Li, Yaliang

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 485

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the VLDB Endowment

Topic ModelingNatural Language Processing Techniques

Cited by 342

Towards Universal Sequence Representation Learning for Recommender Systems

Hou, Y., Mu, S., Zhao, W. X., Li, Y., Ding, B., & Wen, J.-R. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 313

Modeling Relation Paths for Knowledge Graph Completion

Shen, Y., Ding, N., Zheng, H.-T., Li, Y., & Yang, M. (2021) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksTopic Modeling

Cited by 153

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

Kuang, W., Qian, B., Li, Z., Chen, D., Gao, D., Pan, X., Xie, Y., Li, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Privacy-Preserving Technologies in DataTopic Modeling

Cited by 142

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Deng, Y., Li, Y., Sun, F., Ding, B., & Lam, W. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 136

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

Xie, Y., Wang, Z., Gao, D., Chen, D., Yao, L., Kuang, W., Li, Y., Ding, B., & Zhou, J. (2023) · Proceedings of the VLDB Endowment

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 84

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data

Zhang, H., Tian, C., Li, Y., Su, L., Yang, N., Zhao, W. X., & Gao, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 55

On the Generation of Medical Question-Answer Pairs

Shen, S., Li, Y., Du, N., Wu, X., Xie, Y., Ge, S., Yang, T., Wang, K., Liang, X., & Fan, W. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 25

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models

Ling, Z., Chen, D., Yao, L., Li, Y., & Shen, Y. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 21

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Xie, Y., Wang, Z., Li, Y., Ding, B., Gürel, N. M., Zhang, C., Huang, M., Lin, W., & Zhou, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 18

AgentScope: A Flexible yet Robust Multi-Agent Platform

Gao, D., Li, Z., Pan, X., Kuang, W., Ma, Z., Qian, B., Wei, F., Zhang, W., Xie, Y., Chen, D., et al. (2024) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 11

GenSim: A General Social Simulation Platform with Large Language Model based Agents

Tang, J., Gao, H., Pan, X., Wang, L., Tan, H., Gao, D., Chen, Y., Chen, X., Lin, Y., Li, Y., et al. (2024) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 1