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Kai Zheng
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On layer normalization in the transformer architecture
R Xiong, Y Yang, D He, K Zheng, S Zheng, C Xing, H Zhang, Y Lan, ...
International Conference on Machine Learning, 10524-10533, 2020
10242020
Efficient private ERM for smooth objectives
J Zhang, K Zheng, W Mou, L Wang
arXiv preprint arXiv:1703.09947, 2017
1562017
Generalization bounds of sgld for non-convex learning: Two theoretical viewpoints
W Mou, L Wang, X Zhai, K Zheng
Conference on Learning Theory, 605-638, 2018
1522018
Locally differentially private (contextual) bandits learning
K Zheng, T Cai, W Huang, Z Li, L Wang
Advances in Neural Information Processing Systems 33, 12300-12310, 2020
612020
Efficient online portfolio with logarithmic regret
H Luo, CY Wei, K Zheng
Advances in neural information processing systems 31, 2018
602018
Collect at once, use effectively: Making non-interactive locally private learning possible
K Zheng, W Mou, L Wang
International Conference on Machine Learning, 4130-4139, 2017
502017
Multi-behavior self-supervised learning for recommendation
J Xu, C Wang, C Wu, Y Song, K Zheng, X Wang, C Wang, G Zhou, K Gai
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
232023
Combinatorial semi-bandit in the non-stationary environment
W Chen, L Wang, H Zhao, K Zheng
Uncertainty in Artificial Intelligence, 865-875, 2021
222021
Graph contrastive learning with generative adversarial network
C Wu, C Wang, J Xu, Z Liu, K Zheng, X Wang, Y Song, K Gai
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
192023
Equipping experts/bandits with long-term memory
K Zheng, H Luo, I Diakonikolas, L Wang
Advances in Neural Information Processing Systems 32, 2019
192019
Instant Representation Learning for Recommendation over Large Dynamic Graphs
C Wu, C Wang, J Xu, Z Fang, T Gu, C Wang, Y Song, K Zheng, X Wang, ...
2023 IEEE 39th International Conference on Data Engineering (ICDE), 82-95, 2023
62023
(Locally) differentially private combinatorial semi-bandits
X Chen, K Zheng, Z Zhou, Y Yang, W Chen, L Wang
International Conference on Machine Learning, 1757-1767, 2020
42020
Twin v2: Scaling ultra-long user behavior sequence modeling for enhanced ctr prediction at kuaishou
Z Si, L Guan, ZX Sun, X Zang, J Lu, Y Hui, X Cao, Z Yang, Y Zheng, ...
Proceedings of the 33rd ACM International Conference on Information and …, 2024
32024
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
W Li, R Huang, H Zhao, C Liu, K Zheng, Q Liu, N Mou, G Zhou, D Lian, ...
arXiv preprint arXiv:2408.12153, 2024
32024
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
K Zheng, H Zhao, R Huang, B Zhang, N Mou, Y Niu, Y Song, H Wang, ...
Proceedings of the ACM on Web Conference 2024, 3621-3631, 2024
32024
Large Language Models Enhanced Collaborative Filtering
Z Sun, Z Si, X Zang, K Zheng, Y Song, X Zhang, J Xu
Proceedings of the 33rd ACM International Conference on Information and …, 2024
22024
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation
Z Liu, C Wang, J Xu, C Wu, K Zheng, Y Song, N Mou, K Gai
arXiv preprint arXiv:2306.04095, 2023
22023
Incorporating dynamic temperature estimation into contrastive learning on graphs
Z Liu, C Wang, L Yang, Y Lou, H Feng, C Wu, K Zheng, Y Song
2024 IEEE 40th International Conference on Data Engineering (ICDE), 2889-2903, 2024
12024
RecFlow: An Industrial Full Flow Recommendation Dataset
Q Liu, K Zheng, R Huang, W Li, K Cai, Y Chai, Y Niu, Y Hui, B Han, N Mou, ...
arXiv preprint arXiv:2410.20868, 2024
2024
UniSAR: Modeling User Transition Behaviors between Search and Recommendation
T Shi, Z Si, J Xu, X Zhang, X Zang, K Zheng, D Leng, Y Niu, Y Song
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
2024
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