Group highlights
At the end of this page, you can find the full list of publications and patents. All papers are also available on arXiv.
we present MolPuzzle, a benchmark comprising 234 instances of structure elucidation, which features over 18,000 QA samples presented in a sequential puzzle-solving process, involving three interlinked subtasks: molecule understanding, spectrum interpretation, and molecule construction.
Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
NeurIPS 2024 Datasets and Benchmarks Track as a spotlight
The study refines principles for honest LLMs and identifies six scenarios requiring honesty. It introduces HONESET, a dataset of 930 queries, to evaluate LLM honesty. Two approaches are proposed to improve honesty and helpfulness: (1) Curiosity-Driven Prompting, a training-free method that encourages LLMs to express uncertainty and optimize responses; and (2) a two-stage fine-tuning approach, inspired by curriculum learning, to enhance LLM performance in these aspects.
Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang (Equal Contribution)
We introduce a method to enhance the multilingual performance of LLMs by aggregating knowledge from diverse languages. This approach incorporates a low-resource knowledge detector specific to a language, a language selection process, and mechanisms for answer replacement and integration.
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
Drawing inspiration from adversarial training in deep learning and LLM agent learning processes, we introduce the In-Context Adversarial Game (ICAG) for defending against jailbreaks without the need for fine-tuning. ICAG leverages agent learning to conduct an adversarial game, aiming to dynamically extend knowledge to defend against jailbreaks.
Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
We study an adversarial prompt attacking problem for T2I-Refine, where to goal is to implicitly inject specific concept bias to the input prompts during the refinement process so that the generated images, still with higher quality, are explicitly biased to the target group.
Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang
we introduce the Source-aware Semantic Representation Network (SaSR-Net), a novel model designed for AVQA. SaSR-Net utilizes source-wise learnable tokens to efficiently capture and align audio-visual elements with the corresponding question.
Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang
We develop FaDE, a face segment driven identity anonymization framework that augments biased face image datasets by identifying specific face segments with diversified demographic characteristics from external face images but with least identity disclosure, and then reconstructing the segments to full face images with new identities.
Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang
we address the challenge of automated multi-character ZSV, aiming to create distinctive yet compatible character portraits for high-quality story visualization without the need of manual human interventions.
Ziyi Kou, Shichao Pei, Xiangliang Zhang
Our work aims to evaluate and enhance the robustness of classification over categorical attributes against adversarial perturbations through efficient attack-free approaches. We propose a robustness evaluation metric named Integrated Gradient-Smoothed Gradient (IGSG).
Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang
This paper introduces TrustLLM, a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets.
Yue Huang, Lichao Sun, 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 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, Willian Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
We present this survey to offer an in-depth discussion on the essential aspects of multi-agent systems based on LLMs, as well as the challenges. Our goal is for readers to gain substantial insights on the following questions: What domains and environments do LLM-based multi-agents simulate? How are these agents profiled and how do they communicate? What mechanisms contribute to the growth of agents’ capacities?
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang
The paper introduces SceMQA, a novel benchmark for scientific multimodal question answering at the college entrance level. It addresses a critical educational phase often overlooked in existing benchmarks, spanning high school to pre-college levels.
Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
Full List of Publications (See Google Scholar)
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
NeurIPS 2024 Datasets and Benchmarks Track as a spotlight
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model
Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang (Equal Contribution)
NeurIPS 2024
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators
Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai
NeurIPS 2024
1+1 >2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
EMNLP 2024 Main
Defending Jailbreak Prompts via In-Context Adversarial Game
Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
EMNLP 2024 Main
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang
EMNLP 2024 Main
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering
Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang
EMNLP 2024 Findings
Zero-Shot Relational Learning for Multimodal Knowledge Graphs
Rui Cai, Shichao Pei, Xiangliang Zhang
IEEE Big Data 2024 (Regular paper)
Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels–Alder Reaction Outcomes
Angus Keto, Taicheng Guo, Morgan Underdue, Thijs Stuyver, Connor W. Coley, Xiangliang Zhang, Elizabeth H. Krenske, Olaf Wiest
Journal of the American Chemical Society Vol 146, Issue 23
Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning
Xiaobao Huang, Mihir Surve, Yuhan Liu, Tengfei Luo, Olaf Wiest, Xiangliang Zhang, Nitesh Chawla
CIKM 2024 Short Research Papers Track
Lurking in the Shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Yongsheng Zhu, Guangquan Xu, Jiqiang Liu, Xiangliang Zhang
USENIX Security 2024
FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition
Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang
CIKM 2024 Full Research Paper
Cross-Context Backdoor Attacks against Graph Prompt Learning
Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang
KDD 2024
LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions
Ziyi Kou, Shichao Pei, Xiangliang Zhang
KDD 2024
Attack-Free Evaluating and Enhancing Adversarial Robustness on Categorical Data
Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang
ICML 2024
TrustLLM: Trustworthiness in Large Language Models
Yue Huang, Lichao Sun, 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 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, Willian Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
ICML 2024, HuggingFace Daily Paper No.1, Highlighted by United States Department of Homeland Security (DHS), Invited Talk at IBM Research
Large Language Model Based Multi-Agents: A Survey of Progress and Challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang
IJCAI 2024 (Survey Track)
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
ACL 2024
Flexible and Adaptable Summarization via Expertise Separation
Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang
SIGIR 2024
Are We Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective
Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
TheWebConf 2024 (Short paper)
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang
AAAI 2024
A Property-Guided Diffusion Model for Generating Molecular Graphs
Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh Chawla, Xiangliang Zhang
IEEE ICASSP 2024
Think as People: Context-Driven Multi-Image News Captioning with Adaptive Dual Attention
Qiang Yang, Xiaodong Wu, Xiuying Chen, Xin Gao, Xiangliang Zhang
IEEE ICASSP 2024
Causality-Based Fair Multiple Decision by Response Functions
Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Gradient-Based Local Causal Structure Learning
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
IEEE Transactions on Cybernetics, 2024
Personalized Federated Few-Shot Learning
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
IEEE Transactions on Neural Networks and Learning Systems, 2024
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization
Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
Forgetting User Preference in Recommendation Systems with Label-Flipping
Manal Alshehri, Xiangliang Zhang
IEEE International Conference on Big Data 2023 (Regular Paper)
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
EMNLP 2023
UniMath: A Foundational and Multimodal Mathematical Reasoner
Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang
EMNLP 2023
What can large language models do in chemistry? A comprehensive benchmark on eight tasks
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
NeurIPS 2023 Datasets and Benchmarks track
Modeling Sequential Collaborative User Behaviors for Seller-aware Next Basket Recommendation
Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang
CIKM 2023
Neural Multi-hop Logical Query Answering with Concept-level Answers
Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
ISWC 2023
Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation
Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang
KDD 2023
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation
Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
KDD 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
ACL 2023
Compositional Mathematical Encoding for Math Word Problems
Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang
Findings of ACL 2023
Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation
Shichao Pei, Qiannan Zhang, Xiangliang Zhang
Findings of ACL 2023
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang
IJCAI 2023 Main Track
Graph-based Molecular Representation Learning
Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh Chawla
IJCAI 2023 (Survey Track)
A Topic-aware Summarization Framework with Different Modal Side Information
Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang
SIGIR 2023 (Full paper)
LogicRec: Recommendation with Users’ Logical Requirements
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
SIGIR 2023 (Short paper)
Few-shot News Recommendation via Cross-lingual Transfer
Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang
The Web Conference 2023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla
ICLR 2023 (Notable Top 25%)
Cross-domain Few-shot Graph Classification with a Reinforced Task Coordinator
Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh Chawla, Xiangliang Zhang
AAAI 2023
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs
Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang
AAAI 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang
AAAI 2023
Generalizing Math Word Problem Solvers via Solution Diversification
Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
AAAI 2023
Learning towards Selective Data Augmentation for Dialogue Generation
Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan
AAAI 2023
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs
Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
WSDM 2023
Telecommunication Traffic Forecasting via Multi-task Learning
Xiaochuan Gou, Xiangliang Zhang
WSDM 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang
IEEE Big Data 2022 (Regular Paper)
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting
Xiaochuan Gou, Peng Han, Xiangliang Zhang
IEEE Big Data 2022 (Short Paper)
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association
Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
EMNLP 2022 Main
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
EMNLP 2022 Main
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
Youssef Sherif Mansour Mohamed, Shyma Yaser Alhuwaider, Mohamed Abdelfattah, Feifan Li, Kenneth Ward Church, Xiangliang Zhang, Mohamed Elhoseiny
EMNLP 2022 Main
Towards Improving Faithfulness in Abstractive Summarization
Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang
NeurIPS 2022
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model
Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang
CIKM 2022
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation
Manal Abdulaziz Alshehri, Xiangliang Zhang
CIKM 2022
A Biased Sampling Method for Imbalanced Personalized Ranking
Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
CIKM 2022
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation
Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
CIKM 2022
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer
Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
KDD 2022 Research Track
Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme
Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang
KDD 2022 Applied Data Science Track
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
IJCAI 2022
Few-Shot Learning on Graphs: A Survey
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh Chawla, Huan Liu
IJCAI 2022 (Survey Track)
Target-aware Abstractive Related Work Generation with Contrastive Learning
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
SIGIR 2022
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Findings of NAACL 2022
ArMATH: a Dataset for Solving Arabic Math Word Problems
Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang
LREC 2022
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang
ICLR 2022
Graph Alignment with Noisy Supervision
Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
TheWebConf 2022
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order
Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan
ACM Transactions on Information Systems (TOIS), February 2022
HG-Meta: Graph Meta-learning over Heterogeneous Graphs
Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
SDM 2022
HGATE: Heterogeneous Graph Attention Auto-Encoders
Wei Wang, Xiangyu Wei, Xiaoyang Suo, Bin Wang, Hao Wang, Hong-Ning Dai, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
SAIL: Self-Augmented Graph Contrastive Learning
Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
AAAI 2022
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
AAAI 2022
Interpretable Relation Learning on Heterogeneous Graphs
Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang
WSDM 2022
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Low resistance asymmetric III-nitride tunnel junctions designed by machine learning
Rongyu Lin, Peng Han, Yue Wang, Ronghui Lin, Yi Lu, Zhiyuan Liu, Xiangliang Zhang, Xiaohang Li
Nanomaterials, 2021, 11(10), 2466
Data-Efficient Language Shaped Few-shot Image Classification
Zhenwen Liang, Xiangliang Zhang
Findings of EMNLP 2021
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation
Changsheng Ma, Xiangliang Zhang
CIKM 2021 (Full Paper)
Set-aware Entity Synonym Discovery with Flexible Receptive Fields
Shichao Pei, Lu Yu, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Attack Transferability Characterization for Adversarially Robust Multi-label Classification
Zhuo Yang, Yufei Han, Xiangliang Zhang
ECML/PKDD 2021
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks
Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang
KDD 2021
Socially-Aware Self-Supervised Tri-Training for Recommendation
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Quoc Viet Hung Nguyen
KDD 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik
ICML 2021 (Long Presentation)
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan
ACL-IJCNLP 2021 Main Conference
Solving Math Word Problems with Teacher Supervision
Zhenwen Liang, Xiangliang Zhang
IJCAI 2021
Rise and Fall of the Global Conversation and Shifting Sentiments During the COVID-19 Pandemic
Xiangliang Zhang, Qiang Yang, Somayah Albaradei, Xiaoting Lyu, Hind Alamro, Adil Salhi, Changsheng Ma, Manal Alshehri, Inji Ibrahim Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao
Humanities and Social Sciences Communications, 2021
The soundscape of the Anthropocene ocean
Carlos M. Duarte, Lucille Chapuis, Shaun P. Collin, Daniel P. Costa, Reny P. Devassy, Victor M. Eguíluz, Christine Erbe, Timothy A.C. Gordon, Benjamin S. Halpern, Harry R. Harding, Michelle N. Havlik, Mark Meekan, Nathan D. Merchant, Jennifer L. Miksis-Olds, Miles Parsons, Milica Predragovic, Andrew N. Radford, Craig A. Radford, Stephen D. Simpson, Hans Slabbekoorn, Erica Staaterman, Ilse C. Van Opzeeland, Jana Winderen, Xiangliang Zhang, Francis Juanes
Science, Vol 371, Issue 6529, 05 February 2021
Characterizing the Evasion Attackability of Multi-label Classifiers
Zhuo Yang, Yufei Han, Xiangliang Zhang
AAAI 2021
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Lin Xiao, Xiangliang Zhang, Chi Huang, Mingyang Song, Liping Jing
AAAI 2021
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
AAAI 2021
Deep Multi-type Objects Multi-view Multi-instance Multi-label Learning
Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
SDM 2021
Graph Embedding for Recommendation against Attribute Inference Attacks
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
The Web Conference 2021 (WWW 2021)
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
The Web Conference 2021 (WWW 2021)
Deterministic and probabilistic deep learning models for inverse design of broadband acoustic cloak
Waqas W. Ahmed, Mohamed Farhat, Xiangliang Zhang, Ying Wu
Physical Review Research, Vol. 3, Issue 1, 013142, 2021
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks
Muhammad Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng
IEEE ICDE 2021 (Short Paper)
PINE: Universal deep embedding for graph nodes via partial permutation invariant set functions
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks
Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021
Approximately Counting Butterflies in Large Bipartite Graph Streams
Rundong Li, Pinghui Wang, Peng Jia, Xiangliang Zhang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Multiview Multi-Instance Multilabel Active Learning
Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Point-of-Interest Recommendation with Global and Local Context
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Flexible Cross-Modal Hashing
Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation
An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
CRSAL: Conversational Recommender Systems with Adversarial Learning
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang
ACM Transactions on Information Systems (TOIS), 2021
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang
NeurIPS 2020
T-PAIR: Temporal Node-pair Embedding for Automatic Biomedical Hypothesis Generation
Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Partial Multi-Label Learning using Label Compression
Yingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IEEE ICDM 2020 (Regular Paper)
Deep Incomplete Multi-View Multiple Clusterings
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IEEE ICDM 2020 (Regular Paper)
Mate-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition
Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He
IEEE ICDM 2020 (Short Paper)
Multi-type Objects Multi-view Multi-instance Multi-label Learning
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IEEE ICDM 2020 (Short Paper)
Decentralized Embedding Framework for Large-Scale Networks
Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
DASFAA 2020 (Best Student Paper Award)
Multi-modal Network Representation Learning
Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
KDD 2020 Tutorial
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs
Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
KDD 2020
Attackability Characterization of Adversarial Evasion Attack on Discrete Data
Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
KDD 2020
Weakly-Supervised Multi-view Multi-instance Multi-label Learning
Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IJCAI 2020
Jointly Learning Representations of Nodes and Attributes for Attributed Networks
Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis
ACM Transactions on Information Systems (TOIS), 2020
Accurately Estimating User Cardinalities and Detecting Super Spreaders over Time
Peng Jia, Pinghui Wang, Yuchao Zhang, Xiangliang Zhang, Jing Tao, Jianwei Ding, Xiaohong Guan, Don Towsley
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data
Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Al-Naffouri
IEEE Transactions on Signal Processing, 2020
Robust Federated Learning via Collaborative Machine Teaching
Yufei Han, Xiangliang Zhang
AAAI 2020
Multi-View Multiple Clusterings using Deep Matrix Factorization
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
AAAI 2020
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang
WSDM 2020
Attention-Aware Answers of the Crowd
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
SDM 2020
GraPASA: Parametric Graph Embedding via Siamese Architecture
Yujun Chen, Ke Sun, Juhua Pu, Zhang Xiong, Xiangliang Zhang
Information Sciences, 512: 1442-1457 (2020)
Gaussian Mixture Embedding of Multiple Node Roles in Networks
Yujun Chen, Juhua Pu, Xingwu Liu, Xiangliang Zhang
World Wide Web Journal, 23(2): 927-950 (2020)
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang
IEEE ICDM 2019 (Regular Paper)
Dataset Recommendation via Variational Graph Autoencoder
Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang
IEEE ICDM 2019 (Regular Paper)
Cross-modal Zero-shot Hashing
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
IEEE ICDM 2019 (Regular Paper)
AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation
Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang
IEEE ICDM 2019 (Short Paper)
In2Rec: Influence-based Interpretable Recommendation
Huafeng Liu, Liping Jing, Jingxuan Wen, Jian Yu, Xiangliang Zhang
CIKM 2019
Improving Cross-lingual Entity Alignment via Optimal Transport
Shichao Pei, Lu Yu, Xiangliang Zhang
IJCAI 2019
ActiveHNE: Active Heterogeneous Network Embedding
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
IJCAI 2019
Multi-View Multiple Clustering
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IJCAI 2019
Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories
Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao
KDD 2019
Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference
Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang
The Web Conference 2019
Individuality and Commonality based Multi-View Multi-Label Learning
Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
IEEE Transactions on Cybernetics, 2019
A Novel Framework for Node/Edge Attributed Graph Embedding
Guolei Sun, Xiangliang Zhang
PAKDD 2019
Selective Matrix Factorization for Multi-Relational Data Fusion
Yuehui Wang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
DASFAA 2019
SeqST-Resnet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing
Dongjun Zhai, An Liu, Shicheng Chen, Zhixu Li, Xiangliang Zhang
DASFAA 2019
Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem
Xing Liu, Jiqiang Liu, Sencun Zhu, Wei Wang, Xiangliang Zhang
IEEE Transactions on Mobile Computing, 2019
Multi-order Attentive Ranking Model for Sequential Recommendation
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
AAAI 2019
Submodular Optimization Over Streams with Inhomogeneous Decays
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang
AAAI 2019
Co-Embedding Attributed Networks
Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
WSDM 2019
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang
IEEE ICDE 2019
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time
Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley
IEEE ICDE 2019
Mining top-k Popular Datasets via a Deep Generative Model
Uchenna Akujuobi, Ke Sun, Xiangliang Zhang
IEEE Big Data 2018
Spatio-Temporal Attention Based Recurrent Neural Network for Next POI Prediction
Basmah Altaf, Lu Yu, Xiangliang Zhang
IEEE Big Data 2018
SNOD: A Fast Sampling Method of Exploring Node Orbit Degrees for Large Graphs
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, Xiaohong Guan
Knowledge and Information Systems (KAIS), 61(1): 301-326, 2019
Dynamic Embeddings for User Profiling in Twitter
Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas
KDD 2018
Multi-label Learning with Highly Incomplete Data via Collaborative Embedding
Yufei Han, Yun Shen, Guolei Sun, Xiangliang Zhang
KDD 2018
Mining Streaming and Temporal Data: From Representation to Knowledge
Xiangliang Zhang
IJCAI-ECAI 2018 (Early Career Spotlight)
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
IJCAI-ECAI 2018
WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation
Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang
AAAI 2018
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
WWW 2018
Transfer Collaborative Filtering from Multiple Sources via Consensus Regularization
Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He
Neural Networks, Volume 108, December 2018, Pages 287-295
Protecting Multi-party Privacy in Location-Aware Social Point-of-Interest Recommendation
Weiqi Wang, An Liu, Zhixu Li, Xiangliang Zhang, Qing Li, Xiaofang Zhou
World Wide Web Journal, April 2018
DroidEnsemble: Detecting Android Malicious Applications with Ensemble of String and Structural Static Features
Wei Wang, Zhenzhen Gao, Meichen Zhao, Yidong Li, Jiqiang Liu, Xiangliang Zhang
IEEE Access, Vol. 6, 2018
Use of Unmanned Aerial Vehicles for Efficient Beach Litter Monitoring
Cecilia Martin, Stephen Parkes, Qiannan Zhang, Xiangliang Zhang, Matthew McCabe, Carlos M. Duarte
Marine Pollution Bulletin, Vol. 131, Part A, 2018
Randomizing SVM against Adversarial Attacks Under Uncertainty
Yan Chen, Wei Wang, Xiangliang Zhang
PAKDD 2018
A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation
An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang
IEEE Access, Vol. 6, 2018
CreditCoin: A Privacy-Preserving Blockchain-based Incentive Announcement Network for Communications of Smart Vehicles
Lun Li, Jiqiang Liu, Lichen Cheng, Shuo Qiu, Wei Wang, Xiangliang Zhang, Zonghua Zhang
IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 7, 2018
Detecting Android Malicious Apps and Categorizing Benign Apps with Ensemble of Classifiers
Wei Wang, Yuanyuan Li, Xing Wang, Jiqiang Liu, Xiangliang Zhang
Future Generation Computer Systems, Volume 78, 2018
Efficient Task Assignment in Spatial Crowdsourcing with Worker and Task Privacy Protection
An Liu, Weiqi Wang, Shuo Shang, Qing Li, Xiangliang Zhang
GeoInformatica, Volume 22, Issue 2, 2018
Efficient Evaluation of Shortest Travel-Time Path Queries through Spatial Mashups
Detian Zhang, Chi-Yin Chow, An Liu, Xiangliang Zhang, Qingzhu Ding, Qing Li
GeoInformatica, Volume 22, Issue 1, 2018
Discovering and Understanding Android Sensor Usage Behaviors with Data Flow Analysis
Xing Liu, Jiqiang Liu, Wei Wang, Yongzhong He, Xiangliang Zhang
World Wide Web Journal, Volume 21, Issue 1, 2018
Exploiting Reject Option in Classification for Social Discrimination Control
Faisal Kamiran, Sameen Mansha, Asim Karim, Xiangliang Zhang
Information Sciences, Volume 425, 2018
Abstracting Massive Data for Lightweight Intrusion Detection in Computer Networks
Wei Wang, Jiqiang Liu, Georgios Pitsilis, Xiangliang Zhang
Information Sciences, Volumes 433-434, 2018
Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage
Pinghui Wang, Yiyan Qi, Yu Sun, Xiangliang Zhang, Jing Tao, Xiaohong Guan
VLDB 2017, Volume 11, Issue 2
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C.S. Lui, Don Towsley, Jing Tao, Xiaohong Guan
IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(1): 73-86, 2017
ImWalkMF: Joint Matrix Factorization and Implicit Walk Integrative Learning for Recommendation
Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
IEEE Big Data 2017
MARMITE: Spreading Malicious File Reputation Through Download Graphs
Gianluca Stringhini, Yun Shen, Yufei Han, Xiangliang Zhang
ACSAC 2017
Delve: A Dataset-Driven Scholarly Search and Analysis System
Uchenna Akujuobi, Xiangliang Zhang
SIGKDD Explorations, Vol. 19, Issue 2, 2017
An Up-to-date Comparison of State-of-the-art Classification Algorithms
Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis
Expert Systems with Applications, 82: 128-150, 2017
Web-ADARE: A Web-aided Data Repairing System
Binbin Gu, Zhixu Li, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang
Neurocomputing, Volume 253, 2017
Characterizing Android Apps’ Behavior for Effective Detection of Malapps at Large Scale
Xing Wang, Wei Wang, Yongzhong He, Jiqiang Liu, Zhen Han, Xiangliang Zhang
Future Generation Computer Systems, Volume 75, 2017
Modeling Temporal Behavior of Awards Effect on Viewership of Movies
Basmah Altaf, Faisal Kamiran, Xiangliang Zhang
PAKDD 2017
Privacy-preserving Task Assignment in Spatial Crowdsourcing
An Liu, Zhixu Li, Guanfeng Liu, Kai Zheng, Min Zhang, Qing Li, Xiangliang Zhang
Journal of Computer Science and Technology, Volume 32, Issue 5, 2017
Collaborative User Network Embedding for Social Recommender Systems
Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang
SDM 2017
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams
Abdulhakim A. Qahtan, Suojin Wang, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29, No. 3, 2017
When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System
Xiao Liu, An Liu, Xiangliang Zhang, Zhixu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou
DASFAA 2017
An Effective Suggestion Method for Keyword Search of Databases
Hai Huang, Zonghai Chen, Chengfei Liu, He Huang, Xiangliang Zhang
World Wide Web Journal, Volume 20, Issue 4, 2017
The Interaction between Schema Matching and Record Matching in Data Integration
Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29, No. 1, 2017
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties
Basma Alharbi, Xiangliang Zhang
IEEE ICDM 2016
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph
Ibrahim Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang
CIKM 2016
Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors
Mustafa Mousa, Xiangliang Zhang, Christian Claudel
IEEE Sensors Journal, Vol. 16, No. 19, 2016
Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces
Basma Alharbi, Abdulhakim A. Qahtan, Xiangliang Zhang
AAAI 2016
Large Margin Classification with Indefinite Similarities
Ibrahim M. Alabdulmohsin, Moustapha Cisse, Xin Gao, Xiangliang Zhang
Machine Learning Journal, 103(2): 215-237, 2016
Modeling and Predicting AD Progression by Regression Analysis of Sequential Clinical Data
Qing Xie, Su Wang, Jia Zhu, Xiangliang Zhang
Neurocomputing, Volume 195, 2016
Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaptation
Qing Xie, Xiangliang Zhang, Zhixu Li, Xiaofang Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(5): 1258-1271, 2016
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Ibrahim M. Alabdulmohsin, Moustapha Cisse, Xiangliang Zhang
ECML PKDD 2016
CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method
Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li
DASFAA 2016
Detecting Anomaly in Traffic Flow from Road Similarity Analysis
Xinran Liu, Xingwu Liu, Yuanhong Wang, Juhua Pu, Xiangliang Zhang
WAIM 2016
A PCA-Based Change Detection Framework for Multidimensional Data Streams
Abdulhakim A. Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang
KDD 2015
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach
Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(9): 2550-2563, 2015
A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David Keyes
IJCAI 2015
Efficient Active Learning of Halfspaces via Query Synthesis
Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
AAAI 2015
Addressing Instance Ambiguity in Web Harvesting
Zhixu Li, Xiangliang Zhang, Hai Huang, Qing Xie, Jia Zhu, Xiaofang Zhou
WebDB 2015
Support Vector Machines with Indefinite Kernels
Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
ACML 2014
Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection
Wei Wang, Xing Wang, Dawei Feng, Jiqiang Liu, Zhan Han, Xiangliang Zhang
IEEE Transactions on Information Forensics and Security (TIFS), 9(11): 1869-1882, 2014
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering
Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
CIKM 2014
Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer Networks
Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang Zhang
Knowledge-Based Systems, Volume 70, November 2014, Pages 103-117
Anti-discrimination Analysis Using Privacy Attack Strategies
Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang
ECML PKDD 2014
Maximum Error-Bounded Piecewise Linear Representation for Online Stream Approximation
Qing Xie, Chaoyi Pang, Xiaofang Zhou, Xiangliang Zhang, Ke Deng
The VLDB Journal, Volume 23, Issue 6, December 2014
Data Stream Clustering with Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Cécile Germain, Michèle Sebag
IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(7): 1644-1656, 2014
TideWatch: Fingerprinting the Cyclicality of Big Data Workloads
Dan Williams, Shuai Zheng, Xiangliang Zhang, Hani Jamjoom
IEEE INFOCOM 2014
Cost Reduction for Web-based Data Imputation
Zhixu Li, Shuo Shang, Qing Xie, Xiangliang Zhang
DASFAA 2014
Overcoming Semantic Drift in Information Extraction
Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou
EDBT 2014
Exploring the Significance of Human Mobility Patterns in Social Link Prediction
Basma Alharbi, Xiangliang Zhang
ACM SAC 2014
Foreword to the Special Focus on Mathematics, Data and Knowledge
Xiaoyu Chen, Dongming Wang, Xiangliang Zhang
Mathematics in Computer Science, Volume 7, Issue 4, 2013
Controlling Attribute Effect in Linear Regression
Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang
IEEE ICDM 2013
Automated Mining of Disease-Specific Protein Interaction Networks Based on Biomedical Literature
Rajesh Chowdhary, Boris R. Jankovic, Rachel V. Stankowski, John A.C. Archer, Xiangliang Zhang, Xin Gao, Vladimir B. Bajic
Book Chapter in “Biological Data Mining and Its Applications in Healthcare”, World Scientific, 2013
Local Correlation Detection with Linearity Enhancement in Streaming Data
Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang
CIKM 2013
Securing Recommender Systems against Shilling Attacks Using Social-based Clustering
Xiangliang Zhang, Tak Man Desmond Lee, Georgios Pitsilis
Journal of Computer Science and Technology, Volume 28, Issue 4, July 2013
Video Quality Prediction over Wireless 4G
Chun Pong Lau, Xiangliang Zhang, Basem Shihada
PAKDD 2013
Decision Theory for Discrimination-aware Classification
Faisal Kamiran, Asim Karim, Xiangliang Zhang
IEEE ICDM 2012
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization
Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David Keyes
IEEE ICDM 2012
Efficient Estimation of Dynamic Density Functions with an Application to Outlier Detection
Abdulhakim Qahtan, Xiangliang Zhang, Suojin Wang
CIKM 2012
A Direction Change-Based Algorithm for Polygonal Approximation
Han Liu, Xiangliang Zhang, Alyn Rockwood
ICPR 2012
Discovering Highly Informative Feature Set over High Dimensions
Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
ICTAI 2012
Modeling and Clustering Users with Evolving Profiles in Usage Streams
Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
TIME 2012
A Mouse-Trajectory Based Model for Predicting Query-URL Relevance
Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang
AAAI 2012
Virtual Machine Migration in an Over-committed Cloud
Xiangliang Zhang, Zon-Yin Shae, Shuai Zheng, Hani Jamjoom
IEEE NOMS 2012
Understanding and Analyzing Network Traffic
Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng
IEEE Network, January 2012
Analysis and Modeling of Social Influence in High Performance Computing Workloads
Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang, Hani Jamjoom, Liana Fong
Euro-Par 2011
Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information
Georgios Pitsilis, Xiangliang Zhang, Wei Wang
IFIPTM 2011
Network Traffic Monitoring, Analysis and Anomaly Detection
Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng
IEEE Network, May 2011
High-speed Web Attack Detection through Extracting Exemplars from HTTP Traffic
Wei Wang, Xiangliang Zhang
ACM SAC 2011
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Xiangliang Zhang, Wei Wang, Kjetil Nørvåg, Michèle Sebag
IEEE ICDM 2010
Scaling Analysis of Affinity Propagation
Cyril Furtlehner, Michèle Sebag, Xiangliang Zhang
Physical Review E, Vol. 81, 066102, 2010
Abstracting Audit Data for Lightweight Intrusion Detection
Wei Wang, Xiangliang Zhang, Georgios Pitsilis
ICISS 2010
Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution
Xiangliang Zhang, Wei Wang
ADMA 2010
Adaptively Detecting Changes in Autonomic Grid Computing
Xiangliang Zhang, Cécile Germain-Renaud, Michèle Sebag
IEEE GRID 2010 Workshop
Contributions to Large Scale Data Clustering and Streaming with Affinity Propagation. Application to Autonomic Grids.
Xiangliang Zhang
Ph.D. Thesis, INRIA and Université Paris-Sud 11, 2010
Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming
Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain, Michèle Sebag
KDD 2009
Constructing Attribute Weights from Audit Data for Effective Intrusion Detection
Wei Wang, Xiangliang Zhang, Sylvain Gombault
Journal of Systems and Software, Vol. 82, No. 12, 2009
Attribute Normalization in Network Intrusion Detection
Wei Wang, Xiangliang Zhang, Sylvain Gombault, Svein J. Knapskog
I-SPAN 2009
G-StrAP: A 2-level Real-time Grid Monitoring System
Xiangliang Zhang, Cyril Furtlehner, Cécile Germain-Renaud, Michèle Sebag
CAp 2009
Multi-scale Realtime Grid Monitoring with Job Stream Mining
Xiangliang Zhang, Michèle Sebag, Cécile Germain
IEEE/ACM CCGrid 2009
Fast Intrusion Detection Based on a Non-negative Matrix Factorization Model
Xiaohong Guan, Wei Wang, Xiangliang Zhang
Journal of Network and Computer Applications, Vol. 32, No. 1, 2009
Data Streaming with Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag
ECML PKDD 2008
Distributed and Incremental Clustering Based on Weighted Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag
STAIRS 2008
Frugal and Online Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag
CAp 2008
Modelling the Jobs of a Grid System
Xiangliang Zhang, Michèle Sebag, Cécile Germain
RFIA 2008
Processing of Massive Audit Data Streams for Real-Time Anomaly Intrusion Detection
Wei Wang, Xiaohong Guan, Xiangliang Zhang
Computer Communications, Vol. 31, No. 1, 2008
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files
Xiangliang Zhang, Michèle Sebag, Cécile Germain
IEEE ICDM Workshop DSMM 2007
Tomography Experiment of an Integrated Circuit Specimen Using 3 MeV Electrons in the Transmission Electron Microscope
Haibo Zhang, Xiangliang Zhang, Yong Wang, Akio Takaoka
Review of Scientific Instruments, Vol. 78, 013701, 2007
Profiling Program Behavior for Anomaly Intrusion Detection Based on the Transition and Frequency Property of Computer Audit Data
Wei Wang, Xiaohong Guan, Xiangliang Zhang, Liwei Yang
Computers & Security, Vol. 25, No. 7, 2006
Profiling Program and User Behaviors for Anomaly Intrusion Detection Based on Non-negative Matrix Factorization
Wei Wang, Xiaohong Guan, Xiangliang Zhang
IEEE CDC 2004
A Novel Intrusion Detection Method Based on Principal Component Analysis in Computer Security
Wei Wang, Xiaohong Guan, Xiangliang Zhang
ISNN 2004
Modeling Program Behaviors by Hidden Markov Models for Intrusion Detection
Wei Wang, Xiaohong Guan, Xiangliang Zhang
IEEE ICMLC 2004