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ORCIDXiangliang Zhang 0001
Person information
- affiliation: University of Notre Dame, IN, USA
- affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- affiliation (former): Xi'an Jiaotong University, Department of Electronic Science and Technology, China
Other persons with the same name
- Xiangliang Zhang 0002
![[0000-0001-6828-8563]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6828-8563")
— Kunming University of Science and Technology, Faculty of Information Engineering and Automation, China - Xiangliang Zhang 0003 — Liaocheng University, Department of Computer Science and Technology, China
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2020 – today
- 2023
[j96]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He:
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17(1): 171305 (2023)- [j95]Hao Wang, Chengcheng Yang, Xiangliang Zhang, Xin Gao:
Efficient locality-sensitive hashing over high-dimensional streaming data. Neural Comput. Appl. 35(5): 3753-3766 (2023) - [j94]Shichao Pei, Lu Yu, Xiangliang Zhang:
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields. IEEE Trans. Knowl. Data Eng. 35(1): 891-904 (2023) - [j93]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 2103-2117 (2023) - [j92]Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang:
Dynamic Set Similarity Join: An Update Log Based Approach. IEEE Trans. Knowl. Data Eng. 35(4): 3727-3741 (2023) - [j91]Wei Wang, Xiaoyang Suo, Xiangyu Wei, Bin Wang, Hao Wang, Hong-Ning Dai, Xiangliang Zhang:
HGATE: Heterogeneous Graph Attention Auto-Encoders. IEEE Trans. Knowl. Data Eng. 35(4): 3938-3951 (2023) - [j90]Baoyi An, Mingjun Xiao, An Liu, Yun Xu, Xiangliang Zhang, Qing Li:
Secure Crowdsensed Data Trading Based on Blockchain. IEEE Trans. Mob. Comput. 22(3): 1763-1778 (2023) - [j89]Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan:
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order. ACM Trans. Inf. Syst. 41(1): 9:1-9:30 (2023) - [c146]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM 2023: 321-329 - [c145]Xiaochuan Gou, Xiangliang Zhang:
Telecommunication Traffic Forecasting via Multi-task Learning. WSDM 2023: 859-867 - [c144]Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang:
Few-shot News Recommendation via Cross-lingual Transfer. WWW 2023: 1130-1140 - [i75]Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan:
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order. CoRR abs/2301.00867 (2023) - [i74]Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla:
Knowledge Distillation on Graphs: A Survey. CoRR abs/2302.00219 (2023) - [i73]Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan:
Learning towards Selective Data Augmentation for Dialogue Generation. CoRR abs/2303.09719 (2023) - [i72]Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner:
LogicRec: Recommendation with Users' Logical Requirements. CoRR abs/2304.11722 (2023) - [i71]Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang:
A Topic-aware Summarization Framework with Different Modal Side Information. CoRR abs/2305.11503 (2023) - 2022
- [j88]Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah:
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5: 893216 (2022) - [j87]Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591: 226-234 (2022) - [j86]Lin Xiao, Pengyu Xu, Liping Jing, Uchenna Akujuobi, Xiangliang Zhang:
Semantic guide for semi-supervised few-shot multi-label node classification. Inf. Sci. 591: 235-250 (2022) - [j85]Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 770-782 (2022) - [j84]Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang:
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2166-2176 (2022) - [j83]Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang:
Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 3048-3059 (2022) - [j82]Peng Jia, Pinghui Wang, Yuchao Zhang, Xiangliang Zhang, Jing Tao, Jianwei Ding, Xiaohong Guan, Don Towsley:
Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time. IEEE Trans. Knowl. Data Eng. 34(1): 92-106 (2022) - [j81]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang:
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. 34(5): 2091-2105 (2022) - [j80]An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou:
Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Trans. Knowl. Data Eng. 34(5): 2387-2400 (2022) - [j79]Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. IEEE Trans. Knowl. Data Eng. 34(6): 2988-3001 (2022) - [j78]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang:
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34(11): 5484-5495 (2022) - [j77]Rundong Li, Pinghui Wang, Peng Jia, Xiangliang Zhang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan:
Approximately Counting Butterflies in Large Bipartite Graph Streams. IEEE Trans. Knowl. Data Eng. 34(12): 5621-5635 (2022) - [j76]Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 33(1): 304-314 (2022) - [j75]Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4311-4321 (2022) - [j74]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. 40(1): 3:1-3:27 (2022) - [j73]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31(5): 877-896 (2022) - [c143]Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang:
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI 2022: 4014-4021 - [c142]Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang:
SAIL: Self-Augmented Graph Contrastive Learning. AAAI 2022: 8927-8935 - [c141]Xiaochuan Gou, Peng Han, Xiangliang Zhang:
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting. Big Data 2022: 727-733 - [c140]Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. Big Data 2022: 1060-1069 - [c139]Manal A. Alshehri, Xiangliang Zhang:
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation. CIKM 2022: 26-36 - [c138]Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang:
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. CIKM 2022: 1420-1429 - [c137]Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM 2022: 2393-2402 - [c136]Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang:
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM 2022: 2519-2528 - [c135]Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Scientific Paper Extractive Summarization Enhanced by Citation Graphs. EMNLP 2022: 4053-4062 - [c134]Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Church, Mohamed Elhoseiny:
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. EMNLP 2022: 8770-8785 - [c133]Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang:
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. EMNLP 2022: 9454-9464 - [c132]Shichao Pei, Lu Yu, Xiangliang Zhang:
Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). ICDE 2022: 1529-1530 - [c131]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE 2022: 1533-1534 - [c130]Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang:
Towards Understanding the Robustness Against Evasion Attack on Categorical Data. ICLR 2022 - [c129]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI 2022: 2248-2254 - [c128]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs. IJCAI 2022: 5662-5669 - [c127]Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang:
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. KDD 2022: 2450-2460 - [c126]Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang:
Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. KDD 2022: 4482-4492 - [c125]Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang:
ArMATH: a Dataset for Solving Arabic Math Word Problems. LREC 2022: 351-362 - [c124]Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang:
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving. NAACL-HLT (Findings) 2022: 997-1009 - [c123]Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang:
Towards Improving Faithfulness in Abstractive Summarization. NeurIPS 2022 - [c122]Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang:
HG-Meta: Graph Meta-learning over Heterogeneous Graphs. SDM 2022: 397-405 - [c121]Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Target-aware Abstractive Related Work Generation with Contrastive Learning. SIGIR 2022: 373-383 - [c120]Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang:
Interpretable Relation Learning on Heterogeneous Graphs. WSDM 2022: 1266-1274 - [c119]Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang:
Graph Alignment with Noisy Supervision. WWW 2022: 1104-1114 - [i70]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs: A Survey. CoRR abs/2203.09308 (2022) - [i69]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR abs/2205.00904 (2022) - [i68]Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Target-aware Abstractive Related Work Generation with Contrastive Learning. CoRR abs/2205.13339 (2022) - [i67]Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf:
Joint Abductive and Inductive Neural Logical Reasoning. CoRR abs/2205.14591 (2022) - [i66]Taicheng Guo, Lu Yu, Xiangliang Zhang:
Improving Few-shot News Recommendation via Cross-lingual Transfer. CoRR abs/2207.14370 (2022) - [i65]Zhenwei Tang, Tilman Hinnerichs, Xi Peng, Xiangliang Zhang, Robert Hoehndorf:
FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies. CoRR abs/2208.07628 (2022) - [i64]Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla:
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR abs/2208.10010 (2022) - [i63]Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang:
Towards Improving Faithfulness in Abstractive Summarization. CoRR abs/2210.01877 (2022) - [i62]Lin Xiao, Pengyu Xu, Liping Jing, Xiangliang Zhang:
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification. CoRR abs/2211.10685 (2022) - [i61]Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Ward Church, Mohamed Elhoseiny:
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. CoRR abs/2211.10780 (2022) - [i60]Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang:
Generalizing Math Word Problem Solvers via Solution Diversification. CoRR abs/2212.00833 (2022) - [i59]Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang:
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. CoRR abs/2212.00837 (2022) - [i58]Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Scientific Paper Extractive Summarization Enhanced by Citation Graphs. CoRR abs/2212.04214 (2022) - [i57]Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang:
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs. CoRR abs/2212.06836 (2022) - [i56]Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. CoRR abs/2212.13989 (2022) - 2021
- [j72]Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings Bioinform. 22(2): 1984-1999 (2021) - [j71]Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo:
DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Bioinform. 37(24): 4818-4825 (2021) - [j70]Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo:
Imbalance deep multi-instance learning for predicting isoform-isoform interactions. Int. J. Intell. Syst. 36(6): 2797-2824 (2021) - [j69]Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang:
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581: 136-154 (2021) - [j68]Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu:
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. 28(8): 804-819 (2021) - [j67]Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings of heterogeneous information networks. Mach. Learn. 110(6): 1505-1526 (2021) - [j66]Xinqing Li, Tanguy Tresor Sindihebura, Lei Zhou, Carlos M. Duarte, Daniel P. Costa, Mark A. Hindell, Clive McMahon, Mônica M. C. Muelbert, Xiangliang Zhang, Chengbin Peng:
A prediction and imputation method for marine animal movement data. PeerJ Comput. Sci. 7: e656 (2021) - [j65]Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang:
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1384-1395 (2021) - [j64]Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu:
Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1439-1450 (2021) - [j63]Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51(3): 1716-1727 (2021) - [j62]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25(8): 2848-2856 (2021) - [j61]Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data 15(1): 12:1-12:24 (2021) - [j60]Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1448-1459 (2021) - [c118]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021: 4503-4511 - [c117]Zhuo Yang, Yufei Han, Xiangliang Zhang:
Characterizing the Evasion Attackability of Multi-label Classifiers. AAAI 2021: 10647-10655 - [c116]Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song:
Does Head Label Help for Long-Tailed Multi-Label Text Classification. AAAI 2021: 14103-14111 - [c115]Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan:
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation. ACL/IJCNLP (1) 2021: 6068-6077 - [c114]Changsheng Ma, Xiangliang Zhang:
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. CIKM 2021: 1181-1190 - [c113]Zhenwen Liang, Xiangliang Zhang:
Data-Efficient Language Shaped Few-shot Image Classification. EMNLP (Findings) 2021: 4680-4686 - [c112]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng:
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. ICDE 2021: 2033-2038 - [c111]Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik:
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. ICML 2021: 6286-6295 - [c110]Zhenwen Liang, Xiangliang Zhang:
Solving Math Word Problems with Teacher Supervision. IJCAI 2021: 3522-3528 - [c109]Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang:
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. KDD 2021: 556-564 - [c108]Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung:
Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD 2021: 2084-2092 - [c107]Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) 2021: 245-256 - [c106]Zhuo Yang, Yufei Han, Xiangliang Zhang:
Attack Transferability Characterization for Adversarially Robust Multi-label Classification. ECML/PKDD (3) 2021: 397-413 - [c105]Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. SDM 2021: 486-494 - [c104]Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW 2021: 413-424 - [c103]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - [i55]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR abs/2101.02873 (2021) - [i54]Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR abs/2101.06448 (2021) - [i53]Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song:
Does Head Label Help for Long-Tailed Multi-Label Text Classification. CoRR abs/2101.09704 (2021) - [i52]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR abs/2101.11354 (2021) - [i51]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i50]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. CoRR abs/2103.13506 (2021) - [i49]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR abs/2104.00919 (2021) - [i48]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR abs/2104.01711 (2021) - [i47]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR abs/2104.01716 (2021) - [i46]Basmah Altaf, Shichao Pei, Xiangliang Zhang:
Scientific Dataset Discovery via Topic-level Recommendation. CoRR abs/2106.03399 (2021) - [i45]