Qi Meng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 80

Top Topics

Stochastic Gradient Descent

Speech Emotion Recognition

Diffusion Models

Top Venues

Publications

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 (2024)
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)
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 (2024)
Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR (2024)
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)
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 (2024)
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) (2024)
Xixiang Zhang, Qi Meng, Qiwen Tan, Yun Dong, Yan Chen, Zhixiang Tan
GCN-based Entity Relation Extraction Method for Power Marketing Data. AAIA (2023)
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 (2023)
Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng
Power-law Dynamic arising from machine learning. CoRR (2023)
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)
Rui Zhang, Qi Meng, Zhi-Ming Ma
Deciphering and integrating invariants for neural operator learning with various physical mechanisms. CoRR (2023)
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)
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) (2023)
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)
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 (2023)
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 (2023)
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 (2022)
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)
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 (2022)
Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen
Provable Adaptivity in Adam. CoRR (2022)
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) (2022)
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)
Qi Meng
Blockchain-based Security Governance Framework of Agricultural Product Traceability Data. BIOTC (2022)
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)
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)
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 (2022)
Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma
Momentum Doesn't Change the Implicit Bias. CoRR (2021)
Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
Conversations Powered by Cross-Lingual Knowledge. SIGIR (2021)
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)
Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR (2021)
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)
Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma
Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR (2021)
Qi Meng, Zhongsheng Hou
Active Disturbance Rejection Based Repetitive Learning Control With Applications in Power Inverters. IEEE Trans. Control. Syst. Technol. 29 (5) (2021)
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 (2021)
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 (2021)
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 (2021)
Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
Interpreting the Basis Path Set in Neural Networks. J. Syst. Sci. Complex. 34 (6) (2021)
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 (2021)
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)
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 (2021)
Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. ICML (2021)
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)
Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR (2021)
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 (2021)
Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI (2020)
Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Dynamic of Stochastic Gradient Descent with State-Dependent Noise. CoRR (2020)
Bohan Wang, Qi Meng, Wei Chen
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. CoRR (2020)
Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
Constructing Basis Path Set by Eliminating Path Dependency. CoRR (2020)
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI (2020)
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)
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 (2019)
Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
Interpreting Basis Path Set in Neural Networks. CoRR (2019)
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) (2019)
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) (2019)
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)
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)
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)
Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu
Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing 337 (2019)
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR (2019)
Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR (2019)
Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
Target Transfer Q-Learning and Its Convergence Analysis. CoRR (2018)
Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
Differential Equations for Modeling Asynchronous Algorithms. CoRR (2018)
Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
Differential Equations for Modeling Asynchronous Algorithms. IJCAI (2018)
Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
Capacity Control of ReLU Neural Networks by Basis-path Norm. CoRR (2018)
Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu
Optimizing Neural Networks in the Equivalent Class Space. CoRR (2018)
Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR (2017)
Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML (2017)
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) (2017)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI (2017)
Boris Bacic, Qi Meng, Kam Yuk Chan
Privacy Preservation for eSports: A Case Study Towards Augmented Video Golf Coaching System. DeSE (2017)
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) (2017)
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)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI (2017)
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 (2016)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR (2016)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Accelerated Stochastic Gradient Descent. IJCAI (2016)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR (2016)
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR (2016)
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)
Pengfei Li, Qi Meng, Weihong Zhang
Estimation of the number of crop seeds based on image identification. ComComAP (2014)
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) (2013)