Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Li Li

Tsinghua University

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

Dec 04, 2020
Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

  Access Paper or Ask Questions

Learnability and Complexity of Quantum Samples

Oct 22, 2020
Murphy Yuezhen Niu, Andrew M. Dai, Li Li, Augustus Odena, Zhengli Zhao, Vadim Smelyanskyi, Hartmut Neven, Sergio Boixo


  Access Paper or Ask Questions

Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics

Sep 17, 2020
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke


  Access Paper or Ask Questions

Explainable Recommender Systems via Resolving Learning Representations

Aug 21, 2020
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi


  Access Paper or Ask Questions

Defending Adversarial Examples via DNN Bottleneck Reinforcement

Aug 12, 2020
Wenqing Liu, Miaojing Shi, Teddy Furon, Li Li

* ACM MM 2020 - Full Paper 

  Access Paper or Ask Questions

Active Crowd Counting with Limited Supervision

Jul 14, 2020
Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li

* ECCV2020 camera ready 

  Access Paper or Ask Questions

Energy-based View of Retrosynthesis

Jul 14, 2020
Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai


  Access Paper or Ask Questions

Scaling Symbolic Methods using Gradients for Neural Model Explanation

Jun 29, 2020
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley


  Access Paper or Ask Questions

A New Modal Autoencoder for Functionally Independent Feature Extraction

Jun 25, 2020
Yuzhu Guo, Kang Pan, Simeng Li, Zongchang Han, Kexin Wang, Li Li


  Access Paper or Ask Questions

Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application

May 26, 2020
Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang


  Access Paper or Ask Questions

Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics

May 07, 2020
Yijun Quan, Chang-Tsun Li, Yujue Zhou, Li Li

* Paper accepted to IEEE International Conference on Multimedia and Expo 2020 (ICME 2020) 

  Access Paper or Ask Questions

Incorporating Multiple Cluster Centers for Multi-Label Learning

Apr 17, 2020
Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li

* 18 pages with 4 figures and 4 tables 

  Access Paper or Ask Questions

Vanishing Point Guided Natural Image Stitching

Apr 06, 2020
Kai Chen, Jian Yao, Jingmin Tu, Yahui Liu, Yinxuan Li, Li Li

* 13 pages, 16 figures 

  Access Paper or Ask Questions

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

Jan 27, 2020
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen


  Access Paper or Ask Questions

Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations

Oct 24, 2019
Fei Hu, Wei Liu, Ajmal Saeed Mian, Li Li


  Access Paper or Ask Questions

An Improved Historical Embedding without Alignment

Oct 19, 2019
Xiaofei Xu, Ke Deng, Fei Hu, Li Li

* 9 pages, 5 figures, conference 

  Access Paper or Ask Questions

Click-Through Rate Prediction with the User Memory Network

Jul 20, 2019
Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Zhaojie Liu, Yanlong Du

* Accepted by DLP-KDD 2019 (1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data; with KDD 2019). arXiv admin note: text overlap with arXiv:1906.04365, arXiv:1906.03776 

  Access Paper or Ask Questions

Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction

Jul 19, 2019
Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du

* Accepted by KDD 2019 

  Access Paper or Ask Questions

Cooperative Lane Changing via Deep Reinforcement Learning

Jun 20, 2019
Guan Wang, Jianming Hu, Zhiheng Li, Li Li

* 7 pages, 6 figures 

  Access Paper or Ask Questions

A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles

Apr 22, 2019
Yadong Xing, Can Zhao, ZhiHeng Li, Yi Zhang, Li Li, Fei-Yue Wang, Xiao Wang, Yujing Wang, Yuelong Su, Dongpu Cao

* 6 pages, 7 figures 

  Access Paper or Ask Questions

Decoding Molecular Graph Embeddings with Reinforcement Learning

Apr 18, 2019
Steven Kearnes, Li Li, Patrick Riley

* Preliminary work. Under review at the ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data. Copyright 2019 by the author(s) 

  Access Paper or Ask Questions

Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling

Mar 11, 2019
Xinyu Peng, Li Li, Fei-Yue Wang

* 10 pages, 4 figures, for journal 

  Access Paper or Ask Questions

A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning

Feb 28, 2019
Chaoyi Sun, Qing Li, Li Li

* 10 figures, 3 tables 

  Access Paper or Ask Questions

Neural-Guided Symbolic Regression with Semantic Prior

Jan 23, 2019
Li Li, Minjie Fan, Rishabh Singh, Patrick Riley


  Access Paper or Ask Questions

Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier

Dec 16, 2018
Li Li, Hirokazu Kameoka, Shoji Makino

* Submitted to ICASSP 2019 

  Access Paper or Ask Questions

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

Nov 13, 2018
Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li


  Access Paper or Ask Questions