Suhang Wang
37 papers · 2015–2026 · 12 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 (71) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Topic Evolution
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Keyword Champion
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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(171)
Venues
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Research topics
Machine Learning
(29)
Artificial Intelligence
(22)
Core AI
(20)
Learning Types Β· Machine Learning
(20)
Deep Learning
(16)
Natural Language Processing
(11)
Architectures
(9)
Application Areas
(8)
Core Methods
(8)
Models
(8)
Learning Types Β· Deep Learning
(7)
Applications
(4)
Resources & Methods
(4)
Data Science & Analytics
(3)
Optimization & Theory
(3)
Keywords
large language model
(12)
graph neural network
(8)
knowledge graph
(3)
contrastive learning
(3)
self-supervised learning
(3)
machine unlearning
(3)
node classification
(3)
model compression
(3)
domain adaptation
(3)
recommender system
(2)
representation learning
(2)
extractive question answering
(2)
few-shot learning
(2)
vision-language model
(2)
adversarial robustness
(1)
certified robustness
(1)
multi-task learning
(1)
semi-supervised learning
(1)
privacy attack
(1)
unsupervised learning
(1)
Papers
A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains
ACL 2026
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
EACL 2026
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
EACL 2026
Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems
ACL 2026
SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis
AAAI 2026
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
EACL 2026
A General Framework to Enhance Fine-tuning-based LLM Unlearning
ACL 2025
Catastrophic Failure of LLM Unlearning via Quantization
ICLR 2025
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
ACL 2025
Exploring Language Model Generalization in Low-Resource Extractive QA
COLING 2025
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
EMNLP 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
NAACL 2025
Robustness Inspired Graph Backdoor Defense
ICLR 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
ACL 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
COLING 2025
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
ECCV 2024
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
ICML 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
ACL 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
EMNLP 2024
Language Models as Semantic Indexers
ICML 2024
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
AAAI 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
ICLR 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation
NAACL 2024
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NeurIPS 2023
Certifiably Robust Graph Contrastive Learning
NeurIPS 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations
NeurIPS 2023
Decoupled Self-supervised Learning for Graphs
NeurIPS 2022
Towards Off-Policy Learning for Ranking Policies with Logged Feedback
AAAI 2022
Neural Utility Functions
AAAI 2021
Graph Few-Shot Learning via Knowledge Transfer
AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
AAAI 2020
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
IJCAI 2019
Unsupervised Fake News Detection on Social Media: A Generative Approach
AAAI 2019
PPP: Joint Pointwise and Pairwise Image Label Prediction
CVPR 2016
Exploring Implicit Hierarchical Structures for Recommender Systems
IJCAI 2015
Unsupervised Sentiment Analysis for Social Media Images
IJCAI 2015