Search Results for author: Jing Chen

Found 45 papers, 13 papers with code

Lexicon of Changes: Towards the Evaluation of Diachronic Semantic Shift in Chinese

no code implementations LChange (ACL) 2022 Jing Chen, Emmanuele Chersoni, Chu-Ren Huang

Recent research has brought a wind of using computational approaches to the classic topic of semantic change, aiming to tackle one of the most challenging issues in the evolution of human language.

Learning Event-Driven Video Deblurring and Interpolation

no code implementations ECCV 2020 Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren

Event-based sensors, which have a response if the change of pixel intensity exceeds a triggering threshold, can capture high-speed motion with microsecond accuracy.


A DenseNet-based method for decoding auditory spatial attention with EEG

1 code implementation14 Sep 2023 Xiran Xu, Bo wang, Yujie Yan, Xihong Wu, Jing Chen

ASAD methods are inspired by the brain lateralization of cortical neural responses during the processing of auditory spatial attention, and show promising performance for the task of auditory attention decoding (AAD) with neural recordings.


Agents: An Open-source Framework for Autonomous Language Agents

1 code implementation14 Sep 2023 Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan

Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network

no code implementations29 Jul 2023 Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang

In recent decades, Generative Adversarial Network (GAN) and its variants have achieved unprecedented success in image synthesis.

Image Generation

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

1 code implementation22 May 2023 Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang

This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning.

Event Extraction graph construction +2

Online Learning Under A Separable Stochastic Approximation Framework

no code implementations12 May 2023 Min Gan, Xiang-xiang Su, Guang-Yong Chen, Jing Chen

In one routine of the proposed algorithm, the linear parameters are updated by the recursive least squares (RLS) algorithm, which is equivalent to a stochastic Newton method; then, based on the updated linear parameters, the nonlinear parameters are updated by the stochastic gradient method (SGD).

CodeKGC: Code Language Model for Generative Knowledge Graph Construction

2 code implementations18 Apr 2023 Zhen Bi, Jing Chen, Yinuo Jiang, Feiyu Xiong, Wei Guo, Huajun Chen, Ningyu Zhang

However, large generative language model trained on structured data such as code has demonstrated impressive capability in understanding natural language for structural prediction and reasoning tasks.

Code Completion graph construction +1

Revisiting k-NN for Fine-tuning Pre-trained Language Models

1 code implementation18 Apr 2023 Lei LI, Jing Chen, Bozhong Tian, Ningyu Zhang

Pre-trained Language Models (PLMs), as parametric-based eager learners, have become the de-facto choice for current paradigms of Natural Language Processing (NLP).

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model

no code implementations23 May 2022 Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng

High-concurrency asynchronous training upon parameter server (PS) architecture and high-performance synchronous training upon all-reduce (AR) architecture are the most commonly deployed distributed training modes for recommendation models.

Recommendation Systems

Trajectory Prediction with Graph-based Dual-scale Context Fusion

1 code implementation2 Nov 2021 Lu Zhang, Peiliang Li, Jing Chen, Shaojie Shen

In this paper, we present a graph-based trajectory prediction network named the Dual Scale Predictor (DSP), which encodes both the static and dynamical driving context in a hierarchical manner.

Motion Forecasting motion prediction +1

Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network

no code implementations3 Mar 2021 Zhen Fu, Bo wang, Xihong Wu, Jing Chen

In this paper, we proposed novel convolutional recurrent neural network (CRNN) based regression model and classification model, and compared them with both the linear model and the state-of-the-art DNN models.

Classification EEG +3

Computational efficient deep neural network with difference attention maps for facial action unit detection

no code implementations24 Nov 2020 Jing Chen, Chenhui Wang, Kejun Wang, Meichen Liu

A large number of experimental results show that the proposed CEDNN is obviously better than the traditional deep learning method on DISFA+ and CK+ datasets.

Action Unit Detection Facial Action Unit Detection

HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild

no code implementations24 Jul 2020 Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang

Existing multimodal emotion databases in the real-world conditions are few and small, with a limited number of subjects and expressed in a single language.

Emotion Recognition Facial Expression Recognition +1

Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology

no code implementations22 Mar 2020 Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen

With the aim of providing a comprehensive overview for researchers who are interested in developing a deep-learning-based analysis system for power lines inspection data, this paper conducts a thorough review of the current literature and identifies the challenges for future research.

object-detection Small Object Detection

Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching

2 code implementations5 Mar 2020 Lu Zhang, Wenchao Ding, Jing Chen, Shaojie Shen

Decision-making in dense traffic scenarios is challenging for automated vehicles (AVs) due to potentially stochastic behaviors of other traffic participants and perception uncertainties (e. g., tracking noise and prediction errors, etc.).


How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions

1 code implementation21 Nov 2019 Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si

We present a large-scale dataset for the task of rewriting an ill-formed natural language question to a well-formed one.

Question Rewriting

Received Signal Strength Based Wireless Source Localization with Inaccurate Anchor Position

no code implementations9 Aug 2019 Yang Liu, Guojun Han, Yonghua Wang, Zheng Xue, Jing Chen

Received signal strength (RSS)-based wireless localization is easy to implement at low cost.

Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor

2 code implementations24 Jun 2019 Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen

Planning safe trajectories for autonomous vehicles in complex urban environments is challenging since there are numerous semantic elements (such as dynamic agents, traffic lights and speed limits) to consider.

Autonomous Vehicles Benchmarking

A Books Recommendation Approach Based on Online Bookstore Data

no code implementations15 Jun 2019 Xinyu Wei, Jiahui Chen, Jing Chen, Bernie Liu

In the era of information explosion, facing complex information, it is difficult for users to choose the information of interest, and businesses also need detailed information on ways to let the ad stand out.

Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network

no code implementations3 Mar 2019 Wenchao Ding, Jing Chen, Shaojie Shen

In this paper, we uncover that clues to vehicle behaviors over an extended horizon can be found in vehicle interaction, which makes it possible to anticipate the likelihood of a certain behavior, even in the absence of any clear maneuver pattern.

Autonomous Vehicles

Biophysics at the coffee shop: lessons learned working with George Oster

no code implementations20 Feb 2019 Oleg Igoshin, Jing Chen, Jianhua Xing, Jian Liu, Timothy C. Elston, Michael Grabe, Kenneth S. Kim, Jasmine Nirody, Padmini Rangamani, Sean Sun, Hongyun Wang, Charles Wolgemuth

Over the past 50 years, the use of mathematical models, derived from physical reasoning, to describe molecular and cellular systems has evolved from an art of the few to a cornerstone of biological inquiry.

Descriptive Physical Intuition

Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder

no code implementations6 Dec 2018 Qiao Tian, Bing Yang, Jing Chen, Benlai Tang, Shan Liu

Firstly, due to the noisy input signal of the model, there is still a gap between the quality of generated and natural waveforms.

Vocal Bursts Intensity Prediction

The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification

no code implementations EMNLP 2018 Jing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu, Buzhou Tang

As the largest manually annotated public Chinese SSEI corpus in the bank domain, the BQ corpus is not only useful for Chinese question semantic matching research, but also a significant resource for cross-lingual and cross-domain SSEI research.

Clustering Paraphrase Identification +1

LCQMC:A Large-scale Chinese Question Matching Corpus

no code implementations COLING 2018 Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang

In this paper, we first use a search engine to collect large-scale question pairs related to high-frequency words from various domains, then filter irrelevant pairs by the Wasserstein distance, and finally recruit three annotators to manually check the left pairs.

Information Retrieval Machine Translation +2

Learning-based Natural Geometric Matching with Homography Prior

no code implementations13 Jul 2018 Yifang Xu, Tianli Liao, Jing Chen

Then, we parametrize homography transformation with 9 parameters in full connected layer of our network, to better characterize large viewpoint variations compared with affine transformation.

Geometric Matching

SmartSeed: Smart Seed Generation for Efficient Fuzzing

no code implementations7 Jul 2018 Chenyang Lyu, Shouling Ji, Yuwei Li, Junfeng Zhou, Jian-hai Chen, Jing Chen

In total, our system discovers more than twice unique crashes and 5, 040 extra unique paths than the existing best seed selection strategy for the evaluated 12 applications.

Cryptography and Security

Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction

no code implementations SEMEVAL 2018 Jing Chen, Dechuan Yang, Xilian Li, Wei Chen, Tengjiao Wang

First the distributed representation (tweet vector) for each tweet is generated, then the similarity between this tweet vector and each emoji{'}s embedding is evaluated.

Classification General Classification +4

Coarse-to-fine Seam Estimation for Image Stitching

no code implementations24 May 2018 Tianli Liao, Jing Chen, Yifang Xu

For pixels on the seam, we develop a patch-point evaluation algorithm concentrating more on the correlation and variation of them.

Image Stitching

Graph-based Hypothesis Generation for Parallax-tolerant Image Stitching

no code implementations20 Apr 2018 Jing Chen, Nan Li, Tianli Liao

The seam-driven approach has been proven fairly effective for parallax-tolerant image stitching, whose strategy is to search for an invisible seam from finite representative hypotheses of local alignment.

Image Stitching

Ratio-Preserving Half-Cylindrical Warps for Natural Image Stitching

no code implementations18 Mar 2018 Yifang Xu, Jing Chen, Tianli Liao

The pixel selection strategy then samples the points in horizontal and reconstructs the image via interpolation to further reduce horizontal distortion by maintaining the ratio as similarity.

Image Stitching

Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

no code implementations12 Dec 2017 Song Cheng, Jing Chen, Lei Wang

We compare and contrast the statistical physics and quantum physics inspired approaches for unsupervised generative modeling of classical data.

Equivalence of restricted Boltzmann machines and tensor network states

1 code implementation17 Jan 2017 Jing Chen, Song Cheng, Haidong Xie, Lei Wang, Tao Xiang

Conversely, we give sufficient and necessary conditions to determine whether a TNS can be transformed into an RBM of given architectures.

Recommendation Systems


1 code implementation5 Jul 2016 Jing Chen, Silvio Micali

Algorand is a truly democratic and efficient way to implement a public ledger.

Cryptography and Security Distributed, Parallel, and Cluster Computing

Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces

no code implementations5 Sep 2015 Yuewei Lin, Jing Chen, Yu Cao, Youjie Zhou, Lingfeng Zhang, Yuan Yan Tang, Song Wang

By adopting a natural and widely used assumption -- "the data samples from the same class should lay on a low-dimensional subspace, even if they come from different domains", the proposed method circumvents the limitation of the global domain shift, and solves the cross-domain recognition by finding the compact joint subspaces of source and target domain.

Domain Adaptation Object Recognition +2

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