Search Results for author: Yu Lu

Found 35 papers, 10 papers with code

Automatic Evaluation for Mental Health Counseling using LLMs

no code implementations19 Feb 2024 Anqi Li, Yu Lu, Nirui Song, Shuai Zhang, Lizhi Ma, Zhenzhong Lan

High-quality psychological counseling is crucial for mental health worldwide, and timely evaluation is vital for ensuring its effectiveness.

Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents

no code implementations18 Feb 2024 Shuai Zhang, Yu Lu, Junwen Liu, JIA YU, Huachuan Qiu, Yuming Yan, Zhenzhong Lan

With the growing humanlike nature of dialog agents, people are now engaging in extended conversations that can stretch from brief moments to substantial periods of time.

FlowZero: Zero-Shot Text-to-Video Synthesis with LLM-Driven Dynamic Scene Syntax

no code implementations27 Nov 2023 Yu Lu, Linchao Zhu, Hehe Fan, Yi Yang

Text-to-video (T2V) generation is a rapidly growing research area that aims to translate the scenes, objects, and actions within complex video text into a sequence of coherent visual frames.

Video Generation

ActiveDC: Distribution Calibration for Active Finetuning

no code implementations13 Nov 2023 Wenshuai Xu, Zhenghui Hu, Yu Lu, Jinzhou Meng, Qingjie Liu, Yunhong Wang

Firstly, we select samples for annotation by optimizing the distribution similarity between the subset to be selected and the entire unlabeled pool in continuous space.

Image Classification

Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method

no code implementations24 Sep 2023 Jonghyuk Baek, Yanran Wang, Xiaolong He, Yu Lu, John S. McCartney, J. S. Chen

In deep geological repositories for high level nuclear waste with close canister spacings, bentonite buffers can experience temperatures higher than 100 {\deg}C. In this range of extreme temperatures, phenomenological constitutive laws face limitations in capturing the thermo-hydro-mechanical (THM) behavior of the bentonite, since the pre-defined functional constitutive laws often lack generality and flexibility to capture a wide range of complex coupling phenomena as well as the effects of stress state and path dependency.

NEOLAF, an LLM-powered neural-symbolic cognitive architecture

no code implementations8 Aug 2023 Richard Jiarui Tong, Cassie Chen Cao, Timothy Xueqian Lee, Guodong Zhao, Ray Wan, FeiYue Wang, Xiangen Hu, Robin Schmucker, Jinsheng Pan, Julian Quevedo, Yu Lu

This paper presents the Never Ending Open Learning Adaptive Framework (NEOLAF), an integrated neural-symbolic cognitive architecture that models and constructs intelligent agents.

Incremental Learning Math

AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets

no code implementations16 Jun 2023 Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He

High-quality data is essential for conversational recommendation systems and serves as the cornerstone of the network architecture development and training strategy design.

Knowledge Graphs Recommendation Systems

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction

no code implementations2 Jun 2023 Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin

In this work, we focus on ranking user satisfaction rather than relevance in web search, and propose a PLM-based framework, namely SAT-Ranker, which comprehensively models different dimensions of user satisfaction in a unified manner.

Language Modelling

Rediscovery of Numerical Lüscher's Formula from the Neural Network

no code implementations5 Oct 2022 Yu Lu, Yi-Jia Wang, Ying Chen, Jia-Jun Wu

We present that by predicting the spectrum in discrete space from the phase shift in continuous space, the neural network can remarkably reproduce the numerical L\"uscher's formula to a high precision.

Personalizing or Not: Dynamically Personalized Federated Learning with Incentives

no code implementations12 Aug 2022 Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui

This dynamically personalized FL technique incentivizes clients to participate in personalizing local models while allowing the adoption of the global model when it performs better.

Personalized Federated Learning

A Simple yet Effective Framework for Active Learning to Rank

no code implementations20 May 2022 Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin

To handle the diverse query requests from users at web-scale, Baidu has done tremendous efforts in understanding users' queries, retrieve relevant contents from a pool of trillions of webpages, and rank the most relevant webpages on the top of results.

Active Learning Learning-To-Rank

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network

1 code implementation15 Apr 2022 Gang Chen, Yu Lu, Rong Su, Zhaodan Kong

Machine learning-based methods have achieved successful applications in machinery fault diagnosis.

Learning Confidence for Transformer-based Neural Machine Translation

1 code implementation ACL 2022 Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li

Confidence estimation aims to quantify the confidence of the model prediction, providing an expectation of success.

Machine Translation NMT +2

Federated Two-stage Learning with Sign-based Voting

no code implementations10 Dec 2021 Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, JinFeng Yi, Shuguang Cui

In this paper, we design a federated two-stage learning framework that augments prototypical federated learning with a cut layer on devices and uses sign-based stochastic gradient descent with the majority vote method on model updates.

BIG-bench Machine Learning Federated Learning +2

CRIS: CLIP-Driven Referring Image Segmentation

1 code implementation CVPR 2022 Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu

In addition, we present text-to-pixel contrastive learning to explicitly enforce the text feature similar to the related pixel-level features and dissimilar to the irrelevances.

Contrastive Learning Generalized Referring Expression Segmentation +3

Interpreting Deep Knowledge Tracing Model on EdNet Dataset

no code implementations31 Oct 2021 DeLiang Wang, Yu Lu, Qinggang Meng, Penghe Chen

With more deep learning techniques being introduced into the knowledge tracing domain, the interpretability issue of the knowledge tracing models has aroused researchers' attention.

Knowledge Tracing

Attention Calibration for Transformer in Neural Machine Translation

no code implementations ACL 2021 Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li

Attention mechanisms have achieved substantial improvements in neural machine translation by dynamically selecting relevant inputs for different predictions.

Machine Translation Translation

Towards Heterogeneous Clients with Elastic Federated Learning

no code implementations17 Jun 2021 Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, JinFeng Yi, Shuguang Cui

Training in heterogeneous and potentially massive networks introduces bias into the system, which is originated from the non-IID data and the low participation rate in reality.

Federated Learning

RevCore: Review-augmented Conversational Recommendation

1 code implementation Findings (ACL) 2021 Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He

Existing conversational recommendation (CR) systems usually suffer from insufficient item information when conducted on short dialogue history and unfamiliar items.

Response Generation

RoFormer: Enhanced Transformer with Rotary Position Embedding

18 code implementations20 Apr 2021 Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, Yunfeng Liu

Then, we propose a novel method named Rotary Position Embedding(RoPE) to effectively leverage the positional information.

Position Semantic Text Matching +1

GINet: Graph Interaction Network for Scene Parsing

1 code implementation ECCV 2020 Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo

GI unit is further improved by the SC-loss to enhance the semantic representations over the exemplar-based semantic graph.

Scene Parsing

Towards Interpretable Deep Learning Models for Knowledge Tracing

no code implementations13 May 2020 Yu Lu, DeLiang Wang, Qinggang Meng, Penghe Chen

We thus propose to adopt the post-hoc method to tackle the interpretability issue for deep learning based knowledge tracing (DLKT) models.

Knowledge Tracing

Object Instance Mining for Weakly Supervised Object Detection

1 code implementation4 Feb 2020 Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang

Weakly supervised object detection (WSOD) using only image-level annotations has attracted growing attention over the past few years.

Multiple Instance Learning Object +2

C-DLinkNet: considering multi-level semantic features for human parsing

1 code implementation31 Jan 2020 Yu Lu, Muyan Feng, Ming Wu, Chuang Zhang

Human parsing is an essential branch of semantic segmentation, which is a fine-grained semantic segmentation task to identify the constituent parts of human.

Human Parsing Segmentation +1

Learning Efficient Video Representation with Video Shuffle Networks

no code implementations26 Nov 2019 Pingchuan Ma, Yao Zhou, Yu Lu, Wei zhang

To this end, we propose the video shuffle, a parameter-free plug-in component that efficiently reallocates the inputs of 2D convolution so that its receptive field can be extended to the temporal dimension.

Video Recognition

Structured Pruning for Efficient ConvNets via Incremental Regularization

1 code implementation25 Apr 2018 Huan Wang, Qiming Zhang, Yuehai Wang, Yu Lu, Haoji Hu

Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance degrade.

Network Pruning

Provably Optimal Algorithms for Generalized Linear Contextual Bandits

no code implementations ICML 2017 Lihong Li, Yu Lu, Dengyong Zhou

Contextual bandits are widely used in Internet services from news recommendation to advertising, and to Web search.

Multi-Armed Bandits News Recommendation

Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants

no code implementations7 Dec 2016 Yu Lu, Harrison H. Zhou

Lloyd's algorithm, proposed in 1957, is still possibly the most widely used clustering algorithm in practice due to its simplicity and empirical performance.

BIG-bench Machine Learning Clustering +1

Exact Exponent in Optimal Rates for Crowdsourcing

no code implementations25 May 2016 Chao Gao, Yu Lu, Dengyong Zhou

In many machine learning applications, crowdsourcing has become the primary means for label collection.

Optimal Estimation and Completion of Matrices with Biclustering Structures

no code implementations1 Dec 2015 Chao Gao, Yu Lu, Zongming Ma, Harrison H. Zhou

Biclustering structures in data matrices were first formalized in a seminal paper by John Hartigan (1972) where one seeks to cluster cases and variables simultaneously.

Multi-Linear Interactive Matrix Factorization

no code implementations18 May 2015 Yu Lu, Liu Chuang, Zhang Zi-Ke

Recommender systems, which can significantly help users find their interested items from the information era, has attracted an increasing attention from both the scientific and application society.

Collaborative Filtering Recommendation Systems

Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters

no code implementations9 Apr 2015 Xiangru Li, Yu Lu, Georges Comte, Ali Luo, Yongheng Zhao, Yongjun Wang

On real spectra, we extracted 23 features to estimate $T_{eff}$, 62 features for log$~g$, and 68 features for [Fe/H].

Test

Individualized Rank Aggregation using Nuclear Norm Regularization

no code implementations3 Oct 2014 Yu Lu, Sahand N. Negahban

In recent years rank aggregation has received significant attention from the machine learning community.

Collaborative Ranking Matrix Completion

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