Meng Qu - RankMe

85 papers A* 29A 4Misc 2Journal 47Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning. CoRR Chenwei Lou, Zewei Sun, Xinnian Liang, Meng Qu, Wei Shen, Wenqi Wang, Yuntao Li, Qingping Yang, Shuangzhi Wu
2025	J	`jnl`	Plugging and Breathing on the Air: A Practical Defense System for Deep Learning-Based Wireless Semantic Communications. IEEE Trans. Mob. Comput. Chenyang Qiu, Guoshun Nan, Ruiwen Liang, Wendi Deng, Yufan Zhang, Yuchong Gao, Di Wang, Meng Qu, Zhuoran Duan, Qianlong Sun, Qimei Cui, Xiaodong Xu, Xiaofeng Tao, Tony Q. S. Quek
2024	J	`jnl`	An abnormal behaviour recognition of MOOC online learning based on multidimensional data mining. Int. J. Auton. Adapt. Commun. Syst. Meng Qu
2024	J	`jnl`	CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2024	J	`jnl`	Exploring patron behavior in an academic library: A wi-fi-connection data analysis. Educ. Inf. Technol. Meng Qu
2024	J	`jnl`	Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein
2024	J	`jnl`	VEM Data Min. Knowl. Discov. Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
2023	J	`jnl`	Distribution Characteristics and Influencing Factors of Sea Ice Leads in the Weddell Sea, Antarctica. Remote. Sens. Yueyun Wang, Qing Ji, Xiaoping Pang, Meng Qu, Mingxing Cha, Fanyi Zhang, Zhongnan Yan, Bin He
2023	J	`jnl`	GraphText: Graph Reasoning in Text Space. CoRR Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2023	A*	`conf`	Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023	A*	`conf`	Signed Laplacian Graph Neural Networks. AAAI Yu Li, Meng Qu, Jian Tang, Yi Chang
2023	J	`jnl`	TGNN: A Joint Semi-supervised Framework for Graph-level Classification. CoRR Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022	J	`jnl`	An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2. Remote. Sens. Ming Li, Jiping Liu, Meng Qu, Zhanhai Zhang, Xi Liang
2022	J	`jnl`	Application of Machine Learning for Simulation of Air Temperature at Dome A. Remote. Sens. Xiaoping Pang, Chuang Liu, Xi Zhao, Bin He, Pei Fan, Yue Liu, Meng Qu, Minghu Ding
2022	A*	`conf`	DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022	J	`jnl`	Evaluation of the relationships and uncertainties of airborne and ground-based sea ice surface temperature measurements against remotely sensed temperature records. Int. J. Digit. Earth Pei Fan, Xi Zhao, Meng Qu, Zhongnan Yan, Ying Chen, Zeyu Liang, Xiaoping Pang
2022	A	`conf`	KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
2022	J	`jnl`	KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. CoRR Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
2022	J	`jnl`	Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2022	A*	`conf`	Neural Structured Prediction for Inductive Node Classification. ICLR Meng Qu, Huiyu Cai, Jian Tang
2022	J	`jnl`	Neural Structured Prediction for Inductive Node Classification. CoRR Meng Qu, Huiyu Cai, Jian Tang
2022	J	`jnl`	Sea Ice Concentration Derived From FY-3D MWRI and Its Accuracy Assessment. IEEE Trans. Geosci. Remote. Sens. Xi Zhao, Ying Chen, Stefan Kern, Meng Qu, Qing Ji, Pei Fan, Yue Liu
2022	A	`conf`	Structured Multi-task Learning for Molecular Property Prediction. AISTATS Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
2022	J	`jnl`	Structured Multi-task Learning for Molecular Property Prediction. CoRR Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
2022	A*	`conf`	TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022	J	`jnl`	TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR 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, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2021	A*	`conf`	GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2021	A*	`conf`	Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
2021	J	`jnl`	Knowledge graph embedding with shared latent semantic units. Neural Networks Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
2021	A*	`conf`	Predicting Infectiousness for Proactive Contact Tracing. ICLR 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, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2021	A*	`conf`	RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. ICLR Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang
2020	J	`jnl`	COVI White Paper. CoRR Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck, Jian Tang, Martin Weiss, Yun William Yu
2020	J	`jnl`	COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR 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, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio
2020	A*	`conf`	Continuous Graph Neural Networks. ICML Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2020	A*	`conf`	Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
2020	J	`jnl`	Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. CoRR Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
2020	A*	`conf`	Graph Policy Network for Transferable Active Learning on Graphs. NeurIPS Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
2020	J	`jnl`	Graph Policy Network for Transferable Active Learning on Graphs. CoRR Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
2020	J	`jnl`	Predicting Infectiousness for Proactive Contact Tracing. CoRR Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2020	J	`jnl`	RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. CoRR Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang
2020	—	`conf`	Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. EMNLP (1) Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren
2019	J	`jnl`	Attending Over Triads for Learning Signed Network Embedding. Frontiers Big Data Shagun Sodhani, Meng Qu, Jian Tang
2019	—	`conf`	Collaborative Policy Learning for Open Knowledge Graph Reasoning. EMNLP/IJCNLP (1) Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren
2019	J	`jnl`	Collaborative Policy Learning for Open Knowledge Graph Reasoning. CoRR Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren
2019	J	`jnl`	Continuous Graph Neural Networks. CoRR Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2019	A*	`conf`	GMNN: Graph Markov Neural Networks. ICML Meng Qu, Yoshua Bengio, Jian Tang
2019	J	`jnl`	GMNN: Graph Markov Neural Networks. CoRR Meng Qu, Yoshua Bengio, Jian Tang
2019	J	`jnl`	GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2019	A*	`conf`	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. WWW Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu
2019	J	`jnl`	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. CoRR Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
2019	A*	`conf`	Learning Dual Retrieval Module for Semi-supervised Relation Extraction. WWW Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
2019	J	`jnl`	Learning Dual Retrieval Module for Semi-supervised Relation Extraction. CoRR Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
2019	A*	`conf`	Probabilistic Logic Neural Networks for Reasoning. NeurIPS Meng Qu, Jian Tang
2019	J	`jnl`	Probabilistic Logic Neural Networks for Reasoning. CoRR Meng Qu, Jian Tang
2019	J	`jnl`	Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. CoRR Meng Qu, Jian Tang, Yoshua Bengio
2019	A*	`conf`	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
2019	J	`jnl`	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
2018	J	`jnl`	Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days. Remote. Sens. Xiaoping Pang, Jian Pu, Xi Zhao, Qing Ji, Meng Qu, Zian Cheng
2018	A	`conf`	Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM Meng Qu, Jian Tang, Jiawei Han
2018	A*	`conf`	Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
2018	A*	`conf`	TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han
2018	A*	`conf`	Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
2017	A	`conf`	An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017	J	`jnl`	An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017	A*	`conf`	Automatic Synonym Discovery with Knowledge Bases. KDD Meng Qu, Xiang Ren, Jiawei Han
2017	J	`jnl`	Automatic Synonym Discovery with Knowledge Bases. CoRR Meng Qu, Xiang Ren, Jiawei Han
2017	J	`jnl`	Automatic diabetic retinopathy diagnosis using adjustable ophthalmoscope and multi-scale line operator. Pervasive Mob. Comput. Meng Qu, Chun Ni, Mufan Chen, Linghan Zheng, Ling Dai, Bin Sheng, Ping Li, Qiang Wu
2017	A*	`conf`	CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. WWW Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han
2017	—	`conf`	Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han
2017	J	`jnl`	Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
2017	Misc	`conf`	ProSNet: integrating homology with molecular networks for protein function prediction. PSB Sheng Wang, Meng Qu, Jian Peng
2016	A*	`conf`	AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. EMNLP Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han
2016	J	`jnl`	CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. CoRR Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han
2016	J	`jnl`	Identity-sensitive Word Embedding through Heterogeneous Networks. CoRR Jian Tang, Meng Qu, Qiaozhu Mei
2016	A*	`conf`	Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. KDD Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han
2016	J	`jnl`	Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CoRR Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han
2016	J	`jnl`	Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng
2016	A*	`conf`	Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
2015	A*	`conf`	LINE: Large-scale Information Network Embedding. WWW Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
2015	J	`jnl`	LINE: Large-scale Information Network Embedding. CoRR Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
2015	A*	`conf`	PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD Jian Tang, Meng Qu, Qiaozhu Mei
2015	J	`jnl`	PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. CoRR Jian Tang, Meng Qu, Qiaozhu Mei
2015	A*	`conf`	Station Site Optimization in Bike Sharing Systems. ICDM Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu
2014	A*	`conf`	A cost-effective recommender system for taxi drivers. KDD Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong
2010	Misc	`conf`	GPS ambiguity resolution of single epoch data using genetic algorithms. ICNC Zhimin Liu, Weidong Xiong, Zhizhong Kang, Huizhan Zhang, Meng Qu