Shangyu Chen - RankMe

32 papers A* 5A 1B 1C 1Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan. KDD (1) Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang
2025	J	`jnl`	Delta-SVD: Efficient Compression for Personalized Text-to-Image Models. CoRR Tangyuan Zhang, Shangyu Chen, Qixiang Chen, Jianfei Cai
2025	J	`jnl`	HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization. Comput. Vis. Image Underst. Shangyu Chen, Pengfei Fang, Mehrtash Harandi, Trung Le, Jianfei Cai, Dinh Q. Phung
2025	J	`jnl`	IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System. CoRR Shangyu Chen, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Wei Lin
2025	A	`conf`	MTGR: Industrial-Scale Generative Recommendation Framework in Meituan. CIKM 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
2025	J	`jnl`	MTGR: Industrial-Scale Generative Recommendation Framework in Meituan. CoRR 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
2025	J	`jnl`	MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan. CoRR 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
2025	A*	`conf`	PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction. ICLR Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Q. Phung
2024	J	`jnl`	Apollonion: Profile-centric Dialog Agent. CoRR Shangyu Chen, Zibo Zhao, Yuanyuan Zhao, Xiang Li
2024	J	`jnl`	Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space. IEEE Trans. Neural Networks Learn. Syst. Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2024	—	`conf`	Neural Topic Model with Distance Awareness. ICPR (9) Shangyu Chen, He Zhao, Viet H. Huynh, Dinh Q. Phung, Jianfei Cai
2024	J	`jnl`	PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction. CoRR Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Q. Phung
2024	—	`conf`	Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space. ICPR (9) Shangyu Chen, Xiaohao Yang, Pengfei Fang, Mehrtash Tafazzoli Harandi, Dinh Q. Phung, Jianfei Cai
2022	J	`jnl`	Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models. IEEE Trans. Serv. Comput. Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
2022	J	`jnl`	Defending Adversarial Attacks via Semantic Feature Manipulation. IEEE Trans. Serv. Comput. Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An
2021	—	`—`	Deep neural network compression : from sufficient to scarce data Shangyu Chen
2020	J	`jnl`	Adversarial Defense by Latent Style Transformations. CoRR Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen
2020	J	`jnl`	Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. CoRR Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
2020	J	`jnl`	Defending Adversarial Attacks via Semantic Feature Manipulation. CoRR Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen
2020	J	`jnl`	Generating Semantic Adversarial Examples via Feature Manipulation. CoRR Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	B	`conf`	OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. IJCNN Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	J	`jnl`	OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. CoRR Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler
2020	—	`conf`	PART-GAN: Privacy-Preserving Time-Series Sharing. ICANN (1) Shuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen
2020	—	`conf`	Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	A*	`conf`	Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. NeurIPS Jianda Chen, Shangyu Chen, Sinno Jialin Pan
2019	A*	`conf`	Cooperative Pruning in Cross-Domain Deep Neural Network Compression. IJCAI Shangyu Chen, Wenya Wang, Sinno Jialin Pan
2019	A*	`conf`	Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. AAAI Shangyu Chen, Wenya Wang, Sinno Jialin Pan
2019	A*	`conf`	MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. NeurIPS Shangyu Chen, Wenya Wang, Sinno Jialin Pan
2019	C	`conf`	Parametric Canonical Correlation Analysis. CloudCom Shangyu Chen, Shuo Wang, Richard O. Sinnott
2017	—	`conf`	Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. NIPS Xin Dong, Shangyu Chen, Sinno Jialin Pan
2017	J	`jnl`	Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. CoRR Xin Dong, Shangyu Chen, Sinno Jialin Pan
2016	—	`conf`	Torchless: Asymmetry in a Shared Screen Dungeon Crawler. CHI PLAY (Companion) Timothy Day, Robert C. Gray, Weicheng Liu, Stefan Rank, Patrick Dean, Shangyu Chen, Juan Garzón