Research output per year
Research output per year
Search results
-
2024
Peak Period Demand Forecasting with Proxy Data: GNN-Enhanced Meta-Learning
Xu, Z., Zhang, L., Yang, S. & Jiang, N., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024. Institute of Electrical and Electronics Engineers Inc., p. 726-735 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
2023
HappyMap: A Generalized Multicalibration Method
Deng, Z., Dwork, C. & Zhang, L., Jan 1 2023, 14th Innovations in Theoretical Computer Science Conference, ITCS 2023. Kalai, Y. T. (ed.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 41. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 251).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
8 Scopus citations -
2022
C-Mixup: Improving Generalization in Regression
Yao, H., Wang, Y., Zhang, L., Zou, J. & Finn, C., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
21 Scopus citations -
2021
A Central Limit Theorem for Differentially Private Query Answering
Dong, J., Su, W. J. & Zhang, L., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 14759-14770 12 p. (Advances in Neural Information Processing Systems; vol. 18).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
Adversarial Training Helps Transfer Learning via Better Representations
Deng, Z., Zhang, L., Vodrahalli, K., Kawaguchi, K. & Zou, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25179-25191 13 p. (Advances in Neural Information Processing Systems; vol. 30).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
27 Scopus citations -
Improving Generalization in Meta-learning via Task Augmentation
Yao, H., Huang, L. K., Zhang, L., Wei, Y., Tian, L., Zou, J., Huang, J. & Li, Z., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 11887-11897 11 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
50 Scopus citations -
2020
Interpreting robust optimization via adversarial influence functions
Deng, Z., Dwork, C., Wang, J. & Zhang, L., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 2442-2451 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-4).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
2014
How is that complex network complex?
Small, M., Judd, K. & Zhang, L., 2014, 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014. Institute of Electrical and Electronics Engineers Inc., p. 1263-1266 4 p. 6865372. (Proceedings - IEEE International Symposium on Circuits and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Scopus citations