Xiang Wang

Orcid: 0000-0002-6148-6329

Affiliations:

University of Science and Technology of China, CCCD Key Lab of Ministry of Culture and Tourism, Hefei, China
National University of Singapore, School of Computing, Singapore (PhD 2019)

According to our database¹, Xiang Wang authored at least 220 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

On Negative-aware Preference Optimization for Recommendation.

[BibT_eX]

[DOI]

CoRR, August, 2025

Interpretable Reward Model via Sparse Autoencoder.

[BibT_eX]

[DOI]

CoRR, August, 2025

AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, July, 2025

Counterfactual Tuning for Temporal Sensitivity Enhancement in Large Language Model-based Recommendation.

[BibT_eX]

[DOI]

CoRR, July, 2025

SAFER: Probing Safety in Reward Models with Sparse Autoencoder.

[BibT_eX]

[DOI]

CoRR, July, 2025

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems.

[BibT_eX]

[DOI]

CoRR, June, 2025

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

CoRT: Code-integrated Reasoning within Thinking.

[BibT_eX]

[DOI]

CoRR, June, 2025

On Reasoning Strength Planning in Large Reasoning Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint.

[BibT_eX]

[DOI]

CoRR, June, 2025

Reinforced Prompt Personalization for Recommendation with Large Language Models.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., May, 2025

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling.

[BibT_eX]

[DOI]

CoRR, March, 2025

Route Sparse Autoencoder to Interpret Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

ACE: Concept Editing in Diffusion Models without Performance Degradation.

[BibT_eX]

[DOI]

CoRR, March, 2025

RePO: ReLU-based Preference Optimization.

[BibT_eX]

[DOI]

CoRR, March, 2025

START: Self-taught Reasoner with Tools.

[BibT_eX]

[DOI]

CoRR, March, 2025

Larger or Smaller Reward Margins to Select Preferences for Alignment?

[BibT_eX]

[DOI]

CoRR, March, 2025

A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Self-attentive Rationalization for Interpretable Graph Contrastive Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Prior Preserved Text-to-Image Personalization Without Image Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., February, 2025

Reinforced Lifelong Editing for Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

AnyEdit: Edit Any Knowledge Encoded in Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Multi-agent Architecture Search via Agentic Supernet.

[BibT_eX]

[DOI]

CoRR, February, 2025

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2025

Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions.

[BibT_eX]

[DOI]

CoRR, February, 2025

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, January, 2025

CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion.

[BibT_eX]

[DOI]

CoRR, January, 2025

Explainable and Efficient Editing for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Generative Recommendation Models: Progress and Directions.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Addressing Missing Data Issue for Diffusion-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Multi-Grained Patch Training for Efficient LLM-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Unified Invariant Learning Framework for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Language Representations Can be What Recommenders Need: Findings and Potentials.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unified Parameter-Efficient Unlearning for LLMs.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Robust Preference Optimization via Dynamic Target Margins.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Neuron-Level Sequential Editing for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Inductive Lottery Ticket Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., November, 2024

Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2024

On the Effectiveness of Sampled Softmax Loss for Item Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2024

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2024

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, June, 2024

Robust Collaborative Filtering to Popularity Distribution Shift.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., May, 2024

Rule-Guided Counterfactual Explainable Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2024

Learning to Double-Check Model Prediction From a Causal Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Position-aware Graph Transformer for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Intelligent System for Automated Molecular Patent Infringement Assessment.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models Empower Personalized Valuation in Auction.

[BibT_eX]

[DOI]

CoRR, 2024

Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.

[BibT_eX]

[DOI]

CoRR, 2024

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs.

[BibT_eX]

[DOI]

CoRR, 2024

Neuron-Level Sequential Editing for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Text-guided Diffusion Model for 3D Molecule Generation.

[BibT_eX]

[DOI]

CoRR, 2024

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Language Models Encode Collaborative Signals in Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

[BibT_eX]

[DOI]

CoRR, 2024

Alleviating Structural Distribution Shift in Graph Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Invariant Graph Learning for Causal Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Graph Anomaly Detection with Bi-level Optimization.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

LLaRA: Large Language-Recommendation Assistant.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

On Generative Agents in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

β-DPO: Direct Preference Optimization with Dynamic β.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Neuron Attributions in Multi-Modal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On Softmax Direct Preference Optimization for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards 3D Molecule-Text Interpretation in Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BSL: Understanding and Improving Softmax Loss for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Masked Graph Modeling with Multi- View Contrast.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Disentangling Masked Autoencoders for Unsupervised Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LASO: Language-Guided Affordance Segmentation on 3D Object.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MolTC: Towards Molecular Relational Modeling In Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Text-to-Image Generation for Abstract Concepts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Inference for Knowledge Graph Based Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Rumor detection with self-supervised learning on texts and social graph.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., August, 2023

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2023

Time-aware Path Reasoning on Knowledge Graph for Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., April, 2023

User Perception of Recommendation Explanation: Are Your Explanations What Users Need?

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., April, 2023

Bias and Debias in Recommender System: A Survey and Future Directions.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2023

Self-Supervised Learning for Multimedia Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Reinforced Causal Explainer for Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

LLaRA: Aligning Large Language Models with Sequential Recommenders.

[BibT_eX]

[DOI]

CoRR, 2023

Structured, Complex and Time-complete Temporal Event Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Model Can Interpret Latent Space of Sequential Recommender.

[BibT_eX]

[DOI]

CoRR, 2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

On Generative Agents in Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Heterophily-aware Social Bot Detection with Supervised Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting.

[BibT_eX]

[DOI]

CoRR, 2023

GIF: A General Graph Unlearning Strategy via Influence Function.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Invariant Collaborative Filtering to Popularity Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Alleviating Structural Distribution Shift in Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Cooperative Explanations of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Strategy-aware Bundle Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LightGT: A Light Graph Transformer for Multimedia Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Contrastive Learning via Distributionally Robust Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Redundancy-aware Transformer for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Context-aware Event Forecasting via Graph Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Discovering Dynamic Causal Space for DAG Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Graph-based Code Representations for Source-level Functional Similarity Detection.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Boosting Causal Discovery via Adaptive Sample Reweighting.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Discovering Spatio-Temporal Rationales for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Hierarchical User Intent Graph Network for Multimedia Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Exploring lottery ticket hypothesis in media recommender systems.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

Graph convolution machine for context-aware recommender system.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Adversarial Causal Augmentation for Graph Covariate Shift.

[BibT_eX]

[DOI]

CoRR, 2022

Differentiable Invariant Causal Discovery.

[BibT_eX]

[DOI]

CoRR, 2022

Rumor Detection with Self-supervised Learning on Texts and Social Graph.

[BibT_eX]

[DOI]

CoRR, 2022

Deconfounding to Explanation Evaluation in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Training Free Graph Neural Networks for Graph Matching.

[BibT_eX]

[DOI]

CoRR, 2022

On the Effectiveness of Sampled Softmax Loss for Item Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Cross Pairwise Ranking for Unbiased Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Neural Networks for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Self-Supervised Learning for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Equivariant and Invariant Grounding for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Causal Attention for Interpretable and Generalizable Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TeLL: log level suggestions via modeling multi-level code block information.

[BibT_eX]

[DOI]

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Copy Motion From One to Another: Fake Motion Video Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Spatial-Temporal Correlation Modeling for Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Discovering Invariant Rationales for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Invariant Grounding for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Deconfounded Training for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback.

[BibT_eX]

[DOI]

CoRR, 2021

Hierarchical User Intent Graph Network forMultimedia Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-supervised Graph Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Towards Multi-Grained Explainability for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Learning for Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deconfounded Recommendation for Alleviating Bias Amplification.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Time horizon-aware modeling of financial texts for stock price prediction.

[BibT_eX]

[DOI]

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Visual Boundary Knowledge Translation for Foreground Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

MGAT: Multimodal Graph Attention Network for Recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

HoAFM: A High-order Attentive Factorization Machine for CTR Prediction.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

Bilinear Graph Neural Network with Node Interactions.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Convolution Machine for Context-aware Recommender System.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforced Negative Sampling over Knowledge Graph for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Disentangled Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

How to Learn Item Representation for Cold-Start Multimedia Recommendation?

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Interactive Path Reasoning on Graph for Conversational Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Bilinear Graph Neural Network with Neighbor Interactions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Item-based Collaborative Filtering for Top-N Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2019

Temporal Relational Ranking for Stock Prediction.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2019

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Interpretable Fashion Matching with Rich Attributes.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

KGAT: Knowledge Graph Attention Network for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning and Reasoning on Graph for Recommendation.

[BibT_eX]

[DOI]

Xiang Wang

Xiangnan He

Tat-Seng Chua

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Reasoning over Knowledge Graphs for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

TEM: Tree-enhanced Embedding Model for Explainable Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Personal Privacy Preserving Framework: I Let You Know Who Can See What.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Attentive Moment Retrieval in Videos.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Cross-modal Moment Localization in Videos.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Outer Product-based Neural Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2017

Data-Driven Answer Selection in Community QA Systems.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Item Silk Road: Recommending Items from Information Domains to Social Users.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Computational Social Indicators: A Case Study of Chinese University Ranking.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Enhancing Micro-video Understanding by Harnessing External Sounds.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Shorter-is-Better: Venue Category Estimation from Micro-Video.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2013

On Hermitian and skew-Hermitian splitting iteration methods for the linear matrix equation AXB=C.

[BibT_eX]

[DOI]

Xiang Wang

Yan Li

Lin Dai

Comput. Math. Appl., 2013

Xiang Wang

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