PerHPC: Design and Implement Personal High Performance Computing Platform Using Cloud Computing Technology. - Hu Song; Jing Li; Ling Li; Weiwei Wang; HongJun Yin; Bai Zhang; Weiqing Liu; Rui Zhou (ChinaGrid, 2011)

SEJ: An Even Approach to Multiway Theta-Joins Using MapReduce. - Changchun Zhang; Jing Li; Lei Wu; Meiyan Lin; Weiqing Liu (CGC, 2012)

Effect of spatial distribution on the synchronization in rings of coupled oscillators. - Hongjing Ma; Weiqing Liu; Ye Wu 002; Yixian Yang; Jinghua Xiao (Commun. Nonlinear Sci. Numer. Simul., 2013)

Improving Performance of Mobile Interactive Data-Streaming Applications with Multiple Cloudlets. - Weiqing Liu; Jiannong Cao 001; Xuanjia Qiu; Jing Li 047 (CloudCom, 2014)

Ragged oscillation death in coupled nonidentical oscillators. - Hongjing Ma; Weiqing Liu; Ye Wu 002; Meng Zhan; Jinghua Xiao (Commun. Nonlinear Sci. Numer. Simul., 2014)

Location-Aware Data Block Allocation Strategy for HDFS-Based Applications in the Cloud. - Hua Xu; Weiqing Liu; Guansheng Shu; Jing Li (CLOUD, 2016)

MissingFound: An Assistant System for Finding Missing Companions via Mobile Crowdsourcing. - Weiqing Liu; Jing Li; Zhiqiang Zhou; Jiling He (KSII Trans. Internet Inf. Syst., 2016)

An Approach to Automatic Performance Prediction for Cloud-Enhanced Mobile Applications with Sparse Data. - Weiqing Liu; Jing Li 047 (J. Comput. Sci. Technol., 2017)

AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning. - Weiqing Liu; Jiannong Cao 001; Lei Yang 024; Lin Xu; Xuanjia Qiu; Jing Li 047 (IEEE Trans. Parallel Distributed Syst., 2017)

Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network. - Dongliang Liao; Weiqing Liu; Yuan Zhong; Jing Li; Guowei Wang (IJCAI, 2018)

Investor-Imitator: A Framework for Trading Knowledge Extraction. - Yi Ding; Weiqing Liu; Jiang Bian 002; Daoqiang Zhang; Tie-Yan Liu (KDD, 2018)

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. - Ziniu Hu; Weiqing Liu; Jiang Bian 002; Xuanzhe Liu; Tie-Yan Liu (WSDM, 2018)

IF-CNN: Image-Aware Inference Framework for CNN With the Collaboration of Mobile Devices and Cloud. - Guansheng Shu; Weiqing Liu; Xiaojie Zheng; Jing Li 047 (IEEE Access, 2018)

LDBAS: Location-aware Data Block Allocation Strategy for HDFS-based Applications in the Cloud. - Hua Xu; Weiqing Liu; Guansheng Shu; Jing Li (KSII Trans. Internet Inf. Syst., 2018)

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 (AAAI, 2019)

Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction. - Lewen Wang; Weiqing Liu; Xiao Yang; Jiang Bian 002 (GlobalSIP, 2019)

A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies. - Xiao Yang; Weiqing Liu; Lewen Wang; Cheng Qu; Jiang Bian 002 (GlobalSIP, 2019)

Explosive synchronization transition in a ring of coupled oscillators. - Wei Chen 073; Weiqing Liu; Yueheng Lan; Jinghua Xiao (Commun. Nonlinear Sci. Numer. Simul., 2019)

Axial Compression Behaviours of Pultruded GFRP-Wood Composite Columns. - Yujun Qi; Lei Xie; Yu Bai; Weiqing Liu; Hai Fang (Sensors, 2019)

Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores. - Xuxu Wang; Yujun Qi; Yunlou Sun; Zhijin Xie; Weiqing Liu (Sensors, 2019)

Measuring Model Complexity of Neural Networks with Curve Activation Functions. - Xia Hu; Weiqing Liu; Jiang Bian 002; Jian Pei 001 (KDD, 2020)

Learning to Teach with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (CoRR, 2020)

Learn to Use Future Information in Simultaneous Translation. - Xueqing Wu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Qlib: An AI-oriented Quantitative Investment Platform. - Xiao Yang; Weiqing Liu; Dong Zhou; Jiang Bian 002; Tie-Yan Liu (CoRR, 2020)

ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. - Hongshun Tang; Lijun Wu 003; Weiqing Liu; Jiang Bian 002 (CoRR, 2020)

Learning to Reweight with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001 (AAAI, 2021)

Universal Trading for Order Execution with Oracle Policy Distillation. - Yuchen Fang; Kan Ren; Weiqing Liu; Dong Zhou; Weinan Zhang 001; Jiang Bian 002; Yong Yu 001; Tie-Yan Liu (AAAI, 2021)

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)

Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation. - Hengxu Lin; Dong Zhou; Weiqing Liu; Jiang Bian 002 (ICAIF, 2021)

Temporally Correlated Task Scheduling for Sequence Learning. - Xueqing Wu 001; Lewen Wang; Yingce Xia; Weiqing Liu; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (ICML, 2021)

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. - Hengxu Lin; Dong Zhou; Weiqing Liu; Jiang Bian 002 (KDD, 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)

Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. - Wentao Xu; Weiqing Liu; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (CoRR, 2021)

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. - Wentao Xu; Weiqing Liu; Lewen Wang; Yingce Xia; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (CoRR, 2021)

KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. - Wentao Xu; Zhiping Luo; Weiqing Liu; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (CoRR, 2021)

SHGNN: Structure-Aware Heterogeneous Graph Neural Network. - Wentao Xu; Yingce Xia; Weiqing Liu; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (CoRR, 2021)

Model complexity of deep learning: a survey. - Xia Hu; Lingyang Chu; Jian Pei 001; Weiqing Liu; Jiang Bian 002 (Knowl. Inf. Syst., 2021)

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. - Wendi Li; Xiao Yang; Weiqing Liu; Yingce Xia; Jiang Bian 002 (AAAI, 2022)

KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. - Zhiping Luo; Wentao Xu; Weiqing Liu; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (COLING, 2022)

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. - Zhengyu Yang 002; Kan Ren; Xufang Luo; Minghuan Liu; Weiqing Liu; Jiang Bian 002; Weinan Zhang 001; Dongsheng Li 002 (IJCAI, 2022)

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)

Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. - Sarthak Ahuja; Mohammad Kachuee; Fatemeh Sheikholeslami; Weiqing Liu; Jaeyoung Do (ACL (industry), 2023)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Yuchen Fang; Zhenggang Tang; Kan Ren; Weiqing Liu; Li Zhao 007; Jiang Bian 002; Dongsheng Li 002; Weinan Zhang 001; Yong Yu 001; Tie-Yan Liu (KDD, 2023)

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 002 (KDD, 2023)

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)

Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle. - Xu Yang; Xiao Yang; Weiqing Liu; Jinhui Li; Peng Yu 001; Zeqi Ye; 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)

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning. - Jianming Pan; Zeqi Ye; Xiao Yang; Xu Yang; Weiqing Liu; Lewen Wang; Jiang Bian 002 (NeurIPS, 2024)

RD2Bench: Toward Data-Centric Automatic R&D. - Haotian Chen; Xinjie Shen; Zeqi Ye; Xiao Yang; Xu Yang; Weiqing Liu; Jiang Bian 002 (CoRR, 2024)

Collaborative Evolving Strategy for Automatic Data-Centric Development. - Xu Yang; Haotian Chen; Wenjun Feng; Haoxue Wang; Zeqi Ye; Xinjie Shen; Xiao Yang; Shizhao Sun; Weiqing Liu; Jiang Bian 002 (CoRR, 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)

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)

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)

Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE. - Panqi Chen; Lei Cheng; Jianlong Li; Weichang Li; Weiqing Liu; Jiang Bian 002; Shikai Fang (CoRR, 2025)

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations. - Panqi Chen; Yifan Sun; Lei Cheng; Yang Yang; Weichang Li; Yang Liu 278; Weiqing Liu; Jiang Bian 002; Shikai Fang (CoRR, 2025)

R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution. - Xu Yang; Xiao Yang; Shikai Fang; Bowen Xian; Yuante Li; Jian Wang; Minrui Xu; Haoran Pan; Xinpeng Hong; Weiqing Liu; Yelong Shen; Weizhu Chen; et al. (CoRR, 2025)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization. - Yuante Li; Xu Yang; Xiao Yang; Minrui Xu; Xisen Wang; Weiqing Liu; Jiang Bian 002 (CoRR, 2025)