| 2026 | AAAI | Controllable Financial Market Generation with Diffusion Guided Meta Agent. | Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian |
| 2026 | ACL | Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search. | Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Minrui Xu, Yuge Zhang, Weiqing Liu, Jiang Bian |
| 2025 | ICLR | MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. | Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian |
| 2024 | ICLR | MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. | Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian |
| 2023 | ACL | Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. | Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do |
| 2023 | KDD | Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. | Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu |
| 2023 | KDD | Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. | Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian |
| 2022 | AAAI | DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. | Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian |
| 2022 | COLING | KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. | Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu |
| 2022 | IJCAI | Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. | Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li |
| 2022 | KDD | Learning Differential Operators for Interpretable Time Series Modeling. | Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian |
| 2022 | WWW | Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. | Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian |
| 2021 | AAAI | Universal Trading for Order Execution with Oracle Policy Distillation. | Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu |
| 2021 | AAAI | Learning to Reweight with Deep Interactions. | Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li |
| 2021 | CIKM | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. | Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2021 | ICML | Temporally Correlated Task Scheduling for Sequence Learning. | Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu |
| 2021 | KDD | Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. | Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian |
| 2021 | WWW | REST: Relational Event-driven Stock Trend Forecasting. | Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu |
| 2020 | KDD | Measuring Model Complexity of Neural Networks with Curve Activation Functions. | Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei |
| 2019 | AAAI | Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. | Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li |
| 2018 | IJCAI | Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network. | Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang |
| 2018 | KDD | Investor-Imitator: A Framework for Trading Knowledge Extraction. | Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu |
| 2018 | WSDM | Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. | Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu |
| 2014 | CloudCom | Improving Performance of Mobile Interactive Data-Streaming Applications with Multiple Cloudlets. | Weiqing Liu, Jiannong Cao, Xuanjia Qiu, Jing Li |