Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. - Yuyu Zhang; Hanjun Dai; Chang Xu 008; Jun Feng; Taifeng Wang; Jiang Bian 002; Bin Wang 004; Tie-Yan Liu (AAAI, 2014)

RC-NET: A General Framework for Incorporating Knowledge into Word Representations. - Chang Xu 008; Yalong Bai; Jiang Bian 002; Bin Gao 001; Gang Wang 001; Xiaoguang Liu 001; Tie-Yan Liu (CIKM, 2014)

Bag-of-Words Based Deep Neural Network for Image Retrieval. - Yalong Bai; Wei Yu 004; Tianjun Xiao; Chang Xu 008; Kuiyuan Yang; Wei-Ying Ma; Tiejun Zhao (ACM Multimedia, 2014)

Automatic Image Dataset Construction from Click-through Logs Using Deep Neural Network. - Yalong Bai; Kuiyuan Yang; Wei Yu 004; Chang Xu 008; Wei-Ying Ma; Tiejun Zhao (ACM Multimedia, 2015)

Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. - Chang Xu 008; Gang Wang 001; Xiaoguang Liu 001; Dongdong Guo; Tie-Yan Liu (IEEE Trans. Computers, 2016)

Convolutional neural networks for posed and spontaneous expression recognition. - Chang Xu 008; Tao Qin 001; Yalong Bai; Gang Wang 001; Tie-Yan Liu (ICME, 2017)

Reinforcement Learning for Learning Rate Control. - Chang Xu 008; Tao Qin 001; Gang Wang 001; Tie-Yan Liu (CoRR, 2017)

Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. - Chang Xu 008; Weiran Huang 001; Hongwei Wang 004; Gang Wang 001; Tie-Yan Liu (AAAI, 2019)

Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. - Chang Xu 008; Tao Qin 001; Gang Wang 001; Tie-Yan Liu (IJCAI, 2019)

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. - Min Hou; Chang Xu 008; Yang Liu 278; Weiqing Liu; Jiang Bian 002; Le Wu; Zhi Li 057; Enhong Chen; Tie-Yan Liu (CIKM, 2021)

REST: Relational Event-driven Stock Trend Forecasting. - Wentao Xu; Weiqing Liu; Chang Xu 008; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (WWW, 2021)

Learning Differential Operators for Interpretable Time Series Modeling. - Yingtao Luo; Chang Xu 008; Yang Liu 278; Weiqing Liu; Shun Zheng 001; Jiang Bian 002 (KDD, 2022)

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. - Min Hou; Chang Xu 008; Zhi Li 057; Yang Liu 278; Weiqing Liu; Enhong Chen; Jiang Bian 002 (WWW, 2022)

Efficient Behavior-consistent Calibration for Multi-agent Market Simulation. - Tianlang He; Keyan Lu; Chang Xu 008; Yang Liu 278; Weiqing Liu; S.-H. Gary Chan; Jiang Bian 002 (CoRR, 2023)

Microstructure-Empowered Stock Factor Extraction and Utilization. - Xianfeng Jiao; Zizhong Li; Chang Xu 008; Yang Liu 278; Weiqing Liu; Jiang Bian 002 (CoRR, 2023)

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. - Xinyao Fan; Yueying Wu 004; Chang Xu 008; Yuhao Huang 002; Weiqing Liu; Jiang Bian 002 (ICLR, 2024)

Controllable Financial Market Generation with Diffusion Guided Meta Agent. - Yu-Hao Huang 002; Chang Xu 008; Yang Liu 278; Weiqing Liu; Wu-Jun Li; Jiang Bian 002 (CoRR, 2024)

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting. - Huanyu Zhang; Chang Xu 008; Yifan Zhang 004; Zhang Zhang 001; Liang Wang 001; Jiang Bian 002; Tieniu Tan (CoRR, 2024)

A multimodal stepwise-coordinating framework for pedestrian trajectory prediction. - Yijun Wang 002; Zekun Guo; Chang Xu 008; Jianxin Lin (Knowl. Based Syst., 2024)

Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. - Yang Liu 278; Chang Xu 008; Min Hou; Weiqing Liu; Jiang Bian 002; Qi Liu 003; Tie-Yan Liu (IEEE Trans. Knowl. Data Eng., 2024)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. - Yu-Hao Huang 002; Chang Xu 008; Yueying Wu 004; Wu-Jun Li; Jiang Bian 002 (AAAI, 2025)

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. - Junjie Li; Yang Liu 278; Weiqing Liu; Shikai Fang; Lewen Wang; Chang Xu 008; Jiang Bian 002 (ICLR, 2025)

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. - Min Hou; Yueying Wu 004; Chang Xu 008; Yu-Hao Huang 002; Chenxi Bai; Le Wu; Jiang Bian 002 (KDD (1), 2025)

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling. - Hao Li 074; Yu-Hao Huang 002; Chang Xu 008; Viktor Schlegel; Ren-He Jiang; Riza Batista-Navarro; Goran Nenadic; Jiang Bian 002 (CoRR, 2025)

Silent Hazards of Token Reduction in Vision-Language Models: The Hidden Impact on Consistency. - Yizheng Sun; Hao Li 074; Chang Xu 008; Chenghua Lin; Riza Batista-Navarro; Jingyuan Sun (CoRR, 2025)

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation. - Bowen Deng; Chang Xu 008; Hao Li 074; Yuhao Huang; Min Hou; Jiang Bian 002 (CoRR, 2025)

MIRA: Medical Time Series Foundation Model for Real-World Health Data. - Hao Li 074; Bowen Deng; Chang Xu 008; Zhiyuan Feng; Viktor Schlegel; Yu-Hao Huang; Yizheng Sun; Jingyuan Sun; Kailai Yang; Yiyao Yu; Jiang Bian 002 (CoRR, 2025)

TimeRAF: Retrieval-Augmented Foundation Model for Zero-Shot Time Series Forecasting. - Huanyu Zhang; Chang Xu 008; Yifan Zhang 004; Zhang Zhang 001; Liang Wang 001; Jiang Bian 002 (IEEE Trans. Knowl. Data Eng., 2025)