Qiang Liu

发表

Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds

John W. Fisher, Dilin Wang, Qiang Liu, 2016, UAI.

Positioning and functional study of murals in high-speed rail VIP lounge

Qiang Liu, Yanan Jiang, 2010, 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design 1.

Structured Stein Variational Inference for Continuous Graphical Models pdf

Dilin Wang, Qiang Liu, Zhe Zeng, 2017, ArXiv.

Effects and Modes of Air Defense Forces Operation Supported by Space Information

Qiang Liu, Han-feng Zhang, Xian-min Liu, 2018 .

Create a good learning environment and motivate active learning enthusiasm

Qiang Liu, Weihong Bi, Guangwei Fu, 2017, International Topical Meeting on Education and Training in Optics and Photonics.

Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework

Qiang Liu, Qiang Liu, 2014 .

Distributed Estimation, Information Loss and Exponential Families

Qiang Liu, Alexander T. Ihler, Qiang Liu, 2014, NIPS.

Particle Filtered MCMC-MLE with Connections to Contrastive Divergence

Padhraic Smyth, Qiang Liu, Alexander T. Ihler, 2010, ICML.

A heterogeneous peer-to-peer network testbed

Li Cui, Qiang Liu, Guang-Hua Yang, 2009, 2009 First International Conference on Ubiquitous and Future Networks.

Kernel based simplification of canopy reflectance model using partial least square regression

Yuanyuan Wang, Guangjian Yan, Xihan Mu, 2007, Geoinformatics.

Marginal Structured SVM with Hidden Variables pdf

Wei Ping, Qiang Liu, Alexander T. Ihler, 2014, ICML.

Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE pdf

Dilin Wang, Qiang Liu, Qiang Liu, 2017, ArXiv.

Research on remote sensing classification based on improved Kohonen neural network

Ying Xia, Qinhuo Liu, Qiang Liu, 2010, 2010 2nd International Conference on Computer Engineering and Technology.

Variational Inference for Crowdsourcing

Jian Peng, Qiang Liu, Alexander T. Ihler, 2012, NIPS.

Anti-dynamic-crosstalk method for single photon LIDAR detection

Mali Gong, Xing Fu, Qiang Liu, 2017, Other Conferences.

DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing

Qiang Liu, Tao Han, 2019, MobiHoc.

Research on Modeling Method of Information Network Integrated Networking Based on 3D GIS

Fei Xiao, Qiang Liu, Kai Luo, 2018, 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC).

Learning Infinite RBMs with Frank-Wolfe

Wei Ping, Qiang Liu, Alexander T. Ihler, 2017, NIPS.

The improved histogram matching algorithm based on sliding windows

Yongming Du, Biao Cao, Qinhuo Liu, 2011, 2011 International Conference on Remote Sensing, Environment and Transportation Engineering.

Variational Planning for Graph-based MDPs

Qiang Liu, Qiang Cheng, Alexander T. Ihler, 2013, NIPS.

Belief Propagation for Structured Decision Making

Qiang Liu, Alexander T. Ihler, Qiang Liu, 2012, UAI.

Estimating replicate time shifts using Gaussian process regression

Padhraic Smyth, Qiang Liu, Alexander T. Ihler, 2010, Bioinform..

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning pdf

Xi Chen, Qiang Liu, Jian Peng, 2019, ArXiv.

A Method to Improve the Retinex Image Enhancement Algorithm Based on Wavelet Theory

Qiang Liu, Pei Xue, Guoxin Xue, 2010, 2010 International Symposium on Computational Intelligence and Design.

Method of Watershed with Threshold Decision for Multiscale Traffic Image Segmentation

Qiang Liu, Pei Xue, Guoxin Xue, 2010, 2010 International Symposium on Computational Intelligence and Design.

Estimating the Partition Function by Discriminance Sampling

John W. Fisher, Jian Peng, Qiang Liu, 2015, UAI.

Group Multilateral Relation Analysis Based on Large Data

Yong Xu, Guangxuan Chen, Qiang Liu, 2017 .

Video object segmentation using an improved level set

King Ngi Ngan, Qiang Liu, K. Ngan, 2010, 2010 International Symposium on Intelligent Signal Processing and Communication Systems.

Bootstrap Model Aggregation for Distributed Statistical Learning

Qiang Liu, Jun Han, 2016, NIPS.

Speed and Resource Optimization of BFGS Quasi-Newton Implementation on FPGA Using Inexact Line Search Method for Neural Network Training

Qiang Liu, Jia Liu, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

Bounding the Partition Function using Holder's Inequality

Qiang Liu, Alexander T. Ihler, Qiang Liu, 2011, ICML.

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Dilin Wang, Qiang Liu, Qiang Liu, 2016, NIPS.

Deep Learning Feature Representation Applied to Cross Dataset Pedestrian Re-identification

Qiang Liu, Hongmei Xieand Yanggang Zhou, 2018 .

Exploration via Hindsight Goal Generation

Yuan Zhou, Qiang Liu, Jian Peng, 2019, NeurIPS.

Learning Scale Free Networks by Reweighted L1 regularization

Qiang Liu, Alexander T. Ihler, Qiang Liu, 2011, AISTATS.

Sample-efficient Policy Optimization with Stein Control Variate pdf

Hao Liu, Jian Peng, Qiang Liu, 2017, ArXiv.

Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?

Qiang Liu, Alexander T. Ihler, Mark Steyvers, 2013, NIPS.

Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models

Dilin Wang, Qiang Liu, Qiang Liu, 2019, ICML.

Coal Preparation Circulating Water Treatment Using Coarse Tail Coal-Slime as Filter Medium

Qiang Liu, Ji Hui Li, Cong Lan, 2014 .

Detection probability limitation of a pulsed Gm-APD laser ranging system with turbulence effects

Bin Li, Qiang Liu, Zhengbiao Ouyang, 2017, Other Conferences.

Boosting crowdsourcing with expert labels: Local vs. global effects

John W. Fisher, Qiang Liu, Alexander T. Ihler, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel

Colin Wei, Tengyu Ma, Qiang Liu, 2018, NeurIPS.

Learning with Blocks: Composite Likelihood and Contrastive Divergence

Padhraic Smyth, Qiang Liu, Alexander T. Ihler, 2010, AISTATS.

Improving Neural Language Modeling via Adversarial Training pdf

Dilin Wang, Qiang Liu, ChengYue Gong, 2019, ICML.

Camshift based real-time multiple faces match tracking

Hongliang Li, Canhui Cai, Qiang Liu, 2007, 2007 International Symposium on Intelligent Signal Processing and Communication Systems.

Learning Belief Representations for Imitation Learning in POMDPs

Jian Peng, Qiang Liu, Joel Lehman, 2019, UAI.

Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning pdf

Dilin Wang, Qiang Liu, Qiang Liu, 2016, ArXiv.

Stochastic Variance Reduction for Policy Gradient Estimation pdf

Jian Peng, Qiang Liu, Tianbing Xu, 2017, ArXiv.

Stein Variational Gradient Descent Without Gradient

Qiang Liu, Jun Han, Qiang Liu, 2018, ICML.

The recognition of the importance of comprehensive modeling

Qiang Liu, 2008, 2008 9th International Conference on Computer-Aided Industrial Design and Conceptual Design.

A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme

Qi Liu, Qiang Liu, Yanyun Zou, 2018 .

Stein Variational Message Passing for Continuous Graphical Models

Dilin Wang, Qiang Liu, Zhe Zeng, 2017, ICML.

Polar Codes with Memory pdf

Xiaofeng Zhou, Liping Li, Qiang Liu, 2019, ArXiv.

Negative Tree Reweighted Belief Propagation

Qiang Liu, Alexander T. Ihler, Qiang Liu, 2010, UAI.

Stein Variational Policy Gradient pdf

Yang Liu, Jian Peng, Qiang Liu, 2017, UAI.

Learning to Draw Samples with Amortized Stein Variational Gradient Descent

Dilin Wang, Qiang Liu, Yihao Feng, 2017, UAI.

Design and Application of Energy Consumption Acquisition System Based on MTConnect

Jian Wang, Yao Xiao, Qiang Liu, 2018, 2018 IEEE International Conference on Mechatronics and Automation (ICMA).

Research on Kinematic Modeling and Analysis Methods of UR Robot

Qiang Liu, Weidong Hao, Daoguo Yang, 2018, 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC).

Stein Variational Adaptive Importance Sampling

Qiang Liu, Jun Han, Qiang Liu, 2017, UAI.

Energy-Efficient Virtual Radio Access Networks for Multi-Operators Cooperative Cellular Networks

Nirwan Ansari, Tao Han, Qiang Liu, 2019, IEEE Transactions on Green Communications and Networking.

Time-frequency Extraction Algorithm of Harmonic Signal from Lorenz Mixed Signal

Qiang Liu, Qun Ding, Erfu Wang, 2012 .

Probabilistic Variational Bounds for Graphical Models

John W. Fisher, Qiang Liu, Alexander T. Ihler, 2015, NIPS.

Preliminary analysis of static marking guide system of high-speed rail

Qiang Liu, Lin Chai, 2010, 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design 1.

Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Qiang Liu, Xin T. Tong, Qiang Liu, 2019, Stat. Comput..

On Data Transfers Over Wide-Area Dedicated Connections

Qiang Liu, Nageswara S. V. Rao, 2017 .

Notice of RetractionExtended Class Point Approach of size estimation for OO product

Wei Zhou, Qiang Liu, Wei Zhou, 2010, 2010 2nd International Conference on Computer Engineering and Technology.

Fundamental characteristics of being an artist

Qiang Liu, 2008, 2008 9th International Conference on Computer-Aided Industrial Design and Conceptual Design.

Decomposition Bounds for Marginal MAP

Wei Ping, Qiang Liu, Alexander T. Ihler, 2015, NIPS.

Arbitrarily shaped object coding based on H.264/AVC

King Ngi Ngan, Qiang Liu, 2009, 2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

Distributed Parameter Estimation via Pseudo-likelihood

Qiang Liu, Alexander T. Ihler, 2012, ICML.

HEp-2 cell image classification method based on very deep convolutional networks with small datasets

Jianping Yin, Qiang Liu, Long Gao, 2017, International Conference on Digital Image Processing.

Genetic Algorithm-based Study on Flow Allocation in a Multicommodity Stochastic-flow Network with Unreliable Nodes

Hailin Zhang, Qiang Liu, Xiaoxian Ma, 2007 .

Automatic On-chip Memory Minimization for Data Reuse

Qiang Liu, Peter Y. K. Cheung, George A. Constantinides, 2007 .

Variational algorithms for marginal MAP pdf

Qiang Liu, Alexander T. Ihler, Qiang Liu, 2011, J. Mach. Learn. Res..

An object classification method based on the improved bacterial foraging optimisation algorithm

Qi Tong, Sanyou Zeng, Qiang Liu, 2017, Int. J. Wirel. Mob. Comput..

Performance of State Estimation and Fusion with Elliptical Motion Constraints

Qiang Liu, Nageswara S. V. Rao, 2017, MFI 2017.

Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition pdf

Yuke Zhu, Peter Stone, Qiang Liu, 2021, ICML.

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization pdf

Qiang Liu, Lemeng Wu, Chengyue Gong, 2021, ArXiv.

Deep Active Learning for Text Classification with Diverse Interpretations

Shu Wu, Qiang Liu, Yanqiao Zhu, 2021, CIKM.

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

Qiang Liu, Mao Ye, Dengyong Zhou, 2021, AAAI.

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds pdf

Qiang Liu, Yihao Feng, Na Zhang, 2021, ICLR.

Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set pdf

Qiang Liu, Mao Ye, 2021, ArXiv.

Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

Nicu Sebe, Xianglong Liu, Jingkuan Song, 2021, Pattern Recognit..

Conflict-Averse Gradient Descent for Multi-task Learning pdf

Peter Stone, Qiang Liu, Xiaojie Jin, 2021, NeurIPS.

Network Compression via Central Filter pdf

Shukai Duan, Qiang Liu, Xiaofang Hu, 2021, ArXiv.

Improve Vision Transformers Training by Suppressing Over-smoothing pdf

Dilin Wang, Qiang Liu, Vikas Chandra, 2021, ArXiv.

Centroid Transformers: Learning to Abstract with Attention pdf

Qiang Liu, Lemeng Wu, Xingchao Liu, 2021, ArXiv.

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE) pdf

Qiang Liu, Dongxiao Zhang, Yingtao Luo, 2021, Physical Review Research.

DNN2LR: Automatic Feature Crossing for Credit Scoring pdf

Qiang Liu, Zhaocheng Liu, Yuntian Chen, 2021, ArXiv.

AlphaNet: Improved Training of Supernet with Alpha-Divergence

Dilin Wang, Qiang Liu, Vikas Chandra, 2021, ICML.

Centroid Approximation for Bootstrap pdf

Qiang Liu, Mao Ye, 2021, ArXiv.

Training Robust Deep Neural Networks via Adversarial Noise Propagation

Xianglong Liu, Chongzhi Zhang, Aishan Liu, 2019, IEEE Transactions on Image Processing.

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients pdf

Jun Zhu, Qiang Liu, Wenbo Hu, 2021, ArXiv.

Speeding up Deep Model Training by Sharing Weights and Then Unsharing pdf

Qiang Liu, Denny Zhou, Shuo Yang, 2021, ArXiv.

Simplifying Graph Convolutional Networks as Matrix Factorization

Qiang Liu, Zhaocheng Liu, Haoli Zhang, 2021, APWeb/WAIM.

Vision Transformers with Patch Diversification

Dilin Wang, Qiang Liu, Vikas Chandra, 2021, 2104.12753.

Mining Cross Features for Financial Credit Risk Assessment

Qiang Liu, Zhaocheng Liu, Yuntian Chen, 2021, CIKM.

MaxUp: Lightweight Adversarial Training with Data Augmentation Improves Neural Network Training

Qiang Liu, Mao Ye, Tongzheng Ren, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments pdf

Qiang Liu, Mao Ye, Lizhen Nie, 2021, ICLR.

An Optimization View on Dynamic Routing Between Capsules

Qiang Liu, Dilin Wang, Qiang Liu, 2018, ICLR.