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Journal Articles
- 2022
[j2]Lefan Zhang
, Cyrus Zhou, Michael L. Littman, Blase Ur, Shan Lu:
Helping Users Debug Trigger-Action Programs. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 196:1-196:32 (2022)- 2020
- [j1]Lefan Zhang, Weijia He, Olivia Morkved, Valerie Zhao, Michael L. Littman, Shan Lu, Blase Ur:
Trace2TAP: Synthesizing Trigger-Action Programs from Traces of Behavior. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 104:1-104:26 (2020)
Conference and Workshop Papers
- 2024
- [c7]Lefan Zhang, Zhang-Hao Tian, Wujun Zhou, Wei Wang:
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss. IJCAI 2024: 5471-5480 - 2021
- [c6]Valerie Zhao, Lefan Zhang, Bo Wang, Michael L. Littman, Shan Lu, Blase Ur:
Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences. CHI 2021: 312:1-312:17 - 2020
- [c5]Valerie Zhao, Lefan Zhang, Bo Wang, Shan Lu, Blase Ur:
Visualizing Differences to Improve End-User Understanding of Trigger-Action Programs. CHI Extended Abstracts 2020: 1-10 - 2019
- [c4]Lefan Zhang, Weijia He, Jesse J. Martinez, Noah Brackenbury, Shan Lu, Blase Ur:
AutoTap: synthesizing and repairing trigger-action programs using LTL properties. ICSE 2019: 281-291 - [c3]Weijia He, Jesse J. Martinez, Roshni Padhi, Lefan Zhang, Blase Ur:
When Smart Devices Are Stupid: Negative Experiences Using Home Smart Devices. IEEE Symposium on Security and Privacy Workshops 2019: 150-155 - 2018
- [c2]Yawen Wu, Yinan Sun, Zhenge Jia, Lefan Zhang, Yongpan Liu, Jingtong Hu:
Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper). RSP 2018: 49-55 - [c1]Tongda Wu, Lefan Zhang, Huazhong Yang, Yongpan Liu:
An extensible system simulator for intermittently-powered multiple-peripheral IoT devices. ENSsys@SenSys 2018: 1-6
Informal and Other Publications
- 2024
- [i2]Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen Xu:
Harmonized Speculative Sampling. CoRR abs/2408.15766 (2024) - 2022
- [i1]Lefan Zhang, Zhang-Hao Tian, Wei Wang:
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss. CoRR abs/2211.10906 (2022)
Coauthor Index
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