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Weiqing Liu
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2020 – today
- 2024
- [c27]Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian:
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. ICLR 2024 - [i27]Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang
, Weiqing Liu, Jiang Bian:
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. CoRR abs/2403.05751 (2024) - [i26]Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian:
RD2Bench: Toward Data-Centric Automatic R&D. CoRR abs/2404.11276 (2024) - [i25]Xu Yang, Haotian Chen, Wenjun Feng, Haoxue Wang, Zeqi Ye, Xinjie Shen, Xiao Yang, Shizhao Sun, Weiqing Liu, Jiang Bian:
Collaborative Evolving Strategy for Automatic Data-Centric Development. CoRR abs/2407.18690 (2024) - [i24]Yu-Hao Huang
Controllable Financial Market Generation with Diffusion Guided Meta Agent. CoRR abs/2408.12991 (2024) - [i23]Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian:
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. CoRR abs/2409.07486 (2024) - 2023
- [c26]Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do:
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. ACL (industry) 2023: 361-367 - [c25]Yuchen Fang
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD 2023: 4003-4012 - [c24]Lewen Wang
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. KDD 2023: 5104-5115 - [i22]Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do:
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. CoRR abs/2305.10528 (2023) - [i21]Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu:
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR abs/2307.03119 (2023) - [i20]Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian:
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation. CoRR abs/2307.12987 (2023) - [i19]Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian:
Microstructure-Empowered Stock Factor Extraction and Utilization. CoRR abs/2308.08135 (2023) - [i18]Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian:
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle. CoRR abs/2310.11249 (2023) - 2022
- [c23]Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. AAAI 2022: 4092-4100 - [c22]Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. COLING 2022: 2598-2607 - [c21]Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li:
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI 2022: 3659-3665 - [c20]Yingtao Luo
Learning Differential Operators for Interpretable Time Series Modeling. KDD 2022: 1192-1201 - [c19]Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian:
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW 2022: 112-121 - [i17]Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. CoRR abs/2201.04038 (2022) - [i16]Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li:
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR abs/2205.09284 (2022) - [i15]Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian:
Learning Differential Operators for Interpretable Time Series Modeling. CoRR abs/2209.01491 (2022) - 2021
- [j11]Xia Hu, Lingyang Chu, Jian Pei
Model complexity of deep learning: a survey. Knowl. Inf. Syst. 63(10): 2585-2619 (2021) - [c18]Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. AAAI 2021: 107-115 - [c17]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li:
Learning to Reweight with Deep Interactions. AAAI 2021: 7385-7393 - [c16]Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c15]Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian:
Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation. ICAIF 2021: 12:1-12:8 - [c14]Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu:
Temporally Correlated Task Scheduling for Sequence Learning. ICML 2021: 11274-11284 - [c13]Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian:
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. KDD 2021: 1017-1026 - [c12]Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. WWW 2021: 1-10 - [i14]Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. CoRR abs/2102.07372 (2021) - [i13]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model Complexity of Deep Learning: A Survey. CoRR abs/2103.05127 (2021) - [i12]Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. CoRR abs/2103.10860 (2021) - [i11]Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian:
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. CoRR abs/2106.12950 (2021) - [i10]Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian:
Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation. CoRR abs/2107.05201 (2021) - [i9]Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. CoRR abs/2109.06489 (2021) - [i8]Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu:
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR abs/2110.13716 (2021) - [i7]Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. CoRR abs/2112.04871 (2021) - [i6]Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR abs/2112.06244 (2021) - 2020
- [c11]Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei
Measuring Model Complexity of Neural Networks with Curve Activation Functions. KDD 2020: 1521-1531 - [i5]Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei:
Measuring Model Complexity of Neural Networks with Curve Activation Functions. CoRR abs/2006.08962 (2020) - [i4]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach with Deep Interactions. CoRR abs/2007.04649 (2020) - [i3]Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu:
Learn to Use Future Information in Simultaneous Translation. CoRR abs/2007.05290 (2020) - [i2]Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu:
Qlib: An AI-oriented Quantitative Investment Platform. CoRR abs/2009.11189 (2020) - [i1]Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian:
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. CoRR abs/2012.06289 (2020)
2010 – 2019
- 2019
- [j10]Wei Chen
Explosive synchronization transition in a ring of coupled oscillators. Commun. Nonlinear Sci. Numer. Simul. 70: 271-281 (2019) - [j9]Yujun Qi
Axial Compression Behaviours of Pultruded GFRP-Wood Composite Columns. Sensors 19(4): 755 (2019) - [j8]Xuxu Wang, Yujun Qi, Yunlou Sun, Zhijin Xie, Weiqing Liu:
Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores. Sensors 19(8): 1792 (2019) - [c10]Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li:
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. AAAI 2019: 200-207 - [c9]Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian:
Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction. GlobalSIP 2019: 1-5 - [c8]Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian:
A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies. GlobalSIP 2019: 1-5 - 2018
- [j7]Guansheng Shu
IF-CNN: Image-Aware Inference Framework for CNN With the Collaboration of Mobile Devices and Cloud. IEEE Access 6: 68621-68633 (2018) - [j6]Hua Xu, Weiqing Liu, Guansheng Shu, Jing Li:
LDBAS: Location-aware Data Block Allocation Strategy for HDFS-based Applications in the Cloud. KSII Trans. Internet Inf. Syst. 12(1): 204-226 (2018) - [c7]Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang:
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network. IJCAI 2018: 3435-3441 - [c6]Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu:
Investor-Imitator: A Framework for Trading Knowledge Extraction. KDD 2018: 1310-1319 - [c5]Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu:
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. WSDM 2018: 261-269 - 2017
- [j5]Weiqing Liu, Jing Li:
An Approach to Automatic Performance Prediction for Cloud-Enhanced Mobile Applications with Sparse Data. J. Comput. Sci. Technol. 32(5): 936-956 (2017) - [j4]Weiqing Liu
AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning. IEEE Trans. Parallel Distributed Syst. 28(6): 1593-1606 (2017) - 2016
- [j3]Weiqing Liu, Jing Li, Zhiqiang Zhou, Jiling He:
MissingFound: An Assistant System for Finding Missing Companions via Mobile Crowdsourcing. KSII Trans. Internet Inf. Syst. 10(10): 4766-4786 (2016) - [c4]Hua Xu, Weiqing Liu, Guansheng Shu, Jing Li:
Location-Aware Data Block Allocation Strategy for HDFS-Based Applications in the Cloud. CLOUD 2016: 252-259 - 2014
- [j2]Hongjing Ma, Weiqing Liu
Ragged oscillation death in coupled nonidentical oscillators. Commun. Nonlinear Sci. Numer. Simul. 19(8): 2874-2882 (2014) - [c3]Weiqing Liu, Jiannong Cao
Improving Performance of Mobile Interactive Data-Streaming Applications with Multiple Cloudlets. CloudCom 2014: 46-53 - 2013
- [j1]Hongjing Ma, Weiqing Liu
Effect of spatial distribution on the synchronization in rings of coupled oscillators. Commun. Nonlinear Sci. Numer. Simul. 18(10): 2769-2774 (2013) - 2012
- [c2]Changchun Zhang, Jing Li, Lei Wu, Meiyan Lin, Weiqing Liu:
SEJ: An Even Approach to Multiway Theta-Joins Using MapReduce. CGC 2012: 73-80 - 2011
- [c1]Hu Song, Jing Li, Ling Li, Weiwei Wang, HongJun Yin, Bai Zhang, Weiqing Liu, Rui Zhou:
PerHPC: Design and Implement Personal High Performance Computing Platform Using Cloud Computing Technology. ChinaGrid 2011: 28-34
Coauthor Index
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last updated on 2024-10-23 20:28 CEST by the dblp team
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