Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space. - Huiru Xiao; Caigao Jiang; Yangqiu Song; James Zhang; Junwu Xiong (CoRR, 2021)

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)

Continual Learning in Predictive Autoscaling. - Hongyan Hao; Zhixuan Chu; Shiyi Zhu; Gangwei Jiang; Yan Wang 002; Caigao Jiang; James Y. Zhang; Wei Jiang; Siqiao Xue; Jun Zhou 011 (CIKM, 2023)

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. - Gangwei Jiang; Caigao Jiang; Siqiao Xue; James Zhang; Jun Zhou 011; Defu Lian; Ying Wei 001 (EMNLP (Findings), 2023)

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. - Yan Wang 002; Zhixuan Chu; Tao Zhou; Caigao Jiang; Hongyan Hao; Minjie Zhu; Xindong Cai; Qing Cui; Longfei Li; James Y. Zhang; Siqiao Xue; Jun Zhou 011 (ICDM (Workshops), 2023)

Prompt-augmented Temporal Point Process for Streaming Event Sequence. - Siqiao Xue; Yan Wang 002; Zhixuan Chu; Xiaoming Shi 001; Caigao Jiang; Hongyan Hao; Gangwei Jiang; Xiaoyun Feng; James Zhang; Jun Zhou 011 (NeurIPS, 2023)

EasyTPP: Towards Open Benchmarking the Temporal Point Processes. - Siqiao Xue; Xiaoming Shi 001; Zhixuan Chu; Yan Wang 002; Fan Zhou 012; Hongyan Hao; Caigao Jiang; Chen Pan; Yi Xu; James Y. Zhang; Qingsong Wen; Jun Zhou 011; et al. (CoRR, 2023)

Continual Learning in Predictive Autoscaling. - Hongyan Hao; Zhixuan Chu; Shiyi Zhu; Gangwei Jiang; Yan Wang 002; Caigao Jiang; James Zhang; Wei Jiang; Siqiao Xue; Jun Zhou 011 (CoRR, 2023)

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. - Siqiao Xue; Fan Zhou 012; Yi Xu; Hongyu Zhao 006; Shuo Xie; Qingyang Dai; Caigao Jiang; James Y. Zhang; Jun Zhou 011; Dacheng Xiu; Hongyuan Mei (CoRR, 2023)

Prompt-augmented Temporal Point Process for Streaming Event Sequence. - Siqiao Xue; Yan Wang 002; Zhixuan Chu; Xiaoming Shi 001; Caigao Jiang; Hongyan Hao; Gangwei Jiang; Xiaoyun Feng; James Y. Zhang; Jun Zhou 011 (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 011; Defu Lian; Ying Wei 001 (CoRR, 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 005; Fan Zhou 012; et al. (CoRR, 2023)

Enhancing Event Sequence Modeling with Contrastive Relational Inference. - Yan Wang 002; Zhixuan Chu; Tao Zhou; Caigao Jiang; Hongyan Hao; Minjie Zhu; Xindong Cai; Qing Cui; Longfei Li; James Y. Zhang; Siqiao Xue; Jun Zhou 011 (ICASSP, 2024)

EasyTPP: Towards Open Benchmarking Temporal Point Processes. - Siqiao Xue; Xiaoming Shi 001; Zhixuan Chu; Yan Wang 002; Hongyan Hao; Fan Zhou 012; Caigao Jiang; Chen Pan; James Y. Zhang; Qingsong Wen; Jun Zhou 011; Hongyuan Mei (ICLR, 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 005; et al. (CoRR, 2024)

Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. - Gangwei Jiang; Caigao Jiang; Zhaoyi Li; Siqiao Xue; Jun Zhou 011; Linqi Song; Defu Lian; Ying Wei 001 (CoRR, 2024)

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch. - Caigao Jiang; Xiang Shu; Hong Qian; Xingyu Lu; Jun Zhou 011; Aimin Zhou; Yang Yu (CoRR, 2024)

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning. - Yi Huang; Fangyin Cheng; Fan Zhou 012; Jiahui Li; Jian Gong; Hongjun Yang; Zhidong Fan; Caigao Jiang; Siqiao Xue; Faqiang Chen (CoRR, 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 005; Fan Zhou 012; Hong Yi; Shaodong Liu; et al. (Proc. VLDB Endow., 2024)

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning. - Gangwei Jiang; Caigao Jiang; Zhaoyi Li; Siqiao Xue; Jun Zhou 011; Linqi Song; Defu Lian; Ying Wei 001 (ICLR, 2025)

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 (ICLR, 2025)