| Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J Qiu, Y Dong, H Ma, J Li, K Wang, J Tang Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 655 | 2018 |
| DeepInf: Social Influence Prediction with Deep Learning J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang Proceedings of the 24th ACM SIGKDD international conference on Knowledge …, 2018 | 324* | 2018 |
| GCC: Graph Contrastive Coding for Graph Neural Network Pre-training J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 253 | 2020 |
| Modeling and Predicting Learning Behavior in MOOCs J Qiu, J Tang, TX Liu, J Gong, C Zhang, Q Zhang, Y Xue Proceedings of the ninth ACM international conference on web search and data …, 2016 | 184 | 2016 |
| NetSMF: Large-scale Network Embedding as Sparse Matrix Factorization J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang The World Wide Web Conference, 1509-1520, 2019 | 109 | 2019 |
| Detecting Stress Based on Social Interactions in Social Networks H Lin, J Jia, J Qiu, Y Zhang, G Shen, L Xie, J Tang, L Feng, TS Chua IEEE Transactions on Knowledge and Data Engineering 29 (9), 1820-1833, 2017 | 94 | 2017 |
| The Lifecycle and Cascade of WeChat Social Messaging Groups J Qiu, Y Li, J Tang, Z Lu, H Ye, B Chen, Q Yang, JE Hopcroft Proceedings of the 25th International Conference on World Wide Web, 311-320, 2016 | 85 | 2016 |
| Energy-traffic Tradeoff Cooperative Offloading for Mobile Cloud Computing J Song, Y Cui, M Li, J Qiu, R Buyya Quality of Service (IWQoS), 2014 IEEE 22nd International Symposium of, 284-289, 2014 | 83 | 2014 |
| Blockwise self-attention for long document understanding J Qiu, H Ma, O Levy, SW Yih, S Wang, J Tang Findings of EMNLP 2020, 2019 | 71 | 2019 |
| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 45 | 2021 |
| Alchemy: A quantum chemistry dataset for benchmarking ai models G Chen, P Chen, CY Hsieh, CK Lee, B Liao, R Liao, W Liu, J Qiu, Q Sun, ... arXiv preprint arXiv:1906.09427, 2019 | 42 | 2019 |
| All nlp tasks are generation tasks: A general pretraining framework Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang arXiv preprint arXiv:2103.10360, 2021 | 24 | 2021 |
| RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions X Wang, Y Li, J Qiu, G Chen, H Liu, B Liao, CY Hsieh, X Yao Chemical Engineering Journal 420, 129845, 2021 | 18 | 2021 |
| Fastmoe: A fast mixture-of-expert training system J He, J Qiu, A Zeng, Z Yang, J Zhai, J Tang arXiv preprint arXiv:2103.13262, 2021 | 17 | 2021 |
| Lightne: A lightweight graph processing system for network embedding J Qiu, L Dhulipala, J Tang, R Peng, C Wang Proceedings of the 2021 international conference on management of data, 2281 …, 2021 | 5 | 2021 |
| A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices J Qiu, C Wang, B Liao, R Peng, J Tang Advances in Neural Information Processing Systems 33, 2020 | 4 | 2020 |
| BaGuaLu: Targeting Brain Scale Pretrained Models with over 37 Million Cores Z Ma, J He, J Qiu, H Cao, Y Wang, Z Sun, L Zheng, H Wang, S Tang, ... Symposium on Principles and Practice of Parallel Programming, 2022 | 1 | 2022 |
| Stable Prediction on Graphs with Agnostic Distribution Shift S Zhang, K Kuang, J Qiu, J Yu, Z Zhao, H Yang, Z Zhang, F Wu arXiv preprint arXiv:2110.03865, 2021 | 1 | 2021 |
| Graph Representation Learning: Foundations, Methods, Applications and Systems W Jin, Y Ma, Y Wang, X Liu, J Tang, Y Cen, J Qiu, J Tang, C Shi, Y Ye, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 1 | 2021 |
| Invitation behavior prediction method and apparatus, and storage medium J Tang, J Qiu, Y Qian, B Chen, YE Hao, D Liu, Y Zheng US Patent App. 16/387,705, 2019 | 1 | 2019 |
Tang JieProfessor, Tsinghua Universitytsinghua.edu.cn의 이메일 확인됨
