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, in press.
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.
Few-Shot Named Entity Recognition with Hybrid Multi-Prototype Learning
Zenghua Liao, Junbo Fei, Weixin Zeng, Xiang Zhao*. World Wide Web, 2023, in press.
Discovering Persistent Subgraph Patterns over Streaming Graphs
Chu Huang, Qianzhen Zhang, Deke Guo, Xiang Zhao. DASFAA, 2023.
Mining top-k Frequent Patterns over Streaming Graphs
Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao. DASFAA, 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, in press.
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, in press.
Discovering Frequency Bursting Patterns in Temporal Graphs
Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo. IEEE ICDE, 2023.
Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks
Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang*, Xuemin Lin, Dian Ouyang. ACM CIKM, 2022.
Few-Shot Relational Triple Extraction with Perspective Transfer Network
Junbo Fei, Weixin Zeng*, Xiang Zhao, Xuanyi Li, Weidong Xiao. ACM CIKM, 2022.
Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together
Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo. ACM CIKM, 2022.
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher
Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao*. ACM CIKM, 2022.
A Survey of Continuous Subgraph Matching for Dynamic Graphs
Xi Wang, Qianzhen Zhang, Deke Guo*, Xiang Zhao. Knowl. Inf. Syst., 2022, in press.
PTAU: Prompt Tuning for Attributing Unanswerable Questions
Jinzhi Liao, Xiang Zhao*, Jianming Zheng, Xinyi Li, Fei Cai and Jiuyang Tang. ACM SIGIR, 2022.
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training
Peixin Huang, Xiang Zhao, Minghao Hu*, Yang Fang, Xinyi Li, Weidong Xiao. Findings of ACL, 2022.
Discovering Bursting Patterns over Streaming Graphs
Qianzhen Zhang, Deke Guo, Xiang Zhao. DASFAA, 2022.
Contrastive Heterogeneous Graphs Learning for Multi-Hop Machine Reading Comprehension
Jinzhi Liao, Xiang Zhao*, Xinyi Li, Jiuyang Tang, Bin Ge. World Wide Web, 2021, in press.
Continuous Multi-Query Optimization for Subgraph Matching over Dynamic
Graphs
Xi Wang, Qianzhen Zhang, Deke Guo*, Xiang Zhao. Semantic Web, 2021, in press.
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.
A Brief Overview of Universal Sentence Representation Methods: A Linguistic View
Ruiqi Li, Xiang Zhao*, Marie-Francine Moens. ACM Computing Surveys (CSUR), 2023, 55(3): 56:1-56:42.
Reinforced Active Entity Alignment [code]
Weixin Zeng, Xiang Zhao*, Jiuyang Tang, Changjun Fan. ACM CIKM, 2021.
To Hop or Not, That is the Question: Towards Effective Multi-hop Reasoning over Knowledge Graphs
Jinzhi Liao, Xiang Zhao*, Jiuyang Tang, Weixin Zeng, Zhen Tan. World Wide Web, 2021, 24(5): 1837-1856.
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.
Continuous Matching of Evolving Patterns Over Dynamic Graph Data
Qianzhen Zhang, Deke Guo*, Xiang Zhao*, Xi Wang. World Wide Web, 2021, 24(3): 721-745.
Joint Event Extraction with Hierarchical Policy Network
Peixin Huang, Xiang Zhao*, Ryuichi Takanobu, Zhen Tan, Weidong Xiao. COLING, 2020.
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.
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: Article No. 130103, 1-13.
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].
Seasonal-Periodic Subgraph Mining in Temporal Networks
Qianzhen Zhang, Deke Guo*, Xiang Zhao*, Xinyi Li, Xi Wang. ACM CIKM, 2020 (Short).
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.
GQA_RDF: A Graph-based Approach towards Efficient SPARQL Query Answering
Xi Wang, Qianzhen Zhang, Deke Guo*, Xiang Zhao*, Jianye Yang. DASFAA, 2020.
Cross-Graph Representation Learning for Unsupervised Graph Alignment
Weifan Wang, Minnan Luo*, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng. DASFAA, 2020.
Item Cold-start Recommendation with Personalized Feature Selection
Yifan Chen, Xiang Zhao*, Jinyuan Liu, Bin Ge, Weiming Zhang. J. Comput. Sci. Technol. (JCST), 2020, 35(5): 1217-1230.
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.
On Continuous Matching of Evolving Graph Patterns [extended version]
Qianzhen Zhang, Deke Guo*, Xiang Zhao*, Aibo Guo. ACM CIKM, 2019 (short).
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).
Relevance-based Entity Embedding
Weixin Zeng, Xiang Zhao*, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang. DASFAA, 2019 (short).
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.
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations
Zhen Tan, Xiang Zhao*, Wei Wang. ACM CIKM, 2017.
Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection [code]
Yifan Chen, Xiang Zhao, Maarten de Rijke. ACM SIGIR, 2017 (Short).
Unsupervised Metric Fusion over Multi-view Data by Graph Random Walk based Cross-view Diffusion
Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao. IEEE Trans. Neural Netw. Learning Syst. (TNNLS), 2017, 28(1): 57-70.
Frequent Subgraph Mining Based on Pregel
Xiang Zhao*, Yifan Chen, Chuan Xiao, Yoshiharu Ishikawa, Jiuyang Tang. Comput. J., 2016, 59(8): 1113-1128.
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].
Towards Frequent Subgraph Mining on Single Large Uncertain Graphs [extended version]
Yifan Chen, Xiang Zhao*, Xuemin Lin, Yang Wang. IEEE ICDM, 2015.
Towards Scale-Out Capability on Social Graphs
Haichuan Shang, Xiang Zhao, Uday Kiran, Masaru Kitsuregawa. ACM CIKM, 2015.
Improving the Performance of Graph Similarity Joins using Selected Substructures [slides]
Xiang Zhao, Chuan Xiao, Wenjie Zhang, Xuemin Lin, Jiuyang Tang. DASFAA, 2014.
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.
On Efficient Graph Substructure Selection [slides]
Xiang Zhao, Haichuan Shang, Wenjie Zhang, Xuemin Lin, Weidong Xiao. DASFAA, 2013.
Efficient Graph Similarity Joins with Edit Distance Constraints [slides] [extended version]
Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang. IEEE ICDE, 2012.
一种面向云边端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, 待刊.
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, 2022, 待刊.
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, 2021, 待刊.
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.