Weiqing Liu - RankMe

78 papers A* 19A 2B 2C 1Journal 48Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Controllable Financial Market Generation with Diffusion Guided Meta Agent. AAAI Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2026	J	`jnl`	FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents. CoRR Qizheng Li, Yifei Zhang, Xiao Yang, Xu Yang, Zhuo Wang, Weiqing Liu, Jiang Bian
2026	J	`jnl`	Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search. CoRR Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Mingrui Xu, Weiqing Liu, Jiang Bian
2025	J	`jnl`	Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE. CoRR Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
2025	J	`jnl`	Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations. CoRR Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
2025	J	`jnl`	Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces. CoRR Siyuan Li, Yifan Sun, Lei Cheng, Lewen Wang, Yang Liu, Weiqing Liu, Jianlong Li, Jiang Bian, Shikai Fang
2025	J	`jnl`	Machine Learning-Based Prediction Framework for Complex Neuromorphic Dynamics of Third-Order Memristive Neurons at the Edge of Chaos. Entropy Tao Luo, Lin Yan, Weiqing Liu
2025	A*	`conf`	MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. ICLR Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
2025	J	`jnl`	R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization. CoRR Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian
2025	J	`jnl`	R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution. CoRR Xu Yang, Xiao Yang, Shikai Fang, Bowen Xian, Yuante Li, Jian Wang, Minrui Xu, Haoran Pan, Xinpeng Hong, Weiqing Liu, Yelong Shen, Weizhu Chen, Jiang Bian
2024	A*	`conf`	BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning. NeurIPS Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024	J	`jnl`	BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning. CoRR Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024	J	`jnl`	Collaborative Evolving Strategy for Automatic Data-Centric Development. CoRR Xu Yang, Haotian Chen, Wenjun Feng, Haoxue Wang, Zeqi Ye, Xinjie Shen, Xiao Yang, Shizhao Sun, Weiqing Liu, Jiang Bian
2024	J	`jnl`	Controllable Financial Market Generation with Diffusion Guided Meta Agent. CoRR Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2024	J	`jnl`	Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. IEEE Trans. Knowl. Data Eng. Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu
2024	A*	`conf`	MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. ICLR Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
2024	J	`jnl`	MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. CoRR Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
2024	J	`jnl`	MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. CoRR Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
2024	J	`jnl`	RD2Bench: Toward Data-Centric Automatic R&D. CoRR Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
2023	J	`jnl`	Efficient Behavior-consistent Calibration for Multi-agent Market Simulation. CoRR Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian
2023	A*	`conf`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	J	`jnl`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	J	`jnl`	Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle. CoRR Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
2023	J	`jnl`	Microstructure-Empowered Stock Factor Extraction and Utilization. CoRR Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian
2023	A*	`conf`	Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. KDD Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian
2023	—	`conf`	Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. ACL (industry) Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do
2023	J	`jnl`	Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. CoRR Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do
2022	A*	`conf`	DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. AAAI Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
2022	J	`jnl`	DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. CoRR Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
2022	B	`conf`	KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. COLING Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2022	A*	`conf`	Learning Differential Operators for Interpretable Time Series Modeling. KDD Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
2022	J	`jnl`	Learning Differential Operators for Interpretable Time Series Modeling. CoRR Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
2022	A*	`conf`	Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
2022	A*	`conf`	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2021	J	`jnl`	Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation. CoRR Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021	—	`conf`	Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation. ICAIF Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021	J	`jnl`	HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. CoRR Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. CoRR Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	A*	`conf`	Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. KDD Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021	J	`jnl`	Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. CoRR Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021	A*	`conf`	Learning to Reweight with Deep Interactions. AAAI Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
2021	J	`jnl`	Model Complexity of Deep Learning: A Survey. CoRR Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
2021	J	`jnl`	Model complexity of deep learning: a survey. Knowl. Inf. Syst. Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
2021	A*	`conf`	REST: Relational Event-driven Stock Trend Forecasting. WWW Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	REST: Relational Event-driven Stock Trend Forecasting. CoRR Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	A	`conf`	Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
2021	A*	`conf`	Temporally Correlated Task Scheduling for Sequence Learning. ICML Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Universal Trading for Order Execution with Oracle Policy Distillation. AAAI Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2021	J	`jnl`	Universal Trading for Order Execution with Oracle Policy Distillation. CoRR Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2020	J	`jnl`	ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. CoRR Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
2020	J	`jnl`	Learn to Use Future Information in Simultaneous Translation. CoRR Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
2020	J	`jnl`	Learning to Teach with Deep Interactions. CoRR Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020	A*	`conf`	Measuring Model Complexity of Neural Networks with Curve Activation Functions. KDD Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei
2020	J	`jnl`	Measuring Model Complexity of Neural Networks with Curve Activation Functions. CoRR Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei
2020	J	`jnl`	Qlib: An AI-oriented Quantitative Investment Platform. CoRR Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu
2019	—	`conf`	A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies. GlobalSIP Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
2019	J	`jnl`	Axial Compression Behaviours of Pultruded GFRP-Wood Composite Columns. Sensors Yujun Qi, Lei Xie, Yu Bai, Weiqing Liu, Hai Fang
2019	J	`jnl`	Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores. Sensors Xuxu Wang, Yujun Qi, Yunlou Sun, Zhijin Xie, Weiqing Liu
2019	—	`conf`	Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction. GlobalSIP Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
2019	J	`jnl`	Explosive synchronization transition in a ring of coupled oscillators. Commun. Nonlinear Sci. Numer. Simul. Wei Chen, Weiqing Liu, Yueheng Lan, Jinghua Xiao
2019	A*	`conf`	Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. AAAI Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li
2018	J	`jnl`	IF-CNN: Image-Aware Inference Framework for CNN With the Collaboration of Mobile Devices and Cloud. IEEE Access Guansheng Shu, Weiqing Liu, Xiaojie Zheng, Jing Li
2018	A*	`conf`	Investor-Imitator: A Framework for Trading Knowledge Extraction. KDD Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu
2018	J	`jnl`	LDBAS: Location-aware Data Block Allocation Strategy for HDFS-based Applications in the Cloud. KSII Trans. Internet Inf. Syst. Hua Xu, Weiqing Liu, Guansheng Shu, Jing Li
2018	A	`conf`	Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. WSDM Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu
2018	A*	`conf`	Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network. IJCAI Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang
2017	J	`jnl`	An Approach to Automatic Performance Prediction for Cloud-Enhanced Mobile Applications with Sparse Data. J. Comput. Sci. Technol. Weiqing Liu, Jing Li
2017	J	`jnl`	AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning. IEEE Trans. Parallel Distributed Syst. Weiqing Liu, Jiannong Cao, Lei Yang, Lin Xu, Xuanjia Qiu, Jing Li
2016	B	`conf`	Location-Aware Data Block Allocation Strategy for HDFS-Based Applications in the Cloud. CLOUD Hua Xu, Weiqing Liu, Guansheng Shu, Jing Li
2016	J	`jnl`	MissingFound: An Assistant System for Finding Missing Companions via Mobile Crowdsourcing. KSII Trans. Internet Inf. Syst. Weiqing Liu, Jing Li, Zhiqiang Zhou, Jiling He
2014	C	`conf`	Improving Performance of Mobile Interactive Data-Streaming Applications with Multiple Cloudlets. CloudCom Weiqing Liu, Jiannong Cao, Xuanjia Qiu, Jing Li
2014	J	`jnl`	Ragged oscillation death in coupled nonidentical oscillators. Commun. Nonlinear Sci. Numer. Simul. Hongjing Ma, Weiqing Liu, Ye Wu, Meng Zhan, Jinghua Xiao
2013	J	`jnl`	Effect of spatial distribution on the synchronization in rings of coupled oscillators. Commun. Nonlinear Sci. Numer. Simul. Hongjing Ma, Weiqing Liu, Ye Wu, Yixian Yang, Jinghua Xiao
2012	—	`conf`	SEJ: An Even Approach to Multiway Theta-Joins Using MapReduce. CGC Changchun Zhang, Jing Li, Lei Wu, Meiyan Lin, Weiqing Liu
2011	—	`conf`	PerHPC: Design and Implement Personal High Performance Computing Platform Using Cloud Computing Technology. ChinaGrid Hu Song, Jing Li, Ling Li, Weiwei Wang, HongJun Yin, Bai Zhang, Weiqing Liu, Rui Zhou