Chun-Liang Li

发表

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Nonparametric Density Estimation under Adversarial Losses

Chun-Liang Li, Barnabás Póczos, Manzil Zaheer, 2018, NeurIPS.

CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding

B. Póczos, R. Mandelbaum, Siamak Ravanbakhsh, 2017, Monthly Notices of the Royal Astronomical Society.

MMD with Kernel Learning In practice we use finite samples from distributions to estimate

Chun-Liang Li, 2017 .

The strong gravitational lens finding challenge

M. Meneghetti, J. Kneib, F. Courbin, 2018, Astronomy & Astrophysics.

Nonparametric Density Estimation under Adversarial Losses

M. Zaheer, B. Póczos, Chun-Liang Li, 2018, NeurIPS.

Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration

Chun-Liang Li, Hsuan-Tien Lin, Si-An Chen, 2019, ArXiv.

MMD GAN: Towards Deeper Understanding of Moment Matching Network

Yiming Yang, Yu Cheng, Chun-Liang Li, 2017, NIPS.

Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2013, KDD Cup '13.

Interpretable Sequence Learning for COVID-19 Forecasting

Long T. Le, Sercan Ö. Arik, Tomas Pfister, 2020, NeurIPS.

Effective string processing and matching for author disambiguation

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2013, KDD Cup '13.

Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA pdf

Chun-Liang Li, Hsuan-Tien Lin, Chi-Jen Lu, 2015, AISTATS.

One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models

Chun-Liang Li, Aswin C. Sankaranarayanan, Barnabas Poczos, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A Unified View of cGANs with and without Classifiers pdf

Chun-Liang Li, Hsuan-Tien Lin, Si-An Chen, 2021, NeurIPS.

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

Tomas Pfister, Jinsung Yoon, Kihyuk Sohn, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Classifier Two Sample Test for Video Anomaly Detections

Yusha Liu, Chun-Liang Li, Barnabás Póczos, 2018, BMVC.

Deep generative models for galaxy image simulations

B. Póczos, P. Freeman, R. Mandelbaum, 2020, Monthly Notices of the Royal Astronomical Society.

Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM pdf

Chun-Liang Li, Barnabás Póczos, Siamak Ravanbakhsh, 2016, ArXiv.

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

Chun-Liang Li, Derek Nowrouzezahrai, Hsueh-Ti Derek Liu, 2018, ICLR.

LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds

Yaser Sheikh, Chun-Liang Li, Barnabás Póczos, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models

Chun-Liang Li, Kirthevasan Kandasamy, Barnabás Póczos, 2016, AISTATS.

Learning Generative Models using Transformations

Chun-liang Li, Chun-Liang Li, 2020 .

Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel Methods

Chun-Liang Li, Barnabás Póczos, B. Póczos, 2016, UAI.

Data-driven Random Fourier Features using Stein Effect

Yiming Yang, Chun-Liang Li, Barnabás Póczos, 2017, IJCAI.

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification

Chun-Liang Li, Hsuan-Tien Lin, Hsuan-Tien Lin, 2014, ICML.

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Kernel Change-point Detection with Auxiliary Deep Generative Models

B. Póczos, Yiming Yang, Wei-Cheng Chang, 2018, ICLR.

Active Learning Using Hint Information

Chun-Liang Li, Hsuan-Tien Lin, Chun-Sung Ferng, 2015, Neural Computation.

Implicit Kernel Learning pdf

Yiming Yang, Chun-Liang Li, Barnabás Póczos, 2019, AISTATS.

Re-Benchmarking Pool-Based Active Learning for Binary Classification

Chun-Liang Li, Hsuan-Tien Lin, Po-Yi Lu, 2023, ArXiv.

Unsupervised program synthesis for images by sampling without replacement

Barnabas Poczos, Chun-Liang Li, Chenghui Zhou, 2020, UAI.

Unsupervised Program Synthesis for Images using Tree-Structured LSTM pdf

Chun-Liang Li, Barnabas Poczos, Chenghui Zhou, 2020, ArXiv.