James Y. Zhang

29 papers A* 7A 1Misc 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster. CoRR Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song
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	A*	`conf`	Continuous Invariance Learning. ICLR Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang
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	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`	Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024	A*	`conf`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2024	A*	`conf`	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024	J	`jnl`	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
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	—	`conf`	China's First Natural Language-based AI ChatBot Trader. WWW (Companion Volume) James Y. Zhang, Zhi Li, Hao Fang, Jun Wu, Zhongnan Shen, Jing Zheng, Wei Chu, Weiping Duan, Peng Xu
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`	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`	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	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`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
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	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	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
2014	—	`conf`	Entity extraction and disambiguation in finance. ERD@SIGIR James A. Hodson, James Y. Zhang