Siqiao Xue

Orcid: 0000-0002-0291-6536

According to our database1, Siqiao Xue authored at least 27 papers between 2021 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models.
CoRR, 2024

Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models.
CoRR, 2024

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DB-GPT: Empowering Database Interactions with Private Large Language Models.
CoRR, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.
CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR, 2023

Deep Optimal Timing Strategies for Time Series.
CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.
CoRR, 2023

Leveraging Large Language Models for Pre-trained Recommender Systems.
CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.
CoRR, 2023

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.
CoRR, 2023

Continual Learning in Predictive Autoscaling.
CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.
CoRR, 2023

Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction.
CoRR, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
CoRR, 2023

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.
Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Learning in Predictive Autoscaling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Large-scale Universal User Representation with Sparse Mixture of Experts.
CoRR, 2022

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
A Graph Regularized Point Process Model For Event Propagation Sequence.
Proceedings of the International Joint Conference on Neural Networks, 2021


  Loading...