Zhang, James

8 publications

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

IJCAI 2023 Full Scaling Automation for Sustainable Development of Green Data Centers Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian

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

AAAI 2023 SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun

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

IJCAI 2022 Memory Augmented State Space Model for Time Series Forecasting Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye