Publications

(2022). Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. arXiv preprint arXiv:2202.10103.

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(2022). EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. arXiv preprint arXiv:2206.10558.

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(2022). Causal Representation Learning for Out-of-Distribution Recommendation. Proceedings of the ACM Web Conference 2022.

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(2022). $ O (N^ 2) $ Universal Antisymmetry in Fermionic Neural Networks. arXiv preprint arXiv:2205.13205.

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(2021). How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?. Advances in Neural Information Processing Systems.

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(2020). Online fast adaptation and knowledge accumulation: a new approach to continual learning. arXiv preprint arXiv:2003.05856.

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(2020). Continual Learning from the Perspective of Compression. arXiv preprint arXiv:2006.15078.

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(2019). Online continual learning with maximal interfered retrieval. Advances in neural information processing systems.

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(2019). On the spectral bias of neural networks. International Conference on Machine Learning.

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(2019). Gradient based sample selection for online continual learning. Advances in neural information processing systems.

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(2019). Conditional computation for continual learning. arXiv preprint arXiv:1906.06635.

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(2018). On the Spectral Bias of Deep Neural Networks..

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(2017). Softmax gan. arXiv preprint arXiv:1704.06191.

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(2016). NUS-PRO: A New Visual Tracking Challenge. IEEE transactions on pattern analysis and machine intelligence.

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(2015). Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems.

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(2015). HCP: A Flexible CNN Framework for Multi-label Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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(2014). Purine: A bi-graph based deep learning framework. International Conference on Learning Representations Workshop.

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(2014). Programming a Pavlovian-like conditioning circuit in Escherichia coli. Nature communications.

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(2013). Network In Network. International Conference on Learning Representations.

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(2013). Correntropy induced l2 graph for robust subspace clustering. Proceedings of the IEEE International Conference on Computer Vision.

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