b'Quan Liu'

research

∙ 05/22/2023

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation

Modeling multi-party conversations (MPCs) with graph neural networks has...

0 Jia-Chen Gu, et al. ∙

research

∙ 05/21/2023

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction

Zero-shot cross-lingual information extraction(IE) aims at constructing ...

0 Jun-Yu Ma, et al. ∙

research

∙ 05/16/2023

GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding

Addressing the issues of who saying what to whom in multi-party conversa...

0 Jia-Chen Gu, et al. ∙

research

∙ 05/04/2023

APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction

For many driving safety applications, it is of great importance to accur...

0 Quan Liu, et al. ∙

research

∙ 05/04/2023

USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER

This paper describes the system developed by the USTC-NELSLIP team for S...

0 Jun-Yu Ma, et al. ∙

research

∙ 04/09/2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

The segment anything model (SAM) was released as a foundation model for ...

0 Ruining Deng, et al. ∙

research

∙ 03/23/2023

MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation

Monocular 3D object detection (Mono3D) in mobile settings (e.g., on a ve...

0 Yunsong Zhou, et al. ∙

research

∙ 03/23/2023

MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer

Mobile monocular 3D object detection (Mono3D) (e.g., on a vehicle, a dro...

0 Yunsong Zhou, et al. ∙

research

∙ 12/07/2022

WIDER CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition

Zero-shot cross-lingual named entity recognition (NER) aims at transferr...

0 Jun-Yu Ma, et al. ∙

research

∙ 08/30/2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning

With the rapid development of self-supervised learning (e.g., contrastiv...

8 Tianyuan Yao, et al. ∙

research

∙ 06/27/2022

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation

Comprehensive semantic segmentation on renal pathological images is chal...

0 Ruining Deng, et al. ∙

research

∙ 06/02/2022

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

Learning individual-level treatment effect is a fundamental problem in c...

0 Mingyuan Cheng, et al. ∙

research

∙ 05/17/2022

Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT

Multilingual BERT (mBERT), a language model pre-trained on large multili...

0 Beiduo Chen, et al. ∙

research

∙ 03/07/2022

USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition

This paper describes the system developed by the USTC-NELSLIP team for S...

0 Beiduo Chen, et al. ∙

research

∙ 02/26/2022

Multi-Level Contrastive Learning for Cross-Lingual Alignment

Cross-language pre-trained models such as multilingual BERT (mBERT) have...

0 Beiduo Chen, et al. ∙

research

∙ 01/18/2022

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

Advertisers play an essential role in many e-commerce platforms like Tao...

0 Qianqian Zhang, et al. ∙

research

∙ 12/23/2021

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data

Computer-assisted quantitative analysis on Giga-pixel pathology images h...

0 Ruining Deng, et al. ∙

research

∙ 12/13/2021

Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes

The detection of ancient settlements is a key focus in landscape archaeo...

0 Jiachen Xu, et al. ∙

research

∙ 11/01/2021

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

Digital advertising is a critical part of many e-commerce platforms such...

0 Zongtao Liu, et al. ∙

research

∙ 09/03/2021

Detecting Speaker Personas from Conversational Texts

Personas are useful for dialogue response prediction. However, the perso...

0 Jia-Chen Gu, et al. ∙

research

∙ 07/19/2021

Compound Figure Separation of Biomedical Images with Side Loss

Unsupervised learning algorithms (e.g., self-supervised learning, auto-e...

19 Tianyuan Yao, et al. ∙

research

∙ 06/22/2021

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning

Recent advances in bioimaging have provided scientists a superior high s...

0 Mengyang Zhao, et al. ∙

research

∙ 05/31/2021

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning

This paper introduces the SemEval-2021 shared task 4: Reading Comprehens...

0 Boyuan Zheng, et al. ∙

research

∙ 05/19/2021

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots

Persona can function as the prior knowledge for maintaining the consiste...

5 Jia-Chen Gu, et al. ∙

research

∙ 03/09/2021

SimTriplet: Simple Triplet Representation Learning with a Single GPU

Contrastive learning is a key technique of modern self-supervised learni...

0 Quan Liu, et al. ∙

research

∙ 01/03/2021

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations

Quantitative analysis of microscope videos often requires instance segme...

13 Quan Liu, et al. ∙

research

∙ 12/22/2020

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems

Task-oriented conversational modeling with unstructured knowledge access...

0 Chao-Hong Tan, et al. ∙

research

∙ 11/08/2020

Exploring End-to-End Differentiable Natural Logic Modeling

We explore end-to-end trained differentiable models that integrate natur...

0 Yufei Feng, et al. ∙

research

∙ 11/02/2020

ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis

Instance object segmentation and tracking provide comprehensive quantifi...

0 Quan Liu, et al. ∙

research

∙ 11/02/2020

CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns

Weakly supervised learning has been rapidly advanced in biomedical image...

0 Ruining Deng, et al. ∙

research

∙ 10/22/2020

GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects

The unsupervised segmentation is an increasingly popular topic in biomed...

0 Quan Liu, et al. ∙

research

∙ 10/06/2020

Program Enhanced Fact Verification with Verbalization and Graph Attention Network

Performing fact verification based on structured data is important for m...

0 Xiaoyu Yang, et al. ∙

research

∙ 07/28/2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking

Recently, single-stage embedding based deep learning algorithms gain inc...

0 Mengyang Zhao, et al. ∙

research

∙ 04/30/2020

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots

The challenges of building knowledge-grounded retrieval-based chatbots l...

0 Jia-Chen Gu, et al. ∙

research

∙ 04/08/2020

DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement

Disentanglement is a problem in which multiple conversations occur in th...

0 Tianda Li, et al. ∙

research

∙ 04/07/2020

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

In this paper, we study the problem of employing pre-trained language mo...

0 Jia-Chen Gu, et al. ∙

research

∙ 04/04/2020

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems

The NOESIS II challenge, as the Track 2 of the 8th Dialogue System Techn...

0 Jia-Chen Gu, et al. ∙

research

∙ 02/01/2020

Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking

We present our work on Track 4 in the Dialogue System Technology Challen...

0 Yu-Ping Ruan, et al. ∙

research

∙ 11/16/2019

Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

This paper proposes an utterance-to-utterance interactive matching netwo...

0 Jia-Chen Gu, et al. ∙

research

∙ 08/16/2019

Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots

This paper proposes a dually interactive matching network (DIM) for pres...

0 Jia-Chen Gu, et al. ∙

research

∙ 04/27/2019

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

Natural language inference (NLI) is among the most challenging tasks in ...

0 Tianda Li, et al. ∙

research

∙ 04/24/2019

Condition-Transforming Variational AutoEncoder for Conversation Response Generation

This paper proposes a new model, called condition-transforming variation...

0 Yu-Ping Ruan, et al. ∙

research

∙ 04/22/2019

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...

0 Yu-Ping Ruan, et al. ∙

research

∙ 01/27/2019

Promoting Diversity for End-to-End Conversation Response Generation

We present our work on Track 2 in the Dialog System Technology Challenge...

0 Yu-Ping Ruan, et al. ∙

research

∙ 01/07/2019

Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

In this paper, we propose an interactive matching network (IMN) to enhan...

0 Jia-Chen Gu, et al. ∙

research

∙ 12/06/2018

The USTC-NEL Speech Translation system at IWSLT 2018

This paper describes the USTC-NEL system to the speech translation task ...

0 Dan Liu, et al. ∙

research

∙ 12/03/2018

Building Sequential Inference Models for End-to-End Response Selection

This paper presents an end-to-end response selection model for Track 1 o...

0 Jia-Chen Gu, et al. ∙

research

∙ 11/13/2016

Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

In this paper, we propose commonsense knowledge enhanced embeddings (KEE...

0 Quan Liu, et al. ∙

research

∙ 03/24/2016

Probabilistic Reasoning via Deep Learning: Neural Association Models

In this paper, we propose a new deep learning approach, called neural as...

1 Quan Liu, et al. ∙

research

∙ 03/24/2016

Part-of-Speech Relevance Weights for Learning Word Embeddings

This paper proposes a model to learn word embeddings with weighted conte...

0 Quan Liu, et al. ∙

Quan Liu

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