Search Results for author: Liang He

Found 54 papers, 11 papers with code

Integrating BERT and Score-based Feature Gates for Chinese Grammatical Error Diagnosis

no code implementations AACL (NLP-TEA) 2020 Yongchang Cao, Liang He, Robert Ridley, Xinyu Dai

This paper describes our proposed model for the Chinese Grammatical Error Diagnosis (CGED) task in NLPTEA2020.

Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation

no code implementations Findings (ACL) 2022 ZeFeng Cai, LinLin Wang, Gerard de Melo, Fei Sun, Liang He

Generating explanations for recommender systems is essential for improving their transparency, as users often wish to understand the reason for receiving a specified recommendation.

Explanation Generation Recommendation Systems

KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals

no code implementations Findings (EMNLP) 2021 Jun Zhang, Yan Yang, Chencai Chen, Liang He, Zhou Yu

Recommendation dialogs require the system to build a social bond with users to gain trust and develop affinity in order to increase the chance of a successful recommendation.

Question Answering Recommendation Systems +1

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation

no code implementations2 Nov 2022 Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He

We evaluate the effectiveness of the proposed model in terms of both accurate and calibrated sequential recommendation.

Sequential Recommendation

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

no code implementations26 Oct 2022 Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

Specifically, we first pre-train an antibody language model based on the sequence data, then propose a one-shot way for sequence and structure generation of CDR to avoid the heavy cost and error propagation from an autoregressive manner, and finally leverage the pre-trained antibody model for the antigen-specific antibody generation model with some carefully designed modules.

Language Modelling Specificity

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

no code implementations18 Oct 2022 Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He

To address these problems, we construct the homogeneous structure between the point cloud and images to avoid projective information loss by transforming the camera features into the LiDAR 3D space.

3D Object Detection Autonomous Driving +1

THUEE system description for NIST 2020 SRE CTS challenge

no code implementations12 Oct 2022 Yu Zheng, Jinghan Peng, Miao Zhao, Yufeng Ma, Min Liu, Xinyue Ma, Tianyu Liang, Tianlong Kong, Liang He, Minqiang Xu

This paper presents the system description of the THUEE team for the NIST 2020 Speaker Recognition Evaluation (SRE) conversational telephone speech (CTS) challenge.

Speaker Recognition

An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning

1 code implementation COLING 2022 Shaobin Chen, Jie zhou, Yuling Sun, Liang He

To address this problem, we present an information minimization based contrastive learning (InforMin-CL) model to retain the useful information and discard the redundant information by maximizing the mutual information and minimizing the information entropy between positive instances meanwhile for unsupervised sentence representation learning.

Contrastive Learning Semantic Textual Similarity +2

Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation

no code implementations IEEE Signal Processing Letters 2022 Ying Hu, Yadong Chen, Wenzhong Yang, Liang He, Hao Huang

In this paper, we propose a model which combines the complexed spectrogram domain feature and time-domain feature by a cross-domain encoder (CDE) and adopts the hierarchic temporal convolutional network (HTCN) for multiple music sources separation.

Audio Source Separation Music Source Separation +1

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis

no code implementations31 May 2022 Qi Zhang, Jie zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Notably, we propose a Knowledge-Enhanced Adversarial Model (\texttt{KEAM}) with both implicit distributed and explicit structural knowledge to enhance the cross-lingual transfer.

Cross-Lingual Transfer Sentiment Analysis

Enhancing Event-Level Sentiment Analysis with Structured Arguments

1 code implementation31 May 2022 Qi Zhang, Jie zhou, Qin Chen, Qinchun Bai, Liang He

Previous studies about event-level sentiment analysis (SA) usually model the event as a topic, a category or target terms, while the structured arguments (e. g., subject, object, time and location) that have potential effects on the sentiment are not well studied.

Event Extraction Sentiment Analysis

DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation

no code implementations22 Apr 2022 Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Wei Zheng, Liang He

In this work, we focus on the calibrated recommendations for sequential recommendation, which is connected to both fairness and diversity.

Fairness Sequential Recommendation

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

1 code implementation CVPR 2022 Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin

Moreover, since the backbones are query-agnostic, it is difficult to completely avoid the inconsistency issue by training the visual backbone end-to-end in the visual grounding framework.

Visual Grounding

Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis

no code implementations25 Jan 2022 Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He

This paper proposes a Multi-channel Attentive Graph Convolutional Network (MAGCN), consisting of two main components: cross-modality interactive learning and sentimental feature fusion.

Multimodal Sentiment Analysis

Long-Tail Session-based Recommendation from Calibration

no code implementations5 Dec 2021 Jiayi Chen, Wen Wu, Wei Zheng, Liang He

Accurate predictions in session-based recommendations have progressed, but a few studies have focused on skewed recommendation lists caused by popularity bias.

Session-Based Recommendations

Co-evolution Transformer for Protein Contact Prediction

1 code implementation NeurIPS 2021 He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu

These methods generally derive coevolutionary features by aggregating the learned residue representations from individual sequences with equal weights, which is inconsistent with the premise that residue co-evolutions are a reflection of collective covariation patterns of numerous homologous proteins.

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model

no code implementations29 Oct 2021 Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu

The key problem in the protein sequence representation learning is to capture the co-evolutionary information reflected by the inter-residue co-variation in the sequences.

Language Modelling Multiple Sequence Alignment +1

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

no code implementations14 Oct 2021 Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu

The identification of active binding drugs for target proteins (termed as drug-target interaction prediction) is the key challenge in virtual screening, which plays an essential role in drug discovery.

Drug Discovery Molecular Docking +1

Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network

no code implementations7 Oct 2021 Zijing Yang, Jiabo Ye, LinLin Wang, Xin Lin, Liang He

To achieve this, existing approaches take advantage of the knowledge graphs to learn more evidences for inference, whereas they often suffer from invalid reasoning for lack of elegant decision making strategies.

Decision Making Knowledge Graphs +1

TransTCN: An Attention-based TCN Framework for Sequential Modeling

no code implementations29 Sep 2021 Yuan Chai, Liang He, Yang Zhao, Xueyan Li, Zhenxin Wang

The model was evaluated across a wide range of the tasks in time series, which are commonly used to the benchmark of TCN and recurrent networks.

Language Modelling Time Series

A Survey of Human-in-the-loop for Machine Learning

no code implementations2 Aug 2021 Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He

Humans can provide training data for machine learning applications and directly accomplish tasks that are hard for computers in the pipeline with the help of machine-based approaches.

BIG-bench Machine Learning

ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline

no code implementations SEMEVAL 2021 Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He

The purpose of the task was to extract triples from a paper in the Nature Language Processing field for constructing an Open Research Knowledge Graph.

Open Information Extraction

Document Layout Analysis via Dynamic Residual Feature Fusion

no code implementations7 Apr 2021 Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He

The document layout analysis (DLA) aims to split the document image into different interest regions and understand the role of each region, which has wide application such as optical character recognition (OCR) systems and document retrieval.

Document Layout Analysis Optical Character Recognition +1

Data-driven criterion for the solid-liquid transition of two-dimensional self-propelled colloidal particles far from equilibrium

no code implementations24 Feb 2021 Wei-chen Guo, Bao-quan Ai, Liang He

We establish an explicit data-driven criterion for identifying the solid-liquid transition of two-dimensional self-propelled colloidal particles in the far from equilibrium parameter regime, where the transition points predicted by different conventional empirical criteria for melting and freezing diverge.

Soft Condensed Matter Statistical Mechanics

Emergent criticality and universality class of spin and charge density wave transitions of two-component lattice Bose gases in optical cavities at finite temperature

no code implementations22 Dec 2020 Liang He, Su Yi

At the temperature scale around half of the on-site interaction energy, we find a new critical regime emerges and features, in particular, a new bicritical line and two critical lines associated with the finite temperature SDW-CDW, homogeneous-SDW, and homogeneous-CDW transition, respectively.

Quantum Gases Statistical Mechanics

SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis

1 code implementation COLING 2020 Jie zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He

However, due to the variety of users{'} emotional expressions across domains, fine-tuning the pre-trained models on the source domain tends to overfit, leading to inferior results on the target domain.

Language Modelling Sentiment Analysis

SEEK: Segmented Embedding of Knowledge Graphs

1 code implementation ACL 2020 Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu

In recent years, knowledge graph embedding becomes a pretty hot research topic of artificial intelligence and plays increasingly vital roles in various downstream applications, such as recommendation and question answering.

Knowledge Graph Embedding Knowledge Graphs +2

A Real-Time Deep Network for Crowd Counting

1 code implementation16 Feb 2020 Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He

Automatic analysis of highly crowded people has attracted extensive attention from computer vision research.

Crowd Counting

THUEE system description for NIST 2019 SRE CTS Challenge

no code implementations25 Dec 2019 Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin

This paper describes the systems submitted by the department of electronic engineering, institute of microelectronics of Tsinghua university and TsingMicro Co. Ltd. (THUEE) to the NIST 2019 speaker recognition evaluation CTS challenge.

Speaker Recognition

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

no code implementations25 Nov 2019 Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He

The accuracy of OCR is usually affected by the quality of the input document image and different kinds of marred document images hamper the OCR results.

Image Super-Resolution Optical Character Recognition

Scene Text Recognition with Temporal Convolutional Encoder

no code implementations4 Nov 2019 Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He

In this paper, we study text recognition framework by considering the long-term temporal dependencies in the encoder stage.

Scene Text Recognition

Fast Video Crowd Counting with a Temporal Aware Network

no code implementations4 Jul 2019 Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

Crowd counting aims to count the number of instantaneous people in a crowded space, and many promising solutions have been proposed for single image crowd counting.

Crowd Counting

Edge-Aware Deep Image Deblurring

no code implementations4 Jul 2019 Zhichao Fu, Tianlong Ma, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

In this paper, we resort to human visual demands of sharp edges and propose a two-phase edge-aware deep network to improve deep image deblurring.

Deblurring Edge Detection +1

Adaptive Scenario Discovery for Crowd Counting

1 code implementation6 Dec 2018 Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He

Crowd counting, i. e., estimation number of the pedestrian in crowd images, is emerging as an important research problem with the public security applications.

Crowd Counting

Multiobjective Optimization Training of PLDA for Speaker Verification

2 code implementations25 Aug 2018 Liang He, Xianhong Chen, Can Xu, Jia Liu

Most current state-of-the-art text-independent speaker verification systems take probabilistic linear discriminant analysis (PLDA) as their backend classifiers.

Multiobjective Optimization Text-Independent Speaker Verification

Precise Temporal Action Localization by Evolving Temporal Proposals

no code implementations13 Apr 2018 Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He

The performances of existing action localization approaches remain unsatisfactory in precisely determining the beginning and the end of an action.

Temporal Action Localization

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

no code implementations24 Mar 2018 Wenhao Ding, Liang He

In this paper, we propose an enhanced triplet method that improves the encoding process of embeddings by jointly utilizing generative adversarial mechanism and multitasking optimization.

Sound Audio and Speech Processing

Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification

no code implementations14 Jul 2017 Yi Liu, Liang He, Yao Tian, Zhuzi Chen, Jia Liu, Michael T. Johnson

Additionally, we also find that even though bottleneck features perform well for text-independent speaker verification, they do not outperform MFCCs on the most challenging Imposter-Correct trials on RedDots.

Speaker Identification Speaker Recognition +2

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