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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) 

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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

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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

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Explainable Recommender Systems via Resolving Learning Representations

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

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Defending Adversarial Examples via DNN Bottleneck Reinforcement

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

* ACM MM 2020 - Full Paper 

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Active Crowd Counting with Limited Supervision

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

* ECCV2020 camera ready 

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Energy-based View of Retrosynthesis

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

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Scaling Symbolic Methods using Gradients for Neural Model Explanation

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

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A New Modal Autoencoder for Functionally Independent Feature Extraction

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

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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

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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) 

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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 

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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 

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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

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

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

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An Improved Historical Embedding without Alignment

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

* 9 pages, 5 figures, conference 

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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 

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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 

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Cooperative Lane Changing via Deep Reinforcement Learning

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

* 7 pages, 6 figures 

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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 

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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) 

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Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling

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

* 10 pages, 4 figures, for journal 

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

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

* 10 figures, 3 tables 

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Neural-Guided Symbolic Regression with Semantic Prior

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

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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 

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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

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