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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
- Xiangliang Zhang 0004 — China University of Mining and Technology, School of Resources and Geosciences, Xuzhou, China
- Xiangliang Zhang 0005 — Huzhou College, School of Intelligent Manufacturing, China
- Xiangliang Zhang 0006 — Zhejiang University, School of Mechanical Engineering, Hangzhou, China
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2020 – today
- 2025
[j115]Hongzhi Yin, Bin Cui, Xiaofang Zhou, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang:
Special topic on cloud-edge collaboration for on-device recommendation. Sci. China Inf. Sci. 68(4) (2025)- [j114]Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla:
Knowledge Distillation on Graphs: A Survey. ACM Comput. Surv. 57(8): 189:1-189:16 (2025) - [j113]Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Kai Chen, Yidong Li, Jiqiang Liu, Xiangliang Zhang:
CoBA: Collusive Backdoor Attacks With Optimized Trigger to Federated Learning. IEEE Trans. Dependable Secur. Comput. 22(2): 1506-1518 (2025) - [j112]Guorong Chen, Chao Li, Wei Wang, Li Duan, Bin Wang, Zhen Han, Xiangliang Zhang:
FairReward: Towards Fair Reward Distribution Using Equity Theory in Blockchain-Based Federated Learning. IEEE Trans. Dependable Secur. Comput. 22(2): 1612-1626 (2025) - [c199]Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang:
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. AAAI 2025: 22497-22505 - [c198]Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang:
DataGen: Unified Synthetic Dataset Generation via Large Language Models. ICLR 2025 - [c197]Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang:
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. ICLR 2025 - [c196]Xiangqi Wang, Tianyu Yang, Jason R. Rohr, Brett Scheffers, Nitesh V. Chawla, Xiangliang Zhang:
WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights. WSDM 2025: 1064-1067 - [c195]Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang:
WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. WWW 2025: 1834-1845 - [c194]Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang:
UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs. WWW 2025: 1846-1855 - [i121]Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu:
Preference Leakage: A Contamination Problem in LLM-as-a-judge. CoRR abs/2502.01534 (2025) - [i120]Yue Huang, Yanbo Wang, Zixiang Xu, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang:
Breaking Focus: Contextual Distraction Curse in Large Language Models. CoRR abs/2502.01609 (2025) - [i119]Yue Huang, Chujie Gao, Yujun Zhou, Kehan Guo, Xiangqi Wang, Or Cohen-Sasson, Max Lamparth, Xiangliang Zhang:
Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles. CoRR abs/2502.06059 (2025) - [i118]Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Prayel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang:
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond. CoRR abs/2502.09897 (2025) - [i117]Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang:
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. CoRR abs/2502.13996 (2025) - [i116]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i115]Xiuying Chen, Tairan Wang, Juexiao Zhou, Zirui Song, Xin Gao, Xiangliang Zhang:
Evaluating and Mitigating Bias in AI-Based Medical Text Generation. CoRR abs/2504.17279 (2025) - 2024
- [j111]Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52: 100621 (2024) - [j110]Peng Han, Xiangliang Zhang:
VGE: Gene-Disease Association by Variational Graph Embedding. Int. J. Crowd Sci. 8(2): 95-99 (2024) - [j109]Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang:
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1406-1415 (2024) - [j108]Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo:
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54(1): 486-495 (2024) - [j107]Xiangping Kang, Guoxian Yu, Lanju Kong, Carlotta Domeniconi, Xiangliang Zhang, Qingzhong Li:
FedTA: Federated Worthy Task Assignment for Crowd Workers. IEEE Trans. Dependable Secur. Comput. 21(4): 4098-4109 (2024) - [j106]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): 61:1-61:23 (2024) - [j105]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): 2009-2025 (2024) - [j104]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): 2534-2544 (2024) - [c193]Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang:
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features. AAAI 2024: 8274-8282 - [c192]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. ACL (Short Papers) 2024: 109-119 - [c191]Rui Cai, Shichao Pei, Xiangliang Zhang:
Zero-Shot Relational Learning for Multimodal Knowledge Graphs. IEEE Big Data 2024: 499-508 - [c190]Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang:
FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition. CIKM 2024: 1121-1131 - [c189]Xiaobao Huang, Mihir Surve, Yuhan Liu, Tengfei Luo, Olaf Wiest, Xiangliang Zhang, Nitesh V. Chawla:
Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning. CIKM 2024: 3797-3801 - [c188]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: 11307-11318 - [c187]Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun:
1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024: 13394-13412 - [c186]Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang:
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. EMNLP (Findings) 2024: 15894-15904 - [c185]Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang:
Defending Jailbreak Prompts via In-Context Adversarial Game. EMNLP 2024: 20084-20105 - [c184]Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang:
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. EMNLP 2024: 20561-20570 - [c183]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: 2365-2369 - [c182]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: 4430-4434 - [c181]Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang:
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. ICML 2024 - [c180]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, 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, Joaquin Vanschoren, John C. 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, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c179]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. IJCAI 2024: 8048-8057 - [c178]Ziyi Kou, Shichao Pei, Xiangliang Zhang:
LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions. KDD 2024: 1418-1427 - [c177]Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang:
Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD 2024: 2094-2105 - [c176]Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang:
HonestLLM: Toward an Honest and Helpful Large Language Model. NeurIPS 2024 - [c175]Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang:
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation. NeurIPS 2024 - [c174]Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai:
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators. NeurIPS 2024 - [c173]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: 2018-2027 - [c172]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 - [c171]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: 790-793 - [i114]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, 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 C. 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 abs/2401.05561 (2024) - [i113]Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing Ni, Zhenwen Liang, Xiangliang Zhang:
Manipulating Predictions over Discrete Inputs in Machine Teaching. CoRR abs/2401.17865 (2024) - [i112]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 abs/2402.01680 (2024) - [i111]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 abs/2402.05138 (2024) - [i110]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 abs/2402.05971 (2024) - [i109]Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla:
UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR abs/2402.08023 (2024) - [i108]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 abs/2402.13148 (2024) - [i107]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 abs/2402.14359 (2024) - [i106]Rui Cai, Shichao Pei, Xiangliang Zhang:
Zero-Shot Relational Learning for Multimodal Knowledge Graphs. CoRR abs/2404.06220 (2024) - [i105]Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang:
Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR abs/2405.17984 (2024) - [i104]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 abs/2405.19444 (2024) - [i103]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 abs/2406.00380 (2024) - [i102]Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang:
Flexible and Adaptable Summarization via Expertise Separation. CoRR abs/2406.05360 (2024) - [i101]Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang:
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. CoRR abs/2406.05361 (2024) - [i100]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 abs/2406.06207 (2024) - [i99]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 abs/2406.06777 (2024) - [i98]Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang:
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. CoRR abs/2406.13662 (2024) - [i97]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 abs/2406.14721 (2024) - [i96]Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun:
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR abs/2406.17675 (2024) - [i95]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 abs/2406.18966 (2024) - [i94]Qiang Yang, Xiuying Chen, Changsheng Ma, Carlos M. Duarte, Xiangliang Zhang:
Advanced Framework for Animal Sound Classification With Features Optimization. CoRR abs/2407.03440 (2024) - [i93]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 abs/2407.11477 (2024) - [i92]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 abs/2407.16931 (2024) - [i91]Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang:
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR abs/2410.02736 (2024) - [i90]Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz:
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. CoRR abs/2410.05318 (2024) - [i89]Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang:
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs. CoRR abs/2410.14182 (2024) - [i88]Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy:
Knowledge Graph Enhanced Language Agents for Recommendation. CoRR abs/2410.19627 (2024) - [i87]Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye, Xiangqi Wang, Xiuying Chen, Mohamed Elhoseiny, Xiangliang Zhang:
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves? CoRR abs/2410.21259 (2024) - [i86]Tianyu Yang, Lisen Dai, Zheyuan Liu, Xiangqi Wang, Meng Jiang, Yapeng Tian, Xiangliang Zhang:
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP. CoRR abs/2410.23330 (2024) - [i85]Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang:
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR abs/2410.23426 (2024) - [i84]Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang:
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. CoRR abs/2411.04933 (2024) - [i83]Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang:
UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS. CoRR abs/2411.18797 (2024) - [i82]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - [i81]Lang Gao, Xiangliang Zhang, Preslav Nakov, Xiuying Chen:
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. CoRR abs/2412.17034 (2024) - 2023
- [j103]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) - [j102]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) - [j101]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) - [j100]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: 2616-2628 (2023) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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): 8852-8864 (2023) - [j94]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) - [j93]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): 3179-3193 (2023) - [j92]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): 4345-4358 (2023) - [j91]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) - [j90]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): 1501-1523 (2023) - [j89]Shuo Shang, Xiangliang Zhang, Panos Kalnis:
Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) 26(5): 2395-2397 (2023) - [c170]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: 4893-4901 - [c169]Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang:
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. AAAI 2023: 6753-6761 - [c168]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: 9020-9028 - [c167]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: 12673-12681 - [c166]Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang:
Generalizing Math Word Problem Solvers via Solution Diversification. AAAI 2023: 13183-13191 - [c165]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: 6846-6857 - [c164]Shichao Pei, Qiannan Zhang, Xiangliang Zhang:
Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation. ACL (Findings) 2023: 7252-7264 - [c163]Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang:
Compositional Mathematical Encoding for Math Word Problems. ACL (Findings) 2023: 10008-10017 - [c162]Manal A. Alshehri, Xiangliang Zhang:
Forgetting User Preference in Recommendation Systems with Label-Flipping. IEEE Big Data 2023: 271-281 - [c161]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: 1097-1106 - [c160]Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang:
UniMath: A Foundational and Multimodal Mathematical Reasoner. EMNLP 2023: 7126-7133 - [c159]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: 14384-14396 - [c158]Xiaochuan Gou, Lijie Hu, Di Wang, Xiangliang Zhang:
A Fundamental Model with Stable Interpretability for Traffic Forecasting. GeoPrivacy@SIGSPATIAL 2023: 10-13 - [c157]Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). ICDE 2023: 3843-3844 - [c156]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 - [c155]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: 983-990 - [c154]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: 6638-6646 - [c153]Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang:
Don't be Blind to Questions: Question-Oriented Math Word Problem Solving. IJCNLP (1) 2023: 15-25 - [c152]Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang:
Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. KDD 2023: 1862-1871 - [c151]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD 2023: 2988-2998 - [c150]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 - [c149]Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf:
Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC 2023: 522-540 - [c148]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: 1416-1425 - [c147]Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner:
LogicRec: Recommendation with Users' Logical Requirements. SIGIR 2023: 2129-2133 - [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 - [i80]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) - [i79]Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla:
Knowledge Distillation on Graphs: A Survey. CoRR abs/2302.00219 (2023) - [i78]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) - [i77]Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner:
LogicRec: Recommendation with Users' Logical Requirements. CoRR abs/2304.11722 (2023) - [i76]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) - [i75]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 abs/2305.14386 (2023) - [i74]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 abs/2305.18365 (2023) - [i73]Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang:
Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR abs/2306.01090 (2023) - [i72]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 abs/2307.07951 (2023) - [i71]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 abs/2310.04674 (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. IEEE 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. IEEE 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]Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung:
Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR abs/2106.03569 (2021) - [i44]Zhuo Yang, Yufei Han, Xiangliang Zhang:
Attack Transferability Characterization for Adversarially Robust Multi-label Classification. CoRR abs/2106.15360 (2021) - [i43]Zhenwen Liang, Jipeng Zhang, Jie Shao, Xiangliang Zhang:
MWP-BERT: A Strong Baseline for Math Word Problems. CoRR abs/2107.13435 (2021) - [i42]Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. CoRR abs/2108.07403 (2021) - [i41]Dan Su, Jiqiang Liu, Sencun Zhu, Xiaoyang Wang, Wei Wang, Xiangliang Zhang:
AppQ: Warm-starting App Recommendation Based on View Graphs. CoRR abs/2109.03798 (2021) - [i40]Hind Alamro, Manal Alshehri, Basma Alharbi, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang:
Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST. CoRR abs/2109.14456 (2021) - [i39]Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR abs/2111.04068 (2021) - [i38]Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR abs/2111.04073 (2021) - [i37]Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR abs/2111.04080 (2021) - [i36]Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Meta Cross-Modal Hashing on Long-Tailed Data. CoRR abs/2111.04086 (2021) - [i35]Yingquan Li, Zhenwen Liang, Ibrahima N'Doye, Xiangliang Zhang, Mohamed-Slim Alouini, Taous-Meriem Laleg-Kirati:
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication. CoRR abs/2112.14948 (2021) - 2020
- [j59]Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Differentiating isoform functions with collaborative matrix factorization. Bioinform. 36(6): 1864-1871 (2020) - [j58]Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu:
Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. 21-S(16): 420 (2020) - [j57]Yanan Zhang, Guanfeng Liu, An Liu, Yifan Zhang, Zhixu Li, Xiangliang Zhang, Qing Li:
Personalized Geographical Influence Modeling for POI Recommendation. IEEE Intell. Syst. 35(5): 18-27 (2020) - [j56]Siuly Siuly, Xiangliang Zhang:
Guest Editorial: Special issue on "Application of artificial intelligence in health research". Health Inf. Sci. Syst. 8(1): 1 (2020) - [j55]Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63: 153-165 (2020) - [j54]Yujun Chen, Ke Sun, Juhua Pu, Zhang Xiong, Xiangliang Zhang:
GraPASA: Parametric graph embedding via siamese architecture. Inf. Sci. 512: 1442-1457 (2020) - [j53]Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang:
Multi-label zero-shot learning with graph convolutional networks. Neural Networks 132: 333-341 (2020) - [j52]Hui Chen, Tarig Ballal, Ali Hussein Muqaibel, Xiangliang Zhang, Tareq Y. Al-Naffouri:
Air Writing via Receiver Array-Based Ultrasonic Source Localization. IEEE Trans. Instrum. Meas. 69(10): 8088-8101 (2020) - [j51]Xing Liu, Jiqiang Liu, Sencun Zhu, Wei Wang, Xiangliang Zhang:
Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Trans. Mob. Comput. 19(5): 1184-1199 (2020) - [j50]Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis:
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38(2): 16:1-16:32 (2020) - [j49]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang:
CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. 38(4): 34:1-34:40 (2020) - [j48]Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data. IEEE Trans. Signal Process. 68: 1574-1588 (2020) - [j47]Yujun Chen, Juhua Pu, Xingwu Liu, Xiangliang Zhang:
Gaussian mixture embedding of multiple node roles in networks. World Wide Web 23(2): 927-950 (2020) - [c102]Yufei Han, Xiangliang Zhang:
Robust Federated Learning via Collaborative Machine Teaching. AAAI 2020: 4075-4082 - [c101]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI 2020: 6348-6355 - [c100]Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang:
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. BIBM 2020: 115-120 - [c99]Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou:
Decentralized Embedding Framework for Large-Scale Networks. DASFAA (3) 2020: 425-441 - [c98]Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. ICASSP 2020: 8763-8767 - [c97]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. ICDM 2020: 651-660 - [c96]Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Partial Multi-label Learning using Label Compression. ICDM 2020: 761-770 - [c95]Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He:
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM 2020: 1334-1339 - [c94]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM 2020: 1370-1375 - [c93]Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI 2020: 3124-3130 - [c92]Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu:
Isoform-Disease Association Prediction by Data Fusion. ISBRA 2020: 44-55 - [c91]Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang:
Attackability Characterization of Adversarial Evasion Attack on Discrete Data. KDD 2020: 1415-1425 - [c90]Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang:
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. KDD 2020: 2175-2184 - [c89]Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla:
Multi-modal Network Representation Learning. KDD 2020: 3557-3558 - [c88]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. NeurIPS 2020 - [c87]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. SDM 2020: 451-459 - [c86]Jia Chen, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao, Zhigang Chen, Xiangliang Zhang:
Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment. ISWC (1) 2020: 92-109 - [c85]Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang:
Recurrent Attention Walk for Semi-supervised Classification. WSDM 2020: 16-24 - [e5]Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang:
Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12486, Springer 2020, ISBN 978-3-030-62222-0 [contents] - [e4]Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang:
Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12487, Springer 2020, ISBN 978-3-030-62459-0 [contents] - [e3]Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang:
Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12488, Springer 2020, ISBN 978-3-030-62462-0 [contents] - [i34]Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang:
Efficient long-distance relation extraction with DG-SpanBERT. CoRR abs/2004.03636 (2020) - [i33]Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang:
Addressing Class-Imbalance Problem in Personalized Ranking. CoRR abs/2005.09272 (2020) - [i32]Qiang Yang, Hind Alamro, Somayah Albaradei, Adil Salhi, Xiaoting Lv, Changsheng Ma, Manal Alshehri, Inji Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao, Xiangliang Zhang:
SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic. CoRR abs/2006.10842 (2020) - [i31]Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. CoRR abs/2007.05911 (2020) - [i30]Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik:
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. CoRR abs/2008.10898 (2020) - [i29]Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang:
Self-supervised Smoothing Graph Neural Networks. CoRR abs/2009.00934 (2020) - [i28]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. CoRR abs/2010.01916 (2020) - [i27]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. CoRR abs/2010.02024 (2020) - [i26]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR abs/2010.02539 (2020) - [i25]Basma Alharbi, Hind Alamro, Manal Alshehri, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang:
ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset. CoRR abs/2011.00578 (2020) - [i24]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR abs/2012.06852 (2020) - [i23]Zhuo Yang, Yufei Han, Xiangliang Zhang:
Characterizing the Evasion Attackability of Multi-label Classifiers. CoRR abs/2012.09427 (2020)
2010 – 2019
- 2019
- [j46]Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li:
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7: 47682-47686 (2019) - [j45]Juhua Pu, Yue Wang, Xinran Liu, Xiangliang Zhang:
STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection. IEEE Access 7: 63036-63044 (2019) - [j44]Wei Wang, Meichen Zhao, Zhenzhen Gao, Guangquan Xu, Hequn Xian, Yuanyuan Li, Xiangliang Zhang:
Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions. IEEE Access 7: 67602-67631 (2019) - [j43]Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, Xiaohong Guan:
SNOD: a fast sampling method of exploring node orbit degrees for large graphs. Knowl. Inf. Syst. 61(1): 301-326 (2019) - [j42]Weiqi Wang, An Liu, Zhixu Li, Xiangliang Zhang, Qing Li, Xiaofang Zhou:
Protecting multi-party privacy in location-aware social point-of-interest recommendation. World Wide Web 22(2): 863-883 (2019) - [j41]Qiang Yang, Zhixu Li, An Liu, Guanfeng Liu, Lei Zhao, Xiangliang Zhang, Min Zhang, Xiaofang Zhou:
A novel hybrid publication recommendation system using compound information. World Wide Web 22(6): 2499-2517 (2019) - [c84]Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang:
Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI 2019: 5709-5716 - [c83]Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization over Streams with Inhomogeneous Decays. AAAI 2019: 5861-5868 - [c82]Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang:
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. BIBM 2019: 171-176 - [c81]Guangjie Zhou, Jun Wang, Xiangliang Zhang, Guoxian Yu:
DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network. BIBM 2019: 1836-1841 - [c80]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang:
In2Rec: Influence-based Interpretable Recommendation. CIKM 2019: 1803-1812 - [c79]Dongjun Zhai, An Liu, Shicheng Chen, Zhixu Li, Xiangliang Zhang:
SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing. DASFAA (1) 2019: 260-275 - [c78]Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo:
Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) 2019: 313-329 - [c77]Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley:
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time. ICDE 2019: 1094-1105 - [c76]Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. ICDE 2019: 1106-1117 - [c75]Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang:
Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. ICDM 2019: 1-10 - [c74]Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang:
Dataset Recommendation via Variational Graph Autoencoder. ICDM 2019: 11-20 - [c73]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-Modal Zero-Shot Hashing. ICDM 2019: 449-458 - [c72]Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang:
AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation. ICDM 2019: 988-993 - [c71]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. IJCAI 2019: 2123-2129 - [c70]Shichao Pei, Lu Yu, Xiangliang Zhang:
Improving Cross-lingual Entity Alignment via Optimal Transport. IJCAI 2019: 3231-3237 - [c69]Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. IJCAI 2019: 4121-4127 - [c68]Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao:
Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories. KDD 2019: 914-922 - [c67]Guolei Sun, Xiangliang Zhang:
A Novel Framework for Node/Edge Attributed Graph Embedding. PAKDD (3) 2019: 169-182 - [c66]Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang:
Co-Embedding Attributed Networks. WSDM 2019: 393-401 - [c65]Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang:
Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. WWW 2019: 3130-3136 - [i22]Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. CoRR abs/1904.09212 (2019) - [i21]Yufei Han, Xiangliang Zhang:
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances. CoRR abs/1905.02941 (2019) - [i20]Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. CoRR abs/1905.05053 (2019) - [i19]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. CoRR abs/1905.05659 (2019) - [i18]Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-paired Cross-Modal Hashing. CoRR abs/1905.12203 (2019) - [i17]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing. CoRR abs/1908.07388 (2019) - [i16]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. CoRR abs/1909.12903 (2019) - [i15]Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang:
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. CoRR abs/1910.09706 (2019) - [i14]Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang:
Recurrent Attention Walk for Semi-supervised Classification. CoRR abs/1910.10266 (2019) - [i13]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang:
Active Multi-Label Crowd Consensus. CoRR abs/1911.02789 (2019) - [i12]Zhuo Yang, Yufei Han, Guoxian Yu, Xiangliang Zhang:
Prototypical Networks for Multi-Label Learning. CoRR abs/1911.07203 (2019) - [i11]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings using Deep Matrix Factorization. CoRR abs/1911.11396 (2019) - [i10]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. CoRR abs/1912.11238 (2019) - 2018
- [j40]An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang:
A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation. IEEE Access 6: 393-404 (2018) - [j39]Wei Wang, Zhenzhen Gao, Meichen Zhao, Yidong Li, Jiqiang Liu, Xiangliang Zhang:
DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features. IEEE Access 6: 31798-31807 (2018) - [j38]Wei Wang, Yuanyuan Li, Xing Wang, Jiqiang Liu, Xiangliang Zhang:
Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers. Future Gener. Comput. Syst. 78: 987-994 (2018) - [j37]Detian Zhang, Chi-Yin Chow, An Liu, Xiangliang Zhang, Qingzhu Ding, Qing Li:
Efficient evaluation of shortest travel-time path queries through spatial mashups. GeoInformatica 22(1): 3-28 (2018) - [j36]An Liu, Weiqi Wang, Shuo Shang, Qing Li, Xiangliang Zhang:
Efficient task assignment in spatial crowdsourcing with worker and task privacy protection. GeoInformatica 22(2): 335-362 (2018) - [j35]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 22(1) (2018) - [j34]Faisal Kamiran, Sameen Mansha, Asim Karim, Xiangliang Zhang:
Exploiting reject option in classification for social discrimination control. Inf. Sci. 425: 18-33 (2018) - [j33]Wei Wang, Jiqiang Liu, Georgios Pitsilis, Xiangliang Zhang:
Abstracting massive data for lightweight intrusion detection in computer networks. Inf. Sci. 433-434: 417-430 (2018) - [j32]Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He:
Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks 108: 287-295 (2018) - [j31]Lun Li, Jiqiang Liu, Lichen Cheng, Shuo Qiu, Wei Wang, Xiangliang Zhang, Zonghua Zhang:
CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles. IEEE Trans. Intell. Transp. Syst. 19(7): 2204-2220 (2018) - [j30]Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Jing Tao, Xiaohong Guan:
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. IEEE Trans. Knowl. Data Eng. 30(1): 73-86 (2018) - [j29]Zili Zhang, Li Liu, Li Li, Xiangliang Zhang:
Special issue: Mobile Web Data Analytics (part I). Web Intell. 16(2): 89-90 (2018) - [j28]Zili Zhang, Li Liu, Li Li, Xiangliang Zhang:
Special issue: Mobile web data analytics (part II). Web Intell. 16(3): 147-148 (2018) - [j27]Xing Liu, Jiqiang Liu, Wei Wang, Yongzhong He, Xiangliang Zhang:
Discovering and understanding android sensor usage behaviors with data flow analysis. World Wide Web 21(1): 105-126 (2018) - [c64]Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang:
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. AAAI 2018: 2596-2603 - [c63]Uchenna Akujuobi, Ke Sun, Xiangliang Zhang:
Mining top-k Popular Datasets via a Deep Generative Model. IEEE BigData 2018: 584-593 - [c62]Basmah Altaf, Lu Yu, Xiangliang Zhang:
Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction. IEEE BigData 2018: 937-942 - [c61]Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang:
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams (Extended Abstract). ICDE 2018: 1759-1760 - [c60]Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan:
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). ICDE 2018: 1773-1774 - [c59]Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. IJCAI 2018: 3641-3647 - [c58]Xiangliang Zhang:
Mining Streaming and Temporal Data: from Representation to Knowledge. IJCAI 2018: 5744-5748 - [c57]Yufei Han, Guolei Sun, Yun Shen, Xiangliang Zhang:
Multi-label Learning with Highly Incomplete Data via Collaborative Embedding. KDD 2018: 1494-1503 - [c56]Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas:
Dynamic Embeddings for User Profiling in Twitter. KDD 2018: 1764-1773 - [c55]Yan Chen, Wei Wang, Xiangliang Zhang:
Randomizing SVM Against Adversarial Attacks Under Uncertainty. PAKDD (3) 2018: 556-568 - [c54]Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. WWW 2018: 709-718 - [i9]Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu:
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. CoRR abs/1805.11182 (2018) - [i8]Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. CoRR abs/1810.07917 (2018) - [i7]Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization Over Streams with Inhomogeneous Decays. CoRR abs/1811.05652 (2018) - [i6]Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley:
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time. CoRR abs/1811.09126 (2018) - 2017
- [j26]Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis:
An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst. Appl. 82: 128-150 (2017) - [j25]Xing Wang, Wei Wang, Yongzhong He, Jiqiang Liu, Zhen Han, Xiangliang Zhang:
Characterizing Android apps' behavior for effective detection of malapps at large scale. Future Gener. Comput. Syst. 75: 30-45 (2017) - [j24]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 21(6): 1463-1485 (2017) - [j23]Binbin Gu, Zhixu Li, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang:
Web-ADARE: A web-aided data repairing system. Neurocomputing 253: 201-214 (2017) - [j22]An Liu, Zhixu Li, Guanfeng Liu, Kai Zheng, Min Zhang, Qing Li, Xiangliang Zhang:
Privacy-Preserving Task Assignment in Spatial Crowdsourcing. J. Comput. Sci. Technol. 32(5): 905-918 (2017) - [j21]Pinghui Wang, Yiyan Qi, Yu Sun, Xiangliang Zhang, Jing Tao, Xiaohong Guan:
Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage. Proc. VLDB Endow. 11(2): 162-175 (2017) - [j20]Uchenna Akujuobi, Xiangliang Zhang:
Delve: A Dataset-Driven Scholarly Search and Analysis System. SIGKDD Explor. 19(2): 36-46 (2017) - [j19]Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou:
The Interaction Between Schema Matching and Record Matching in Data Integration. IEEE Trans. Knowl. Data Eng. 29(1): 186-199 (2017) - [j18]Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang:
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams. IEEE Trans. Knowl. Data Eng. 29(3): 642-655 (2017) - [j17]Hai Huang, Zonghai Chen, Chengfei Liu, He Huang, Xiangliang Zhang:
An effective suggestion method for keyword search of databases. World Wide Web 20(4): 729-747 (2017) - [c53]Gianluca Stringhini, Yun Shen, Yufei Han, Xiangliang Zhang:
Marmite: Spreading Malicious File Reputation Through Download Graphs. ACSAC 2017: 91-102 - [c52]Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. IEEE BigData 2017: 857-866 - [c51]Xiao Liu, An Liu, Xiangliang Zhang, Zhixu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou:
When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System. DASFAA (1) 2017: 576-591 - [c50]Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou:
The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). ICDE 2017: 33-34 - [c49]Basmah Altaf, Faisal Kamiran, Xiangliang Zhang:
Modeling Temporal Behavior of Awards Effect on Viewership of Movies. PAKDD (1) 2017: 724-736 - [c48]Uchenna Akujuobi, Xiangliang Zhang:
Delve: A Data Set Retrieval and Document Analysis System. ECML/PKDD (3) 2017: 400-403 - [c47]Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang:
Collaborative User Network Embedding for Social Recommender Systems. SDM 2017: 381-389 - [c46]Denghao Ma, Yueguo Chen, Jun Chen, Xiaoyong Du, Xiangliang Zhang:
ESearch: Incorporating Text Corpus and Structured Knowledge for Open Domain Entity Search. WWW (Companion Volume) 2017: 253-256 - [e2]Athman Bouguettaya, Yunjun Gao, Andrey Klimenko, Lu Chen, Xiangliang Zhang, Fedor Dzerzhinskiy, Weijia Jia, Stanislav V. Klimenko, Qing Li:
Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10569, Springer 2017, ISBN 978-3-319-68782-7 [contents] - [e1]Athman Bouguettaya, Yunjun Gao, Andrey Klimenko, Lu Chen, Xiangliang Zhang, Fedor Dzerzhinskiy, Weijia Jia, Stanislav V. Klimenko, Qing Li:
Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10570, Springer 2017, ISBN 978-3-319-68785-8 [contents] - [i5]Ke Sun, Xiangliang Zhang:
Coarse Grained Exponential Variational Autoencoders. CoRR abs/1702.07904 (2017) - [i4]Guolei Sun, Xiangliang Zhang:
Graph Embedding with Rich Information through Bipartite Heterogeneous Network. CoRR abs/1710.06879 (2017) - 2016
- [j16]Qing Xie, Su Wang, Jia Zhu, Xiangliang Zhang:
Modeling and predicting AD progression by regression analysis of sequential clinical data. Neurocomputing 195: 50-55 (2016) - [j15]Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang:
Large margin classification with indefinite similarities. Mach. Learn. 103(2): 215-237 (2016) - [j14]Qing Xie, Xiangliang Zhang, Zhixu Li, Xiaofang Zhou:
Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption. IEEE Trans. Knowl. Data Eng. 28(5): 1258-1271 (2016) - [c45]Basma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang:
Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces. AAAI 2016: 865-871 - [c44]Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang:
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. CIKM 2016: 2395-2400 - [c43]Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li:
CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method. DASFAA (1) 2016: 51-66 - [c42]Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou:
TRIP: An interactive retrieving-inferring data imputation approach. ICDE 2016: 1462-1463 - [c41]Basma Alharbi, Xiangliang Zhang:
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties. ICDM 2016: 781-786 - [c40]Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang:
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) 2016: 749-760 - [c39]Xinran Liu, Xingwu Liu, Yuanhong Wang, Juhua Pu, Xiangliang Zhang:
Detecting Anomaly in Traffic Flow from Road Similarity Analysis. WAIM (2) 2016: 92-104 - [i3]Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan:
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs. CoRR abs/1604.08691 (2016) - [i2]Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang, Hani Jamjoom, Liana L. Fong:
Analysis and Modeling of Social Influence in High Performance Computing Workloads. CoRR abs/1610.04676 (2016) - 2015
- [j13]Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou:
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach. IEEE Trans. Knowl. Data Eng. 27(9): 2550-2563 (2015) - [c38]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Efficient Active Learning of Halfspaces via Query Synthesis. AAAI 2015: 2483-2489 - [c37]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. IJCAI 2015: 2090-2096 - [c36]Abdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang:
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams. KDD 2015: 935-944 - [c35]Zhixu Li, Xiangliang Zhang, Hai Huang, Qing Xie, Jia Zhu, Xiaofang Zhou:
Addressing Instance Ambiguity in Web Harvesting. WebDB 2015: 6-12 - 2014
- [j12]Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang Zhang:
Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks. Knowl. Based Syst. 70: 103-117 (2014) - [j11]Wei Wang, Xing Wang, Dawei Feng, Jiqiang Liu, Zhen Han, Xiangliang Zhang:
Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection. IEEE Trans. Inf. Forensics Secur. 9(11): 1869-1882 (2014) - [j10]Xiangliang Zhang, Cyril Furtlehner, Cécile Germain-Renaud, Michèle Sebag:
Data Stream Clustering With Affinity Propagation. IEEE Trans. Knowl. Data Eng. 26(7): 1644-1656 (2014) - [j9]Qing Xie, Chaoyi Pang, Xiaofang Zhou, Xiangliang Zhang, Ke Deng:
Maximum error-bounded Piecewise Linear Representation for online stream approximation. VLDB J. 23(6): 915-937 (2014) - [c34]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Support vector machines with indefinite kernels. ACML 2014 - [c33]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. CIKM 2014: 231-240 - [c32]Zhixu Li, Shuo Shang, Qing Xie, Xiangliang Zhang:
Cost Reduction for Web-Based Data Imputation. DASFAA (2) 2014: 438-452 - [c31]Abdulhakim Ali Qahtan, Suojin Wang, Raymond J. Carroll, Xiangliang Zhang:
A New Study of Two Divergence Metrics for Change Detection in Data Streams. ECAI 2014: 1081-1082 - [c30]Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou:
Overcoming Semantic Drift in Information Extraction. EDBT 2014: 169-180 - [c29]Dan Williams, Shuai Zheng, Xiangliang Zhang, Hani Jamjoom:
TideWatch: Fingerprinting the cyclicality of big data workloads. INFOCOM 2014: 2031-2039 - [c28]Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang:
Anti-discrimination Analysis Using Privacy Attack Strategies. ECML/PKDD (2) 2014: 694-710 - [c27]Basma Alharbi, Xiangliang Zhang:
Exploring the significance of human mobility patterns in social link prediction. SAC 2014: 604-609 - 2013
- [j8]Xiangliang Zhang, Tak Man Desmond Lee, Georgios Pitsilis:
Securing Recommender Systems Against Shilling Attacks Using Social-Based Clustering. J. Comput. Sci. Technol. 28(4): 616-624 (2013) - [j7]Xiaoyu Chen, Dongming Wang, Xiangliang Zhang:
Foreword to the Special Focus on Mathematics, Data and Knowledge. Math. Comput. Sci. 7(4): 379-386 (2013) - [c26]Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang:
Local correlation detection with linearity enhancement in streaming data. CIKM 2013: 309-318 - [c25]Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang:
Controlling Attribute Effect in Linear Regression. ICDM 2013: 71-80 - [c24]Chun Pong Lau, Xiangliang Zhang, Basem Shihada:
Video Quality Prediction over Wireless 4G. PAKDD (2) 2013: 414-425 - 2012
- [j6]Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng:
Understanding and analyzing network traffic. IEEE Netw. 26(1): 4-5 (2012) - [c23]Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang:
A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. AAAI 2012: 143-149 - [c22]Abdulhakim Ali Qahtan, Xiangliang Zhang, Suojin Wang:
Efficient estimation of dynamic density functions with an application to outlier detection. CIKM 2012: 2159-2163 - [c21]Faisal Kamiran, Asim Karim, Xiangliang Zhang:
Decision Theory for Discrimination-Aware Classification. ICDM 2012: 924-929 - [c20]Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes:
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. ICDM 2012: 1068-1073 - [c19]Han Liu, Xiangliang Zhang, Alyn Rockwood:
A direction Change-based algorithm for polygonal approximation. ICPR 2012: 3586-3589 - [c18]Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang:
Discovering Highly Informative Feature Set over High Dimensions. ICTAI 2012: 1059-1064 - [c17]Xiangliang Zhang, Zon-Yin Shae, Shuai Zheng, Hani Jamjoom:
Virtual machine migration in an over-committed cloud. NOMS 2012: 196-203 - [c16]Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang:
Modeling and Clustering Users with Evolving Profiles in Usage Streams. TIME 2012: 133-140 - 2011
- [j5]Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng:
Network traffic monitoring, analysis and anomaly detection [Guest Editorial]. IEEE Netw. 25(3): 6-7 (2011) - [c15]Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang, Hani Jamjoom, Liana Fong:
Analysis and Modeling of Social Influence in High Performance Computing Workloads. Euro-Par (1) 2011: 193-204 - [c14]Georgios Pitsilis, Xiangliang Zhang, Wei Wang:
Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information. IFIPTM 2011: 82-97 - [c13]Wei Wang, Xiangliang Zhang:
High-speed web attack detection through extracting exemplars from HTTP traffic. SAC 2011: 1538-1543 - 2010
- [c12]Xiangliang Zhang, Wei Wang:
Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution. ADMA (1) 2010: 334-345 - [c11]Xiangliang Zhang, Cécile Germain, Michèle Sebag:
Adaptively detecting changes in Autonomic Grid Computing. GRID 2010: 387-392 - [c10]Xiangliang Zhang, Wei Wang, Kjetil Nørvåg, Michèle Sebag:
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation. ICDM 2010: 1187-1192 - [c9]Wei Wang, Xiangliang Zhang, Georgios Pitsilis:
Abstracting Audit Data for Lightweight Intrusion Detection. ICISS 2010: 201-215
2000 – 2009
- 2009
- [j4]Xiaohong Guan, Wei Wang, Xiangliang Zhang:
Fast intrusion detection based on a non-negative matrix factorization model. J. Netw. Comput. Appl. 32(1): 31-44 (2009) - [j3]Wei Wang, Xiangliang Zhang, Sylvain Gombault:
Constructing attribute weights from computer audit data for effective intrusion detection. J. Syst. Softw. 82(12): 1974-1981 (2009) - [c8]Xiangliang Zhang, Michèle Sebag, Cécile Germain-Renaud:
Multi-scale Real-Time Grid Monitoring with Job Stream Mining. CCGRID 2009: 420-427 - [c7]Wei Wang, Xiangliang Zhang, Sylvain Gombault, Svein J. Knapskog:
Attribute Normalization in Network Intrusion Detection. ISPAN 2009: 448-453 - [c6]Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag:
Toward autonomic grids: analyzing the job flow with affinity streaming. KDD 2009: 987-996 - [i1]Cyril Furtlehner, Michèle Sebag, Xiangliang Zhang:
Scaling Analysis of Affinity Propagation. CoRR abs/0910.1800 (2009) - 2008
- [j2]Wei Wang, Xiaohong Guan, Xiangliang Zhang:
Processing of massive audit data streams for real-time anomaly intrusion detection. Comput. Commun. 31(1): 58-72 (2008) - [c5]Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag:
Data Streaming with Affinity Propagation. ECML/PKDD (2) 2008: 628-643 - [c4]Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag:
Distributed and Incremental Clustering Based on Weighted Affinity Propagation. STAIRS 2008: 199-210 - 2007
- [c3]Xiangliang Zhang, Michèle Sebag, Cécile Germain:
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. ICDM Workshops 2007: 581-588 - 2006
- [j1]Wei Wang, Xiaohong Guan, Xiangliang Zhang, Liwei Yang:
Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data. Comput. Secur. 25(7): 539-550 (2006) - 2004
- [c2]Wei Wang, Xiaohong Guan, Xiangliang Zhang:
Profiling program and user behaviors for anomaly intrusion detection based on non-negative matrix factorization. CDC 2004: 99-104 - [c1]Wei Wang, Xiaohong Guan, Xiangliang Zhang:
A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security. ISNN (2) 2004: 657-662
Coauthor Index
[j111] [j108] [j107] [j106] [j104] [j95] [j84] [j83] [j81] [j76] [j75] [c119] [j72] [j71] [j70] [j69] [j68] [j67] [j65] [j64] [j63] [j61] [j60] [c105] [i39] [i38] [i37] [i36] [j59] [j58] [j55] [j53] [c101] [c97] [c96] [c94] [c93] [c92] [c90] [c87] [i27] [i26] [c82] [c81] [c78] [c73] [c71] [c69] [i20] [i19] [i18] [i17] [i13] [i12] [i11] [i10]
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