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ORCIDShengyang Sun
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2020 – today
- 2024
[j10]Shengyang Sun, Xiaojin Gong:
Event-driven weakly supervised video anomaly detection. Image Vis. Comput. 149: 105169 (2024)- [c18]Shengyang Sun, Xiaojin Gong:
Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection. ICME 2024: 1-6 - [c17]Shengyang Sun
, Jiashen Hua, Junyi Feng, Dongxu Wei, Baisheng Lai, Xiaojin Gong:
TDSD: Text-Driven Scene-Decoupled Weakly Supervised Video Anomaly Detection. ACM Multimedia 2024: 5055-5064 - [i16]Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev:
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR abs/2405.01481 (2024) - [i15]Shengyang Sun, Xiaojin Gong:
Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection. CoRR abs/2405.05130 (2024) - [i14]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - 2023
- [c16]Shengyang Sun, Xiaojin Gong:
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection. CVPR 2023: 22846-22856 - [c15]Shengyang Sun, Xiaojin Gong:
Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection. ICME 2023: 2711-2716 - [i13]Shengyang Sun, Xiaojin Gong:
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection. CoRR abs/2303.13051 (2023) - [i12]Shengyang Sun, Xiaojin Gong:
Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection. CoRR abs/2303.18044 (2023) - 2022
- [j9]Jiwei Li, Hui Xu, Shengyang Sun, Nan Li, Qingjiang Li, Zhiwei Li, Haijun Liu:
In Situ Learning in Hardware Compatible Multilayer Memristive Spiking Neural Network. IEEE Trans. Cogn. Dev. Syst. 14(2): 448-461 (2022) - [c14]Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang:
Understanding the Variance Collapse of SVGD in High Dimensions. ICLR 2022 - [c13]Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis K. Titsias:
Information-theoretic Online Memory Selection for Continual Learning. ICLR 2022 - [i11]Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis K. Titsias:
Information-theoretic Online Memory Selection for Continual Learning. CoRR abs/2204.04763 (2022) - 2021
- [j8]Jiwei Li, Hui Xu, Shengyang Sun, Zhiwei Li, Qingjiang Li, Haijun Liu, Nan Li:
In-situ learning in multilayer locally-connected memristive spiking neural network. Neurocomputing 463: 251-264 (2021) - [j7]Haijun Liu, Shengyang Sun, Jianjun Liu, Qingjiang Li, Jietao Diao, Zhiwei Li:
Binary Memristive Synapse Based Vector Neural Network Architecture and Its Application. IEEE Trans. Circuits Syst. II Express Briefs 68(2): 772-776 (2021) - [c12]Chaoqi Wang, Shengyang Sun, Roger B. Grosse:
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021: 2476-2484 - [c11]Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse:
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. ICML 2021: 9955-9965 - [i10]Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse:
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. CoRR abs/2106.05992 (2021) - 2020
- [j6]Jiwei Li, Hui Xu, Shengyang Sun, Sen Liu, Nan Li, Qingjiang Li, Haijun Liu, Zhiwei Li:
Enhanced Spiking Neural Network with forgetting phenomenon based on electronic synaptic devices. Neurocomputing 408: 21-30 (2020) - [i9]Chaoqi Wang, Shengyang Sun, Roger B. Grosse:
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? CoRR abs/2011.03178 (2020)
2010 – 2019
- 2019
- [j5]Shengyang Sun, Hui Xu, Jiwei Li, Qingjiang Li, Haijun Liu:
Cascaded Architecture for Memristor Crossbar Array Based Larger-Scale Neuromorphic Computing. IEEE Access 7: 61679-61688 (2019) - [j4]Shengyang Sun, Hui Xu, Jiwei Li, Zhiwei Li, Yi Sun, Qingjiang Li, Haijun Liu:
Cases Study of Inputs Split Based Calibration Method for RRAM Crossbar. IEEE Access 7: 141792-141800 (2019) - [j3]Shengyang Sun, Zhiwei Li, Jiwei Li, Husheng Liu, Haijun Liu, Qingjiang Li:
A memristor-based convolutional neural network with full parallelization architecture. IEICE Electron. Express 16(3): 20181034 (2019) - [j2]Shengyang Sun, Jiwei Li, Zhiwei Li, Husheng Liu, Haijun Liu, Qingjiang Li:
Quaternary synapses network for memristor-based spiking convolutional neural networks. IEICE Electron. Express 16(5): 20190004 (2019) - [c10]James Lucas, Shengyang Sun, Richard S. Zemel, Roger B. Grosse:
Aggregated Momentum: Stability Through Passive Damping. ICLR (Poster) 2019 - [c9]Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional variational Bayesian Neural Networks. ICLR (Poster) 2019 - [c8]Shengyang Sun, Hui Xu, Jiwei Li, Haijun Liu, Qingjiang Li:
Cascaded Neural Network for Memristor based Neuromorphic Computing. IJCNN 2019: 1-6 - [c7]Jun Yang, Shengyang Sun, Daniel M. Roy:
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes. NeurIPS 2019: 10802-10812 - [i8]Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional Variational Bayesian Neural Networks. CoRR abs/1903.05779 (2019) - [i7]Jun Yang, Shengyang Sun, Daniel M. Roy:
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes. CoRR abs/1908.07585 (2019) - 2018
- [c6]Jiaxin Shi, Shengyang Sun, Jun Zhu:
Kernel Implicit Variational Inference. ICLR (Poster) 2018 - [c5]Jiaxin Shi, Shengyang Sun, Jun Zhu:
A Spectral Approach to Gradient Estimation for Implicit Distributions. ICML 2018: 4651-4660 - [c4]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. ICML 2018: 4835-4844 - [c3]Guodong Zhang, Shengyang Sun, David Duvenaud, Roger B. Grosse:
Noisy Natural Gradient as Variational Inference. ICML 2018: 5847-5856 - [c2]Shengyang Sun, Jiwei Li, Zhiwei Li, Haijun Liu, Qingjiang Li, Hui Xu:
Low-Consumption Neuromorphic Memristor Architecture Based on Convolutional Neural Networks. IJCNN 2018: 1-6 - [i6]Jiaxin Shi, Shengyang Sun, Jun Zhu:
A Spectral Approach to Gradient Estimation for Implicit Distributions. CoRR abs/1806.02925 (2018) - [i5]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR abs/1806.04326 (2018) - 2017
- [c1]Shengyang Sun, Changyou Chen, Lawrence Carin:
Learning Structured Weight Uncertainty in Bayesian Neural Networks. AISTATS 2017: 1283-1292 - [i4]Jiaxin Shi, Shengyang Sun, Jun Zhu:
Implicit Variational Inference with Kernel Density Ratio Fitting. CoRR abs/1705.10119 (2017) - [i3]Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou:
ZhuSuan: A Library for Bayesian Deep Learning. CoRR abs/1709.05870 (2017) - [i2]Guodong Zhang, Shengyang Sun, David Duvenaud, Roger B. Grosse:
Noisy Natural Gradient as Variational Inference. CoRR abs/1712.02390 (2017) - 2016
- [j1]Jiayi Zhang, Linglong Dai, Shengyang Sun, Zhaocheng Wang:
On the Spectral Efficiency of Massive MIMO Systems With Low-Resolution ADCs. IEEE Commun. Lett. 20(5): 842-845 (2016) - 2015
- [i1]Jiayi Zhang, Linglong Dai, Shengyang Sun, Zhaocheng Wang:
On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs. CoRR abs/1512.00142 (2015)
Coauthor Index
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