GPS ambiguity resolution of single epoch data using genetic algorithms. - Zhimin Liu; Weidong Xiong; Zhizhong Kang; Huizhan Zhang; Meng Qu (ICNC, 2010)

A cost-effective recommender system for taxi drivers. - Meng Qu; Hengshu Zhu; Junming Liu; Guannan Liu; Hui Xiong 001 (KDD, 2014)

Station Site Optimization in Bike Sharing Systems. - Junming Liu; Qiao Li; Meng Qu; Weiwei Chen 003; Jingyuan Yang 001; Hui Xiong 001; Hao Zhong 002; Yanjie Fu (ICDM, 2015)

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. - Jian Tang 005; Meng Qu; Qiaozhu Mei (KDD, 2015)

LINE: Large-scale Information Network Embedding. - Jian Tang 005; Meng Qu; Mingzhe Wang; Ming Zhang 004; Jun Yan 001; Qiaozhu Mei (WWW, 2015)

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. - Xiang Ren 001; Wenqi He; Meng Qu; Lifu Huang; Heng Ji 001; Jiawei Han 001 (EMNLP, 2016)

Unified Point-of-Interest Recommendation with Temporal Interval Assessment. - Yanchi Liu; Chuanren Liu; Bin Liu 045; Meng Qu; Hui Xiong 001 (KDD, 2016)

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. - Xiang Ren 001; Wenqi He; Meng Qu; Clare R. Voss; Heng Ji 001; Jiawei Han 001 (KDD, 2016)

Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. - Jingbo Shang; Meng Qu; Jialu Liu; Lance M. Kaplan; Jiawei Han 001; Jian Peng 001 (CoRR, 2016)

Identity-sensitive Word Embedding through Heterogeneous Networks. - Jian Tang 005; Meng Qu; Qiaozhu Mei (CoRR, 2016)

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. - Xiang Ren 001; Jiaming Shen; Meng Qu; Xuan Wang 008; Zeqiu Wu; Qi Zhu 008; Meng Jiang 001; Fangbo Tao; Saurabh Sinha; David Liem; Peipei Ping; Richard M. Weinshilboum; et al. (ACL (System Demonstrations), 2017)

An Attention-based Collaboration Framework for Multi-View Network Representation Learning. - Meng Qu; Jian Tang 005; Jingbo Shang; Xiang Ren 001; Ming Zhang 004; Jiawei Han 001 (CIKM, 2017)

Automatic Synonym Discovery with Knowledge Bases. - Meng Qu; Xiang Ren 001; Jiawei Han 001 (KDD, 2017)

ProSNet: integrating homology with molecular networks for protein function prediction. - Sheng Wang 001; Meng Qu; Jian Peng 001 (PSB, 2017)

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. - Xiang Ren 001; Zeqiu Wu; Wenqi He; Meng Qu; Clare R. Voss; Heng Ji 001; Tarek F. Abdelzaher; Jiawei Han 001 (WWW, 2017)

Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. - Meng Qu; Xiang Ren 001; Yu Zhang 044; Jiawei Han 001 (CoRR, 2017)

Automatic diabetic retinopathy diagnosis using adjustable ophthalmoscope and multi-scale line operator. - Meng Qu; Chun Ni; Mufan Chen; Linghan Zheng; Ling Dai; Bin Sheng 001; Ping Li 016; Qiang Wu (Pervasive Mob. Comput., 2017)

Knowledge Graph Embedding with Hierarchical Relation Structure. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Fen Lin; Qing He 003 (EMNLP, 2018)

TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. - Qi Li 012; Meng Jiang 001; Xikun Zhang 001; Meng Qu; Timothy P. Hanratty; Jing Gao 004; Jiawei Han 001 (KDD, 2018)

Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. - Meng Qu; Jian Tang 005; Jiawei Han 001 (WSDM, 2018)

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. - Meng Qu; Xiang Ren 001; Yu Zhang 044; Jiawei Han 001 (WWW, 2018)

Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days. - Xiaoping Pang; Jian Pu; Xi Zhao 003; Qing Ji; Meng Qu; Zian Cheng (Remote. Sens., 2018)

Collaborative Policy Learning for Open Knowledge Graph Reasoning. - Cong Fu 001; Tong Chen; Meng Qu; Woojeong Jin 001; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

GMNN: Graph Markov Neural Networks. - Meng Qu; Yoshua Bengio; Jian Tang 005 (ICML, 2019)

Probabilistic Logic Neural Networks for Reasoning. - Meng Qu; Jian Tang 005 (NeurIPS, 2019)

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. - Fan-Yun Sun; Meng Qu; Jordan Hoffmann; Chin-Wei Huang; Jian Tang 005 (NeurIPS, 2019)

Learning Dual Retrieval Module for Semi-supervised Relation Extraction. - Hongtao Lin; Jun Yan 012; Meng Qu; Xiang Ren 001 (WWW, 2019)

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. - Zhaocheng Zhu; Shizhen Xu; Jian Tang 005; Meng Qu (WWW, 2019)

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. - Meng Qu; Jian Tang 005; Yoshua Bengio (CoRR, 2019)

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. - Vikas Verma; Meng Qu; Alex Lamb; Yoshua Bengio; Juho Kannala; Jian Tang 005 (CoRR, 2019)

Attending Over Triads for Learning Signed Network Embedding. - Shagun Sodhani; Meng Qu; Jian Tang 005 (Frontiers Big Data, 2019)

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. - Woojeong Jin 001; Meng Qu; Xisen Jin; Xiang Ren 001 (EMNLP (1), 2020)

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. - Meng Qu; Tianyu Gao 001; Louis-Pascal A. C. Xhonneux; Jian Tang 005 (ICML, 2020)

Continuous Graph Neural Networks. - Louis-Pascal A. C. Xhonneux; Meng Qu; Jian Tang 005 (ICML, 2020)

Graph Policy Network for Transferable Active Learning on Graphs. - Shengding Hu; Zheng Xiong; Meng Qu; Xingdi Yuan; Marc-Alexandre Côté; Zhiyuan Liu 001; Jian Tang 005 (NeurIPS, 2020)

COVI White Paper. - Hannah Alsdurf; Yoshua Bengio; Tristan Deleu; Prateek Gupta; Daphne Ippolito; Richard Janda; Max Jarvie; Tyler Kolody; Sekoul Krastev; Tegan Maharaj; Robert Obryk; Dan Pilat; et al. (CoRR, 2020)

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. - Prateek Gupta; Tegan Maharaj; Martin Weiss; Nasim Rahaman; Hannah Alsdurf; Abhinav Sharma; Nanor Minoyan; Soren Harnois-Leblanc; Victor Schmidt; Pierre-Luc St-Charles; Tristan Deleu; Andrew Williams; et al. (CoRR, 2020)

GraphMix: Improved Training of GNNs for Semi-Supervised Learning. - Vikas Verma; Meng Qu; Kenji Kawaguchi; Alex Lamb; Yoshua Bengio; Juho Kannala; Jian Tang 005 (AAAI, 2021)

Predicting Infectiousness for Proactive Contact Tracing. - Yoshua Bengio; Prateek Gupta; Tegan Maharaj; Nasim Rahaman; Martin Weiss; Tristan Deleu; Eilif Benjamin Müller; Meng Qu; Victor Schmidt; Pierre-Luc St-Charles; Hannah Alsdurf; Olexa Bilaniuk; et al. (ICLR, 2021)

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. - Meng Qu; Jun-Kun Chen; Louis-Pascal A. C. Xhonneux; Yoshua Bengio; Jian Tang 005 (ICLR, 2021)

Joint Modeling of Visual Objects and Relations for Scene Graph Generation. - Minghao Xu; Meng Qu; Bingbing Ni; Jian Tang 005 (NeurIPS, 2021)

Knowledge graph embedding with shared latent semantic units. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Zheng-Yu Niu; Hui Xiong 001; Qing He 003 (Neural Networks, 2021)

Structured Multi-task Learning for Molecular Property Prediction. - Shengchao Liu; Meng Qu; Zuobai Zhang; Huiyu Cai; Jian Tang 005 (AISTATS, 2022)

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. - Xiao Luo 001; Wei Ju 001; Meng Qu; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (ICDE, 2022)

Neural Structured Prediction for Inductive Node Classification. - Meng Qu; Huiyu Cai; Jian Tang 005 (ICLR, 2022)

TGNN: A Joint Semi-supervised Framework for Graph-level Classification. - Wei Ju 001; Xiao Luo 001; Meng Qu; Yifan Wang 014; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (IJCAI, 2022)

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. - Wei Ju 001; Junwei Yang; Meng Qu; Weiping Song; Jianhao Shen; Ming Zhang 004 (WSDM, 2022)

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. - Zhaocheng Zhu; Chence Shi; Zuobai Zhang; Shengchao Liu; Minghao Xu; Xinyu Yuan; Yangtian Zhang; Jun-Kun Chen; Huiyu Cai; Jiarui Lu; Chang Ma; Runcheng Liu; et al. (CoRR, 2022)

An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2. - Ming Li; Jiping Liu; Meng Qu; Zhanhai Zhang; Xi Liang (Remote. Sens., 2022)

Application of Machine Learning for Simulation of Air Temperature at Dome A. - Xiaoping Pang; Chuang Liu; Xi Zhao 003; Bin He; Pei Fan; Yue Liu; Meng Qu; Minghu Ding (Remote. Sens., 2022)

Sea Ice Concentration Derived From FY-3D MWRI and Its Accuracy Assessment. - Xi Zhao 003; Ying Chen; Stefan Kern; Meng Qu; Qing Ji; Pei Fan; Yue Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

Evaluation of the relationships and uncertainties of airborne and ground-based sea ice surface temperature measurements against remotely sensed temperature records. - Pei Fan; Xi Zhao 003; Meng Qu; Zhongnan Yan; Ying Chen; Zeyu Liang; Xiaoping Pang (Int. J. Digit. Earth, 2022)

Signed Laplacian Graph Neural Networks. - Yu Li 022; Meng Qu; Jian Tang 005; Yi Chang 001 (AAAI, 2023)

Learning on Large-scale Text-attributed Graphs via Variational Inference. - Jianan Zhao 002; Meng Qu; Chaozhuo Li; Hao Yan 004; Qian Liu; Rui Li 086; Xing Xie 001; Jian Tang 005 (ICLR, 2023)

GraphText: Graph Reasoning in Text Space. - Jianan Zhao 002; Le Zhuo; Yikang Shen; Meng Qu; Kai Liu; Michael M. Bronstein; Zhaocheng Zhu; Jian Tang 005 (CoRR, 2023)

Distribution Characteristics and Influencing Factors of Sea Ice Leads in the Weddell Sea, Antarctica. - Yueyun Wang; Qing Ji; Xiaoping Pang; Meng Qu; Mingxing Cha; Fanyi Zhang; Zhongnan Yan; Bin He (Remote. Sens., 2023)

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. - Xiangru Tang; Qiao Jin 001; Kunlun Zhu; Tongxin Yuan; Yichi Zhang; Wangchunshu Zhou; Meng Qu; Yilun Zhao 001; Jian Tang; Zhuosheng Zhang 001; Arman Cohan; Zhiyong Lu; et al. (CoRR, 2024)

VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. - Tao He; Ming Liu 004; Yixin Cao 002; Meng Qu; Zihao Zheng; Bing Qin 001 (Data Min. Knowl. Discov., 2024)

An abnormal behaviour recognition of MOOC online learning based on multidimensional data mining. - Meng Qu (Int. J. Auton. Adapt. Commun. Syst., 2024)

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. - Xiao Luo 001; Wei Ju 001; Meng Qu; Yiyang Gu; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploring patron behavior in an academic library: A wi-fi-connection data analysis. - Meng Qu (Educ. Inf. Technol., 2024)

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning. - Chenwei Lou; Zewei Sun; Xinnian Liang; Meng Qu; Wei Shen; Wenqi Wang; Yuntao Li; Qingping Yang; Shuangzhi Wu (CoRR, 2025)

Plugging and Breathing on the Air: A Practical Defense System for Deep Learning-Based Wireless Semantic Communications. - Chenyang Qiu 001; Guoshun Nan; Ruiwen Liang; Wendi Deng; Yufan Zhang; Yuchong Gao; Di Wang 011; Meng Qu; Zhuoran Duan; Qianlong Sun; Qimei Cui; Xiaodong Xu 001; et al. (IEEE Trans. Mob. Comput., 2025)