A Graph Regularized Point Process Model For Event Propagation Sequence. - Siqiao Xue; Xiaoming Shi 001; Hongyan Hao; Lintao Ma; James Zhang; Shiyu Wang 001; Shijun Wang (IJCNN, 2021)

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. - Siqiao Xue; Chao Qu; Xiaoming Shi 001; Cong Liao; Shiyi Zhu; Xiaoyu Tan; Lintao Ma; Shiyu Wang 001; Shijun Wang; Yun Hu 001; Lei Lei 001; Yangfei Zheng; et al. (KDD, 2022)

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. - Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Hongyuan Mei (NeurIPS, 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)

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. - Chao Qu; Xiaoyu Tan; Siqiao Xue; Xiaoming Shi 001; James Zhang; Hongyuan Mei (AAAI, 2023)

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)

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. - Xiaoming Shi 001; Siqiao Xue; Kangrui Wang; Fan Zhou 012; James Y. Zhang; Jun Zhou 011; Chenhao Tan; Hongyuan Mei (NeurIPS, 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)

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. - Xiaoyu Tan; Yongxin Deng; Chao Qu; Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Xihe Qiu (SIGIR-AP, 2023)

Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction. - Shuai Xiao; Chen Pan; Min Wang; Xinxin Zhu; Siqiao Xue; Jing Wang; Yunhua Hu; James Zhang; Jinghua Feng (CoRR, 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)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Y. Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (CoRR, 2023)

Leveraging Large Language Models for Pre-trained Recommender Systems. - Zhixuan Chu; Hongyan Hao; Xin Ouyang; Simeng Wang; Yan Wang 002; Yue Shen; Jinjie Gu; Qing Cui; Longfei Li; Siqiao Xue; James Y. Zhang; Sheng Li 001 (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)

Deep Optimal Timing Strategies for Time Series. - Chen Pan; Fan Zhou 012; Xuanwei Hu; Xinxin Zhu; Wenxin Ning; Zi Zhuang; Siqiao Xue; James Zhang; Yunhua Hu (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (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)

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (AAAI, 2024)

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Siqiao Xue; James Y. Zhang; Jun Zhou 011; Hongyuan Mei; Weitao Lin; Zi Zhuang; Wenxin Ning; Yunhua Hu (AAAI, 2024)

CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending. - Shiyi Zhu; Jing Ye; Wei Jiang 011; Siqiao Xue; Qi Zhang; Yifan Wu 002; Jianguo Li (ACL (1), 2024)

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)

Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models. - Zhixuan Chu; Lei Zhang 006; Yichen Sun; Siqiao Xue; Zhibo Wang 001; Zhan Qin; Kui Ren 001 (CoRR, 2024)

DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models. - Fan Zhou 012; Siqiao Xue; Danrui Qi; Wenhui Shi; Wang Zhao 005; Ganglin Wei; Hongyang Zhang; Caigai Jiang; Gangwei Jiang; Zhixuan Chu; Faqiang Chen (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)

FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. - Siqiao Xue; Tingting Chen; Fan Zhou 012; Qingyang Dai; Zhixuan Chu; Hongyuan Mei (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)