Search Results for author: Nan Zhang

Found 21 papers, 6 papers with code

STAPI: An Automatic Scraper for Extracting Iterative Title-Text Structure from Web Documents

1 code implementation LREC 2022 Nan Zhang, Shomir Wilson, Prasenjit Mitra

Therefore, we propose the first title-text dataset on web documents that incorporates a wide variety of domains to facilitate downstream training.

Headline Generation

Fair Abstractive Summarization of Diverse Perspectives

1 code implementation14 Nov 2023 Yusen Zhang, Nan Zhang, Yixin Liu, Alexander Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen McKeown, Rui Zhang

We first formally define fairness in abstractive summarization as not underrepresenting perspectives of any groups of people and propose four reference-free automatic metrics measuring the differences between target and source perspectives.

Abstractive Text Summarization Fairness

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization

1 code implementation3 Nov 2023 Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang

In this paper, we investigate and improve faithfulness in summarization on a broad range of medical summarization tasks.

Contrastive Learning

A Digital Twin Approach for Adaptive Compliance in Cyber-Physical Systems: Case of Smart Warehouse Logistics

no code implementations11 Oct 2023 Nan Zhang, Rami Bahsoon, Nikos Tziritas, Georgios Theodoropoulos

Engineering regulatory compliance in complex Cyber-Physical Systems (CPS), such as smart warehouse logistics, is challenging due to the open and dynamic nature of these systems, scales, and unpredictable modes of human-robot interactions that can be best learnt at runtime.

EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices

no code implementations17 Aug 2023 Liang Wang, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Kaiyu Hu, Guilin Jiang, Jing Xiao

In this paper, we introduce EdgeMA, a practical and efficient video analytics system designed to adapt models to shifts in real-world video streams over time, addressing the data drift problem.

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning

no code implementations27 Jun 2023 Liang Wang, Kai Lu, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Jing Xiao

This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video of changing scenes.

Knowledge Distillation

Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering

no code implementations CVPR 2023 Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li

Recently, self-attention networks achieve impressive performance in point cloud segmentation due to their superiority in modeling long-range dependencies.

Point Cloud Segmentation

Coordinating Cross-modal Distillation for Molecular Property Prediction

no code implementations30 Nov 2022 Hao Zhang, Nan Zhang, Ruixin Zhang, Lei Shen, Yingyi Zhang, Meng Liu

The existing graph methods have demonstrated that 3D geometric information is significant for better performance in MPP.

Graph Regression Graph Representation Learning +4

CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors

no code implementations26 Nov 2022 Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng

This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop at the European Conference on Computer Vision (ECCV 2022).

COVID-19 Diagnosis Representation Learning

Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins

no code implementations19 Jul 2022 Nan Zhang, Rami Bahsoon, Nikos Tziritas, Georgios Theodoropoulos

DT can leverage fundamentals of Dynamic Data-Driven Applications Systems (DDDAS) bidirectional symbiotic sensing feedback loops for its continuous updates.

Decision Making Interpretable Machine Learning

DT-SV: A Transformer-based Time-domain Approach for Speaker Verification

no code implementations26 May 2022 Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao

Therefore, we propose an approach to derive utterance-level speaker embeddings via a Transformer architecture that uses a novel loss function named diffluence loss to integrate the feature information of different Transformer layers.

Speaker Verification

Knowledge Equivalence in Digital Twins of Intelligent Systems

1 code implementation15 Apr 2022 Nan Zhang, Rami Bahsoon, Nikos Tziritas, Georgios Theodoropoulos

Maintaining such an equivalent model is challenging, especially when the physical systems being modelled are intelligent and autonomous.


Super Reinforcement Bros: Playing Super Mario Bros with Reinforcement Learning

1 code implementation CUHK Course IERG5350 2020 Nan Zhang, Zixing Song

We plan to apply and adjust some well-known reinforcement learning (RL) algorithms to train an automatic agent to play the 1985 Nintendo game Super Mario Bros under a speedrun rule.

reinforcement-learning Reinforcement Learning (RL)

For Intelligent and Higher Spectrum Efficiency: A Variable Packing Ratio Transmission System Based on Faster-than-Nyquist and Deep Learning

no code implementations1 Aug 2020 Peiyang Song, Nan Zhang, Lin Cai, Guo Li, Fengkui Gong

With the rapid development of various services in wireless communications, spectrum resource has become increasingly valuable.

Leveraging History for Faster Sampling of Online Social Networks

1 code implementation ‏‏‎ ‎ 2020 Zhuojie Zhou, Nan Zhang, Gautam Das

Random walk fits naturally with this problem because, for most online social networks, the only query we can issue through the interface is to retrieve the neighbors of a given node (i. e., no access to the full graph topology).

Real Time 3D Indoor Human Image Capturing Based on FMCW Radar

no code implementations 2019 IEEE International Conference on Multimedia and Expo (ICME) 2019 Hangqing Guo, Nan Zhang, Wenjun Shi, Saeed ALI-AlQarni, Shaoen Wu, Honggang Wang

Compared to traditional camera-based computer vision and imaging, radio imaging based on wireless sensing does not require lighting and is friendly to privacy.

RF-based Pose Estimation

Understanding and Mitigating the Security Risks of Voice-Controlled Third-Party Skills on Amazon Alexa and Google Home

no code implementations3 May 2018 Nan Zhang, Xianghang Mi, Xuan Feng, Xiao-Feng Wang, Yuan Tian, Feng Qian

The significance of our findings have already been acknowledged by Amazon and Google, and further evidenced by the risky skills discovered on Alexa and Google markets by the new detection systems we built.

Cryptography and Security

Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations

no code implementations ICCV 2015 Wei Feng, Fei-Peng Tian, Qian Zhang, Nan Zhang, Liang Wan, Jizhou Sun

To guarantee detection sensitivity and accuracy of minute changes, in an observation, we capture a group of images under multiple illuminations, which need only to be roughly aligned to the last time lighting conditions.

Change Detection

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