Entity extraction and disambiguation in finance. - James A. Hodson; James Y. Zhang (ERD@SIGIR, 2014)

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)

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)

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)

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)

China's First Natural Language-based AI ChatBot Trader. - James Y. Zhang; Zhi Li; Hao Fang; Jun Wu; Zhongnan Shen; Jing Zheng; Wei Chu; Weiping Duan; Peng Xu (WWW (Companion Volume), 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)

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)

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)

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)

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)

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. - Ming Jin 005; Shiyu Wang 001; Lintao Ma; Zhixuan Chu; James Y. Zhang; Xiaoming Shi 001; Pin-Yu Chen; Yuxuan Liang; Yuan-Fang Li; Shirui Pan; Qingsong Wen (ICLR, 2024)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. - Shiyu Wang 001; Haixu Wu; Xiaoming Shi 001; Tengge Hu; Huakun Luo; Lintao Ma; James Y. Zhang; Jun Zhou 011 (ICLR, 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)

Continuous Invariance Learning. - Lin Yong; Fan Zhou 012; Lu Tan; Lintao Ma; Jianmeng Liu; Yansu He; Yuan Yuan; Yu Liu 071; James Y. Zhang; Yujiu Yang; Hao Wang 014 (ICLR, 2024)

Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. - Xiaoyu Tan; Chao Qu; Junwu Xiong; James Y. Zhang; Xihe Qiu; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Y. Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster. - Kanghui Ning; Zijie Pan; Yu Liu; Yushan Jiang; James Y. Zhang; Kashif Rasul; Anderson Schneider; Lintao Ma; Yuriy Nevmyvaka; Dongjin Song (CoRR, 2025)