Search Results for author: Chao Liu

Found 65 papers, 18 papers with code

LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis

no code implementations COLING 2022 Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan

This paper proposes a unified generative multi-task framework that can solve multiple ABSA tasks by controlling the type of task prompts consisting of multiple element prompts.

Ranked #5 on Aspect-Based Sentiment Analysis (ABSA) on TASD (using extra training data)

Aspect-Based Sentiment Analysis (ABSA)

Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance

no code implementations21 Sep 2023 Hao Chen, Yusen Wu, Phuong Nguyen, Chao Liu, Yelena Yesha

This merging process not only enhances the model performance by converging to a better local optimum, but also minimizes computational costs, offering an efficient and explicit learning process integrated with stochastic gradient descent.

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection

no code implementations29 Aug 2023 Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio

We present a learning-based system to reduce these artifacts without resorting to complex acquisition mechanisms like alternating exposures or costly processing that are typical of high dynamic range (HDR) imaging.

LLMRec: Benchmarking Large Language Models on Recommendation Task

1 code implementation23 Aug 2023 Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

The benchmark results indicate that LLMs displayed only moderate proficiency in accuracy-based tasks such as sequential and direct recommendation.

Benchmarking Explanation Generation +1

FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow

no code implementations14 Aug 2023 Mufeng Yao, Jiaqi Wang, Jinlong Peng, Mingmin Chi, Chao Liu

Given the extracted flow, the flow-guided feature augmentation is designed to augment the object detection feature based on its optical flow, which improves the detection of small objects.

motion prediction Multiple Object Tracking +3

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

no code implementations3 May 2023 Alex Trevithick, Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e. g., face portrait) in real-time.

Data Augmentation Novel View Synthesis

Is ChatGPT a Good Recommender? A Preliminary Study

1 code implementation20 Apr 2023 Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, Yan Zhang

We conduct human evaluations on two explainability-oriented tasks to more accurately evaluate the quality of contents generated by different models.

Recommendation Systems

BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning

1 code implementation14 Apr 2023 Cheng Liao, Han Hu, Xuekun Yuan, Haifeng Li, Chao Liu, Chunyang Liu, Gui Fu, Yulin Ding, Qing Zhu

This contrastive learning strategy allowed us to inject the semantics of buildings into a pipeline for the detection of changes, which is achieved by increasing the distinguishability of features of buildings from those of non-buildings.

Change Detection Contrastive Learning

Corner Detection Based on Multi-directional Gabor Filters with Multi-scales

no code implementations8 Mar 2023 Huaqing Wang, Junfeng Jing, Ning li, Weichuan Zhang, Chao Liu

In this work, the capability of the Gabor function to discriminate the intensity changes of step edges, L-shaped corners, Y-shaped or T-shaped corners, X-shaped corners, and star-shaped corners are investigated.

3D Reconstruction

An Error-Surface-Based Fractional Motion Estimation Algorithm and Hardware Implementation for VVC

no code implementations13 Feb 2023 Shushi Chen, Leilei Huang, Jiahao Liu, Chao Liu, Yibo Fan

In this context, this paper proposes an error-surface-based FME algorithm and the corresponding hardware implementation.

Motion Estimation

Towards Cooperative Flight Control Using Visual-Attention

no code implementations21 Dec 2022 Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin Hasani, Daniela Rus

We propose an air-guardian system that facilitates cooperation between a pilot with eye tracking and a parallel end-to-end neural control system.

Feature Importance

CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval

no code implementations13 Sep 2022 Zijie Wang, Aichun Zhu, Jingyi Xue, Xili Wan, Chao Liu, Tian Wang, Yifeng Li

Indeed, color information is an important decision-making accordance for retrieval, but the over-reliance on color would distract the model from other key clues (e. g. texture information, structural information, etc.

Decision Making Person Retrieval +3

Asynchronous Training Schemes in Distributed Learning with Time Delay

no code implementations28 Aug 2022 Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee

In the context of distributed deep learning, the issue of stale weights or gradients could result in poor algorithmic performance.

Immunofluorescence Capillary Imaging Segmentation: Cases Study

1 code implementation14 Jul 2022 Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu

Our work offers a benchmark dataset for training deep learning models for capillary image segmentation and provides a potential tool for future capillary research.

Benchmarking Image Segmentation +1

SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds

1 code implementation27 Jun 2022 Chao Liu, Jianwei Guo, Dong-Ming Yan, Zhirong Liang, Xiaopeng Zhang, Zhanglin Cheng

Registering urban point clouds is a quite challenging task due to the large-scale, noise and data incompleteness of LiDAR scanning data.

Semantic Segmentation

TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

1 code implementation27 Apr 2022 Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian

However, such a method strictly restricts entities on the hyper-ellipsoid surfaces which limits the optimization of entity distribution, leading to suboptimal performance of knowledge graph completion.

Knowledge Graph Embedding Link Prediction +1

S4OD: Semi-Supervised learning for Single-Stage Object Detection

no code implementations9 Apr 2022 Yueming Zhang, Xingxu Yao, Chao Liu, Feng Chen, Xiaolin Song, Tengfei Xing, Runbo Hu, Hua Chai, Pengfei Xu, Guoshan Zhang

In this paper, we design a dynamic self-adaptive threshold (DSAT) strategy in classification branch, which can automatically select pseudo labels to achieve an optimal trade-off between quality and quantity.

object-detection Object Detection +2

MixNN: A design for protecting deep learning models

no code implementations28 Mar 2022 Chao Liu, Hao Chen, Yusen Wu, Rui Jin

In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters.

Implementation of an Automated Learning System for Non-experts

1 code implementation26 Mar 2022 Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang

This paper detailed the engineering system implementation of an automated machine learning system called YMIR, which completely relies on graphical interface to interact with users.

BIG-bench Machine Learning Management

Recursive Least Squares Policy Control with Echo State Network

no code implementations13 Jan 2022 Chunyuan Zhang, Chao Liu, Qi Song, Jie Zhao

However, limited by the strong correlation among sequential samples of the agent, ESN-based policy control algorithms are difficult to use the recursive least squares (RLS) algorithm to update the ESN's parameters.

Time Series Time Series Analysis

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification

no code implementations4 Jan 2022 Yan Pang, Chao Liu

To improve functionality, we propose a new transparent network called Graph Decipher to investigate the message-passing mechanism by prioritizing in two main components: the graph structure and node attributes, at the graph, feature, and global levels on a graph under the node classification task.

Node Classification

Learned Image Compression with Separate Hyperprior Decoders

no code implementations31 Oct 2021 Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan

Learned image compression techniques have achieved considerable development in recent years.

Image Compression MS-SSIM +1

Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning

no code implementations5 Sep 2021 Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha

In addition, Byzantine faults including software, hardware, network issues occur in distributed systems which also lead to a negative impact on the prediction outcome.

BIG-bench Machine Learning

Learned Video Compression with Residual Prediction and Loop Filter

1 code implementation19 Aug 2021 Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan

To reduce the complexity, a light ResNet structure is used as the backbone for both RP-Net and LF-Net.

Motion Compensation Video Compression

Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models

no code implementations CVPR 2021 Benjamin Eckart, Wentao Yuan, Chao Liu, Jan Kautz

In this work, we introduce a general method for 3D self-supervised representation learning that 1) remains agnostic to the underlying neural network architecture, and 2) specifically leverages the geometric nature of 3D point cloud data.

Point Cloud Segmentation Representation Learning +3

BLOCKEYE: Hunting For DeFi Attacks on Blockchain

no code implementations4 Mar 2021 Bin Wang, Han Liu, Chao Liu, Zhiqiang Yang, Qian Ren, Huixuan Zheng, Hong Lei

We applied BLOCKEYE in several popular DeFi projects and managed to discover potential security attacks that are unreported before.

Cryptography and Security Computers and Society

Planets Across Space and Time (PAST). I. Characterizing the Memberships of Galactic Components and Stellar Ages: Revisiting the Kinematic Methods and Applying to Planet Host Stars

no code implementations18 Feb 2021 Di-Chang. Chen, Ji Wei Xie, Ji-Lin. Zhou, Subo Dong, Chao Liu, Hai-Feng Wang, Mao-Sheng Xiang, Yang Huang, Ali Luo, Zheng Zheng

The revised kinematic method and AVR as well as the stellar catalog of kinematic properties and ages lay foundation for future studies on exoplanets from two dimensions of space and time in the Galactic context.

Earth and Planetary Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics

The Flare and Warp of the Young Stellar Disk traced with LAMOST DR5 OB-type stars

no code implementations1 Feb 2021 Yang Yu, Hai-Feng Wang, Wen-Yuan Cui, Lin-Lin Li, Chao Liu, Bo Zhang, Hao Tian, Zhen-Yan Huo, Jie Ju, Zhi-Cun Liu, Fang Wen, Shuai Feng

We present analysis of the spatial density structure for the outer disk from 8$-$14 \, kpc with the LAMOST DR5 13534 OB-type stars and observe similar flaring on north and south sides of the disk implying that the flaring structure is symmetrical about the Galactic plane, for which the scale height at different Galactocentric distance is from 0. 14 to 0. 5 \, kpc.

Astrophysics of Galaxies

Exploring the Galactic Anticenter substructure with LAMOST & Gaia DR2

no code implementations7 Jan 2021 Jing Li, Xiang-Xiang Xue, Chao Liu, Bo Zhang, Hans-Walter Rix, Jeffrey L. Carlin, Chengqun Yang, Rene A. Mendez, Jing Zhong, Hao Tian, Lan Zhang, Yan Xu, Yaqian Wu, Gang Zhao, Ruixiang Chang

Their location in [$\alpha$/M] vs. [M/H] space is more metal poor than typical thin disk stars, with [$\alpha$/M] \textbf{lower} than the thick disk.

Astrophysics of Galaxies

UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement

no code implementations24 Dec 2020 Yangyang Qu, Kai Chen, Chao Liu, Yongsheng Ou

To address this problem, we propose a real-time unsupervised generative adversarial network (GAN) containing multiple discriminators, i. e. a multi-scale discriminator, a texture discriminator, and a color discriminator.

Low-Light Image Enhancement

Possible evidence of hydrogen emission in the first-overtone and multi-mode RR Lyrae variables

no code implementations24 Dec 2020 Xiao-Wei Duan, Xiao-Dian Chen, Li-Cai Deng, Fan Yang, Chao Liu, Anupam Bhardwaj, Hua-Wei Zhang

The nature of shock waves in non-fundamental mode RR Lyrae stars remains a mystery because of limited spectroscopic observations.

Solar and Stellar Astrophysics

LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks

no code implementations24 Dec 2020 Yangyang Qu, Chao Liu, Yongsheng Ou

Due to the lack of real-world datasets, they usually perform poorly when generalized in practice in terms of loss of image edge and color information.

Low-Light Image Enhancement

A QP-adaptive Mechanism for CNN-based Filter in Video Coding

no code implementations25 Oct 2020 Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan

Convolutional neural network (CNN)-based filters have achieved great success in video coding.


Reverse-engineering Bar Charts Using Neural Networks

1 code implementation5 Sep 2020 Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, Ying Zhao

Reverse-engineering bar charts extracts textual and numeric information from the visual representations of bar charts to support application scenarios that require the underlying information.

object-detection Object Detection

On the Replicability and Reproducibility of Deep Learning in Software Engineering

no code implementations25 Jun 2020 Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, Xiaohu Yang

Experimental results show the importance of replicability and reproducibility, where the reported performance of a DL model could not be replicated for an unstable optimization process.

Feature Engineering

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

no code implementations29 May 2020 Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li

CodeMatcher first collects metadata for query words to identify irrelevant/noisy ones, then iteratively performs fuzzy search with important query words on the codebase that is indexed by the Elasticsearch tool, and finally reranks a set of returned candidate code according to how the tokens in the candidate code snippet sequentially matched the important words in a query.

Code Search Information Retrieval +1

Dual Learning-based Video Coding with Inception Dense Blocks

no code implementations22 Nov 2019 Chao Liu, Heming Sun, Junan Chen, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto, Xiaoyang Zeng, Yibo Fan

This method is mainly composed of two parts: intra prediction and reconstruction filtering.

Salient Instance Segmentation via Subitizing and Clustering

no code implementations29 Sep 2019 Jialun Pei, He Tang, Chao Liu, Chuanbo Chen

The experimental results on both salient region detection and salient instance segmentation datasets demonstrate the satisfactory performance of our framework.

Clustering Instance Segmentation +1

Deriving the stellar labels of LAMOST spectra with Stellar LAbel Machine (SLAM)

1 code implementation23 Aug 2019 Bo Zhang, Chao Liu, Li-Cai Deng

To illustrate this capability, we test the performance of SLAM on stars ranging from Teff$\sim$4000 to $\sim$8000 K trained on LAMOST spectra and stellar labels.

Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Future stability of the FLRW spacetime for a large class of perfect fluids

1 code implementation28 Oct 2018 Chao Liu, Changhua Wei

Several previous results as specific examples can be covered in the results of this article.

General Relativity and Quantum Cosmology Analysis of PDEs Primary 35A01, Secondary 35Q31, 35Q76, 83C05, 83F05

Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems

no code implementations31 May 2018 Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar

Performance monitoring, anomaly detection, and root-cause analysis in complex cyber-physical systems (CPSs) are often highly intractable due to widely diverse operational modes, disparate data types, and complex fault propagation mechanisms.

Anomaly Detection Time Series +1

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application

no code implementations18 Apr 2018 Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang

In recent years, an increasing popularity of deep learning model for intelligent condition monitoring and diagnosis as well as prognostics used for mechanical systems and structures has been observed.

Domain Adaptation Transfer Learning

Cosmological Newtonian limits on large spacetime scales

1 code implementation28 Nov 2017 Chao Liu, Todd A. Oliynyk

We establish the existence of $1$-parameter families of $\epsilon$-dependent solutions to the Einstein-Euler equations with a positive cosmological constant $\Lambda >0$ and a linear equation of state $p=\epsilon^2 K \rho$, $0<K\leq 1/3$, for the parameter values $0<\epsilon < \epsilon_0$.

General Relativity and Quantum Cosmology Analysis of PDEs

Matting and Depth Recovery of Thin Structures Using a Focal Stack

no code implementations CVPR 2017 Chao Liu, Srinivasa G. Narasimhan, Artur W. Dubrawski

For macro-scale, we evaluate our method on scenes with complex 3D thin structures such as tree branches and grass.

Image Matting

Energy Prediction using Spatiotemporal Pattern Networks

no code implementations3 Feb 2017 Zhanhong Jiang, Chao Liu, Adedotun Akintayo, Gregor Henze, Soumik Sarkar

This paper presents a novel data-driven technique based on the spatiotemporal pattern network (STPN) for energy/power prediction for complex dynamical systems.

Newtonian Limits of Isolated Cosmological Systems on Long Time Scales

1 code implementation14 Jan 2017 Chao Liu, Todd A. Oliynyk

We establish the existence of $1$-parameter families of $\epsilon$-dependent solutions to the Einstein-Euler equations with a positive cosmological constant $\Lambda >0$ and a linear equation of state $p=\epsilon^2 K \rho$, $0<K\leq 1/3$, for the parameter values $0<\epsilon < \epsilon_0$.

General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Analysis of PDEs

Data-driven root-cause analysis for distributed system anomalies

no code implementations20 May 2016 Chao Liu, Kin Gwn Lore, Soumik Sarkar

Modern distributed cyber-physical systems encounter a large variety of anomalies and in many cases, they are vulnerable to catastrophic fault propagation scenarios due to strong connectivity among the sub-systems.

Multi-class Classification

An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS

no code implementations24 Dec 2015 Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

Modern distributed cyber-physical systems (CPSs) encounter a large variety of physical faults and cyber anomalies and in many cases, they are vulnerable to catastrophic fault propagation scenarios due to strong connectivity among the sub-systems.

Anomaly Detection

Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care

no code implementations CVPR 2015 Chao Liu, Hernando Gomez, Srinivasa Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun

Our method is able to extract microcirculatory measurements that are consistent with clinical intuition and it has a potential to become a useful tool in critical care medicine.

Video Stabilization

Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions

no code implementations CVPR 2013 Chao Liu, Geifei Yang, Jinwei Gu

We built an LED-based multispectral dome, with which we have acquired a BTF database of a variety of materials and demonstrated the effectiveness of the proposed approach for material classification.

Classification General Classification +1

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