Publications

277.

Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions

Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang

CIKM 2025 (full paper)

276.

Towards Few-shot Chemical Reaction Outcome Prediction

Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang

CIKM 2025 (full paper)

275.

Jailbreaking LLMs via Misalignment on Out-of-Distribution Inputs

Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang

CIKM 2025 (short paper)

274.

Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models

Chujie Gao, Yue Huang, Xiangqi Wang, Siyuan Wu, Nitesh Chawla, Xiangliang Zhang

CIKM 2025 (short paper)

273.

Fair Online Influence Maximization

Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamilla, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang

TMLR 2025

272.

Exposing and Patching the Flaws of Large Language Models in Social Character Simulation

Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang

COLM 2025

271.

TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models

Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang

NAACL 2025 Demo

270.

CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP

Tianyu Yang, Lisen Dai, Xiangqi Wang, Minhao Cheng, Yapeng Tian, Xiangliang Zhang

ACL 2025

269.

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?

Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang

ACL 2025

268.

Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis

Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang

ACL 2025, Findings

267.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models

Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang

ACL 2025

266.

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models

Lang Gao, Jiahui Geng, Xiangliang Zhang, Preslav Nakov, Xiuying Chen

ACL 2025

265.

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond

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

IJCAI 2025 Survey Track

264.

Evaluating and Mitigating Bias in AI-based Medical Text Generation

Xiuying Chen, Tairan Wang, Juexiao Zhou, Xin Gao, Xiangliang Zhang

Nature Computational Science, 2025

263.

WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights

Xiangqi Wang, Tianyu Yang, Jason Rohr, Brett Scheffers, Nitesh Chawla, Xiangliang Zhang

WSDM 2025 (Demo)

262.

Improving Reaction Prediction through Chemically Aware Transfer Learning

Angus Keto, Taicheng Guo, Nils Gönnheimer, Xiangliang Zhang, Elizabeth H. Krenske, Olaf Wiest

Digital Discovery, 2025

261.

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Xiangliang Zhang, Lichao Sun

ICLR 2025

260.

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

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

ICLR 2025

259.

UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs

Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang

TheWebConf 2025

258.

WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs

Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Bohua Chen, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang

TheWebConf 2025

257.

Towards Fair Graph Learning without Demographic Information

Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang

AISTATS 2025

256.

Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning

Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang

AAAI 2025

255.

Knowledge Distillation on Graphs: A Survey

Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla

ACM Computing Surveys (To appear)

254.

Unveiling the power of language models in chemical research question answering

Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Zirui Song, Xin Gao, Xiangliang Zhang

Communications Chemistry, volume 8, Article number: 4 (2025)

253.

Machine learning assisted plasmonic metascreen for enhanced broadband absorption in ultra-thin silicon films

Ying Wu, Waqas Ahmed, Haicheng Cao, Changqing Xu, Mohamed Farhat, Muhammad Amin, Xiaohang Li, Xiangliang Zhang

Light: Science & Applications, 14, 42 (2025)

252.

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

251.

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

250.

Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators

Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai

NeurIPS 2024

249.

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

248.

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

247.

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models

Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang

EMNLP 2024 Main

246.

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

245.

Zero-Shot Relational Learning for Multimodal Knowledge Graphs

Rui Cai, Shichao Pei, Xiangliang Zhang

IEEE Big Data 2024 (Regular paper)

244.

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

243.

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

242.

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

241.

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

240.

Cross-Context Backdoor Attacks against Graph Prompt Learning

Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang

KDD 2024

239.
238.

Attack-Free Evaluating and Enhancing Adversarial Robustness on Categorical Data

Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang

ICML 2024

237.

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

236.

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)

235.

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

234.

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

233.

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)

232.

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang

AAAI 2024

231.

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

230.

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

229.

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

228.

Gradient-Based Local Causal Structure Learning

Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo

IEEE Transactions on Cybernetics, 2024

227.

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

226.

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

225.

Forgetting User Preference in Recommendation Systems with Label-Flipping

Manal Alshehri, Xiangliang Zhang

IEEE International Conference on Big Data 2023 (Regular Paper)

224.

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

223.

UniMath: A Foundational and Multimodal Mathematical Reasoner

Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang

EMNLP 2023

222.

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

221.

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

220.

Neural Multi-hop Logical Query Answering with Concept-level Answers

Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf

ISWC 2023

219.

Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation

Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang

KDD 2023

218.

Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation

Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang

KDD 2023

217.

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

216.

Compositional Mathematical Encoding for Math Word Problems

Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang

Findings of ACL 2023

215.

Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation

Shichao Pei, Qiannan Zhang, Xiangliang Zhang

Findings of ACL 2023

214.
213.

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)

212.

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)

211.

LogicRec: Recommendation with Users' Logical Requirements

Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner

SIGIR 2023 (Short paper)

210.

Few-shot News Recommendation via Cross-lingual Transfer

Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang

The Web Conference 2023

209.

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%)

208.

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

207.

Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs

Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

AAAI 2023

206.

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

205.

Generalizing Math Word Problem Solvers via Solution Diversification

Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang

AAAI 2023

204.

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

203.

Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs

Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang

WSDM 2023

202.

Telecommunication Traffic Forecasting via Multi-task Learning

Xiaochuan Gou, Xiangliang Zhang

WSDM 2023

201.

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)

200.

QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting

Xiaochuan Gou, Peng Han, Xiangliang Zhang

IEEE Big Data 2022 (Short Paper)

199.

Analogical Math Word Problems Solving with Enhanced Problem-Solution Association

Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang

EMNLP 2022 Main

198.

Scientific Paper Extractive Summarization Enhanced by Citation Graphs

Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang

EMNLP 2022 Main

197.

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

196.

Towards Improving Faithfulness in Abstractive Summarization

Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang

NeurIPS 2022

195.

DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model

Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang

CIKM 2022

194.

Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation

Manal Abdulaziz Alshehri, Xiangliang Zhang

CIKM 2022

193.

A Biased Sampling Method for Imbalanced Personalized Ranking

Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang

CIKM 2022

192.

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

191.

Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer

Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang

KDD 2022 Research Track

190.

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

189.

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

188.

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)

187.

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

186.

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

185.

ArMATH: a Dataset for Solving Arabic Math Word Problems

Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang

LREC 2022

184.

Towards Understanding the Robustness Against Evasion Attack on Categorical Data

Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang

ICLR 2022

183.

Graph Alignment with Noisy Supervision

Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang

TheWebConf 2022

182.

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

181.

HG-Meta: Graph Meta-learning over Heterogeneous Graphs

Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang

SDM 2022

180.

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

179.

SAIL: Self-Augmented Graph Contrastive Learning

Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

AAAI 2022

178.

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

177.

Interpretable Relation Learning on Heterogeneous Graphs

Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang

WSDM 2022

176.

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

175.

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

174.

Data-Efficient Language Shaped Few-shot Image Classification

Zhenwen Liang, Xiangliang Zhang

Findings of EMNLP 2021

173.

GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation

Changsheng Ma, Xiangliang Zhang

CIKM 2021 (Full Paper)

172.

Set-aware Entity Synonym Discovery with Flexible Receptive Fields

Shichao Pei, Lu Yu, Xiangliang Zhang

IEEE Transactions on Knowledge and Data Engineering (TKDE)

171.
170.

A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks

Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang

KDD 2021

169.

Socially-Aware Self-Supervised Tri-Training for Recommendation

Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Quoc Viet Hung Nguyen

KDD 2021

168.

PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization

Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik

ICML 2021 (Long Presentation)

167.

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

166.

Solving Math Word Problems with Teacher Supervision

Zhenwen Liang, Xiangliang Zhang

IJCAI 2021

165.

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

164.

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

163.

Characterizing the Evasion Attackability of Multi-label Classifiers

Zhuo Yang, Yufei Han, Xiangliang Zhang

AAAI 2021

162.

Does Head Label Help for Long-Tailed Multi-Label Text Classification

Lin Xiao, Xiangliang Zhang, Chi Huang, Mingyang Song, Liping Jing

AAAI 2021

161.

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

AAAI 2021

160.

Deep Multi-type Objects Multi-view Multi-instance Multi-label Learning

Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang

SDM 2021

159.

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)

158.

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)

157.

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

156.

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)

155.

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

154.

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

153.

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

152.

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

151.

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

150.

Flexible Cross-Modal Hashing

Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

149.

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

148.

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

147.

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

146.

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

145.

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation

Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang

NeurIPS 2020

144.

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

143.

Partial Multi-Label Learning using Label Compression

Yingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IEEE ICDM 2020 (Regular Paper)

142.

Deep Incomplete Multi-View Multiple Clusterings

Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IEEE ICDM 2020 (Regular Paper)

141.

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)

140.

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)

139.

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)

138.

Multi-modal Network Representation Learning

Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla

KDD 2020 Tutorial

137.

REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs

Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang

KDD 2020

136.

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

135.

Weakly-Supervised Multi-view Multi-instance Multi-label Learning

Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2020

134.

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

133.

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

132.

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

131.

Robust Federated Learning via Collaborative Machine Teaching

Yufei Han, Xiangliang Zhang

AAAI 2020

130.

Multi-View Multiple Clusterings using Deep Matrix Factorization

Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

AAAI 2020

129.

Recurrent Attention Walk for Semi-supervised Classification

Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang

WSDM 2020

128.

Attention-Aware Answers of the Crowd

Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

SDM 2020

127.

GraPASA: Parametric Graph Embedding via Siamese Architecture

Yujun Chen, Ke Sun, Juhua Pu, Zhang Xiong, Xiangliang Zhang

Information Sciences, 512: 1442-1457 (2020)

126.

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)

125.

Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification

Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang

IEEE ICDM 2019 (Regular Paper)

124.

Dataset Recommendation via Variational Graph Autoencoder

Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang

IEEE ICDM 2019 (Regular Paper)

123.

Cross-modal Zero-shot Hashing

Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang

IEEE ICDM 2019 (Regular Paper)

122.

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)

121.

In2Rec: Influence-based Interpretable Recommendation

Huafeng Liu, Liping Jing, Jingxuan Wen, Jian Yu, Xiangliang Zhang

CIKM 2019

120.

Improving Cross-lingual Entity Alignment via Optimal Transport

Shichao Pei, Lu Yu, Xiangliang Zhang

IJCAI 2019

119.

ActiveHNE: Active Heterogeneous Network Embedding

Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang

IJCAI 2019

118.

Multi-View Multiple Clustering

Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2019

117.

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

116.

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

115.

Individuality and Commonality based Multi-View Multi-Label Learning

Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IEEE Transactions on Cybernetics, 2019

114.

A Novel Framework for Node/Edge Attributed Graph Embedding

Guolei Sun, Xiangliang Zhang

PAKDD 2019

113.

Selective Matrix Factorization for Multi-Relational Data Fusion

Yuehui Wang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo

DASFAA 2019

112.

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

111.

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

110.

Multi-order Attentive Ranking Model for Sequential Recommendation

Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

AAAI 2019

109.

Submodular Optimization Over Streams with Inhomogeneous Decays

Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang

AAAI 2019

108.

Co-Embedding Attributed Networks

Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang

WSDM 2019

107.

Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks

Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang

IEEE ICDE 2019

106.

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

105.

Mining top-k Popular Datasets via a Deep Generative Model

Uchenna Akujuobi, Ke Sun, Xiangliang Zhang

IEEE Big Data 2018

104.

Spatio-Temporal Attention Based Recurrent Neural Network for Next POI Prediction

Basmah Altaf, Lu Yu, Xiangliang Zhang

IEEE Big Data 2018

103.

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

102.

Dynamic Embeddings for User Profiling in Twitter

Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas

KDD 2018

101.

Multi-label Learning with Highly Incomplete Data via Collaborative Embedding

Yufei Han, Yun Shen, Guolei Sun, Xiangliang Zhang

KDD 2018

100.

Mining Streaming and Temporal Data: From Representation to Knowledge

Xiangliang Zhang

IJCAI-ECAI 2018 (Early Career Spotlight)

99.

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference

Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

IJCAI-ECAI 2018

98.

WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation

Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang

AAAI 2018

97.

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

96.

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

95.

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

94.

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

93.

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

92.

Randomizing SVM against Adversarial Attacks Under Uncertainty

Yan Chen, Wei Wang, Xiangliang Zhang

PAKDD 2018

91.

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

90.

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

89.

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

88.

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

87.

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

86.

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

85.

Exploiting Reject Option in Classification for Social Discrimination Control

Faisal Kamiran, Sameen Mansha, Asim Karim, Xiangliang Zhang

Information Sciences, Volume 425, 2018

84.

Abstracting Massive Data for Lightweight Intrusion Detection in Computer Networks

Wei Wang, Jiqiang Liu, Georgios Pitsilis, Xiangliang Zhang

Information Sciences, Volumes 433-434, 2018

83.

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

82.

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

81.

ImWalkMF: Joint Matrix Factorization and Implicit Walk Integrative Learning for Recommendation

Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

IEEE Big Data 2017

80.

MARMITE: Spreading Malicious File Reputation Through Download Graphs

Gianluca Stringhini, Yun Shen, Yufei Han, Xiangliang Zhang

ACSAC 2017

79.

Delve: A Dataset-Driven Scholarly Search and Analysis System

Uchenna Akujuobi, Xiangliang Zhang

SIGKDD Explorations, Vol. 19, Issue 2, 2017

78.

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

77.

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

76.

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

75.

Modeling Temporal Behavior of Awards Effect on Viewership of Movies

Basmah Altaf, Faisal Kamiran, Xiangliang Zhang

PAKDD 2017

74.

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

73.

Collaborative User Network Embedding for Social Recommender Systems

Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang

SDM 2017

72.

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

71.

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

70.

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

69.

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

68.
67.

Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph

Ibrahim Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang

CIKM 2016

66.

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

65.

Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces

Basma Alharbi, Abdulhakim A. Qahtan, Xiangliang Zhang

AAAI 2016

64.

Large Margin Classification with Indefinite Similarities

Ibrahim M. Alabdulmohsin, Moustapha Cisse, Xin Gao, Xiangliang Zhang

Machine Learning Journal, 103(2): 215-237, 2016

63.

Modeling and Predicting AD Progression by Regression Analysis of Sequential Clinical Data

Qing Xie, Su Wang, Jia Zhu, Xiangliang Zhang

Neurocomputing, Volume 195, 2016

62.

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

61.

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?

Ibrahim M. Alabdulmohsin, Moustapha Cisse, Xiangliang Zhang

ECML PKDD 2016

60.

CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method

Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li

DASFAA 2016

59.

Detecting Anomaly in Traffic Flow from Road Similarity Analysis

Xinran Liu, Xingwu Liu, Yuanhong Wang, Juhua Pu, Xiangliang Zhang

WAIM 2016

58.

A PCA-Based Change Detection Framework for Multidimensional Data Streams

Abdulhakim A. Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang

KDD 2015

57.

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

56.

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

55.

Efficient Active Learning of Halfspaces via Query Synthesis

Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang

AAAI 2015

54.

Addressing Instance Ambiguity in Web Harvesting

Zhixu Li, Xiangliang Zhang, Hai Huang, Qing Xie, Jia Zhu, Xiaofang Zhou

WebDB 2015

53.

Support Vector Machines with Indefinite Kernels

Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang

ACML 2014

52.

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

51.

Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering

Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang

CIKM 2014

50.

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

49.

Anti-discrimination Analysis Using Privacy Attack Strategies

Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang

ECML PKDD 2014

48.

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

47.

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

46.

TideWatch: Fingerprinting the Cyclicality of Big Data Workloads

Dan Williams, Shuai Zheng, Xiangliang Zhang, Hani Jamjoom

IEEE INFOCOM 2014

45.

Cost Reduction for Web-based Data Imputation

Zhixu Li, Shuo Shang, Qing Xie, Xiangliang Zhang

DASFAA 2014

44.

Overcoming Semantic Drift in Information Extraction

Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou

EDBT 2014

43.
42.

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

41.

Controlling Attribute Effect in Linear Regression

Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang

IEEE ICDM 2013

40.

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

39.

Local Correlation Detection with Linearity Enhancement in Streaming Data

Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang

CIKM 2013

38.

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

37.

Video Quality Prediction over Wireless 4G

Chun Pong Lau, Xiangliang Zhang, Basem Shihada

PAKDD 2013

36.

Decision Theory for Discrimination-aware Classification

Faisal Kamiran, Asim Karim, Xiangliang Zhang

IEEE ICDM 2012

35.

Multiplicative Algorithms for Constrained Non-negative Matrix Factorization

Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David Keyes

IEEE ICDM 2012

34.

Efficient Estimation of Dynamic Density Functions with an Application to Outlier Detection

Abdulhakim Qahtan, Xiangliang Zhang, Suojin Wang

CIKM 2012

33.

A Direction Change-Based Algorithm for Polygonal Approximation

Han Liu, Xiangliang Zhang, Alyn Rockwood

ICPR 2012

32.

Discovering Highly Informative Feature Set over High Dimensions

Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang

ICTAI 2012

31.

Modeling and Clustering Users with Evolving Profiles in Usage Streams

Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang

TIME 2012

30.

A Mouse-Trajectory Based Model for Predicting Query-URL Relevance

Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang

AAAI 2012

29.

Virtual Machine Migration in an Over-committed Cloud

Xiangliang Zhang, Zon-Yin Shae, Shuai Zheng, Hani Jamjoom

IEEE NOMS 2012

28.

Understanding and Analyzing Network Traffic

Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng

IEEE Network, January 2012

27.

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

26.

Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information

Georgios Pitsilis, Xiangliang Zhang, Wei Wang

IFIPTM 2011

25.

Network Traffic Monitoring, Analysis and Anomaly Detection

Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng

IEEE Network, May 2011

24.
23.

K-AP: Generating Specified K Clusters by Efficient Affinity Propagation

Xiangliang Zhang, Wei Wang, Kjetil Nørvåg, Michèle Sebag

IEEE ICDM 2010

22.

Scaling Analysis of Affinity Propagation

Cyril Furtlehner, Michèle Sebag, Xiangliang Zhang

Physical Review E, Vol. 81, 066102, 2010

21.

Abstracting Audit Data for Lightweight Intrusion Detection

Wei Wang, Xiangliang Zhang, Georgios Pitsilis

ICISS 2010

20.
19.

Adaptively Detecting Changes in Autonomic Grid Computing

Xiangliang Zhang, Cécile Germain-Renaud, Michèle Sebag

IEEE GRID 2010 Workshop

18.
17.

Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming

Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain, Michèle Sebag

KDD 2009

16.

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

15.

Attribute Normalization in Network Intrusion Detection

Wei Wang, Xiangliang Zhang, Sylvain Gombault, Svein J. Knapskog

I-SPAN 2009

14.

G-StrAP: A 2-level Real-time Grid Monitoring System

Xiangliang Zhang, Cyril Furtlehner, Cécile Germain-Renaud, Michèle Sebag

CAp 2009

13.

Multi-scale Realtime Grid Monitoring with Job Stream Mining

Xiangliang Zhang, Michèle Sebag, Cécile Germain

IEEE/ACM CCGrid 2009

12.

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

11.

Data Streaming with Affinity Propagation

Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

ECML PKDD 2008

10.

Distributed and Incremental Clustering Based on Weighted Affinity Propagation

Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

STAIRS 2008

9.

Frugal and Online Affinity Propagation

Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

CAp 2008

8.

Modelling the Jobs of a Grid System

Xiangliang Zhang, Michèle Sebag, Cécile Germain

RFIA 2008

7.

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

6.

Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files

Xiangliang Zhang, Michèle Sebag, Cécile Germain

IEEE ICDM Workshop DSMM 2007

5.

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

4.

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

3.
2.
1.

Modeling Program Behaviors by Hidden Markov Models for Intrusion Detection

Wei Wang, Xiaohong Guan, Xiangliang Zhang

IEEE ICMLC 2004