Siqiao Xue

47 papers A* 9A 1B 1Misc 1Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
LookBench: A Live and Holistic Open Benchmark for Fashion Image Retrieval.
CoRR
Chao Gao, Siqiao Xue, Yimin Peng, Jiwen Fu, Tingyi Gu, Shanshan Li, Fan Zhou
2026 J jnl
QuitoBench: A High-Quality Open Time Series Forecasting Benchmark.
CoRR
Siqiao Xue, Zhaoyang Zhu, Wei Zhang, Rongyao Cai, Rui Wang, Yixiang Mu, Fan Zhou, Jianguo Li, Peng Di, Hang Yu
2025 J jnl
DORAEMON: A Unified Library for Visual Object Modeling and Representation Learning at Scale.
CoRR
Ke Du, Yimin Peng, Chao Gao, Fan Zhou, Siqiao Xue
2025 A* conf
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning.
ICLR
Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2025 J jnl
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning.
CoRR
Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2024 J jnl
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.
CoRR
Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2024 — conf
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending.
ACL (1)
Shiyi Zhu, Jing Ye, Wei Jiang, Siqiao Xue, Qi Zhang, Yifan Wu, Jianguo Li
2024 J jnl
DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models.
CoRR
Fan Zhou, Siqiao Xue, Danrui Qi, Wenhui Shi, Wang Zhao, Ganglin Wei, Hongyang Zhang, Caigai Jiang, Gangwei Jiang, Zhixuan Chu, Faqiang Chen
2024 J jnl
Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models.
CoRR
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, Faqiang Chen
2024 J jnl
Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models.
Proc. VLDB Endow.
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
2024 A* conf
EasyTPP: Towards Open Benchmarking Temporal Point Processes.
ICLR
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
2024 Misc conf
Enhancing Event Sequence Modeling with Contrastive Relational Inference.
ICASSP
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
2024 J jnl
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering.
CoRR
Siqiao Xue, Tingting Chen, Fan Zhou, Qingyang Dai, Zhixuan Chu, Hongyuan Mei
2024 A* conf
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
AAAI
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu
2024 J jnl
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
CoRR
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue
2024 J jnl
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.
CoRR
Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2024 A* conf
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
AAAI
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2024 J jnl
ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning.
CoRR
Yi Huang, Fangyin Cheng, Fan Zhou, Jiahui Li, Jian Gong, Hongjun Yang, Zhidong Fan, Caigao Jiang, Siqiao Xue, Faqiang Chen
2024 J jnl
Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models.
CoRR
Zhixuan Chu, Lei Zhang, Yichen Sun, Siqiao Xue, Zhibo Wang, Zhan Qin, Kui Ren
2023 — conf
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.
SIGIR-AP
Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2023 J jnl
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction.
CoRR
Shuai Xiao, Chen Pan, Min Wang, Xinxin Zhu, Siqiao Xue, Jing Wang, Yunhua Hu, James Zhang, Jinghua Feng
2023 A* conf
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.
AAAI
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2023 A conf
Continual Learning in Predictive Autoscaling.
CIKM
Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023 J jnl
Continual Learning in Predictive Autoscaling.
CoRR
Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023 J jnl
DB-GPT: Empowering Database Interactions with Private Large Language Models.
CoRR
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
2023 J jnl
Deep Optimal Timing Strategies for Time Series.
CoRR
Chen Pan, Fan Zhou, Xuanwei Hu, Xinxin Zhu, Wenxin Ning, Zi Zhuang, Siqiao Xue, James Zhang, Yunhua Hu
2023 J jnl
EasyTPP: Towards Open Benchmarking the Temporal Point Processes.
CoRR
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
2023 — conf
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.
ICDM (Workshops)
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
2023 J jnl
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.
CoRR
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
2023 J jnl
Enhancing Recommender Systems with Large Language Model Reasoning Graphs.
CoRR
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2023 A* conf
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
NeurIPS
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023 J jnl
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
CoRR
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023 J jnl
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
2023 J jnl
Leveraging Large Language Models for Pre-trained Recommender Systems.
CoRR
Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li
2023 A* conf
Prompt-augmented Temporal Point Process for Streaming Event Sequence.
NeurIPS
Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
2023 J jnl
Prompt-augmented Temporal Point Process for Streaming Event Sequence.
CoRR
Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou
2023 J jnl
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.
CoRR
Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian, Ying Wei
2023 — conf
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.
EMNLP (Findings)
Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
2023 J jnl
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.
CoRR
Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Y. Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei
2022 J jnl
A Graph Regularized Point Process Model For Event Propagation Sequence.
CoRR
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang
2022 A* conf
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
KDD
Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang
2022 J jnl
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
CoRR
Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang
2022 J jnl
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.
CoRR
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2022 A* conf
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences.
NeurIPS
Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
2022 J jnl
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences.
CoRR
Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
2022 J jnl
Learning Large-scale Universal User Representation with Sparse Mixture of Experts.
CoRR
Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao
2021 B conf
A Graph Regularized Point Process Model For Event Propagation Sequence.
IJCNN
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang