Short Biography

Xiang Zhao (赵翔) is currently a full professor at College of Systems Engineering, National University of Defense Technology (NUDT), China, where he also serves as the head of the direction of knowledge systems engineering. During 2015-2019, he was also a concurrent research fellow at Collaborative Innovation Center of Geospatial Technology, China, led by Prof. Deren Li (李德仁) and Prof. Jianya Gong (龚健雅).

During 2020-2021, he was a visiting scholar at Xi'an Jiaotong University under the supervision of Prof. Qinghua Zheng (郑庆华). In 2013, he obtained his PhD in Computer Science and Engineering from the University of New South Wales (UNSW), Australia, under the supervision of Prof. Xuemin Lin (林学民), with A/Prof. Raymond Wong as his joint-supervisor, and Dr. Chuan Xiao as co-supervisor. He also performed research at Commonwealth Scientific and Industrial Research Organisation (CSIRO) under a project led by A/Prof. Kerry Taylor and National Information and Communication Technology Australia (NICTA, now Data61@CSIRO) under a project lead by A/Prof. Jian Zhang. Prior to that, he got his Bachelor's Degree in Information Systems Engineering at NUDT in 2008.

He is a distinguished member of China Computer Federation (CCF), the deputy secretary general of CCF Technical Committee on Information Systems, a member of CCF Expert Committee on Big Data, an executive member of CCF Technical Committee on Databases and Data Governance Development Committee, a member of Technical Committees on Language and Knowledge Computing, and BigSearch, Chinese Information Processing Society of China, and a member of society council of Management Science and Engineering of China. He was selected for the project for high-level young talents of Ministry of Education of China (国家级青年人才, 2020) and Young Talents Lift-up Program (中国科协青托, 2018) of China Association for Science and Technology, also a recipient of National Key R&D Program for Young Scientists (青年科学家, 2022), Hunan Provincial Leading Talents (湖南省领军人才, 2023)， Hunan Provincial Natural Science Fund for Distinguished Young Scholars (湖南省杰青, 2019), CICC Youth Science and Technology Award (青年科技奖, 2024), ACM SIGMOD China Rising Star Award (新星奖, 2018) and the 1st Prize of Innovation for young faculty at NUDT (青年创新奖, 2020).

Xiang's research interests include: Knowledge Graphs, Advanced Data Management, and LLMs.

News

• 2025/03: We have two full papers, one demo paper and one TKDE poster accepted by IEEE ICDE 2025!

• 2025/01: We have an oral-full paper on LLMs accepted by The ACM Web Conference 2025!

• 2024/12: We have a survey on GNNs in press in IEEE TKDE!

• 2024/12: We have three full papers accepted by AAAI 2025!

• 2024/11: We have three full papers accepted by COLING 2025!

• 2024/10: Awarded with Youth Science and Technology Award by CICC.

• 2024/07: We have an article on graph contrastive learning in press in IEEE TKDE!

• Monograph on knowledge structurization, on shelf by Science Press. Welcome to read and share!

• Monograph on entity alignment, freely available at SpringerLink. Welcome to read and share!

• Looking for post-docs & students to work on big data, knowledge engineering and LLMs!

Selected Publications (Extended List, @Google Scholar, @DBLP, @ORCID, @AMiner)

• OptMatch: an Efficient and Generic Neural Network-assisted Subgraph Matching Approach [code]
  Wenzhe Hou, Xiang Zhao, Bo Tang. IEEE ICDE, 2025.

• Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs [code]
  Runhao Zhao, Zeng Weixin, Jiuyang Tang, Yawen Li, Guanhua Ye, Junping Du, Xiang Zhao. IEEE ICDE, 2025.

• PSSD: Making Large Language Models Self-denial via Human Psyche Structure
  Jinzhi Liao, Zenghua Liao, Xiang Zhao*. The ACM Web Conference, 2025.

• The Expressive Power of Graph Neural Networks: A Survey
  Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, and Zhong Liu. IEEE Trans. Know. Data Eng. (TKDE), 2025, in press.

• Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction
  Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao. AAAI, 2025.

• Cross-modal Multi-task Learning for Multimedia Event Extraction
  Jianwei Cao, Yanli Hu, Zhen Tan, Xiang Zhao. AAAI, 2025.

• Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
  Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao. AAAI, 2025.

• Temporal Knowledge Graph Diffusion Model for Open-World Reasoning
  Yuhan Wang, Xiang Zhao*, Zhen Tan, Weidong Xiao, Xueqi Cheng. Sci. China Inf. Sci. (SCIS), 2024, in press.

• Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection
  Zhi Zeng, Minnan Luo, Xiangzheng Kong, Huan Liu, Hao Guo, Hao Yang, Zihan Ma, Xiang Zhao. ACM MM, 2024.

• Hyperedge Graph Contrastive Learning
  Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao. IEEE Trans. Know. Data Eng. (TKDE), 2024, 36(12): 8502-8514.

• I/O Efficient Label-Constrained Reachability Queries in Large Graphs
  Long Yuan, Xia Li, Zi Chen, Xuemin Lin, Xiang Zhao, Wenjie Zhang. Proc. of the VLDB Endowment (PVLDB), 2024, 17(10): 2590-2602.

• Temporal Knowledge Question Answering via Abstract Reasoning Induction
  Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang. ACL, 2024.

• Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection
  Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao. ACL, 2024.

• LearnSC: An Efficient and Unified Learning-based Framework for Subgraph Counting Problem [code]
  Wenzhe Hou, Xiang Zhao, Bo Tang. IEEE ICDE, 2024.

• Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis
  Junhui Gao, Qianru Wang, Xin Zhang, Juan Shi, Xiang Zhao, Qingye Han, Yan Pan. IEEE ICDE, 2024.

• Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended abstract]
  Weixin Zeng, Xiang Zhao*, Zhen Tan, Jiuyang Tang, Xueqi Cheng. IEEE ICDE, 2024 (poster).

• Few-shot Learning for Heterogeneous Information Networks
  Yang Fang, Xiang Zhao*, Weidong Xiao, Maarten de Rijke. ACM Trans. Info. Syst. (TOIS), 2024, 42(4): 107:1–107:24.

• Fine-grained Anomaly Detection on Dynamic Graphs via Attention Alignment
  Dong Chen, Xiang Zhao*, Weidong Xiao. IEEE ICDE, 2024.

• Multi-granularity Temporal Question Answering over Knowledge Graphs [code]
  Ziyang Chen, Jinzhi Liao, Xiang Zhao*. ACL, 2023.

• Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [code]
  Weixin Zeng, Xiang Zhao*, Zhen Tan, Jiuyang Tang, Xueqi Cheng. IEEE Trans. Know. Data Eng. (TKDE), 2023, 35(12): 12770-12784.

• Personalized Federated Relation Classification over Heterogeneous Texts [code]
  Ning Pang, Xiang Zhao*, Weixin Zeng, Ji Wang, Weidong Xiao. ACM SIGIR, 2023.

• Graph Self-supervised Learning with Augmentation-aware Contrastive Learning
  Dong Chen, Xiang Zhao*, Wei Wang, Zhen Tan, Weidong Xiao. The ACM Web Conference, 2023.

• (p,q)-Biclique Counting and Enumeration for Large Sparse Bipartite Graphs
  Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao. VLDB J., 2023, 2(5): 1137-1161.

• PF-HIN: Pre-Training for Heterogeneous Information Networks
  Yang Fang, Xiang Zhao*, Yifan Chen, Weidong Xiao, Maarten de Rijke. IEEE Trans. Know. Data Eng. (TKDE), 2022, 35(8): 8372-8385.

• Discovering Frequency Bursting Patterns in Temporal Graphs
  Qianzhen Zhang, Deke Guo*, Xiang Zhao*, Long Yuan, Lailong Luo. IEEE ICDE, 2023.

• PTAU: Prompt Tuning for Attributing Unanswerable Questions
  Jinzhi Liao, Xiang Zhao*, Jianming Zheng, Xinyi Li, Fei Cai and Jiuyang Tang. ACM SIGIR, 2022.

• On Entity Alignment at Scale
  Weixin Zeng, Xiang Zhao*, Xinyi Li, Jiuyang Tang, Wei Wang. VLDB J., 2022, 31(5): 1009-1033.

• Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraph
  Yang Fang, Xiang Zhao*, Peixin Huang, Weidong Xiao, Maarten de Rijke. ACM Trans. Info. Syst. (TOIS), 2022, 40(4): 64:1-64:27.

• Learning Discriminative Neural Representations for Event Detection [code]
  Jinzhi Liao, Xiang Zhao*, Xinyi Li*, Lingling Zhang, Jiuyang Tang. ACM SIGIR, 2021.

• Towards Entity Alignment in the Open World: An Unsupervised Approach [code]
  Weixin Zeng, Xiang Zhao*, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng. DASFAA, 2021. [Best Paper]

• Reinforcement Learning based Collective Entity Alignment with Adaptive Features [code]
  Weixin Zeng, Xiang Zhao*, Jiuyang Tang, Xuemin Lin, Paul Groth. ACM Trans. Info. Syst. (TOIS), 2021, 39(3): 26:1-26:31.

• An Experimental Study of State-of-the-Art Entity Alignment Approaches [code]
  Xiang Zhao*, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian M. Suchanek. IEEE Trans. Know. Data Eng. (TKDE), 2022, 34(6): 2610-2625. [ESI Highly Cited Paper]

• Few-shot Text Classification by Leveraging Bi-directional Attention and Cross-class Knowledge
  Ning Pang, Xiang Zhao*, Wei Wang, Weidong Xiao, Deke Guo. Sci. China Inf. Sci. (SCIS), 2021, 64(3).

• Block-aware Item Similarity Models for Top-N Recommendations
  Yifan Chen*, Yang Wang, Xiang Zhao, Jie Zou, Maarten de Rijke. ACM Trans. Info. Syst. (TOIS), 2020, 38(4): 42:1-42:26.

• Multi-hop Reading Comprehension Incorporating Sentence-Based Reasoning [extended version]
  Lijun Huo, Bin Ge, Xiang Zhao*. APWeb-WAIM, 2020. [Best Paper]

• Chinese Text Classification via Bidirectional Lattice LSTM
  Ning Pang, Weidong Xiao, Xiang Zhao*. KSEM, 2020. [Best Student Paper Runner-up]

• Degree-Aware Alignment for Entities in Tail [code]
  Weixin Zeng, Xiang Zhao*, Wei Wang, Jiuyang Tang, Zhen Tan. ACM SIGIR, 2020.

• Collective Entity Alignment via Adaptive Features [code] [extended version]
  Weixin Zeng, Xiang Zhao*, Jiuyang Tang, Xuemin Lin. IEEE ICDE, 2020 (short).

• Local Variational Feature-Based Similarity Models for Recommending Top-N New Items
  Yifan Chen, Yang Wang*, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke. ACM Trans. Info. Syst. (TOIS), 2020, 38(2): Article No. 12, 1-33.

• Recursively Binary Modification Model for Nested Named Entity Recognition
  Bing Li, Shifeng Liu, Yifang Sun, Wei Wang, Xiang Zhao. AAAI, 2020.

• HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition
  Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao. AAAI, 2020.

• M-HIN: Complex Embedding for Heterogeneous Information Networks via Metagraphs [extended version]
  Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke. ACM SIGIR, 2019 (short).

• Near-accurate Multiset Reconciliation (Extended Abstract)
  Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo. IEEE ICDE, 2019 (poster).

• Jointly Extracting Multiple Triplets with Multilayer Translation Constraints
  Zhen Tan, Xiang Zhao*, Wei Wang, Weidong Xiao. AAAI, 2019.

• Antonym-Synonym Classification based on New Sub-space Embeddings
  Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao. AAAI, 2019.

• Near-accurate Multiset Reconciliation [extended abstract]
  Lailong Luo, Deke Guo*, Xiang Zhao*, Jie Wu, Ori Rottenstreich, Xueshan Luo. IEEE Trans. Know. Data Eng. (TKDE), 2019, 31(5): 952-964.

• SISE: Self-updating of Indoor Semantic Floorplans for General Entities
  Xiaoqiang Teng, Deke Guo*, Yulan Guo*, Xiang Zhao, Zhong Liu. IEEE Trans. Mob. Comput. (TMC), 2018, 17(11): 2646-2659.

• Efficient Mining of Frequent Patterns on Uncertain Graphs [code]
  Yifan Chen, Xiang Zhao*, Xuemin Lin, Yang Wang, Deke Guo*. IEEE Trans. Know. Data Eng. (TKDE), 2019, 31(2): 287-300.

• Efficient Structure Similarity Search: A Partition-Based Approach
  Xiang Zhao, Chuan Xiao*, Xuemin Lin, Wenjie Zhang, Yang Wang. VLDB J., 2018, 27(1): 53-78.

• Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection [code]
  Yifan Chen, Xiang Zhao, Maarten de Rijke. ACM SIGIR, 2017 (Short).

• Content-Based Top-N Recommendation Using Heterogeneous Relations
  Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yanli Hu. ADC, 2016. [Best Student Paper Runner-up]

• A Partition-Based Approach to Structure Similarity Search [slides] [extended version]
  Xiang Zhao, Chuan Xiao, Xuemin Lin, Qing Liu, Wenjie Zhang. Proc. of the VLDB Endowment (PVLDB), 2013, 7(3): 169-180.

• CTrace: Semantic Comparison of Multi-Granularity Process Traces [extended version]
  Qing Liu, Kerry Taylor, Xiang Zhao, Geoffrey Squire, Xuemin Lin, Corne Kloppers, Richard Miller. ACM SIGMOD Conference, 2013 (Demo).

• Efficient Processing of Graph Similarity Queries with Edit Distance Constraints
  Xiang Zhao*, Chuan Xiao, Xuemin Lin, Wei Wang, Yoshiharu Ishikawa. VLDB J., 2013, 22(6): 727-752.

• Efficient Graph Similarity Joins with Edit Distance Constraints [slides] [extended version]
  Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang. IEEE ICDE, 2012.

• 基于人机协作的多智能体科学假设生成
  陈子阳, 赵翔, 赵润豪, 倪子淇, 叶益聪. 计算机研究与发展, 2025, 待刊.

• 基于事件驱动的超图卷积网络的谣言检测方法
  赵书庆, 曾智, 刘欢, 赵翔, 罗敏楠. 计算机研究与发展, 2024, 61(8): 1982-1992.

• 时序知识图谱表示与推理的研究进展
  王俞涵, 陈子阳, 赵翔*, 谭真, 肖卫东, 程学旗. 软件学报, 2024, 35(8):3923-3951.

• 基于信息瓶颈理论的鲁棒少标签虚假信息检测
  王吉宏, 赵书庆, 罗敏楠, 刘欢, 赵翔, 郑庆华. 计算机研究与发展, 2024, 61(7): 1629-1642.

• 面向时序图数据的季节突发性子图挖掘算法
  张千桢, 郭得科, 赵翔. 软件学报, 2024, 35(12):5526-5543.

• 一种面向云边端系统的分层异构联邦学习方法
  钟正仪, 包卫东, 王吉*, 吴冠霖, 赵翔. 计算机研究与发展, 2022, 59(11): 2408-2422.

• 跳跃滤波:一种面向大数据治理的动态数据摘要技术
  符鹏涛, 罗来龙, 郭得科, 赵翔, 李尚森, 王怀民. 软件学报, 2023, 34(3): 1193-1212.

• 自适应特征融合的多模态实体对齐研究
  郭浩, 李欣奕*, 唐九阳, 郭延明, 赵翔. 自动化学报, 2024, 50(4): 1001−1013.

• 新一代知识图谱关键技术研究进展综述
  王萌, 王昊奋*, 李博涵, 赵翔, 王鑫. 计算机研究与发展, 2022, 59(9): 1947-1965.

• 可解释深度知识追踪模型
  刘坤佳, 李欣奕*, 唐九阳*, 赵翔. 计算机研究与发展, 2021, 58(12): 2618-2629.

• 面向高效并行Skyline计算的数据划分方法
  赵翔, 商海川. 计算机学报, 2020, 43(11): 2050-2066.

• 基于重排序的迭代式实体对齐
  曾维新, 赵翔, 唐九阳, 谭真, 王炜. 计算机研究与发展, 2020, 57(7): 1460-1471.

• 融合对抗训练的端到端知识三元组联合抽取
  黄培馨, 赵翔, 方阳, 朱慧明, 肖卫东. 计算机研究与发展, 2019, 56(12): 2536-2548.

• 动态图模式匹配技术综述
  许嘉, 张千桢, 赵翔, 吕品, 李陶深. 软件学报, 2018, 29(3): 663-688.

• 一种改进的基于翻译的知识图谱表示方法
  方阳, 赵翔, 谭真, 肖卫东. 计算机研究与发展, 2018, 55(1): 139-150.

• 一种改进的基于BSP的大图计算模型
  赵翔, 李博, 商海川, 肖卫东. 计算机学报, 2017, 40(1): 223-235.

• 一种多变元网络可视化方法
  孙杨, 赵翔, 唐九阳, 汤大权, 肖卫东. 软件学报, 2010, 21(9): 2250-2261.

Professional Services

• Journal editorial board:

  • Regular members: 国防科技大学学报 (2024- ), 计算机工程与应用 (2022- ), 系统工程 (2025- ), IEEE Access (2018-2022)

  • Guest members: 软件学报 (2023), 计算机研究与发展 (2024), 计算机科学与探索 (2023), Applied Sciences (2024)

  • Youth members: SPJ Intelligent Computing (2020- ), 计算机工程 (2020- )

• Invited journal reviewers:

  Proc. VLDB, VLDB Journal, IEEE TKDE, ACM TOIS, IEEE TNNLS, IEEE TPDS, WWW Journal, Knowl. Based Syst., Inf. Sci., Int. J. Intell. Syst., Eng. Appl. of AI, Pattern Recognit. Lett., JCSS, JISE, JGAA, JCP, IRMJ, Data Techn. and Applic., Data Sci. and Eng., Info. Syst. Frontier, Fuzzy Sets Syst., 计算机学报, 软件学报, 计算机科学与探索, 计算机科学, 计算机工程

• Member of organization committees:

  • Program co-chairs: MLNLP 2024, IEEE BigData 2023 (vice), WISA 2023, AIEDM 2024, KGMA 2023

  • Demo co-chairs: NDBC 2024

  • Tutorial co-chairs: APWeb-WAIM 2024, APWeb-WAIM 2022

  • Publication co-chairs: BigDIA 2023, WISA 2022, KSEM 2020

  • Web co-chairs: APWeb 2013, BigDIA 2016

• Member of program committees:

  • International conferences: VLDB, TheWebConf, IEEE ICDE, ACM SIGKDD, AAAI, ARR, ACL, ACM CIKM, ACM WSDM, DASFAA (SPC), COLING, APWeb-WAIM (SPC), AACL, IEEE DSC, DASS, AKBC, ADC, BigData, SETE (track chair), FCST, FAB, PRICAI, BigDIA

  • National conferences: CCKS (area chair), WISA, CCF BigData, NDBC, CCL

  • Workshops: LSGDA, TextGraphs, KBCOM, SFDI, BiDEDE, SBD, GAP, BioBAD, KMBA, IWCSE

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Awards and Grants

• The 1st Prize of CICC Scientific and Technological Progress Award, awarded by Chinese Institute of Command and Control, 2023

• The 2nd Prize of CCF Natural Science Award, awarded by China Computer Federation, 2022

• The 2nd Prize of Ministerial and Provincial Scientific and Technological Progress Award, 2020

• Best Paper Award of CCF WISA 2022

• Best Paper Award of DASFAA 2021

• Best Paper Award of APWeb-WAIM 2020

• Sashixuan Outstanding Student Paper Award of CCF NDBC 2022

• Best Student Paper Award of KSEM 2020

• Best Student Paper Award of ADC 2016

• CICC Youth Science and Technology Award (2024), awarded by Chinese Institute of Command and Control

• ACM SIGMOD China Rising Star Award (2018), awarded by ACM China

• The Science and Technology Innovation Program (Leading Talents) of Hunan Province (2023), awarded by Department of Science and Technology of Hunan

• High-level Young Talents Award Scheme (2020), awarded by Ministry of Education, China

• Young Talents Lift-up Program (2018), awarded by China Association for Science and Technology

• Co-PI of NSFC Joint Fund for Regional Innovation and Development (2024-2027): Research on Intelligent Computing Fundamental Theories and Key Algorithms for Heterogeneous Big Data, approved by NSFC

• PI of NSF General Project (2023-2026): Research on Key Technologies of Temporal Knowledge Graphs under Incomplete Information, approved by NSFC

• PI of National Key R&D Program for Young Scientists (2022-2025): Misinformation Detection and Source Localization Methods in Social Networks under Limited Perception, approved by Ministry of Science and Technology, China

• Co-PI of NSFC Regional Joint Key Project (2020-2023): Architecture and Resilient Service of Smart Edge Computing for Big Data, approved by NSFC

• PI of NSFC General Project (2019-2022): Harvest and Utilization of Domain Knowledge Graphs with Scarce Sample Constraints, approved by NSFC

• PI of Provincial NSF Project for Distinguished Young Scholars (2019-2021): Theory and Method of Graph Data Management and Analytics for Cognitive Intelligence of Intelligence, approved by Department of Science and Technology of Hunan

• PI of NSFC Project for Young Scholars (2015-2017): Processing Structural Similarity Queries on Large-Scale Graph Data, approved by NSFC

• PI of Provincial NSF Project for Young Scholars (2015-2017): Frequent Subgraph Mining in Single Massive Graphs, approved by Department of Science and Technology of Hunan