b'Chen Liang'

research

∙ 09/07/2023

Exploring the Opportunities of AR for Enriching Storytelling with Family Photos between Grandparents and Grandchildren

Storytelling with family photos, as an important mode of reminiscence-ba...

0 Zisu Li, et al. ∙

research

∙ 08/24/2023

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

Recent advances in semi-supervised semantic segmentation have been heavi...

0 Chen Liang, et al. ∙

research

∙ 08/21/2023

Towards Ubiquitous Intelligent Hand Interaction

The development of ubiquitous computing and sensing devices has brought ...

0 Chen Liang, et al. ∙

research

∙ 08/21/2023

UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language

We introduce UbiPhysio, a milestone framework that delivers fine-grained...

0 Chongyang Wang, et al. ∙

research

∙ 06/20/2023

LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation

Transformer models have achieved remarkable results in various natural l...

0 Yixiao Li, et al. ∙

research

∙ 05/30/2023

Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning

Recent studies have shown great promise in unsupervised representation l...

0 Zhiyu Liang, et al. ∙

research

∙ 03/24/2023

UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning

Machine learning has emerged as a powerful tool for time series analysis...

0 Zhiyu Liang, et al. ∙

research

∙ 03/06/2023

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction

Attaining the equilibrium state of a catalyst-adsorbate system is key to...

0 Bowen Wang, et al. ∙

research

∙ 02/19/2023

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers

Knowledge distillation has been shown to be a powerful model compression...

0 Chen Liang, et al. ∙

research

∙ 02/13/2023

Symbolic Discovery of Optimization Algorithms

We present a method to formulate algorithm discovery as program search, ...

0 Xiangning Chen, et al. ∙

research

∙ 02/10/2023

Unified Functional Hashing in Automatic Machine Learning

The field of Automatic Machine Learning (AutoML) has recently attained i...

0 Ryan Gillard, et al. ∙

research

∙ 10/05/2022

GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Prevalent semantic segmentation solutions are, in essence, a dense discr...

26 Chen Liang, et al. ∙

research

∙ 10/04/2022

Less is More: Task-aware Layer-wise Distillation for Language Model Compression

Layer-wise distillation is a powerful tool to compress large models (i.e...

0 Chen Liang, et al. ∙

research

∙ 09/15/2022

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction

Graph neural networks (GNNs) have drawn more and more attention from mat...

0 Chen Liang, et al. ∙

research

∙ 06/25/2022

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

Large Transformer-based models have exhibited superior performance in va...

0 Qingru Zhang, et al. ∙

research

∙ 05/01/2022

Temporal Events Detector for Pregnancy Care (TED-PC): A Rule-based Algorithm to Infer Gestational Age and Delivery Date from Electronic Health Records of Pregnant Women with an

Objective: To develop a rule-based algorithm that detects temporal infor...

0 Tianchu Lyu, et al. ∙

research

∙ 04/15/2022

MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation

Pre-trained language models have demonstrated superior performance in va...

0 Simiao Zuo, et al. ∙

research

∙ 04/13/2022

CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing

Model ensemble is a popular approach to produce a low-variance and well-...

0 Chen Liang, et al. ∙

research

∙ 04/11/2022

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Machine Learning (ML) workloads have rapidly grown in importance, but ra...

6 David Patterson, et al. ∙

research

∙ 03/26/2022

Visual Abductive Reasoning

Abductive reasoning seeks the likeliest possible explanation for partial...

3 Chen Liang, et al. ∙

research

∙ 03/18/2022

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

We explore the task of language-guided video segmentation (LVS). Previou...

5 Chen Liang, et al. ∙

research

∙ 02/18/2022

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast

Deep learning has been a prevalence in computational chemistry and widel...

2 Yuyang Wang, et al. ∙

research

∙ 02/06/2022

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models

Recent research has shown the existence of significant redundancy in lar...

0 Chen Liang, et al. ∙

research

∙ 01/09/2022

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model

Trajectory Prediction (TP) is an important research topic in computer vi...

0 Chunnan Wang, et al. ∙

research

∙ 12/30/2021

A General Traffic Shaping Protocol in E-Commerce

To approach different business objectives, online traffic shaping algori...

0 Chenlin Shen, et al. ∙

research

∙ 12/23/2021

S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation

Emotion recognition in conversation (ERC) has attracted much attention i...

22 Chen Liang, et al. ∙

research

∙ 11/30/2021

AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning

Machine learning (ML) has demonstrated the promise for accurate and effi...

1 Rishikesh Magar, et al. ∙

research

∙ 11/08/2021

Creative Compensation (CC): Future of Jobs with Creative Works in 3D Printing

With the continuous growth of online 3D printing community and the democ...

0 Chen Liang, et al. ∙

research

∙ 09/29/2021

Contrastive Video-Language Segmentation

We focus on the problem of segmenting a certain object referred by a nat...

0 Chen Liang, et al. ∙

research

∙ 09/15/2021

Self-Training with Differentiable Teacher

Self-training achieves enormous success in various semi-supervised and w...

0 Simiao Zuo, et al. ∙

research

∙ 09/15/2021

ARCH: Efficient Adversarial Regularized Training with Caching

Adversarial regularization can improve model generalization in many natu...

0 Simiao Zuo, et al. ∙

research

∙ 06/02/2021

Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation

Referring video object segmentation (RVOS) aims to segment video objects...

0 Chen Liang, et al. ∙

research

∙ 05/25/2021

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

The Lottery Ticket Hypothesis suggests that an over-parametrized network...

0 Chen Liang, et al. ∙

research

∙ 04/21/2021

Carbon Emissions and Large Neural Network Training

The computation demand for machine learning (ML) has grown rapidly recen...

17 David Patterson, et al. ∙

research

∙ 04/11/2021

Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach

Adversarial training has been shown to improve the generalization perfor...

0 Simiao Zuo, et al. ∙

research

∙ 03/20/2021

Token-wise Curriculum Learning for Neural Machine Translation

Existing curriculum learning approaches to Neural Machine Translation (N...

0 Chen Liang, et al. ∙

research

∙ 03/19/2021

ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation

Text-based video segmentation is a challenging task that segments out th...

0 Chen Liang, et al. ∙

research

∙ 02/24/2021

3D4ALL: Toward an Inclusive Pipeline to Classify 3D Contents

Algorithmic content moderation manages an explosive number of user-creat...

0 Nahyun Kwon, et al. ∙

research

∙ 02/03/2021

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign

A lot of online marketing campaigns aim to promote user interaction. The...

0 Tianchi Cai, et al. ∙

research

∙ 01/21/2021

PyGlove: Symbolic Programming for Automated Machine Learning

Neural networks are sensitive to hyper-parameter and architecture choice...

30 Daiyi Peng, et al. ∙

research

∙ 08/15/2020

Compositional Generalization via Neural-Symbolic Stack Machines

Despite achieving tremendous success, existing deep learning models have...

6 Xinyun Chen, et al. ∙

research

∙ 06/28/2020

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

We study the open-domain named entity recognition (NER) problem under di...

1 Chen Liang, et al. ∙

research

∙ 03/06/2020

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Machine learning research has advanced in multiple aspects, including mo...

32 Esteban Real, et al. ∙

research

∙ 03/05/2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance

The insurance industry has been creating innovative products around the ...

17 Cen Chen, et al. ∙

research

∙ 02/27/2020

Uncovering Insurance Fraud Conspiracy with Network Learning

Fraudulent claim detection is one of the greatest challenges the insuran...

9 Chen Liang, et al. ∙

research

∙ 11/07/2019

Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing

Many multi-domain neural machine translation (NMT) models achieve knowle...

0 Haoming Jiang, et al. ∙

research

∙ 05/03/2019

A New Hierarchical Software Architecture Towards Safety-Critical Aspects of a Drone System

In this paper, a new hierarchical software architecture is proposed to i...

0 Xiao-rui Zhu, et al. ∙

research

∙ 04/15/2019

Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control

In this paper, we present a novel guidance scheme based on model-based d...

0 Chen Liang, et al. ∙

research

∙ 02/19/2019

Learning to Generalize from Sparse and Underspecified Rewards

We consider the problem of learning from sparse and underspecified rewar...

0 Rishabh Agarwal, et al. ∙

research

∙ 01/30/2019

The Evolved Transformer

Recent works have highlighted the strengths of the Transformer architect...

0 David R. So, et al. ∙

Chen Liang

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