b'Zhiwei Liu'

research

∙ 09/05/2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs

Skin lesion segmentation is a fundamental task in dermoscopic image anal...

0 Guangjie Zeng, et al. ∙

research

∙ 08/16/2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System

End-to-end task-oriented dialogue (TOD) systems have achieved promising ...

0 Jianguo Zhang, et al. ∙

research

∙ 08/11/2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

The massive successes of large language models (LLMs) encourage the emer...

0 Zhiwei Liu, et al. ∙

research

∙ 08/04/2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Recent months have seen the emergence of a powerful new trend in which l...

0 Weiran Yao, et al. ∙

research

∙ 07/19/2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Despite advancements in conversational AI, language models encounter cha...

0 Jianguo Zhang, et al. ∙

research

∙ 07/18/2023

REX: Rapid Exploration and eXploitation for AI Agents

In this paper, we propose an enhanced approach for Rapid Exploration and...

0 Rithesh Murthy, et al. ∙

research

∙ 06/21/2023

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing

Sequential recommendation (SR) investigates the dynamic user preferences...

0 Ziwei Fan, et al. ∙

research

∙ 05/12/2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Existing recommender systems face difficulties with zero-shot items, i.e...

0 Ziwei Fan, et al. ∙

research

∙ 04/22/2023

Conditional Denoising Diffusion for Sequential Recommendation

Generative models have attracted significant interest due to their abili...

0 Yu Wang, et al. ∙

research

∙ 01/28/2023

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Self-supervised sequential recommendation significantly improves recomme...

0 Ziwei Fan, et al. ∙

research

∙ 11/14/2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System

Knowledge graph (KG) enhanced recommendation has demonstrated improved p...

0 Liangwei Yang, et al. ∙

research

∙ 09/04/2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

Integrating multiple online social networks (OSNs) has important implica...

6 Jiaqian Ren, et al. ∙

research

∙ 08/07/2022

Generating Negative Samples for Sequential Recommendation

To make Sequential Recommendation (SR) successful, recent works focus on...

2 Yongjun Chen, et al. ∙

research

∙ 05/24/2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory

The rising popularity of online social network services has attracted lo...

7 Jiaqian Ren, et al. ∙

research

∙ 03/25/2022

Improving Contrastive Learning with Model Augmentation

The sequential recommendation aims at predicting the next items in user ...

9 Zhiwei Liu, et al. ∙

research

∙ 03/14/2022

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering

While both extractive and generative readers have been successfully appl...

4 Man Luo, et al. ∙

research

∙ 02/05/2022

Intent Contrastive Learning for Sequential Recommendation

Users' interactions with items are driven by various intents (e.g., prep...

1 Yongjun Chen, et al. ∙

research

∙ 01/16/2022

Sequential Recommendation via Stochastic Self-Attention

Sequential recommendation models the dynamics of a user's previous behav...

2 Ziwei Fan, et al. ∙

research

∙ 12/24/2021

Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation

3D human pose and shape recovery from a monocular RGB image is a challen...

0 Zhiwei Liu, et al. ∙

research

∙ 11/28/2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network

Recently, Graph Neural Networks (GNNs) have proven their effectiveness f...

0 Xiaohan Li, et al. ∙

research

∙ 11/21/2021

Federated Social Recommendation with Graph Neural Network

Recommender systems have become prosperous nowadays, designed to predict...

4 Zhiwei Liu, et al. ∙

research

∙ 09/13/2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

In this work, we focus on a more challenging few-shot intent detection s...

0 Jianguo Zhang, et al. ∙

research

∙ 08/26/2021

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN

In the information explosion era, recommender systems (RSs) are widely s...

0 Yu Wang, et al. ∙

research

∙ 08/14/2021

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

In order to model the evolution of user preference, we should learn user...

10 Ziwei Fan, et al. ∙

research

∙ 08/14/2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendationdescribes a set of techniques to model dynamic ...

5 Zhiwei Liu, et al. ∙

research

∙ 06/14/2021

Quality-Aware Network for Face Parsing

This is a very short technical report, which introduces the solution of ...

0 Lu Yang, et al. ∙

research

∙ 06/11/2021

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation

The sequential patterns within the user interactions are pivotal for rep...

0 Ziwei Fan, et al. ∙

research

∙ 05/30/2021

Hop-Aware Dimension Optimization for Graph Neural Networks

In Graph Neural Networks (GNNs), the embedding of each node is obtained ...

0 Ailing Zeng, et al. ∙

research

∙ 05/02/2021

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

Sequential Recommendation characterizes the evolving patterns by modelin...

0 Zhiwei Liu, et al. ∙

research

∙ 03/10/2021

Quality-Aware Network for Human Parsing

How to estimate the quality of the network output is an important issue,...

6 Lu Yang, et al. ∙

research

∙ 11/04/2020

Deoscillated Graph Collaborative Filtering

Collaborative Filtering (CF) signals are crucial for a Recommender Syste...

0 Zhiwei Liu, et al. ∙

research

∙ 10/22/2020

Basket Recommendation with Multi-Intent Translation Graph Neural Network

The problem of basket recommendation (BR) is to recommend a ranking list...

9 Zhiwei Liu, et al. ∙

research

∙ 08/19/2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Graph Neural Networks (GNNs) have been widely applied to fraud detection...

0 Yingtong Dou, et al. ∙

research

∙ 07/27/2020

Identity-Guided Human Semantic Parsing for Person Re-Identification

Existing alignment-based methods have to employ the pretrained human par...

0 Kuan Zhu, et al. ∙

research

∙ 05/29/2020

Simplifying Deep-Learning-Based Model for Code Search

To accelerate software development, developers frequently search and reu...

0 Chao Liu, et al. ∙

research

∙ 05/01/2020

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

The graph-based model can help to detect suspicious fraud online. Owing ...

0 Zhiwei Liu, et al. ∙

research

∙ 04/29/2020

Real-Time Energy Monitoring in IoT-enabled Mobile Devices

With rapid advancements in the Internet of Things (IoT) paradigm, electr...

0 Nitin Shivaraman, et al. ∙

research

∙ 01/14/2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network

Within-basket recommendation reduces the exploration time of users, wher...

0 Zhiwei Liu, et al. ∙

research

∙ 10/24/2019

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations

With growing consumer adoption of online grocery shopping through platfo...

0 Aditya Mantha, et al. ∙

research

∙ 10/18/2019

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation

Cross-domain recommendation can alleviate the data sparsity problem in r...

18 Zhiwei Liu, et al. ∙

research

∙ 03/26/2019

Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection

Recently, deep learning based facial landmark detection has achieved gre...

4 Zhiwei Liu, et al. ∙

Zhiwei Liu

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