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09/05/2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
The segmentation of kidney layer structures, including cortex, outer str...
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08/10/2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Podocytes, specialized epithelial cells that envelop the glomerular capi...
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07/26/2023
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation
We consider the problem of sequential recommendation, where the current ...
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07/21/2023
Digital Modeling on Large Kernel Metamaterial Neural Network
Deep neural networks (DNNs) utilized recently are physically deployed wi...
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07/19/2023
Density-invariant Features for Distant Point Cloud Registration
Registration of distant outdoor LiDAR point clouds is crucial to extendi...
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07/01/2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning
The Segment Anything Model (SAM) is a recently proposed prompt-based seg...
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06/12/2023
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision
Rapid developments in machine vision have led to advances in a variety o...
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05/31/2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
Multi-class cell segmentation in high-resolution Giga-pixel whole slide ...
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05/22/2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
Modeling multi-party conversations (MPCs) with graph neural networks has...
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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 ...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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06/27/2022
Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation
Comprehensive semantic segmentation on renal pathological images is chal...
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06/02/2022
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
Learning individual-level treatment effect is a fundamental problem in c...
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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...
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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...
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02/26/2022
Multi-Level Contrastive Learning for Cross-Lingual Alignment
Cross-language pre-trained models such as multilingual BERT (mBERT) have...
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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...
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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...
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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...
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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...
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09/03/2021
Detecting Speaker Personas from Conversational Texts
Personas are useful for dialogue response prediction. However, the perso...
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07/19/2021
Compound Figure Separation of Biomedical Images with Side Loss
Unsupervised learning algorithms (e.g., self-supervised learning, auto-e...
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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...
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05/31/2021
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
This paper introduces the SemEval-2021 shared task 4: Reading Comprehens...
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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...
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03/09/2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Contrastive learning is a key technique of modern self-supervised learni...
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01/03/2021
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations
Quantitative analysis of microscope videos often requires instance segme...
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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...
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11/08/2020
Exploring End-to-End Differentiable Natural Logic Modeling
We explore end-to-end trained differentiable models that integrate natur...
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11/02/2020
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis
Instance object segmentation and tracking provide comprehensive quantifi...
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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...
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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...
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10/06/2020
Program Enhanced Fact Verification with Verbalization and Graph Attention Network
Performing fact verification based on structured data is important for m...
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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...
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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...
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04/08/2020
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
Disentanglement is a problem in which multiple conversations occur in th...
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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...
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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...
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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...
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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...
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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...
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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 ...
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04/24/2019
