Xiangliang Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 344

Top Venues

CoRR

AAAI

IEEE Trans. Knowl. Data Eng.

KDD

Publications

Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang
Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD (2024)
Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi
Causality-Based Fair Multiple Decision by Response Functions. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Peng Han, Xiangliang Zhang
VGE: Gene-Disease Association by Variational Graph Embedding. Int. J. Crowd Sci. 8 (2) (2024)
Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR (2024)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54 (1) (2024)
Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Yongsheng Zhu, Guangquan Xu, Jiqiang Liu, Xiangliang Zhang
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. USENIX Security Symposium (2024)
Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. CoRR (2024)
Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
Defending Jailbreak Prompts via In-Context Adversarial Game. CoRR (2024)
Rui Cai, Shichao Pei, Xiangliang Zhang
Zero-Shot Relational Learning for Multimodal Knowledge Graphs. CoRR (2024)
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR (2024)
Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang
Flexible and Adaptable Summarization via Expertise Separation. SIGIR (2024)
Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features. AAAI (2024)
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
Large Language Model based Multi-Agents: A Survey of Progress and Challenges. CoRR (2024)
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang
Flexible and Adaptable Summarization via Expertise Separation. CoRR (2024)
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Chenxu Wang, Peijing Jiang, Xiangliang Zhang, Pinghui Wang, Tao Qin, Xiaohong Guan
GTCAlign: Global Topology Consistency-Based Graph Alignment. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. CoRR (2024)
Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52 (2024)
Qiang Yang, Xiaodong Wu, Xiuying Chen, Xin Gao, Xiangliang Zhang
Think as People: Context-Driven Multi-Image News Captioning with Adaptive Dual Attention. ICASSP (2024)
Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing Ni, Zhenwen Liang, Xiangliang Zhang
Manipulating Predictions over Discrete Inputs in Machine Teaching. CoRR (2024)
Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang
A Property-Guided Diffusion Model For Generating Molecular Graphs. ICASSP (2024)
Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning. LREC/COLING (2024)
Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective. CoRR (2024)
Ziyi Kou, Shichao Pei, Xiangliang Zhang
LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions. KDD (2024)
Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark. CoRR (2024)
Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. WWW (Companion Volume) (2024)
Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR (2024)
Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More. CoRR (2024)
Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. CoRR (2024)
Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Yongsheng Zhu, Guangquan Xu, Jiqiang Liu, Xiangliang Zhang
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. CoRR (2024)
Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR (2024)
Xiuying Chen, Tairan Wang, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang
Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark. CoRR (2024)
Qiang Yang, Xiuying Chen, Changsheng Ma, Carlos M. Duarte, Xiangliang Zhang
Advanced Framework for Animal Sound Classification With Features Optimization. CoRR (2024)
Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang
Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR (2024)
Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering. CoRR (2024)
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. CoRR (2024)
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) (2023)
Manal A. Alshehri, Xiangliang Zhang
Forgetting User Preference in Recommendation Systems with Label-Flipping. BigData (2023)
Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang
Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Hongxiao Wang, Gang Huang, Zhuo Zhao, Liang Cheng, Anna Juncker-Jensen, Mate Levente Nagy, Xin Lu, Xiangliang Zhang, Danny Z. Chen
CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification. IEEE Trans. Medical Imaging 42 (11) (2023)
Shichao Pei, Qiannan Zhang, Xiangliang Zhang
Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation. ACL (Findings) (2023)
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) (2023)
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 (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. EMNLP (2023)
Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD (2023)
Hao Wang, Chengcheng Yang, Xiangliang Zhang, Xin Gao
Efficient locality-sensitive hashing over high-dimensional streaming data. Neural Comput. Appl. 35 (5) (2023)
Xiaochuan Gou, Xiangliang Zhang
Telecommunication Traffic Forecasting via Multi-task Learning. WSDM (2023)
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 (2023)
Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout. CoRR (2023)
Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
Graph-based Molecular Representation Learning. IJCAI (2023)
Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
Generalizing Math Word Problem Solvers via Solution Diversification. AAAI (2023)
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) (2023)
Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning. CoRR (2023)
Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. CIKM (2023)
Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang
Few-shot News Recommendation via Cross-lingual Transfer. WWW (2023)
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) (2023)
Shichao Pei, Lu Yu, Xiangliang Zhang
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC (2023)
Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang
Compositional Mathematical Encoding for Math Word Problems. ACL (Findings) (2023)
Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
Spatial-temporal fusion graph framework for trajectory similarity computation. World Wide Web (WWW) 26 (4) (2023)
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
LogicRec: Recommendation with Users' Logical Requirements. CoRR (2023)
Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). ICDE (2023)
Shuo Shang, Xiangliang Zhang, Panos Kalnis
Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) 26 (5) (2023)
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. AAAI (2023)
Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang
A Diversified Attention Model for Interpretable Multiple Clusterings. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang
Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. KDD (2023)
Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang
UniMath: A Foundational and Multimodal Mathematical Reasoner. EMNLP (2023)
Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning. AAAI (2023)
Xiaochuan Gou, Lijie Hu, Di Wang, Xiangliang Zhang
A Fundamental Model with Stable Interpretability for Traffic Forecasting. GeoPrivacy@SIGSPATIAL (2023)
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 (2023)
Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. IJCAI (2023)
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks. CoRR (2023)
Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM (2023)
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. SIGIR (2023)
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) (2023)
Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. AAAI (2023)
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) (2023)
Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. AAAI (2023)
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. NeurIPS (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. CoRR (2023)
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) (2023)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR (2023)
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Waqas W. Ahmed, Mohamed Farhat, Pai-Yen Chen, Xiangliang Zhang, Ying Wu
A Generative Deep Learning Approach for Shape Recognition of Arbitrary Objects from Phaseless Acoustic Scattering Data. Adv. Intell. Syst. 5 (5) (2023)
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
LogicRec: Recommendation with Users' Logical Requirements. SIGIR (2023)
Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
Don't be Blind to Questions: Question-Oriented Math Word Problem Solving. IJCNLP (1) (2023)
Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
Knowledge Distillation on Graphs: A Survey. CoRR (2023)
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR (2023)
Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang
ArMATH: a Dataset for Solving Arabic Math Word Problems. LREC (2022)
Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. EMNLP (2022)
Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5 (2022)
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 (2022)
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) (2022)
Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
Scientific Paper Extractive Summarization Enhanced by Citation Graphs. CoRR (2022)
Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs. CoRR (2022)
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)
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) (2022)
Xiaochuan Gou, Peng Han, Xiangliang Zhang
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting. Big Data (2022)

Xiangliang Zhang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiangliang Zhang