An Zhang
28 papers · 2021–2026 · 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.
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🗺️ Taxonomy Completionist (59) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(19)
Artificial Intelligence
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Core AI
(18)
Deep Learning
(13)
Learning Types · Machine Learning
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Natural Language Processing
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Learning Types · Deep Learning
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Application Areas
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Generation
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Models
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Resources & Methods
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Data Science & Analytics
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Applications
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Keywords
large language model
(8)
graph neural network
(5)
representation learning
(4)
contrastive learning
(4)
recommender system
(4)
self-supervised learning
(3)
safety alignment
(3)
collaborative filtering
(3)
adversarial robustness
(2)
direct preference optimization
(2)
preference modeling
(2)
language model
(2)
knowledge editing
(2)
preference learning
(2)
out-of-distribution generalization
(2)
graph classification
(1)
causal discovery
(1)
multi-task learning
(1)
structure learning
(1)
logistic regression
(1)
Papers
Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation
ACL 2026
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
AAAI 2026
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
EMNLP 2025
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
ACL 2025
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
ICLR 2025
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
NAACL 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
Language Representations Can be What Recommenders Need: Findings and Potentials
ICLR 2025
MPO: Multilingual Safety Alignment via Reward Gap Optimization
ACL 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
Preference Diffusion for Recommendation
ICLR 2025
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
NeurIPS 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
NeurIPS 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
ECCV 2024
On Softmax Direct Preference Optimization for Recommendation
NeurIPS 2024
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
ACL 2024
ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining
ACL 2024
Towards Neuron Attributions in Multi-Modal Large Language Models
NeurIPS 2024
Boosting Causal Discovery via Adaptive Sample Reweighting
ICLR 2023
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
NeurIPS 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
NeurIPS 2023
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction
EMNLP 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NeurIPS 2023
Discovering Invariant Rationales for Graph Neural Networks
ICLR 2022
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
NeurIPS 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
ICML 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
NeurIPS 2022
Towards Multi-Grained Explainability for Graph Neural Networks
NeurIPS 2021