active Temporal Knowledge Graph Alignment. Int. J. Semantic Web Inf. Syst. 19(1): 1-17 (2023) - [j54]Jianian Zhu, Weixin Zeng, Junfeng Zhang, Jiuyang Tang, Xiang Zhao:
Cross-view graph contrastive learning with hypergraph. Inf. Fusion 99: 101867 (2023) - [j53]Chengyu Song, Fei Cai, Jianming Zheng, Xiang Zhao, Taihua Shao:
AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification. Inf. Process. Manag. 60(4): 103153 (2023) - [j52]Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao:
A survey of continuous subgraph matching for dynamic graphs. Knowl. Inf. Syst. 65(3): 945-989 (2023) - [j51]Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao:
T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates. Trans. Assoc. Comput. Linguistics 11: 1265-1282 (2023) - [j50]Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke:
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8372-8385 (2023) - [j49]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE Trans. Knowl. Data Eng. 35(12): 12770-12784 (2023) - [j48]Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao:
(p,q)-biclique counting and enumeration for large sparse bipartite graphs. VLDB J. 32(5): 1137-1161 (2023) - [j47]Zenghua Liao, Junbo Fei, Weixin Zeng, Xiang Zhao:
Few-shot named entity recognition with hybrid multi-prototype learning. World Wide Web (WWW) 26(5): 2521-2544 (2023) - [c72]Ziyang Chen, Jinzhi Liao, Xiang Zhao:
Multi-granularity Temporal Question Answering over Knowledge Graphs. ACL (1) 2023: 11378-11392 - [c71]Wenzhe Hou, Xiang Zhao, Wei Wang:
Cardinality Estimation of Subgraph Search Queries with Direction Learner. ADMA (5) 2023: 77-93 - [c70]Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao:
MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. CIKM 2023: 639-648 - [c69]Hao Guo, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Interpretable Fake News Detection with Graph Evidence. CIKM 2023: 659-668 - [c68]Chu Huang, Qianzhen Zhang, Deke Guo, Xiang Zhao:
Discovering Persistent Subgraph Patterns over Streaming Graphs. DASFAA (3) 2023: 154-171 - [c67]Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao:
Mining Top-k Frequent Patterns over Streaming Graphs. DASFAA (3) 2023: 199-216 - [c66]Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo:
Discovering Frequency Bursting Patterns in Temporal Graphs. ICDE 2023: 599-611 - [c65]Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao:
Personalized Federated Relation Classification over Heterogeneous Texts. SIGIR 2023: 973-982 - [c64]Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao:
Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. WWW 2023: 154-164 - [e4]Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao:
Web Information Systems and Applications - 20th International Conference, WISA 2023, Chengdu, China, September 15-17, 2023, Proceedings. Lecture Notes in Computer Science 14094, Springer 2023, ISBN 978-981-99-6221-1 [contents] - [i13]Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu:
The Expressive Power of Graph Neural Networks: A Survey. CoRR abs/2308.08235 (2023) - [i12]Bingchen Liu, Shihao Hou, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan:
Open Knowledge Base Canonicalization with Multi-task Unlearning. CoRR abs/2310.16419 (2023) - [i11]Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang:
Temporal Knowledge Question Answering via Abstract Reasoning Induction. CoRR abs/2311.09149 (2023) - [i10]Long Yuan, Zeyu Zhou, Xuemin Lin, Zi Chen, Xiang Zhao, Fan Zhang:
GPUSCAN++: Eficient Structural Graph Clustering on GPUs. CoRR abs/2311.12281 (2023) - 2022
- [j46]Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling. Data Sci. Eng. 7(1): 16-29 (2022) - [j45]Jian Li, Yanming Guo, Songyang Lao, Xiang Zhao, Liang Bai, Haoran Wang:
Few2Decide: towards a robust model via using few neuron connections to decide. Int. J. Multim. Inf. Retr. 11(2): 189-198 (2022) - [j44]Ziyang Chen, Xiang Zhao, Jinzhi Liao, Xinyi Li, Evangelos Kanoulas:
Temporal knowledge graph question answering via subgraph reasoning. Knowl. Based Syst. 251: 109134 (2022) - [j43]Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao:
Continuous multi-query optimization for subgraph matching over dynamic graphs. Semantic Web 13(4): 601-622 (2022) - [j42]Aibo Guo, Xinyi Li, Ning Pang, Xiang Zhao:
Adversarial Cross-domain Community Question Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 61:1-61:22 (2022) - [j41]Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian M. Suchanek:
An Experimental Study of State-of-the-Art Entity Alignment Approaches. IEEE Trans. Knowl. Data Eng. 34(6): 2610-2625 (2022) - [j40]Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke:
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. ACM Trans. Inf. Syst. 40(4): 64:1-64:27 (2022) - [j39]Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, Wei Wang:
On entity alignment at scale. VLDB J. 31(5): 1009-1033 (2022) - [j38]Jinzhi Liao, Xiang Zhao, Xinyi Li, Jiuyang Tang, Bin Ge:
Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension. World Wide Web 25(3): 1469-1487 (2022) - [c63]Honghai Zhang, Yifan Chen, Xinyi Li, Xiang Zhao:
Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering. WISA 2022: 52-63 - [c62]Peixin Huang, Xiang Zhao, Minghao Hu, Yang Fang, Xinyi Li, Weidong Xiao:
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training. ACL (Findings) 2022: 85-96 - [c61]Junbo Fei, Weixin Zeng, Xiang Zhao, Xuanyi Li, Weidong Xiao:
Few-Shot Relational Triple Extraction with Perspective Transfer Network. CIKM 2022: 488-498 - [c60]Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang:
Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. CIKM 2022: 635-645 - [c59]Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo:
Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together. CIKM 2022: 2580-2589 - [c58]Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao:
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. CIKM 2022: 3973-3977 - [c57]Qianzhen Zhang, Deke Guo, Xiang Zhao:
Discovering Bursting Patterns over Streaming Graphs. DASFAA (1) 2022: 441-458 - [c56]Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang:
PTAU: Prompt Tuning for Attributing Unanswerable Questions. SIGIR 2022: 1219-1229 - [c55]Shaonan Long, Jinzhi Liao, Shiyu Yang, Xiang Zhao, Xuemin Lin:
Complex Question Answering Over Temporal Knowledge Graphs. WISE 2022: 65-80 - [e3]Xiang Zhao, Shiyu Yang, Xin Wang, Jianxin Li:
Web Information Systems and Applications - 19th International Conference, WISA 2022, Dalian, China, September 16-18, 2022, Proceedings. Lecture Notes in Computer Science 13579, Springer 2022, ISBN 978-3-031-20308-4 [contents] - 2021
- [j37]Ning Pang, Xiang Zhao, Wei Wang, Weidong Xiao, Deke Guo:
Few-shot text classification by leveraging bi-directional attention and cross-class knowledge. Sci. China Inf. Sci. 64(3) (2021) - [j36]Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu:
Multi-modal entity alignment in hyperbolic space. Neurocomputing 461: 598-607 (2021) - [j35]Tianyang Shao, Xinyi Li, Xiang Zhao, Hao Xu, Weidong Xiao:
DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph. Neurocomputing 461: 608-617 (2021) - [j34]Aibo Guo, Xiang Zhao, Wubin Ma:
ER-SQL: Learning enhanced representation for Text-to-SQL using table contents. Neurocomputing 465: 359-370 (2021) - [j33]Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao:
Knowledge graph embedding by relational and entity rotation. Knowl. Based Syst. 229: 107310 (2021) - [j32]Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao:
Caps-OWKG: a capsule network model for open-world knowledge graph. Int. J. Mach. Learn. Cybern. 12(6): 1627-1637 (2021) - [j31]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning-based Collective Entity Alignment with Adaptive Features. ACM Trans. Inf. Syst. 39(3): 26:1-26:31 (2021) - [j30]Qianzhen Zhang, Deke Guo, Xiang Zhao, Xi Wang:
Continuous matching of evolving patterns over dynamic graph data. World Wide Web 24(3): 721-745 (2021) - [j29]Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Zhen Tan:
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs. World Wide Web 24(5): 1837-1856 (2021) - [c54]Kunjia Liu, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Jinzhi Liao, Feng Tian, Qinghua Zheng, Jingquan Huang, Ao Dai:
MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning. CCKS 2021: 281-287 - [c53]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Reinforced Active Entity Alignment. CIKM 2021: 2477-2486 - [c52]Junxing Wang, Xinyi Li, Zhen Tan, Xiang Zhao, Weidong Xiao:
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering. CoNLL 2021: 445-453 - [c51]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. DASFAA (1) 2021: 272-289 - [c50]Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang:
Learning Discriminative Neural Representations for Event Detection. SIGIR 2021: 644-653 - [i9]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning based Collective Entity Alignment with Adaptive Features. CoRR abs/2101.01353 (2021) - [i8]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. CoRR abs/2101.10535 (2021) - [i7]Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu:
Multi-modal Entity Alignment in Hyperbolic Space. CoRR abs/2106.03619 (2021) - 2020
- [j28]Lijun Huo, Xiang Zhao:
A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension. IEEE Access 8: 174255-174264 (2020) - [j27]Ning Pang, Zhen Tan, Xiang Zhao, Weixin Zeng, Weidong Xiao:
Domain relation extraction from noisy Chinese texts. Neurocomputing 418: 21-35 (2020) - [j26]Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang:
Item Cold-Start Recommendation with Personalized Feature Selection. J. Comput. Sci. Technol. 35(5): 1217-1230 (2020) - [j25]Yi-Fan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke:
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. ACM Trans. Inf. Syst. 38(2): 12:1-12:33 (2020) - [j24]Yifan Chen, Yang Wang, Xiang Zhao, Jie Zou, Maarten de Rijke:
Block-Aware Item Similarity Models for Top-N Recommendation. ACM Trans. Inf. Syst. 38(4): 42:1-42:26 (2020) - [c49]Bing Li, Shifeng Liu, Yifang Sun, Wei Wang, Xiang Zhao:
Recursively Binary Modification Model for Nested Named Entity Recognition. AAAI 2020: 8164-8171 - [c48]Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition. AAAI 2020: 8401-8408 - [c47]Xiang Zhao:
Towards Knowledge Graphs Federations: Issues and Technologies. APWeb/WAIM Workshops 2020: 66-79 - [c46]Xin He, Jiuyang Tang, Zhen Tan, Zheng Yu, Xiang Zhao:
Paperant: Key Elements Generation with New Ideas. APWeb/WAIM (2) 2020: 294-308 - [c45]Lijun Huo, Bin Ge, Xiang Zhao:
Multi-hop Reading Comprehension Incorporating Sentence-Based Reasoning. APWeb/WAIM (1) 2020: 544-557 - [c44]Qianzhen Zhang, Deke Guo, Xiang Zhao, Xinyi Li, Xi Wang:
Seasonal-Periodic Subgraph Mining in Temporal Networks. CIKM 2020: 2309-2312 - [c43]Peixin Huang, Xiang Zhao, Ryuichi Takanobu, Zhen Tan, Weidong Xiao:
Joint Event Extraction with Hierarchical Policy Network. COLING 2020: 2653-2664 - [c42]Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng:
Cross-Graph Representation Learning for Unsupervised Graph Alignment. DASFAA (2) 2020: 368-384 - [c41]Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao, Jianye Yang:
sf GQAsf RDF: A Graph-Based Approach Towards Efficient SPARQL Query Answering. DASFAA (2) 2020: 551-568 - [c40]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin:
Collective Entity Alignment via Adaptive Features. ICDE 2020: 1870-1873 - [c39]Aibo Guo, Zhen Tan, Xiang Zhao:
Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection. KSEM (1) 2020: 65-76 - [c38]Ning Pang, Weidong Xiao, Xiang Zhao:
Chinese Text Classification via Bidirectional Lattice LSTM. KSEM (2) 2020: 250-262 - [c37]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang:
CLEEK: A Chinese Long-text Corpus for Entity Linking. LREC 2020: 2026-2035 - [c36]Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. SIGIR 2020: 811-820 - [c35]Aibo Guo, Qianzhen Zhang, Xiang Zhao:
A Graph-Based Approach Towards Risk Alerting for COVID-19 Spread. SFDI/LSGDA@VLDB 2020: 63-69 - [e2]Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao:
Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12274, Springer 2020, ISBN 978-3-030-55129-2 [contents] - [e1]Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao:
Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12275, Springer 2020, ISBN 978-3-030-55392-0 [contents] - [i6]Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. CoRR abs/2005.12132 (2020) - [i5]Yang Fang, Xiang Zhao, Weidong Xiao:
Exploring Heterogeneous Information Networks via Pre-Training. CoRR abs/2007.03184 (2020)
2010 – 2019
- 2019
- [j23]Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Measuring Entity Relatedness via Entity and Text Joint Embedding. Neural Process. Lett. 50(2): 1861-1875 (2019) - [j22]Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang, Deke Guo:
Efficient Mining of Frequent Patterns on Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 31(2): 287-300 (2019) - [j21]Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo:
Near-accurate Multiset Reconciliation. IEEE Trans. Knowl. Data Eng. 31(5): 952-964 (2019) - [c34]Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-Space Embeddings. AAAI 2019: 6204-6211 - [c33]Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao:
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. AAAI 2019: 7080-7087 - [c32]Qianzhen Zhang, Deke Guo, Xiang Zhao, Aibo Guo:
On Continuously Matching of Evolving Graph Patterns. CIKM 2019: 2237-2240 - [c31]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang:
Relevance-Based Entity Embedding. DASFAA (3) 2019: 300-304 - [c30]Ning Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao:
Iterative Entity Alignment with Improved Neural Attribute Embedding. DL4KG@ESWC 2019: 41-46 - [c29]Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang:
Learning to Select User-Specific Features for Top-N Recommendation of New Items. ICDE Workshops 2019: 141-147 - [c28]Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo:
Near-Accurate Multiset Reconciliation (Extended Abstract). ICDE 2019: 2153-2154 - [c27]Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Iterative Representation Learning for Entity Alignment Leveraging Textual Information. PKDD/ECML Workshops (1) 2019: 489-494 - [c26]Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke:
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. SIGIR 2019: 913-916 - [i4]Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-space Embeddings. CoRR abs/1906.05612 (2019) - [i3]Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition. CoRR abs/1912.01731 (2019) - [i2]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin:
Collective Embedding-based Entity Alignment via Adaptive Features. CoRR abs/1912.08404 (2019) - 2018
- [j20]Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao:
GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces. IEEE Access 6: 8232-8244 (2018) - [j19]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Haichuan Shang:
Collective List-Only Entity Linking: A Graph-Based Approach. IEEE Access 6: 16035-16045 (2018) - [j18]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism. IEEE Access 6: 20712-20721 (2018) - [j17]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
Relational Knowledge Prediction via Dynamic Bi-Mode Embedding. IEEE Access 6: 25715-25723 (2018) - [j16]Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Entity Linking on Chinese Microblogs via Deep Neural Network. IEEE Access 6: 25908-25920 (2018) - [j15]Jinzhi Liao, Jiuyang Tang, Weixin Zeng, Xiang Zhao:
Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion. IEEE Access 6: 36897-36905 (2018) - [j14]Jinzhi Liao, Jiuyang Tang, Xiang Zhao, Haichuan Shang:
Improving POI Recommendation via Dynamic Tensor Completion. Sci. Program. 2018: 3907804:1-3907804:11 (2018) - [j13]Zhen Tan, Xiang Zhao, Yang Fang, Bin Ge, Weidong Xiao:
Knowledge Graph Representation via Similarity-Based Embedding. Sci. Program. 2018: 6325635:1-6325635:12 (2018) - [j12]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
Network Embedding via a Bi-Mode and Deep Neural Network Model. Symmetry 10(5): 180 (2018) - [j11]Xiaoqiang Teng, Deke Guo, Yulan Guo, Xiang Zhao, Zhong Liu:
SISE: Self-Updating of Indoor Semantic Floorplans for General Entities. IEEE Trans. Mob. Comput. 17(11): 2646-2659 (2018) - [j10]Xiang Zhao, Chuan Xiao, Xuemin Lin, Wenjie Zhang, Yang Wang:
Efficient structure similarity searches: a partition-based approach. VLDB J. 27(1): 53-78 (2018) - [c25]Weixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao:
Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features. ICONIP (3) 2018: 16-27 - 2017
- [j9]Ruiqi Li, Xiang Zhao, Haichuan Shang, Yifan Chen, Weidong Xiao:
Fast top-k similarity join for SimRank. Inf. Sci. 381: 1-19 (2017) - [j8]Le Li, Junyi Xu, Xiang Zhao, Weidong Xiao, Shengze Hu:
Two-phase network generation towards within-network classifiers evaluation. Knowl. Based Syst. 120: 173-185 (2017) - [j7]Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao:
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion. IEEE Trans. Neural Networks Learn. Syst. 28(1): 57-70 (2017) - [c24]Zhen Tan, Xiang Zhao, Wei Wang:
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. CIKM 2017: 1777-1786 - [c23]Bo Li, Xiang Zhao, Shuai Wang, Weihong Lin, Weidong Xiao:
Relation classification using revised convolutional neural networks. ICSAI 2017: 1438-1443 - [c22]Yifan Chen, Xiang Zhao, Maarten de Rijke:
Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. SIGIR 2017: 985-988 - [c21]Ning Pang, Fengjing Yin, Xiaoyu Zhang, Xiang Zhao:
A Robust Approach for Multivariate Time Series Forecasting. SoICT 2017: 106-113 - [c20]Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Chong Zhang, Mingke He:
Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion. TRAP 2017: 69-82 - [c19]Yuheng Wang, Xiang Zhao, Yifan Chen, Wenjie Zhang, Weidong Xiao:
Local Top-N Recommendation via Refined Item-User Bi-Clustering. WISE (2) 2017: 357-371 - 2016
- [j6]Xiang Zhao, Yifan Chen, Chuan Xiao, Yoshiharu Ishikawa, Jiuyang Tang:
Frequent Subgraph Mining Based on Pregel. Comput. J. 59(8): 1113-1128 (2016) - [j5]Yifan Chen, Xiang Zhao, Jiuyang Tang, Weiming Zhang, Haichuan Shang:
Taxi-taking recommendation using real-time trajectories: an online query based approach. Comput. Syst. Sci. Eng. 31(2) (2016) - [c18]Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yanli Hu:
Content-Based Top-N Recommendation Using Heterogeneous Relations. ADC 2016: 308-320 - [c17]Xiaosheng Feng, Nikos Armenatzoglou, Hao Xu, Xiang Zhao, Pan Hui:
Finding Top- k Places for Group Social Activities. APWeb Workshops 2016: 191-203 - [c16]Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang:
Knowledge Representation Learning via Dynamic Relation Spaces. ICDM Workshops 2016: 684-691 - [i1]Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang:
Content-Based Top-N Recommendation using Heterogeneous Relations. CoRR abs/1606.08104 (2016) - 2015
- [c15]Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa:
Towards Scale-out Capability on Social Graphs. CIKM 2015: 253-262 - [c14]Peijun He, Hao Xu, Xiang Zhao, Zhitao Shen:
Scalable collective spatial keyword query. ICDE Workshops 2015: 182-189 - [c13]Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang:
Towards Frequent Subgraph Mining on Single Large Uncertain Graphs. ICDM 2015: 41-50 - 2014
- [b1]Xiang Zhao:
Efficient processing of advanced structural queries in graph databases. University of New South Wales, Sydney, Australia, 2014 - [c12]Fengjing Yin, Xiang Zhao, Guangxin Zhou, Xin Zhang, Shengze Hu:
A Negative-Aware and Rating-Integrated Recommendation Algorithm Based on Bipartite Network Projection. ADC 2014: 86-97 - [c11]Yifan Chen, Xiang Zhao, Bin Ge, Chuan Xiao, Chi-Hung Chi:
Practising Scalable Graph Similarity Joins in MapReduce. BigData Congress 2014: 112-119 - [c10]Xiang Zhao, Chuan Xiao, Wenjie Zhang, Xuemin Lin, Jiuyang Tang:
Improving Performance of Graph Similarity Joins Using Selected Substructures. DASFAA (1) 2014: 156-172 - [c9]Zheng Yu, Xiang Zhao, Liping Wang:
Encoding Document Semantic into Binary Codes Space. WAIM 2014: 535-539 - 2013
- [j4]Lin Wu, Yang Wang, John Shepherd, Xiang Zhao:
Max-sum diversification on image ranking with non-uniform matroid constraints. Neurocomputing 118: 10-20 (2013) - [j3]Qing Liu, Xiang Zhao, Kerry Taylor, Xuemin Lin, Geoffrey Squire, Corne Kloppers, Richard Miller:
Towards semantic comparison of multi-granularity process traces. Knowl. Based Syst. 52: 91-106 (2013) - [j2]Xiang Zhao, Chuan Xiao, Xuemin Lin, Qing Liu, Wenjie Zhang:
A Partition-Based Approach to Structure Similarity Search. Proc. VLDB Endow. 7(3): 169-180 (2013) - [j1]Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang, Yoshiharu Ishikawa:
Efficient processing of graph similarity queries with edit distance constraints. VLDB J. 22(6): 727-752 (2013) - [c8]Xing Feng, Xiang Zhao, Yunjun Gao, Ying Zhang:
Probabilistic Top-k Dominating Query over Sliding Windows. APWeb 2013: 782-793 - [c7]Xiang Zhao, Bin Ge, Jiuyang Tang, Weidong Xiao, Haichuan Shang:
Provenance comparison for large-scale knowledge discovery. IEEE BigData 2013: 68-75 - [c6]Xiang Zhao, Haichuan Shang, Wenjie Zhang, Xuemin Lin, Weidong Xiao:
On Efficient Graph Substructure Selection. DASFAA (2) 2013: 284-300 - [c5]Lin Wu, Yang Wang, John Shepherd, Xiang Zhao:
An Optimization Method for Proportionally Diversifying Search Results. PAKDD (1) 2013: 390-401 - [c4]Qing Liu, Kerry Taylor, Xiang Zhao, Geoffrey Squire, Xuemin Lin, Corne Kloppers, Richard Miller:
CTrace: semantic comparison of multi-granularity process traces. SIGMOD Conference 2013: 1121-1124 - [c3]Xing Feng, Wenjie Zhang, Xiang Zhao, Ying Zhang, Yunjun Gao:
Probabilistic k-Skyband Operator over Sliding Windows. WAIM 2013: 190-202 - 2012
- [c2]Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang:
Efficient Graph Similarity Joins with Edit Distance Constraints. ICDE 2012: 834-845
2000 – 2009
- 2009
- [c1]Yang Sun, Xiang Zhao, Daquan Tang, Weidong Xiao:
A Memory-Saving and Efficient Data Transformation Technique for Mixed Data Sets Visualization. IV 2009: 260-265
Coauthor Index
[j79] [j78] [j76] [j75] [c91] [j70] [j67] [j66] [j65] [j63] [j61] [c84] [c83] [c81] [c75] [i20] [i15] [b2] [j58] [j55] [j54] [j49] [j47] [c69] [c65] [i12] [j46] [j41] [j39] [c61] [j36] [j33] [j31] [j29] [c54] [c53] [c51] [i9] [i8] [i7] [j27] [c40] [c37] [c36] [i6] [j23] [c31] [c30] [c27] [i2] [j19] [j16] [j15] [c25]
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