Xin Wang

Orcid: 0000-0002-0351-2939

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, China
  • Simon Fraser University, Burnaby, Canada (former)
  • Zhejiang University, Key Laboratory of Service Robot, Hangzhou, China (former)


According to our database1, Xin Wang authored at least 148 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification.
IEEE Trans. Knowl. Data Eng., May, 2024

<i>S<sup>2</sup>CL-Leaf Net</i>: Recognizing Leaf Images Like Human Botanists.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments.
ACM Trans. Inf. Syst., January, 2024

Exploring the Potential of Large Language Models in Graph Generation.
CoRR, 2024

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multimodal Graph Neural Architecture Search under Distribution Shifts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach.
ACM Trans. Multim. Comput. Commun. Appl., November, 2023

Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial-temporal graph neural networks.
Knowl. Based Syst., November, 2023

Disentangled Graph Contrastive Learning With Independence Promotion.
IEEE Trans. Knowl. Data Eng., August, 2023

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network.
IEEE Trans. Knowl. Data Eng., July, 2023

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge.
IEEE Trans. Knowl. Data Eng., May, 2023

DeepLogic: Joint Learning of Neural Perception and Logical Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs.
IEEE Trans. Knowl. Data Eng., March, 2023

Continual Recognition with Adaptive Memory Update.
ACM Trans. Multim. Comput. Commun. Appl., 2023

A Survey on Temporal Sentence Grounding in Videos.
ACM Trans. Multim. Comput. Commun. Appl., 2023

STDMANet: Spatio-Temporal Differential Multiscale Attention Network for Small Moving Infrared Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Disentangled Representation Learning for Recommendation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos.
CoRR, 2023

LLM4VG: Large Language Models Evaluation for Video Grounding.
CoRR, 2023

VTimeLLM: Empower LLM to Grasp Video Moments.
CoRR, 2023

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction.
CoRR, 2023

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion.
CoRR, 2023

Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models.
CoRR, 2023

Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search.
CoRR, 2023

VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning.
CoRR, 2023

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs.
CoRR, 2023

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?
CoRR, 2023

Large Graph Models: A Perspective.
CoRR, 2023

DELTA: Direct Embedding Enhancement and Leverage Truncated Conscious Attention for Recommendation System.
CoRR, 2023

DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation.
CoRR, 2023

Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization.
Proceedings of the ACM Web Conference 2023, 2023


Cross-domain Recommendation with Behavioral Importance Perception.
Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Data-Task Generation for Auxiliary Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation.
Proceedings of the ACM Multimedia Asia 2023, 2023

Intra- and Inter-Modal Curriculum for Multimodal Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

TIVA-KG: A Multimodal Knowledge Graph with Text, Image, Video and Audio.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

HCMA '23: 4th International Workshop on Human-Centric Multimedia Analysis.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

H2V4Sports: Real-Time Horizontal-to-Vertical Video Converter for Sports Lives via Fast Object Detection and Tracking.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Curriculum-Listener: Consistency- and Complementarity-Aware Audio-Enhanced Temporal Sentence Grounding.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mixup-Augmented Temporally Debiased Video Grounding with Content-Location Disentanglement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Disentangled Representation Learning for Multimedia.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multimedia Cognition and Evaluation in Open Environments.
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Adaptive Disentangled Transformer for Sequential Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Curriculum Graph Machine Learning: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation.
Proceedings of the International Conference on Machine Learning, 2023

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

AutoGT: Automated Graph Transformer Architecture Search.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Causal Discovery in Temporal Domain from Interventional Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dynamic Heterogeneous Graph Attention Neural Architecture Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Curriculum Multi-Negative Augmentation for Debiased Video Grounding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-directed machine learning.
AI Open, January, 2022

Visual Question Answering - From Theory to Application
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-981-19-0963-4, 2022

Direction-Aware User Recommendation Based on Asymmetric Network Embedding.
ACM Trans. Inf. Syst., 2022

Intention-Aware Sequential Recommendation With Structured Intent Transition.
IEEE Trans. Knowl. Data Eng., 2022

SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2022

LOVD: Land Vehicle Detection in Complex Scenes of Optical Remote Sensing Image.
IEEE Trans. Geosci. Remote. Sens., 2022

A Survey on Curriculum Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Disentangled Representation Learning.
CoRR, 2022

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
CoRR, 2022

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.
CoRR, 2022

Out-Of-Distribution Generalization on Graphs: A Survey.
CoRR, 2022

Automated Graph Machine Learning: Approaches, Libraries and Directions.
CoRR, 2022

Multimodal Continual Graph Learning with Neural Architecture Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Invariant Graph Representations for Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Module-Aware Optimization for Auxiliary Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CurML: A Curriculum Machine Learning Library.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Curriculum-NAS: Curriculum Weight-Sharing Neural Architecture Search.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AVQA: A Dataset for Audio-Visual Question Answering on Videos.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FastPR: One-stage Semantic Person Retrieval via Self-supervised Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dynamic Spatio-Temporal Modular Network for Video Question Answering.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Video Grounding and Its Generalization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Graph Neural Architecture Search Under Distribution Shifts.
Proceedings of the International Conference on Machine Learning, 2022

Large-Scale Graph Neural Architecture Search.
Proceedings of the International Conference on Machine Learning, 2022

Parametric Visual Program Induction with Function Modularization.
Proceedings of the International Conference on Machine Learning, 2022

DNA: Domain Generalization with Diversified Neural Averaging.
Proceedings of the International Conference on Machine Learning, 2022

Auxiliary Learning with Joint Task and Data Scheduling.
Proceedings of the International Conference on Machine Learning, 2022

RPITN: Review Based Preference Invariance Transfer Network for Cross-Domain Recommendation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results.
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

Inter-and-Intra Domain Attention Relational Inference for Rack Temperature Prediction in Data Center.
Proceedings of the Database Systems for Advanced Applications, 2022

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?
CoRR, 2021

AutoGL: A Library for Automated Graph Learning.
CoRR, 2021

A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics.
CoRR, 2021

Discrete Listwise Collaborative Filtering for Fast Recommendation.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Graph Differentiable Architecture Search with Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Disentangled Contrastive Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Curriculum Disentangled Recommendation with Noisy Multi-feedback.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Not All Low-Pass Filters are Robust in Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

CFCR: A Convolution and Fusion Model for Cross-platform Recommendation.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric.
Proceedings of the HUMA'21: Proceedings of the 2nd International Workshop on Human-centric Multimedia Analysis, 2021

Out-of-distribution Generalization and Its Applications for Multimedia.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Curriculum Meta-Learning for Next POI Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automated Machine Learning on Graphs: A Survey.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AutoAttend: Automated Attention Representation Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Explainable Automated Graph Representation Learning with Hyperparameter Importance.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multimodal Disentangled Representation for Recommendation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

GQNAS: Graph Q Network for Neural Architecture Search.
Proceedings of the IEEE International Conference on Data Mining, 2021

Distilling Holistic Knowledge with Graph Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

MetaDelta: A Meta-Learning System for Few-shot Image Classification.
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

Automated Machine Learning and Meta-Learning for Multimedia
Springer, ISBN: 978-3-030-88131-3, 2021

2020
Multimedia Intelligence: When Multimedia Meets Artificial Intelligence.
IEEE Trans. Multim., 2020

Multi-Modal Deep Analysis for Multimedia.
IEEE Trans. Circuits Syst. Video Technol., 2020

A Comprehensive Survey on Curriculum Learning.
CoRR, 2020

Deep Learning for Learning Graph Representations.
CoRR, 2020

MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Boosting Visual Question Answering with Context-aware Knowledge Aggregation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Commonsense Learning: An Indispensable Path towards Human-centric Multimedia.
Proceedings of the HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, 2020

Multimedia Intelligence: When Multimedia Meets Artificial Intelligence.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Disentangled Self-Supervision in Sequential Recommenders.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-modal Contextual Graph Neural Network for Text Visual Question Answering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hardware-Aware Transformable Architecture Search with Efficient Search Space.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

DGE: Deep Generative Network Embedding Based on Commonality and Individuality.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding.
CoRR, 2019

Compositional Coding for Collaborative Filtering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Semi-supervised Deep Quantization for Cross-modal Search.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Cross-Modal Dual Learning for Sentence-to-Video Generation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Perceptual Visual Reasoning with Knowledge Propagation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

AutoML and Meta-learning for Multimedia.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Social Recommendation with Optimal Limited Attention.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Disentangled Graph Convolutional Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Discrete Social Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Joint User- and Event- Driven Stable Social Event Organization.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Semi-supervised Clustering in Attributed Heterogeneous Information Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

Interactive Social Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Dispersion Constraint Based Non-negative Sparse Coding Model.
Neural Process. Lett., 2016

A new ISR method based on the combination of modified K-SVD model and RAMP algorithm.
Neurocomputing, 2016

Dispersion constraint based non-negative sparse coding algorithm.
Neurocomputing, 2016

Social Recommendation with Strong and Weak Ties.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Friend recommendation with content spread enhancement in social networks.
Inf. Sci., 2015

2005
Intra-superframe power management for IEEE 802.15.3 WPAN.
IEEE Commun. Lett., 2005


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