Search Results for author: Qian Lin

Found 18 papers, 5 papers with code

A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection

1 code implementation COLING 2020 Qian Lin, Souvik Kundu, Hwee Tou Ng

One of the major challenges is that a dialogue system may generate an undesired utterance leading to a dialogue breakdown, which degrades the overall interaction quality.

Language Modelling Word Embeddings

Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution

no code implementations18 Oct 2020 Xiaoyu Xiang, Qian Lin, Jan P. Allebach

In this paper, we aim to generate an artifact-free high-resolution image from a low-resolution one compressed with an arbitrary quality factor by exploring joint compression artifacts reduction (CAR) and super-resolution (SR) tasks.

Face Detection Optical Character Recognition +3

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines

no code implementations17 Oct 2020 Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi

In this paper, we identify two main challenges that arise during the deployment of machine learning pipelines, and address them with the design of versioning for an end-to-end analytics system MLCask.

The Blessing and the Curse of the Noise behind Facial Landmark Annotations

no code implementations30 Jul 2020 Xiaoyu Xiang, Yang Cheng, Shaoyuan Xu, Qian Lin, Jan Allebach

The evolving algorithms for 2D facial landmark detection empower people to recognize faces, analyze facial expressions, etc.

Face Alignment Facial Landmark Detection

Learning to Identify Follow-Up Questions in Conversational Question Answering

no code implementations ACL 2020 Souvik Kundu, Qian Lin, Hwee Tou Ng

Despite recent progress in conversational question answering, most prior work does not focus on follow-up questions.

Question Answering

LoCEC: Local Community-based Edge Classification in Large Online Social Networks

no code implementations11 Feb 2020 Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen

To tackle the challenges, we propose a Local Community-based Edge Classification (LoCEC) framework that classifies user relationships in a social network into real-world social connection types.

Classification Edge Classification +2

Print Defect Mapping with Semantic Segmentation

no code implementations27 Jan 2020 Augusto C. Valente, Cristina Wada, Deangela Neves, Deangeli Neves, Fábio V. M. Perez, Guilherme A. S. Megeto, Marcos H. Cascone, Otavio Gomes, Qian Lin

Efficient automated print defect mapping is valuable to the printing industry since such defects directly influence customer-perceived printer quality and manually mapping them is cost-ineffective.

Feature Engineering Semantic Segmentation

Multi-View Matching Network for 6D Pose Estimation

no code implementations27 Nov 2019 Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp

Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects.

6D Pose Estimation Object Detection

Blockchains vs. Distributed Databases: Dichotomy and Fusion

1 code implementation3 Oct 2019 Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Meihui Zhang

As blockchain evolves into another data management system, the natural question is how it compares against distributed database systems.

Databases Performance

The Disruptions of 5G on Data-driven Technologies and Applications

no code implementations6 Sep 2019 Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang

With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management.

Networking and Internet Architecture Databases Distributed, Parallel, and Cluster Computing

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

3 code implementations EMNLP 2018 Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang

Experiments on WMT14 translation tasks demonstrate that ATR-based neural machine translation can yield competitive performance on English- German and English-French language pairs in terms of both translation quality and speed.

Chinese Word Segmentation Machine Translation +1

Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

1 code implementation24 Jul 2018 Jing Yang, Biao Zhang, Yue Qin, Xiangwen Zhang, Qian Lin, Jinsong Su

Although neural machine translation(NMT) yields promising translation performance, it unfortunately suffers from over- and under-translation is- sues [Tu et al., 2016], of which studies have become research hotspots in NMT.

Machine Translation

Towards Scaling Blockchain Systems via Sharding

3 code implementations2 Apr 2018 Hung Dang, Tien Tuan Anh Dinh, Dumitrel Loghin, Ee-Chien Chang, Qian Lin, Beng Chin Ooi

In this work, we take a principled approach to apply sharding, which is a well-studied and proven technique to scale out databases, to blockchain systems in order to improve their transaction throughput at scale.

Distributed, Parallel, and Cluster Computing Cryptography and Security Databases

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications

no code implementations14 Feb 2018 Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Wanzeng Fu, Beng Chin Ooi, Pingcheng Ruan

By integrating the core application properties into the storage, ForkBase not only delivers high performance but also reduces development effort.

Databases Cryptography and Security Distributed, Parallel, and Cluster Computing

Signed Support Recovery for Single Index Models in High-Dimensions

no code implementations7 Nov 2015 Matey Neykov, Qian Lin, Jun S. Liu

When $s=O(p^{1-\delta})$ for some $\delta>0$, we demonstrate that both procedures can succeed in recovering the support of $\boldsymbol{\beta}$ as long as the rescaled sample size $\kappa=\frac{n}{s\log(p-s)}$ is larger than a certain critical threshold.

Dynamic indifference pricing via the G-expectation

no code implementations30 Mar 2015 Qian Lin

We study the dynamic indifference pricing with ambiguity preferences.

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