Xue, Siqiao

9 publications

ICLR 2025 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, Linqi Song, Defu Lian, Ying Wei

ICLR 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

AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting 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

AAAI 2024 LLMRG: Improving Recommendations Through Large Language Model Reasoning Graphs 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

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

NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

NeurIPS 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

NeurIPS 2022 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

ICMLW 2022 Learning Large-Scale Universal User Representation with Sparse Mixture of Experts Caigao Jiang, Siqiao Xue, James Y. Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao