On the Spectral Efficiency of Massive MIMO Systems With Low-Resolution ADCs. - Jiayi Zhang 001; Linglong Dai; Shengyang Sun; Zhaocheng Wang 001 (IEEE Commun. Lett., 2016)

Learning Structured Weight Uncertainty in Bayesian Neural Networks. - Shengyang Sun; Changyou Chen; Lawrence Carin (AISTATS, 2017)

Implicit Variational Inference with Kernel Density Ratio Fitting. - Jiaxin Shi; Shengyang Sun; Jun Zhu 001 (CoRR, 2017)

ZhuSuan: A Library for Bayesian Deep Learning. - Jiaxin Shi; Jianfei Chen 001; Jun Zhu 001; Shengyang Sun; Yucen Luo; Yihong Gu; Yuhao Zhou (CoRR, 2017)

Kernel Implicit Variational Inference. - Jiaxin Shi; Shengyang Sun; Jun Zhu 001 (ICLR (Poster), 2018)

A Spectral Approach to Gradient Estimation for Implicit Distributions. - Jiaxin Shi; Shengyang Sun; Jun Zhu 001 (ICML, 2018)

Differentiable Compositional Kernel Learning for Gaussian Processes. - Shengyang Sun; Guodong Zhang 006; Chaoqi Wang; Wenyuan Zeng; Jiaman Li; Roger B. Grosse (ICML, 2018)

Noisy Natural Gradient as Variational Inference. - Guodong Zhang 006; Shengyang Sun; David Duvenaud; Roger B. Grosse (ICML, 2018)

Low-Consumption Neuromorphic Memristor Architecture Based on Convolutional Neural Networks. - Shengyang Sun; Jiwei Li; Zhiwei Li 008; Haijun Liu 003; Qingjiang Li; Hui Xu 010 (IJCNN, 2018)

Aggregated Momentum: Stability Through Passive Damping. - James Lucas; Shengyang Sun; Richard S. Zemel; Roger B. Grosse (ICLR (Poster), 2019)

Functional variational Bayesian Neural Networks. - Shengyang Sun; Guodong Zhang 006; Jiaxin Shi; Roger B. Grosse (ICLR (Poster), 2019)

Cascaded Neural Network for Memristor based Neuromorphic Computing. - Shengyang Sun; Hui Xu 010; Jiwei Li; Haijun Liu 003; Qingjiang Li (IJCNN, 2019)

Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes. - Jun Yang; Shengyang Sun; Daniel M. Roy 001 (NeurIPS, 2019)

Cascaded Architecture for Memristor Crossbar Array Based Larger-Scale Neuromorphic Computing. - Shengyang Sun; Hui Xu 010; Jiwei Li; Qingjiang Li; Haijun Liu 003 (IEEE Access, 2019)

Cases Study of Inputs Split Based Calibration Method for RRAM Crossbar. - Shengyang Sun; Hui Xu 010; Jiwei Li; Zhiwei Li 008; Yi Sun; Qingjiang Li; Haijun Liu 003 (IEEE Access, 2019)

A memristor-based convolutional neural network with full parallelization architecture. - Shengyang Sun; Zhiwei Li 008; Jiwei Li; Husheng Liu; Haijun Liu 003; Qingjiang Li (IEICE Electron. Express, 2019)

Quaternary synapses network for memristor-based spiking convolutional neural networks. - Shengyang Sun; Jiwei Li; Zhiwei Li 008; Husheng Liu; Haijun Liu 003; Qingjiang Li (IEICE Electron. Express, 2019)

Enhanced Spiking Neural Network with forgetting phenomenon based on electronic synaptic devices. - Jiwei Li; Hui Xu 010; Shengyang Sun; Sen Liu 006; Nan Li 020; Qingjiang Li; Haijun Liu 003; Zhiwei Li 008 (Neurocomputing, 2020)

Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? - Chaoqi Wang; Shengyang Sun; Roger B. Grosse (AISTATS, 2021)

Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. - Shengyang Sun; Jiaxin Shi; Andrew Gordon Wilson; Roger B. Grosse (ICML, 2021)

In-situ learning in multilayer locally-connected memristive spiking neural network. - Jiwei Li; Hui Xu 010; Shengyang Sun; Zhiwei Li 008; Qingjiang Li; Haijun Liu 003; Nan Li 020 (Neurocomputing, 2021)

Binary Memristive Synapse Based Vector Neural Network Architecture and Its Application. - Haijun Liu 003; Shengyang Sun; Jianjun Liu; Qingjiang Li; Jietao Diao; Zhiwei Li 008 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Understanding the Variance Collapse of SVGD in High Dimensions. - Jimmy Ba; Murat A. Erdogdu; Marzyeh Ghassemi; Shengyang Sun; Taiji Suzuki; Denny Wu; Tianzong Zhang (ICLR, 2022)

Information-theoretic Online Memory Selection for Continual Learning. - Shengyang Sun; Daniele Calandriello; Huiyi Hu; Ang Li; Michalis K. Titsias (ICLR, 2022)

In Situ Learning in Hardware Compatible Multilayer Memristive Spiking Neural Network. - Jiwei Li; Hui Xu 010; Shengyang Sun; Nan Li 020; Qingjiang Li; Zhiwei Li 008; Haijun Liu 003 (IEEE Trans. Cogn. Dev. Syst., 2022)

Function-Space Bayesian Learning: from Gaussian Processes to Bayesian Deep Learning - Shengyang Sun (2022)

Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection. - Shengyang Sun; Xiaojin Gong (CVPR, 2023)

Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection. - Shengyang Sun; Xiaojin Gong (ICME, 2023)

Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection. - Shengyang Sun; Xiaojin Gong (ICME, 2024)

TDSD: Text-Driven Scene-Decoupled Weakly Supervised Video Anomaly Detection. - Shengyang Sun; Jiashen Hua; Junyi Feng; Dongxu Wei; Baisheng Lai; Xiaojin Gong (ACM Multimedia, 2024)

NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. - 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; et al. (CoRR, 2024)

Nemotron-4 340B Technical Report. - 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; et al. (CoRR, 2024)

Event-driven weakly supervised video anomaly detection. - Shengyang Sun; Xiaojin Gong (Image Vis. Comput., 2024)

Activity-based capability updating method for task assignment in mobile crowdsensing. - Xiao Zhu; Wenming Ma; Xiangling Wu; Shengyang Sun; Xiaoang Zhu (Comput. Networks, 2025)

A Pareto-based genetic algorithm for online task allocation in mobile crowdsensing. - Xiangling Wu; Wenming Ma; Xiao Zhu; Shengyang Sun; Xiaoang Zhu (Comput. Commun., 2025)

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. - Shengyang Sun; Yian Zhang; Alexander Bukharin; David Mosallanezhad; Jiaqi Zeng; Soumye Singhal; Gerald Shen; Adithya Renduchintala; Tugrul Konuk; Yi Dong; Zhilin Wang; Dmitry Chichkov; et al. (CoRR, 2025)

Adversarial Training of Reward Models. - Alexander Bukharin; Haifeng Qian; Shengyang Sun; Adithya Renduchintala; Soumye Singhal; Zhilin Wang; Oleksii Kuchaiev; Olivier Delalleau; Tuo Zhao (CoRR, 2025)

Delving Into Instance Modeling for Weakly Supervised Video Anomaly Detection. - Shengyang Sun; Jiashen Hua; Junyi Feng; Dongxu Wei; Baisheng Lai; Xiaojin Gong (IEEE Trans. Circuits Syst. Video Technol., 2025)