Search Results for author: Yuchen Li

Found 14 papers, 9 papers with code

Privacy Threats Analysis to Secure Federated Learning

no code implementations24 Jun 2021 Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang

Federated learning is emerging as a machine learning technique that trains a model across multiple decentralized parties.

Federated Learning

The Limitations of Limited Context for Constituency Parsing

no code implementations ACL 2021 Yuchen Li, Andrej Risteski

Concretely, we ground this question in the sandbox of probabilistic context-free-grammars (PCFGs), and identify a key aspect of the representational power of these approaches: the amount and directionality of context that the predictor has access to when forced to make parsing decision.

Constituency Parsing Language Modelling

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)

1 code implementation28 Jul 2020 Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan

We first propose a generic edge sampling (ES) algorithm for estimating the number of instances of any temporal motif.

GRMR: Generalized Regret-Minimizing Representatives

no code implementations19 Jul 2020 Yanhao Wang, Michael Mathioudakis, Yuchen Li, Kian-Lee Tan

Extracting a small subset of representative tuples from a large database is an important task in multi-criteria decision making.

Data Structures and Algorithms Databases

A Fully Dynamic Algorithm for k-Regret Minimizing Sets

1 code implementation29 May 2020 Yanhao Wang, Yuchen Li, Raymond Chi-Wing Wong, Kian-Lee Tan

Selecting a small set of representatives from a large database is important in many applications such as multi-criteria decision making, web search, and recommendation.

Databases Data Structures and Algorithms

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity

1 code implementation4 Sep 2019 Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han

Extensive experiments on two large real-world datasets demonstrate the effectiveness of HyperMine and the utility of modeling context granularity.

Knowledge Graphs

Variations on the Chebyshev-Lagrange Activation Function

1 code implementation24 Jun 2019 Yuchen Li, Frank Rudzicz, Jekaterina Novikova

We seek to improve the data efficiency of neural networks and present novel implementations of parameterized piece-wise polynomial activation functions.

Coresets for Minimum Enclosing Balls over Sliding Windows

1 code implementation9 May 2019 Yanhao Wang, Yuchen Li, Kian-Lee Tan

This paper investigates the problem of maintaining a coreset to preserve the minimum enclosing ball (MEB) for a sliding window of points that are continuously updated in a data stream.

Semi-Supervised Few-Shot Learning with Prototypical Random Walks

1 code implementation6 Mar 2019 Ahmed Ayyad, Yuchen Li, Nassir Navab, Shadi Albarqouni, Mohamed Elhoseiny

We develop a random walk semi-supervised loss that enables the network to learn representations that are compact and well-separated.

Few-Shot Learning

Context-Sensitive Malicious Spelling Error Correction

no code implementations23 Jan 2019 Hongyu Gong, Yuchen Li, Suma Bhat, Pramod Viswanath

Misspelled words of the malicious kind work by changing specific keywords and are intended to thwart existing automated applications for cyber-environment control such as harassing content detection on the Internet and email spam detection.

Spelling Correction Word Embeddings

ChainGAN: A sequential approach to GANs

1 code implementation ICLR 2019 Safwan Hossain, Kiarash Jamali, Yuchen Li, Frank Rudzicz

Current approaches attempt to learn the transformation from a noise sample to a generated data sample in one shot.

Efficient Representative Subset Selection over Sliding Windows

1 code implementation15 Jun 2017 Yanhao Wang, Yuchen Li, Kian-Lee Tan

By keeping much fewer checkpoints, KW$^{+}$ achieves higher efficiency than KW while still guaranteeing a $\frac{1-\varepsilon'}{2+2d}$-approximate solution for SMDK.

Real-Time Influence Maximization on Dynamic Social Streams

no code implementations6 Feb 2017 Yanhao Wang, Qi Fan, Yuchen Li, Kian-Lee Tan

Influence maximization (IM), which selects a set of $k$ users (called seeds) to maximize the influence spread over a social network, is a fundamental problem in a wide range of applications such as viral marketing and network monitoring.

Social and Information Networks Data Structures and Algorithms

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