Xiangnan He

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search ACL 2026 Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation ACL 2026 Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models CVPR 2026 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models ICLR 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models ICML 2025 Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025 DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025 Personalized Generation In Large Model Era: A Survey ACL 2025 Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters CVPR 2025 Route Sparse Autoencoder to Interpret Large Language Models EMNLP 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025 Unified Parameter-Efficient Unlearning for LLMs ICLR 2025 β-DPO: Direct Preference Optimization with Dynamic β NeurIPS 2024 A3S: A General Active Clustering Method with Pairwise Constraints ICML 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ICLR 2024 Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024 Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NeurIPS 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024 Text-like Encoding of Collaborative Information in Large Language Models for Recommendation ACL 2024 Text-to-Image Generation for Abstract Concepts AAAI 2024 Towards 3D Molecule-Text Interpretation in Language Models ICLR 2024 Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023 Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning CVPR 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NeurIPS 2023 Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NeurIPS 2023 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NeurIPS 2023 Knowledge Graph Embedding by Normalizing Flows AAAI 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NeurIPS 2023 Understanding Contrastive Learning via Distributionally Robust Optimization NeurIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NeurIPS 2023 Alibaba-Translate China’s Submission for WMT 2022 Quality Estimation Shared Task EMNLP 2022 DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning EMNLP 2022 Discovering Invariant Rationales for Graph Neural Networks ICLR 2022 Group Contextualization for Video Recognition CVPR 2022 Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning ACL 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022 Empowering Language Understanding with Counterfactual Reasoning ACL 2021 Graph Learning based Recommender Systems: A Review IJCAI 2021 Towards Multi-Grained Explainability for Graph Neural Networks NeurIPS 2021 Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020 Graph-based Aspect Representation Learning for Entity Resolution COLING 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 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering AAAI 2019 CFM: Convolutional Factorization Machines for Context-Aware Recommendation IJCAI 2019 Counterfactual Critic Multi-Agent Training for Scene Graph Generation ICCV 2019 Enhancing Stock Movement Prediction with Adversarial Training IJCAI 2019 Explainable Reasoning over Knowledge Graphs for Recommendation AAAI 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network IJCAI 2019 Reinforced Negative Sampling for Recommendation with Exposure Data IJCAI 2019 Semi-supervised User Profiling with Heterogeneous Graph Attention Networks IJCAI 2019 A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction IJCAI 2018 Batch IS NOT Heavy: Learning Word Representations From All Samples ACL 2018 Cross-Domain Depression Detection via Harvesting Social Media IJCAI 2018 Discrete Factorization Machines for Fast Feature-based Recommendation IJCAI 2018 Improving Implicit Recommender Systems with View Data IJCAI 2018 Outer Product-based Neural Collaborative Filtering IJCAI 2018 Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures ACL 2018 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 SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition IJCAI 2017 Mining Scientific Terms and their Definitions: A Study of the ACL Anthology EMNLP 2013