Caigao Jiang

According to our database, Caigao Jiang authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

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

Siqiao Xue, Danrui Qi, Caigao Jiang, Fangyin Cheng, Keting Chen, Zhiping Zhang, Hongyang Zhang, Ganglin Wei, Wang Zhao, Fan Zhou, Hong Yi, Shaodong Liu, Hongjun Yang, Faqiang Chen

Proc. VLDB Endow., August, 2024

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning.

Yi Huang, Fangyin Cheng, Fan Zhou, Jiahui Li, Jian Gong, Hongjun Yang, Zhidong Fan, Caigao Jiang, Siqiao Xue, Faqiang Chen

CoRR, 2024

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.

Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu

CoRR, 2024

Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.

Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei

CoRR, 2024

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

Siqiao Xue, Danrui Qi, Caigao Jiang, Wenhui Shi, Fangyin Cheng, Keting Chen, Hongjun Yang, Zhiping Zhang, Jianshan He, Hongyang Zhang, Ganglin Wei, Wang Zhao, Fan Zhou, Hong Yi, Shaodong Liu, Hongjun Yang, Faqiang Chen

CoRR, 2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes.

Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Event Sequence Modeling with Contrastive Relational Inference.

Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

Siqiao Xue, Caigao Jiang, Wenhui Shi, Fangyin Cheng, Keting Chen, Hongjun Yang, Zhiping Zhang, Jianshan He, Hongyang Zhang, Ganglin Wei, Wang Zhao, Fan Zhou, Danrui Qi, Hong Yi, Shaodong Liu, Faqiang Chen

CoRR, 2023

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

Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian, Ying Wei

CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou

CoRR, 2023

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

Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Y. Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei

CoRR, 2023

Continual Learning in Predictive Autoscaling.

Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.

Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou

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.

Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.

Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Learning in Predictive Autoscaling.

Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao

CoRR, 2022

2021

Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space.

Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong

CoRR, 2021