Shiliang Sun
36 papers · 2010–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (78) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(13)
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Keyword Champion
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Keyword Pioneer
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Silver
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(183)
Top co-authors
Research topics
Machine Learning
(26)
Artificial Intelligence
(16)
Deep Learning
(16)
Learning Types Β· Machine Learning
(13)
Core AI
(12)
Natural Language Processing
(11)
Optimization & Theory
(11)
Core Methods
(10)
Architectures
(9)
Applications
(8)
Learning Types Β· Deep Learning
(8)
Computer Vision
(4)
Application Areas
(4)
Data Science & Analytics
(3)
Bayesian & Probabilistic
(3)
Keywords
neural machine translation
(4)
variational inference
(3)
bayesian inference
(3)
multimodal machine translation
(3)
representation learning
(3)
support vector machine
(3)
multi-view learning
(3)
relation extraction
(3)
neural network
(2)
entity extraction
(2)
bottleneck adapter
(2)
gaussian process
(2)
dynamical system
(2)
machine translation
(2)
deep reinforcement learning
(2)
transfer learning
(2)
multimodal learning
(2)
multimodal fusion
(2)
approximate inference
(1)
3d reconstruction
(1)
Papers
Temporal and Spatial Representation Learning for Multimodal Low-Beam 3D Object Detection
AAAI 2026
Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation
EMNLP 2025
Multimodal Machine Translation with Text-Image In-depth Questioning
ACL 2025
VQA-Augmented Machine Translation with Cross-Modal Contrastive Learning
EMNLP 2025
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
AAAI 2024
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
ICML 2024
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving
AAAI 2024
CP-Rec: Contextual Prompting for Conversational Recommender Systems
AAAI 2023
Multi-view Collaborative Gaussian Process Dynamical Systems
JMLR 2023
RETRACTED: McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning
AAAI 2023
Retraction Note to: McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning
AAAI 2023
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation
AAAI 2023
Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation
IJCAI 2022
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning
AAAI 2022
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
IJCAI 2022
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion
AAAI 2021
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
ICML 2021
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
AAAI 2020
HW-TSCβs Participation at WMT 2020 Automatic Post Editing Shared Task
EMNLP 2020
HW-TSCβs Participation at WMT 2020 Quality Estimation Shared Task
EMNLP 2020
HW-TSCβs Participation in the WMT 2020 News Translation Shared Task
EMNLP 2020
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract)
AAAI 2020
Semismooth Newton Algorithm for Efficient Projections onto β_1, β-norm Ball
ICML 2020
Joint Type Inference on Entities and Relations via Graph Convolutional Networks
ACL 2019
Extracting Entities and Relations with Joint Minimum Risk Training
EMNLP 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors
NeurIPS 2018
A Learning Error Analysis for Structured Prediction with Approximate Inference
NeurIPS 2017
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network
EACL 2017
Variational Mixtures of Gaussian Processes for Classification
IJCAI 2017
Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination
IJCAI 2016
Variational Dependent Multi-output Gaussian Process Dynamical Systems
JMLR 2016
An Online Learning Algorithm for Bilinear Models
ICML 2015
Revisiting Gaussian Process Dynamical Models
IJCAI 2015
Multi-View Maximum Entropy Discrimination
IJCAI 2013
PAC-Bayes Bounds with Data Dependent Priors
JMLR 2012
Sparse Semi-supervised Learning Using Conjugate Functions
JMLR 2010