# Publications

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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