Qi Meng - RankMe

108 papers A* 21A 1B 1C 1Journal 69Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AXON: An Automated Netlist Optimization Framework for High-Speed Adders. CoRR Tiantian Yang, Xuanle Ren, Qingdian Wan, Qi Meng
2026	J	`jnl`	An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis. Expert Syst. Appl. Changbo He, Qi Meng, Xuefang Xu, Peng Chen, Pengfei Liang, Jiahui Cao
2026	J	`jnl`	DeRed: Enhancing third-party library detection in binaries via deceptive reuse mitigation. Comput. Secur. Shengjia Chang, Shouguo Yang, Xiao Deng, Qi Meng, Dan Wang, Bin Wang, Baojiang Cui, Shaocong Feng, Haoran Yu
2026	J	`jnl`	Digital twin-driven dynamic prediction of operation status and process optimization for flexible production line. Expert Syst. Appl. Qi Meng, Tianliang Hu, Shuaichang Zhou, Jingkai Li
2026	J	`jnl`	Impact assessment method for disturbance events in complex manufacturing scenarios. Expert Syst. Appl. Jingkai Li, Tianliang Hu, Qi Meng, Shuaichang Zhou, Songhua Ma
2026	J	`jnl`	MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing. CoRR Yang Liu, Jinxuan Cai, Yishen Li, Qi Meng, Zedi Liu, Xin Li, Chen Qian, Chuan Shi, Cheng Yang
2026	J	`jnl`	MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning. CoRR Chenglong Wang, Yifu Huo, Yang Gan, Qiaozhi He, Qi Meng, Bei Li, Yan Wang, Junfu Liu, Tianhua Zhou, Jingbo Zhu, Tong Xiao
2026	J	`jnl`	UniFluids: Unified Neural Operator Learning with Conditional Flow-matching. CoRR Haosen Li, Qi Meng, Jiahao Li, Rui Zhang, Ruihua Song, Liang Ma, Zhi-Ming Ma
2025	J	`jnl`	A Multiscale Feature Residual Network With Staged Optimization for Unsupervised Cross-Domain Fault Diagnosis. IEEE Trans. Instrum. Meas. Changbo He, Qi Meng, Peng Chen, Yaqiang Jin, Wei Fan, Zhibo Yang
2025	A*	`conf`	Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs. IJCAI Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng
2025	J	`jnl`	Graph-Based Approximate Nearest Neighbor Search Revisited: Theoretical Analysis and Optimization. CoRR Xinran Ma, Zhaoqi Zhou, Chuan Zhou, Qi Meng, Zaijiu Shang, Guoliang Li, Zhiming Ma
2025	J	`jnl`	GraphBSSN: A simple yet effective generative method for node classification in class-imbalanced graphs. Knowl. Based Syst. Qi Meng, Gen Liu, Guangkai Wu, Hui Zhou, Zhongying Zhao
2025	A*	`conf`	HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. ICLR Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger
2025	J	`jnl`	Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2025	J	`jnl`	Multi-Scale Feature Fusion Network Model for Wireless Capsule Endoscopic Intestinal Lesion Detection. Comput. Mater. Continua Shiren Ye, Qi Meng, Shuo Zhang, Hui Wang
2025	J	`jnl`	OmniFluids: Unified Physics Pre-trained Modeling of Fluid Dynamics. CoRR Rui Zhang, Qi Meng, Han Wan, Yang Liu, Zhi-Ming Ma, Hao Sun
2025	J	`jnl`	Riemannian Neural Geodesic Interpolant. CoRR Jiawen Wu, Bingguang Chen, Yuyi Zhou, Qi Meng, Rongchan Zhu, Zhi-Ming Ma
2025	J	`jnl`	SPDEBench: An Extensive Benchmark for Learning Regular and Singular Stochastic PDEs. CoRR Zheyan Li, Yuantu Zhu, Hao Ni, Siran Li, Bingguang Chen, Qi Meng
2025	—	`conf`	TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding. ACL (1) Yuting Wei, Qi Meng, Yuanxing Xu, Bin Wu
2025	J	`jnl`	Task-oriented efficient communication in federated learning via regularized sparse randomized networks and NLQ. EURASIP J. Wirel. Commun. Netw. Liyuan Zhang, Zhaoli Chen, Zhipeng Meng, Xuhua Ai, Qi Meng
2024	J	`jnl`	A product performance rapid simulation approach driven by digital twin data: Part 1. For variable product structures. Adv. Eng. Informatics Lili Dong, Tianliang Hu, Pengjun Yue, Qi Meng, Songhua Ma
2024	J	`jnl`	A product performance rapid simulation approach driven by digital twin data: Part 2. For variable operating conditions. Adv. Eng. Informatics Lili Dong, Tianliang Hu, Junrui Li, Qi Meng, Songhua Ma
2024	—	`conf`	Anonymous Smart Grid System Based on Revocable Ring Signatures. DSC Xuhua Ai, Yiting Huang, Yuan Yin, Yun Dong, Qi Meng, Denghao Tu, Liyuan Zhang
2024	B	`conf`	Disease Detection Module for SBCE Images Using Modified YOLOv8. SMC Shiren Ye, Shuo Zhang, Qi Meng, Hui Wang, Jiaqun Zhu
2024	J	`jnl`	Energy Optimization in Statistical AoI-Aware MEC Systems. IEEE Commun. Lett. Qi Meng, Hancheng Lu, Langtian Qin
2024	J	`jnl`	HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. CoRR Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger
2024	—	`conf`	MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. ACL (1) Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren
2024	J	`jnl`	MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren
2024	J	`jnl`	On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond. CoRR Bohan Wang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Wei Chen
2024	A*	`conf`	Provable Adaptivity of Adam under Non-uniform Smoothness. KDD Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen
2024	J	`jnl`	Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu
2024	—	`conf`	Research on the Design of Evaluation System for ideological and Political Education Courses Based on Artificial Neural Network. ICAIE Xiaorui Yu, Qi Meng
2023	J	`jnl`	Deciphering and integrating invariants for neural operator learning with various physical mechanisms. CoRR Rui Zhang, Qi Meng, Zhi-Ming Ma
2023	A*	`conf`	Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu
2023	J	`jnl`	EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui
2023	—	`conf`	GCN-based Entity Relation Extraction Method for Power Marketing Data. AAIA Xixiang Zhang, Qi Meng, Qiwen Tan, Yun Dong, Yan Chen, Zhixiang Tan
2023	J	`jnl`	Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu
2023	J	`jnl`	Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2023	A*	`conf`	NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	J	`jnl`	NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	J	`jnl`	Power-law Dynamic arising from machine learning. CoRR Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng
2023	A*	`conf`	𝒪-GNN: incorporating ring priors into molecular modeling. ICLR Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2022	—	`conf`	Blockchain-based Security Governance Framework of Agricultural Product Traceability Data. BIOTC Qi Meng
2022	J	`jnl`	Constructing the Basis Path Set by Eliminating the Path Dependency. J. Syst. Sci. Complex. Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
2022	J	`jnl`	Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu
2022	A*	`conf`	Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2022	J	`jnl`	Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search. CoRR Zihan Wang, Qi Meng, HaiFeng Lan, Xinrui Zhang, Kehao Guo, Akshat Gupta
2022	—	`conf`	Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search. SLT Zihan Wang, Qi Meng, HaiFeng Lan, Xinrui Zhang, Kehao Guo, Akshat Gupta
2022	J	`jnl`	Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu
2022	A*	`conf`	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
2022	J	`jnl`	Provable Adaptivity in Adam. CoRR Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen
2022	A*	`conf`	SE(3) Equivariant Graph Neural Networks with Complete Local Frames. ICML Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu
2021	J	`jnl`	Active Disturbance Rejection Based Repetitive Learning Control With Applications in Power Inverters. IEEE Trans. Control. Syst. Technol. Qi Meng, Zhongsheng Hou
2021	A*	`conf`	Conversations Powered by Cross-Lingual Knowledge. SIGIR Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
2021	J	`jnl`	Equivariant vector field network for many-body system modeling. CoRR Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu
2021	J	`jnl`	Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2021	J	`jnl`	Interpreting the Basis Path Set in Neural Networks. J. Syst. Sci. Complex. Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
2021	J	`jnl`	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. Chang Li, Xi Li, Tian Li, Qi Meng, Wenjie Yu
2021	J	`jnl`	Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu
2021	J	`jnl`	Momentum Doesn't Change the Implicit Bias. CoRR Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma
2021	—	`conf`	Optimized Methods for Online Monitoring of L-Glutamic Acid Crystallization. CONF-SPML Timing Yang, Chen Jiang, Qi Meng
2021	A*	`conf`	Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD. NeurIPS Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
2021	J	`jnl`	Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
2021	A	`conf`	Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. UAI Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu
2021	J	`jnl`	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
2021	A*	`conf`	R-Drop: Regularized Dropout for Neural Networks. NeurIPS Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
2021	J	`jnl`	R-Drop: Regularized Dropout for Neural Networks. CoRR Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
2021	A*	`conf`	The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. ICML Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu
2021	J	`jnl`	Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma
2021	—	`conf`	UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
2021	J	`jnl`	UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
2020	J	`jnl`	Constructing Basis Path Set by Eliminating Path Dependency. CoRR Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
2020	J	`jnl`	Dynamic of Stochastic Gradient Descent with State-Dependent Noise. CoRR Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2020	A*	`conf`	I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
2020	A*	`conf`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
2020	J	`jnl`	The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. CoRR Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu
2019	J	`jnl`	A construction of the high-rate regular quasi-cyclic LDPC codes. EURASIP J. Wirel. Commun. Netw. Qi Meng, Jiaxiang Zhao, Wei Xu, Liang Li
2019	—	`conf`	An Interactive Interface for Information Exchanging between QualNet and Virtual Machine for IP Based Network. ICACT Qi Meng, Peng Gong, Yu Liu, Huibo Li, Cheying Li, Dan Shan
2019	—	`conf`	An Interactive Interface of QualNet for DigSilent in Power Grid Simulation. ICACT Xiang Gao, Peng Gong, Yu Liu, Qi Meng, Cheying Li, Dan Shan
2019	A*	`conf`	Capacity Control of ReLU Neural Networks by Basis-Path Norm. AAAI Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
2019	J	`jnl`	Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu
2019	J	`jnl`	Data-driven multi-inverter cooperative control for voltage tracking and current sharing in islanded AC microgrids. Trans. Inst. Meas. Control Qi Meng, Zhongsheng Hou
2019	—	`conf`	G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. ICLR (Poster) Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu
2019	J	`jnl`	Interpreting Basis Path Set in Neural Networks. CoRR Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
2019	J	`jnl`	Pedestrian Evacuation With Herding Behavior in the View-Limited Condition. IEEE Trans. Comput. Soc. Syst. Qi Meng, Min Zhou, Jiali Liu, Hairong Dong
2019	J	`jnl`	Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2019	J	`jnl`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu
2018	J	`jnl`	Capacity Control of ReLU Neural Networks by Basis-path Norm. CoRR Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
2018	A*	`conf`	Differential Equations for Modeling Asynchronous Algorithms. IJCAI Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
2018	J	`jnl`	Differential Equations for Modeling Asynchronous Algorithms. CoRR Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
2018	J	`jnl`	Optimizing Neural Networks in the Equivalent Class Space. CoRR Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu
2018	J	`jnl`	Target Transfer Q-Learning and Its Convergence Analysis. CoRR Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2017	J	`jnl`	Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Generalization Error Bounds for Optimization Algorithms via Stability. AAAI Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2017	—	`conf`	LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
2017	J	`jnl`	Novel method of locating ultrasonic wave heads based on spectrum-subtracted sub-band singular spectrum entropy. J. Comput. Methods Sci. Eng. Di Fan, Ying Wang, Qi Meng, Xuan Ti, Maoyong Cao
2017	C	`conf`	Privacy Preservation for eSports: A Case Study Towards Augmented Video Golf Coaching System. DeSE Boris Bacic, Qi Meng, Kam Yuk Chan
2017	J	`jnl`	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 Chunde Yang, Qi Meng
2016	—	`conf`	A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016	A*	`conf`	Asynchronous Accelerated Stochastic Gradient Descent. IJCAI Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Generalization Error Bounds for Optimization Algorithms via Stability. CoRR Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2014	—	`conf`	Estimation of the number of crop seeds based on image identification. ComComAP Pengfei Li, Qi Meng, Weihong Zhang
2013	J	`jnl`	A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems. Appl. Soft Comput. Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Qi Meng