Shangyu Chen

According to our database, Shangyu Chen authored at least 25 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan.

Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, Menglei Zhou, Lei Yu, Chuan Liu, Wei Lin

CoRR, May, 2025

MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan.

Yuxiang Wang, Xiao Yan, Chi Ma, Mincong Huang, Xiaoguang Li, Lei Yu, Chuan Liu, Ruidong Han, He Jiang, Bin Yin, Shangyu Chen, Fei Jiang, Xiang Li, Wei Lin, Haowei Han, Bo Du, Jiawei Jiang

CoRR, May, 2025

IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System.

Shangyu Chen, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Wei Lin

CoRR, April, 2025

HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization.

Shangyu Chen, Pengfei Fang, Mehrtash Harandi, Trung Le, Jianfei Cai, Dinh Q. Phung

Comput. Vis. Image Underst., 2025

PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction.

Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Q. Phung

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space.

Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Apollonion: Profile-centric Dialog Agent.

Shangyu Chen, Zibo Zhao, Yuanyuan Zhao, Xiang Li

CoRR, 2024

Neural Topic Model with Distance Awareness.

Shangyu Chen, He Zhao, Viet H. Huynh, Dinh Q. Phung, Jianfei Cai

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space.

Shangyu Chen, Xiaohao Yang, Pengfei Fang, Mehrtash Tafazzoli Harandi, Dinh Q. Phung, Jianfei Cai

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2022

Defending Adversarial Attacks via Semantic Feature Manipulation.

Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An

IEEE Trans. Serv. Comput., 2022

Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models.

Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen

IEEE Trans. Serv. Comput., 2022

2021

Deep neural network compression : from sufficient to scarce data

Shangyu Chen

PhD thesis, 2021

2020

Adversarial Defense by Latent Style Transformations.

Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen

CoRR, 2020

Defending Adversarial Attacks via Semantic Feature Manipulation.

Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen

CoRR, 2020

Generating Semantic Adversarial Examples via Feature Manipulation.

Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

CoRR, 2020

Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer.

Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning.

Jianda Chen, Shangyu Chen, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning.

Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

PART-GAN: Privacy-Preserving Time-Series Sharing.

Shuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cooperative Pruning in Cross-Domain Deep Neural Network Compression.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Parametric Canonical Correlation Analysis.

Shangyu Chen, Shuo Wang, Richard O. Sinnott

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon.

Xin Dong, Shangyu Chen, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Torchless: Asymmetry in a Shared Screen Dungeon Crawler.

Timothy Day, Robert C. Gray, Weicheng Liu, Stefan Rank, Patrick Dean, Shangyu Chen, Juan Garzón

Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, 2016