O Li, J Sun, W Gao, H Zhang, X Yang, J Xie, C Wang
ICLR 2022, 2020
TL;DR: Demonstrates gradient inversion label leakage in vertical split learning and designs the Marvell noise defense mechanism to preserve privacy without degrading utility.
#Split Learning#Label Leakage#Gradient Defense
L Yang, S Wang, Y Tao, J Sun, X Liu, PS Yu, T Wang
Proceedings of the sixteenth ACM international conference on web search and …, 2023
TL;DR: Diversified graph embedding generation for mitigating filter bubbles in user-item recommendation graphs.
#Graph Neural Networks#Embedding Diversification#RecSys
P Cheng, S Wang, J Ma, J Sun, H Xiong
Proceedings of the 26th international conference on World Wide Web, 183-192, 2017
J Liang, P Jacobs, J Sun, S Parthasarathy
Proceedings of the 2018 SIAM international conference on data mining, 153-161, 2018
W Gao, X Fan, C Wang, J Sun, K Jia, W Xiao, R Ding, X Bin, H Yang, X Liu
Proceedings of the 30th ACM international conference on information …, 2021
#Retrieval Indexing#End-to-End Learning#Recommendation Systems
J Sun, B Bandyopadhyay, A Bashizade, J Liang, P Sadayappan, ...
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2018
TL;DR: Preserves high-order directed reachability and transitivity via asymmetric non-linear dual-vector projections.
#Directed Graph Embedding#Asymmetric Transitivity#Non-linear Mapping
S Wang, J Sun, BJ Gao, J Ma
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (3), 1-24, 2014
#Collaborative Filtering#Ranking Optimization#Vector Space Model
J Sun, D Ajwani, PK Nicholson, A Sala, S Parthasarathy
Proceedings of the 2017 ACM on web science conference, 151-160, 2017
TL;DR: Approximation algorithm resolving minimal feedback arc sets in web and noisy social hierarchies.
#Noisy Hierarchies#Cycle Breaking#Social Graphs
X Yang, J Sun, Y Yao, J Xie, C Wang
arXiv preprint arXiv:2203.02073, 2022
J Sun, X Yang, Y Yao, C Wang
arXiv preprint arXiv:2203.01451, 2022
J Sun, X Yang, Y Yao, A Zhang, W Gao, J Xie, C Wang
arXiv preprint arXiv:2106.05508, 2021
Z Zhu, Y Yao, J Sun, H Li, Y Liu
International Conference on Machine Learning, 43258-43288, 2023
TL;DR: Proves that weak proxy representations achieve Pareto-optimal algorithmic fairness when sensitive attributes are unobserved.
#AI Fairness#Weak Proxies#Sensitive Attributes
X Hu, K Kuang, J Sun, H Yang, F Wu
arXiv preprint arXiv:2401.05319, 2024
TL;DR: Proposes LDB (Large Language Model Debugger), enabling LLMs to segment, trace, and verify variable execution states like human developers.
#LLM Code Generation#Print Debugging#Self-Refinement
J Sun, Y Yao, W Gao, J Xie, C Wang
FL-ICML 2021, 2021
#Vertical FedLearning#Reconstruction Attack#Feature Encryption
J Sun, S Wang, BJ Gao, J Ma
Proceedings of the 21st ACM international conference on Information and …, 2012
#Hybrid Recommendations#Learning to Rank#Feature Fusion
J Sun, S Moosavi, R Ramnath, S Parthasarathy
The International AAAI Conference on Web and Social Media (ICWSM 2018), 2018
S Wang, J Sun, BJ Gao, J Ma
Proceedings of the 21st ACM international conference on Information and …, 2012
#Vector Space Model#CF Ranking#Implicit Feedback
J Sun, J Zhao, H Sun, S Parthasarathy
The Twenty-Ninth International Joint Conferences on Artificial Intelligence …, 2020
M Xu, J Sun, X Yang, K Yao, C Wang
arXiv preprint arXiv:2302.06676, 2023
TL;DR: Provable exact machine unlearning algorithm removing user interaction data from bilinear recommendation models with minimal retraining.
#Machine Unlearning#Recommendation Privacy#Bi-linear Models
J Sun, A Vishnu, A Chakrabarti, C Siegel, S Parthasarathy
Data mining and knowledge discovery 32 (5), 1339-1367, 2018
#Cold-Start Routing#Factorization Machines#Stack Exchange
S Xie, X Yang, Y Yao, T Liu, T Wang, J Sun
arXiv preprint arXiv:2301.07284, 2023
J Sun, X Yang, Y Yao, J Xie, D Wu, C Wang
The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023 …, 2022
TL;DR: Formulates differentially private pairwise ranking loss optimization with DP-SGD for cross-silo advertising conversion.
#Federated Learning#Differential Privacy#AUC Optimization
X Wan, J Sun, S Wang, L Chen, Z Zheng, F Wu, G Chen
Proceedings of the 32nd ACM International Conference on Information and …, 2023
TL;DR: Proposes perturbation mechanisms for intermediate representations to neutralize gradient inversion attacks in split networks.
#Split Learning#Adversarial Defense#Feature Obfuscation
J Sun, X Yang, Y Yao, J Xie, D Wu, C Wang
arXiv preprint arXiv:2205.12412, 2022
K Li, X Chen, L Leng, J Xu, J Sun, B Rezaei
Proceedings of the 18th ACM Conference on Recommender Systems, 819-822, 2024
TL;DR: Architects an end-to-end framework enabling multi-party ad attribution and CTR modeling within secure clean rooms.
#Data Clean Room#Privacy-Preserving ML#Conversion Modeling
X Chen, J Sun, T Wang, R Guo, LP Liu, A Zhang
Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023
TL;DR: Graph topological subsampling enabling extreme throughput and training speedup on massive recommender datasets.
#Graph Subsampling#Efficiency#Recommendation Scale
R Wu, X Yang, Y Yao, J Sun, T Liu, KQ Weinberger, C Wang
arXiv preprint arXiv:2206.07998, 2022
M Xu, J Sun, X Yang, Y Yao, C Wang
NeurIPS ML Safety Workshop, 2022
J Sun, S Parthasarathy
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2018
J Liu, Y Li, J Sun, K Li, H Sun, S Wang, H Wu, S Gao, P Soares, N Li, Z Liu, ...
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 940-944, 2025
TL;DR: Decouples query and pin entity embeddings to scale real-time retrieval across billions of candidates in Pinterest Ads.
#Ads Ranking#Decoupled Representation#Large-Scale RecSys
Z Zhu, Y Yao, J Sun, Y Liu, H Li
J Sun
The Ohio State University, 2019
SUN Jiankai, X Xu, X Yang, Y Yao, C Wang
US Patent 12,670,435, 2026
A Zhang, SUN Jiankai, R Guo, W Taiqing, X Chen
US Patent 12,651,208, 2026
SUN Jiankai, X Yang, A Zhang, GAO Weihao, J Xie, C Wang
US Patent 12,455,972, 2025
SUN Jiankai, X Yang, C Wang, J Xie, D Wu
US Patent App. 18/865,581, 2025
X Yang, Y Yao, T Liu, J SUN, C Wang, R Wu
US Patent 12,423,463, 2025
SUN Jiankai, GAO Weihao
US Patent App. 18/565,015, 2024
X Yang, J Xie, Y Yao, C Wang
US Patent App. 18/539,851, 2024
SUN Jiankai, GAO Weihao, LIU Xiaobing, LI Runliang
US Patent App. 18/252,559, 2024
GAO Weihao, FAN Xiangjun, SUN Jiankai, LIU Xiaobing
US Patent 11,763,204, 2023
SUN Jiankai, X Yang, Y Yao, J Xie, C Wang
US Patent 12,688,322, 2026
SUN Jiankai, X Yang, C Wang, J Xie, D Wu
US Patent App. 18/865,611, 2025
SUN Jiankai, X Yang, C Wang, J Xie, D Wu
US Patent App. 18/839,702, 2025
XU Anran, S Wang, L Chen, S Li, SUN Jiankai, Z ZHENG, F Wu
US Patent App. 18/623,714, 2024
X Yang, SUN Jiankai, GAO Weihao, J Xie, C Wang
US Patent App. 18/565,000, 2024
X Yang, ZHU Hanlin, T Liu, SUN Jiankai, Y Yao, A Zhang, C Wang
US Patent App. 17/953,255, 2024
XIE Shangyu, SUN Jiankai, W Taiqing
US Patent App. 18/149,462, 2023
Y Liangwei, S Wang, Y Tao, SUN Jiankai, W Taiqing
US Patent App. 17/985,788, 2023
SUN Jiankai, GAO Weihao, LIU Xiaobing
US Patent App. 17/816,250, 2022