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Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise


Nov 29, 2022
Jie Fu, Zhili Chen, Xiao Han

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SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing


Nov 14, 2022
Jie Fu, Zhili Chen, XinPeng Ling

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Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition


Nov 07, 2022
Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv

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* Findings of EMNLP 2022 

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HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models


Nov 05, 2022
Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Shi Wang, Anton Ragni, Jie Fu

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* Accepted at AACL 2022 as Long Findings 

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1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data


Nov 04, 2022
Adam Nik, Ge Zhang, Xingran Chen, Mingyu Li, Jie Fu

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* Paper from CASE workshop at EMNLP 2022 

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1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector


Oct 31, 2022
Xingran Chen, Ge Zhang, Adam Nik, Mingyu Li, Jie Fu

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* paper of CASE workshop in EMNLP 2022 

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Opportunistic Qualitative Planning in Stochastic Systems with Incomplete Preferences over Reachability Objectives


Oct 04, 2022
Abhishek N. Kulkarni, Jie Fu

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* 7 pages, 3 figures, under review for IEEE ACC 2023 

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Probabilistic Planning with Partially Ordered Preferences over Temporal Goals


Sep 25, 2022
Hazhar Rahmani, Abhishek N. Kulkarni, Jie Fu

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On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers


Sep 01, 2022
Jie Fu

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* 20 pages, 6 figures, Accepted by The 13th Conference on Decision and Game Theory for Security (GameSec-22) 

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Reinforcement Learning of a CPG-regulated Locomotion Controller for a Soft Snake Robot


Jul 11, 2022
Xuan Liu, Cagdas Onal, Jie Fu

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* 18 pages, 14 figures, 4 tables 

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