b'Shengyu Zhang'

research

∙ 05/25/2023

A Scalable, Fast and Programmable Neural Decoder for Fault-Tolerant Quantum Computation Using Surface Codes

Quantum error-correcting codes (QECCs) can eliminate the negative effect...

0 Mengyu Zhang, et al. ∙

research

∙ 03/27/2023

Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization

Combinatorial optimization problems are ubiquitous and computationally h...

0 Lixue Cheng, et al. ∙

research

∙ 02/14/2023

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System

Recommendation systems have shown great potential to solve the informati...

0 Zheqi Lv, et al. ∙

research

∙ 01/12/2023

Multi-Constraint Molecular Generation using Sparsely Labelled Training Data for Localized High-Concentration Electrolyte Diluent Screening

Recently, machine learning methods have been used to propose molecules w...

0 Jonathan P. Mailoa, et al. ∙

research

∙ 01/03/2023

Protein-Ligand Complex Generator Drug Screening via Tiered Tensor Transform

Accurate determination of a small molecule candidate (ligand) binding po...

0 Jonathan P. Mailoa, et al. ∙

research

∙ 12/13/2022

Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization

Rate-Splitting Multiple Access (RSMA) has recently found favour in the m...

0 Shengyu Zhang, et al. ∙

research

∙ 12/03/2022

A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions

Estimating statistical properties is fundamental in statistics and compu...

0 Tongyang Li, et al. ∙

research

∙ 09/12/2022

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

Device Model Generalization (DMG) is a practical yet under-investigated ...

12 Zheqi Lv, et al. ∙

research

∙ 08/19/2022

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling

In an era of information explosion, recommendation systems play an impor...

0 Zheqi Lv, et al. ∙

research

∙ 08/17/2022

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation

Micro-video recommender systems suffer from the ubiquitous noises in use...

0 Shengyu Zhang, et al. ∙

research

∙ 08/17/2022

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation

Effectively representing users lie at the core of modern recommender sys...

0 Shengyu Zhang, et al. ∙

research

∙ 08/11/2022

HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding

Video Object Grounding (VOG) is the problem of associating spatial objec...

0 Mengze Li, et al. ∙

research

∙ 08/03/2022

Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos

Understanding human emotions is a crucial ability for intelligent robots...

2 Juncheng Li, et al. ∙

research

∙ 07/09/2022

BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval

Content-Based Image Retrieval (CIR) aims to search for a target image by...

1 Wenqiao Zhang, et al. ∙

research

∙ 06/23/2022

Intelligent Request Strategy Design in Recommender System

Waterfall Recommender System (RS), a popular form of RS in mobile applic...

0 Xufeng Qian, et al. ∙

research

∙ 05/19/2022

ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution

Directed evolution is a versatile technique in protein engineering that ...

4 Lixue Cheng, et al. ∙

research

∙ 03/15/2022

End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding

Natural language spatial video grounding aims to detect the relevant obj...

0 Mengze Li, et al. ∙

research

∙ 03/04/2022

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

In this paper, we propose a novel semi-supervised learning (SSL) framewo...

0 Wenqiao Zhang, et al. ∙

research

∙ 02/21/2022

A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation

Network pruning and knowledge distillation are two widely-known model co...

0 Dongqi Wang, et al. ∙

research

∙ 01/29/2022

Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer

Retrosynthesis prediction is one of the fundamental challenges in organi...

0 Yue Wan, et al. ∙

research

∙ 12/13/2021

MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning

Text-based image captioning (TextCap) requires simultaneous comprehensio...

5 Wenqiao Zhang, et al. ∙

research

∙ 12/02/2021

Learning Large-scale Network Embedding from Representative Subgraph

We study the problem of large-scale network embedding, which aims to lea...

9 Junsheng Kong, et al. ∙

research

∙ 11/11/2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey

Influenced by the great success of deep learning via cloud computing and...

0 Jiangchao Yao, et al. ∙

research

∙ 10/08/2021

Multi-trends Enhanced Dynamic Micro-video Recommendation

The explosively generated micro-videos on content sharing platforms call...

0 Yujie Lu, et al. ∙

research

∙ 10/08/2021

Stable Prediction on Graphs with Agnostic Distribution Shift

Graph is a flexible and effective tool to represent complex structures i...

0 Shengyu Zhang, et al. ∙

research

∙ 09/26/2021

Why Do We Click: Visual Impression-aware News Recommendation

There is a soaring interest in the news recommendation research scenario...

0 Jiahao Xun, et al. ∙

research

∙ 09/15/2021

Fast Extraction of Word Embedding from Q-contexts

The notion of word embedding plays a fundamental role in natural languag...

19 Junsheng Kong, et al. ∙

research

∙ 09/11/2021

CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation

Learning user representations based on historical behaviors lies at the ...

0 Shengyu Zhang, et al. ∙

research

∙ 04/01/2021

Modeling High-order Interactions across Multi-interests for Micro-video Recommendation

Personalized recommendation system has become pervasive in various video...

0 Dong Yao, et al. ∙

research

∙ 11/10/2020

On the cut dimension of a graph

Let G = (V,w) be a weighted undirected graph with m edges. The cut dimen...

0 Troy Lee, et al. ∙

research

∙ 11/01/2020

Future-Aware Diverse Trends Framework for Recommendation

In recommender systems, modeling user-item behaviors is essential for us...

0 Yujie Lu, et al. ∙

research

∙ 10/02/2020

MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination

In this paper, we investigate the problem of text-to-pedestrian synthesi...

0 Shengyu Zhang, et al. ∙

research

∙ 08/16/2020

DeVLBert: Learning Deconfounded Visio-Linguistic Representations

In this paper, we propose to investigate the problem of out-of-domain vi...

0 Shengyu Zhang, et al. ∙

research

∙ 08/16/2020

Poet: Product-oriented Video Captioner for E-commerce

In e-commerce, a growing number of user-generated videos are used for pr...

0 Shengyu Zhang, et al. ∙

research

∙ 07/16/2020

Quantum algorithms for graph problems with cut queries

Let G be an n-vertex graph with m edges. When asked a subset S of vertic...

0 Troy Lee, et al. ∙

research

∙ 06/24/2020

Comprehensive Information Integration Modeling Framework for Video Titling

In e-commerce, consumer-generated videos, which in general deliver consu...

0 Shengyu Zhang, et al. ∙

research

∙ 05/13/2020

Adaptive Double-Exploration Tradeoff for Outlier Detection

We study a variant of the thresholding bandit problem (TBP) in the conte...

0 Xiaojin Zhang, et al. ∙

research

∙ 02/29/2020

Grounded and Controllable Image Completion by Incorporating Lexical Semantics

In this paper, we present an approach, namely Lexical Semantic Image Com...

10 Shengyu Zhang, et al. ∙

research

∙ 06/22/2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...

15 Guangyong Chen, et al. ∙

research

∙ 06/13/2019

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR

Noisy labels are ubiquitous in real-world datasets, which poses a challe...

0 Pengfei Chen, et al. ∙

research

∙ 06/13/2019

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization

Graph Neural Networks (GNNs) achieve an impressive performance on struct...

0 Pengfei Chen, et al. ∙

research

∙ 05/15/2019

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks

In this work, we propose a novel technique to boost training efficiency ...

0 Guangyong Chen, et al. ∙

research

∙ 05/13/2019

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Noisy labels are ubiquitous in real-world datasets, which poses a challe...

0 Pengfei Chen, et al. ∙

research

∙ 12/07/2018

Quantum algorithms for feedforward neural networks

Quantum machine learning has the potential for broad industrial applicat...

0 Jonathan Allcock, et al. ∙

research

∙ 07/07/2017

Networked Fairness in Cake Cutting

We introduce a graphical framework for fair division in cake cutting, wh...

0 Xiaohui Bei, et al. ∙

Shengyu Zhang

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