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08/21/2023
Instruction Tuning for Large Language Models: A Survey
This paper surveys research works in the quickly advancing field of inst...
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07/19/2023
DisCover: Disentangled Music Representation Learning for Cover Song Identification
In the field of music information retrieval (MIR), cover song identifica...
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06/08/2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction
Protein-ligand binding affinity (PLBA) prediction is the fundamental tas...
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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...
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03/27/2023
Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization
Combinatorial optimization problems are ubiquitous and computationally h...
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02/14/2023
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System
Recommendation systems have shown great potential to solve the informati...
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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...
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01/03/2023
Protein-Ligand Complex Generator Drug Screening via Tiered Tensor Transform
Accurate determination of a small molecule candidate (ligand) binding po...
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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...
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12/03/2022
A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions
Estimating statistical properties is fundamental in statistics and compu...
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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 ...
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08/19/2022
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
In an era of information explosion, recommendation systems play an impor...
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08/17/2022
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation
Micro-video recommender systems suffer from the ubiquitous noises in use...
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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...
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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...
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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...
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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...
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06/23/2022
Intelligent Request Strategy Design in Recommender System
Waterfall Recommender System (RS), a popular form of RS in mobile applic...
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05/19/2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
Directed evolution is a versatile technique in protein engineering that ...
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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...
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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...
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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...
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01/29/2022
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
Retrosynthesis prediction is one of the fundamental challenges in organi...
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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...
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12/02/2021
Learning Large-scale Network Embedding from Representative Subgraph
We study the problem of large-scale network embedding, which aims to lea...
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11/11/2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
Influenced by the great success of deep learning via cloud computing and...
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10/08/2021
Multi-trends Enhanced Dynamic Micro-video Recommendation
The explosively generated micro-videos on content sharing platforms call...
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10/08/2021
Stable Prediction on Graphs with Agnostic Distribution Shift
Graph is a flexible and effective tool to represent complex structures i...
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09/26/2021
Why Do We Click: Visual Impression-aware News Recommendation
There is a soaring interest in the news recommendation research scenario...
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09/15/2021
Fast Extraction of Word Embedding from Q-contexts
The notion of word embedding plays a fundamental role in natural languag...
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09/11/2021
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
Learning user representations based on historical behaviors lies at the ...
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04/01/2021
Modeling High-order Interactions across Multi-interests for Micro-video Recommendation
Personalized recommendation system has become pervasive in various video...
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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...
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11/01/2020
Future-Aware Diverse Trends Framework for Recommendation
In recommender systems, modeling user-item behaviors is essential for us...
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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...
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08/16/2020
DeVLBert: Learning Deconfounded Visio-Linguistic Representations
In this paper, we propose to investigate the problem of out-of-domain vi...
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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...
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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...
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06/24/2020
Comprehensive Information Integration Modeling Framework for Video Titling
In e-commerce, consumer-generated videos, which in general deliver consu...
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05/13/2020
Adaptive Double-Exploration Tradeoff for Outlier Detection
We study a variant of the thresholding bandit problem (TBP) in the conte...
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02/29/2020
Grounded and Controllable Image Completion by Incorporating Lexical Semantics
In this paper, we present an approach, namely Lexical Semantic Image Com...
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06/22/2019
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
We introduce a new molecular dataset, named Alchemy, for developing mach...
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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...
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06/13/2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Graph Neural Networks (GNNs) achieve an impressive performance on struct...
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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 ...
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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...
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12/07/2018
Quantum algorithms for feedforward neural networks
Quantum machine learning has the potential for broad industrial applicat...
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07/07/2017