Li Ding

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization

Dec 13, 2022
Chao Chen, Xinhao Liu, Yiming Li, Li Ding, Chen Feng

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Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits

Aug 23, 2022
Li Ding, Lee Spector

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* Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion (pp. 2190-2195)

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Lexicase Selection at Scale

Aug 23, 2022
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector

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* Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion (pp. 2054-2062)

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Self-Supervised Visual Place Recognition by Mining Temporal and Feature Neighborhoods

Aug 19, 2022
Chao Chen, Xinhao Liu, Xuchu Xu, Yiming Li, Li Ding, Ruoyu Wang, Chen Feng

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Halftoning with Multi-Agent Deep Reinforcement Learning

Jul 23, 2022
Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Aiguo Yin, Li Ding, Kai Huang

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* ICIP 2022

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Evolving Neural Selection with Adaptive Regularization

Apr 04, 2022
Li Ding, Lee Spector

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* Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1717-1725). 2021

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Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework

Jul 31, 2021
Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang

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* To be publish in ACM MM 2021

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Deep Weakly Supervised Positioning

Apr 10, 2021
Ruoyu Wang, Xuchu Xu, Li Ding, Yang Huang, Chen Feng

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* 8 pages, 8 figures, submitted to IEEE Robotics and Automation Letters (RA-L) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

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Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection

Oct 29, 2020
Yongwei Wang, Xin Ding, Li Ding, Rabab Ward, Z. Jane Wang

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Object as Distribution

Jul 25, 2019
Li Ding, Lex Fridman

* NeurIPS 2019

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