An Zhang
28 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Conference Polyglot (7) π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5)
π
Academic Marathon
(5)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(48)
π§¬
Topic Evolution
π
Grand Slam
π
Triple Crown
π€
Dynamic Duo
(20)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(110)
π
Century Club
(26)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
NIPS (10)
ACL (6)
ICLR (5)
EMNLP (3)
AAAI (1)
ECCV (1)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(7)
representation learning
(4)
graph neural network
(4)
contrastive learning
(3)
self-supervised learning
(3)
safety alignment
(3)
adversarial robustness
(2)
collaborative filtering
(2)
direct preference optimization
(2)
language model
(2)
knowledge editing
(2)
recommender system
(2)
noisy label learning
(1)
preference learning
(1)
multi-task learning
(1)
graph classification
(1)
cross-modal learning
(1)
logistic regression
(1)
adversarial learning
(1)
text generation
(1)
Papers
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
AAAI 2026
Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation
ACL 2026
MPO: Multilingual Safety Alignment via Reward Gap Optimization
ACL 2025
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
ACL 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
EMNLP 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
Preference Diffusion for Recommendation
ICLR 2025
Language Representations Can be What Recommenders Need: Findings and Potentials
ICLR 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
ReactXT: Understanding Molecular βReaction-shipβ via Reaction-Contextualized Molecule-Text Pretraining
ACL 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
ECCV 2024
On Softmax Direct Preference Optimization for Recommendation
NIPS 2024
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
NIPS 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
NIPS 2024
Towards Neuron Attributions in Multi-Modal Large Language Models
NIPS 2024
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
ACL 2024
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
NIPS 2023
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction
EMNLP 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
NIPS 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NIPS 2023
Boosting Causal Discovery via Adaptive Sample Reweighting
ICLR 2023
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
NIPS 2022
Discovering Invariant Rationales for Graph Neural Networks
ICLR 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
ICML 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
NIPS 2022
Towards Multi-Grained Explainability for Graph Neural Networks
NIPS 2021