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Qi Meng
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2020 – today
- 2024
- [j17]Lili Dong, Tianliang Hu, Junrui Li, Qi Meng, Songhua Ma:
A product performance rapid simulation approach driven by digital twin data: Part 2. For variable operating conditions. Adv. Eng. Informatics 59: 102336 (2024) - [j16]Lili Dong, Tianliang Hu, Pengjun Yue, Qi Meng, Songhua Ma:
A product performance rapid simulation approach driven by digital twin data: Part 1. For variable product structures. Adv. Eng. Informatics 59: 102337 (2024) - [j15]Qi Meng, Hancheng Lu, Langtian Qin:
Energy Optimization in Statistical AoI-Aware MEC Systems. IEEE Commun. Lett. 28(10): 2263-2267 (2024) - [j14]Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu:
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5763-5778 (2024) - [c32]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. ACL (1) 2024: 2375-2388 - [c31]Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen:
Provable Adaptivity of Adam under Non-uniform Smoothness. KDD 2024: 2960-2969 - [i35]Bohan Wang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Wei Chen:
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond. CoRR abs/2403.15146 (2024) - [i34]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR abs/2406.04984 (2024) - [i33]Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger:
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. CoRR abs/2409.18885 (2024) - 2023
- [j13]Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui:
EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11(1): 53 (2023) - [j12]Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing 528: 48-58 (2023) - [c30]Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu:
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI 2023: 7740-7747 - [c29]Xixiang Zhang, Qi Meng, Qiwen Tan, Yun Dong, Yan Chen, Zhixiang Tan:
GCN-based Entity Relation Extraction Method for Power Marketing Data. AAIA 2023: 120-127 - [c28]Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
𝒪-GNN: incorporating ring priors into molecular modeling. ICLR 2023 - [c27]Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu:
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML 2023: 13993-14006 - [i32]Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu:
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR abs/2302.05104 (2023) - [i31]Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu:
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR abs/2302.10255 (2023) - [i30]Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng:
Power-law Dynamic arising from machine learning. CoRR abs/2306.09624 (2023) - [i29]Rui Zhang, Qi Meng, Zhi-Ming Ma:
Deciphering and integrating invariants for neural operator learning with various physical mechanisms. CoRR abs/2311.14361 (2023) - 2022
- [j11]Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma:
Constructing the Basis Path Set by Eliminating the Path Dependency. J. Syst. Sci. Complex. 35(5): 1944-1962 (2022) - [c26]Qi Meng:
Blockchain-based Security Governance Framework of Agricultural Product Traceability Data. BIOTC 2022: 16-21 - [c25]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR 2022 - [c24]Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu:
SE(3) Equivariant Graph Neural Networks with Complete Local Frames. ICML 2022: 5583-5608 - [c23]Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 - [c22]Zihan Wang, Qi Meng, HaiFeng Lan, XinRui Zhang, KeHao Guo, Akshat Gupta:
Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search. SLT 2022: 806-813 - [i28]Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu:
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR abs/2204.06255 (2022) - [i27]Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu:
Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR abs/2206.09571 (2022) - [i26]Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen:
Provable Adaptivity in Adam. CoRR abs/2208.09900 (2022) - [i25]Zihan Wang, Qi Meng, HaiFeng Lan, XinRui Zhang, KeHao Guo, Akshat Gupta:
Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search. CoRR abs/2211.08237 (2022) - 2021
- [j10]Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma:
Interpreting the Basis Path Set in Neural Networks. J. Syst. Sci. Complex. 34(6): 2155-2167 (2021) - [j9]Chang Li, Xi Li, Tian Li, Qi Meng, Wenjie Yu:
LMedS-Based Power Regression: An Optimal and Automatic Method of Radiometric Intercalibration for DMSP-OLS NTL Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2046-2057 (2021) - [j8]Qi Meng, Zhongsheng Hou:
Active Disturbance Rejection Based Repetitive Learning Control With Applications in Power Inverters. IEEE Trans. Control. Syst. Technol. 29(5): 2038-2048 (2021) - [c21]Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu:
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. ICML 2021: 10849-10858 - [c20]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT 2021: 3865-3878 - [c19]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905 - [c18]Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu:
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD. NeurIPS 2021: 26080-26090 - [c17]Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Conversations Powered by Cross-Lingual Knowledge. SIGIR 2021: 1442-1451 - [c16]Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu:
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. UAI 2021: 834-843 - [i24]Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma:
Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR abs/2101.02916 (2021) - [i23]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR abs/2104.04946 (2021) - [i22]Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu:
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR abs/2106.00026 (2021) - [i21]Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR abs/2106.04166 (2021) - [i20]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR abs/2106.06406 (2021) - [i19]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021) - [i18]Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma:
Momentum Doesn't Change the Implicit Bias. CoRR abs/2110.03891 (2021) - [i17]Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu:
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR abs/2110.13750 (2021) - [i16]Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu:
Equivariant vector field network for many-body system modeling. CoRR abs/2110.14811 (2021) - 2020
- [c15]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI 2020: 1992-1998 - [c14]Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang:
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI 2020: 2669-2675 - [i15]Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Dynamic of Stochastic Gradient Descent with State-Dependent Noise. CoRR abs/2006.13719 (2020) - [i14]Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma:
Constructing Basis Path Set by Eliminating Path Dependency. CoRR abs/2007.00657 (2020) - [i13]Bohan Wang, Qi Meng, Wei Chen:
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. CoRR abs/2012.06244 (2020)
2010 – 2019
- 2019
- [j7]Qi Meng, Jiaxiang Zhao, Wei Xu, Liang Li:
A construction of the high-rate regular quasi-cyclic LDPC codes. EURASIP J. Wirel. Commun. Netw. 2019: 14 (2019) - [j6]Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu:
Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing 337: 46-57 (2019) - [j5]Qi Meng, Min Zhou, Jiali Liu, Hairong Dong:
Pedestrian Evacuation With Herding Behavior in the View-Limited Condition. IEEE Trans. Comput. Soc. Syst. 6(3): 567-575 (2019) - [j4]Qi Meng, Zhongsheng Hou:
Data-driven multi-inverter cooperative control for voltage tracking and current sharing in islanded AC microgrids. Trans. Inst. Meas. Control 41(11): 3145-3157 (2019) - [c13]Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-Path Norm. AAAI 2019: 5925-5932 - [c12]Qi Meng, Peng Gong, Yu Liu, Huibo Li, Cheying Li, Dan Shan:
An Interactive Interface for Information Exchanging between QualNet and Virtual Machine for IP Based Network. ICACT 2019: 320-324 - [c11]Xiang Gao, Peng Gong, Yu Liu, Qi Meng, Cheying Li, Dan Shan:
An Interactive Interface of QualNet for DigSilent in Power Grid Simulation. ICACT 2019: 330-333 - [c10]Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu:
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. ICLR (Poster) 2019 - [i12]Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR abs/1903.02237 (2019) - [i11]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR abs/1903.05926 (2019) - [i10]Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma:
Interpreting Basis Path Set in Neural Networks. CoRR abs/1910.09402 (2019) - 2018
- [c9]Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Differential Equations for Modeling Asynchronous Algorithms. IJCAI 2018: 2220-2226 - [i9]Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu:
Optimizing Neural Networks in the Equivalent Class Space. CoRR abs/1802.03713 (2018) - [i8]Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Differential Equations for Modeling Asynchronous Algorithms. CoRR abs/1805.02991 (2018) - [i7]Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-path Norm. CoRR abs/1809.07122 (2018) - [i6]Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu:
Target Transfer Q-Learning and Its Convergence Analysis. CoRR abs/1809.08923 (2018) - 2017
- [j3]Di Fan, Ying Wang, Qi Meng, Xuan Ti, Maoyong Cao:
Novel method of locating ultrasonic wave heads based on spectrum-subtracted sub-band singular spectrum entropy. J. Comput. Methods Sci. Eng. 17(4): 733-743 (2017) - [j2]Chunde Yang, Qi Meng:
一种融合ViBe与多特征提取的微动目标检测算法 (Algorithm of Micro-motion Object Detection Based on ViBe and Multi-feature Extraction). 计算机科学 44(2): 309-312 (2017) - [c8]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI 2017: 2329-2335 - [c7]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI 2017: 2336-2342 - [c6]Boris Bacic, Qi Meng, Kam Yuk Chan:
Privacy Preservation for eSports: A Case Study Towards Augmented Video Golf Coaching System. DeSE 2017: 169-174 - [c5]Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML 2017: 4120-4129 - [c4]Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu:
LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS 2017: 3146-3154 - [i5]Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu:
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR abs/1709.10432 (2017) - 2016
- [c3]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Accelerated Stochastic Gradient Descent. IJCAI 2016: 1853-1859 - [c2]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS 2016: 1271-1279 - [i4]Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR abs/1609.08326 (2016) - [i3]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR abs/1609.08397 (2016) - [i2]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR abs/1609.08435 (2016) - [i1]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR abs/1611.01276 (2016) - 2014
- [c1]Pengfei Li, Qi Meng, Weihong Zhang:
Estimation of the number of crop seeds based on image identification. ComComAP 2014: 243-248 - 2013
- [j1]Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Qi Meng:
A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems. Appl. Soft Comput. 13(3): 1528-1542 (2013)
Coauthor Index
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last updated on 2024-11-07 21:35 CET by the dblp team
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