← Authors

Xiangnan He

64 papers · 2013–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (11) πŸ† Grand Slam 🀝 Dynamic Duo (24) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (228) ❓ The Questioner ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (64) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

IJCAI (16) NIPS (9) ACL (8) AAAI (7) ICLR (6) ICML (6) EMNLP (5) CVPR (4) COLING (1) ICCV (1) IJCNLP (1)

Top co-authors

Xiang Wang (24) Tat-Seng Chua (18) Fuli Feng (17) Jiancan Wu (9) Junkang Wu (7) Hanwang Zhang (7) An Zhang (5) Yanbin Hao (5) Wenjie Wang (5) Zhengyi Yang (4)

Keywords

recommender system (9) collaborative filtering (5) large language model (4) graph neural network (4) text classification (3) multi-task learning (3) negative sampling (3) attention mechanism (3) representation learning (3) user-item interaction (3) few-shot learning (3) recommendation system (3) factorization machine (3) contrastive learning (3) adversarial robustness (2) semi-supervised learning (2) adversarial learning (2) knowledge graph (2) diffusion model (2) graph representation (2)

Papers

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025
AnyEdit: Edit Any Knowledge Encoded in Language Models ICML 2025
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025
Route Sparse Autoencoder to Interpret Large Language Models EMNLP 2025
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models ICLR 2025
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters CVPR 2025
Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025
Unified Parameter-Efficient Unlearning for LLMs ICLR 2025
Personalized Generation In Large Model Era: A Survey ACL 2025
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025
Towards 3D Molecule-Text Interpretation in Language Models ICLR 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NIPS 2024
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ NIPS 2024
Text-to-Image Generation for Abstract Concepts AAAI 2024
Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024
A3S: A General Active Clustering Method with Pairwise Constraints ICML 2024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation ACL 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ICLR 2024
Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NIPS 2023
Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NIPS 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023
Knowledge Graph Embedding by Normalizing Flows AAAI 2023
Understanding Contrastive Learning via Distributionally Robust Optimization NIPS 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NIPS 2023
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning CVPR 2023
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022
Group Contextualization for Video Recognition CVPR 2022
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning EMNLP 2022
Discovering Invariant Rationales for Graph Neural Networks ICLR 2022
Alibaba-Translate China’s Submission for WMT 2022 Quality Estimation Shared Task EMNLP 2022
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning ACL 2022
Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021
Empowering Language Understanding with Counterfactual Reasoning ACL 2021
Graph Learning based Recommender Systems: A Review IJCAI 2021
Empowering Language Understanding with Counterfactual Reasoning IJCNLP 2021
Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction AAAI 2020
Graph-based Aspect Representation Learning for Entity Resolution COLING 2020
Reinforced Negative Sampling for Recommendation with Exposure Data IJCAI 2019
CFM: Convolutional Factorization Machines for Context-Aware Recommendation IJCAI 2019
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering AAAI 2019
Explainable Reasoning over Knowledge Graphs for Recommendation AAAI 2019
Enhancing Stock Movement Prediction with Adversarial Training IJCAI 2019
Counterfactual Critic Multi-Agent Training for Scene Graph Generation ICCV 2019
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network IJCAI 2019
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks IJCAI 2019
Improving Implicit Recommender Systems with View Data IJCAI 2018
Batch IS NOT Heavy: Learning Word Representations From All Samples ACL 2018
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures ACL 2018
Cross-Domain Depression Detection via Harvesting Social Media IJCAI 2018
Outer Product-based Neural Collaborative Filtering IJCAI 2018
Discrete Factorization Machines for Fast Feature-based Recommendation IJCAI 2018
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction IJCAI 2018
SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition IJCAI 2017
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks IJCAI 2017
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI 2017
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology EMNLP 2013