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Kexin Nie
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2020 – today
- 2024
- [c7]Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) 2024: 755-762 - [c6]Ziqi Wang, Mengyao Guo, Yikun Fang, Kexin Nie, Hanbing Wang, Xingzhi Shi, Yifan Li, Ze Gao:
Wings of Imagination: Strengthening Avian Embodiment and Flight Immersion in Virtual Reality Through Multisensory Haptic Feedback. HCI (36) 2024: 411-432 - [c5]Yongquan Hu, Dongsheng Zheng, Kexin Nie, Junyan Zhang, Wen Hu, Aaron J. Quigley:
Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing. ISMAR-Adjunct 2024: 427-428 - [c4]Kexin Nie, Mengyao Guo:
Flying Your Imagination: Integrating AI in VR for Kite Heritage. SIGGRAPH Asia Posters 2024: 30:1-30:2 - [c3]Zhiwei Wang, Yuzhe Xia, Kexin Nie, Mengyao Guo:
Alive Yi: Interactive Preservation of Yi Minority Embroidery Patterns through Digital Innovation. SIGGRAPH Asia Posters 2024: 106:1-106:2 - [i1]Kun Yue, Mingshan Zhang, Jingruo Chen, Chun Yu, Kexin Nie, Zhiqi Gao, Jinghan Yang, Chen Liang, Yuanchun Shi:
SituFont: A Just-in-Time Adaptive Intervention System for Enhancing Mobile Readability in Situational Visual Impairments. CoRR abs/2410.09562 (2024) - 2020
- [c2]Ruoying Wang, Kexin Nie, Yen-Jung Chang, Xinwei Gong, Tie Wang, Yang Yang, Bo Long:
Deep Learning for Anomaly Detection. KDD 2020: 3569-3570 - [c1]Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long:
Deep Learning for Anomaly Detection. WSDM 2020: 894-896
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last updated on 2024-12-11 21:39 CET by the dblp team
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