Wei Zhang

Orcid: 0000-0001-6763-8146

Affiliations:
  • East China Normal University, School of Computer Science and Technology, Shanghai, China
  • Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Beijing, China (PhD 2016)


According to our database1, Wei Zhang authored at least 134 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., June, 2024

Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction.
IEEE Trans. Knowl. Data Eng., March, 2024

Learning Interpretable Rules for Scalable Data Representation and Classification.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Contrastive Personalized Exercise Recommendation With Reinforcement Learning.
IEEE Trans. Learn. Technol., 2024

EarthGPT: A Universal Multimodal Large Language Model for Multisensor Image Comprehension in Remote Sensing Domain.
IEEE Trans. Geosci. Remote. Sens., 2024

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR, 2024

EarthMarker: Visual Prompt Learning for Region-level and Point-level Remote Sensing Imagery Comprehension.
CoRR, 2024

Estimating Difficulty Levels of Programming Problems with Pre-trained Model.
CoRR, 2024

OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation.
CoRR, 2024

Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery.
CoRR, 2024

Explainable Session-based Recommendation via Path Reasoning.
CoRR, 2024

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.
CoRR, 2024

A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations.
CoRR, 2024

LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement.
CoRR, 2024

EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain.
CoRR, 2024

Contrastive Learning with Negative Sampling Correction.
CoRR, 2024

Dynamic Token-Pass Transformers for Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Diffusion-Geo: A Two-Stage Controllable Text-To-Image Generative Model for Remote Sensing Scenarios.
Proceedings of the IGARSS 2024, 2024

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers.
Proceedings of the IEEE International Conference on Acoustics, 2024

DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

D2LLM: Decomposed and Distilled Large Language Models for Semantic Search.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Conditional pseudo-supervised contrast for data-Free knowledge distillation.
Pattern Recognit., November, 2023

Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing.
ACM Trans. Inf. Syst., October, 2023

Investigating Spatial Variations of Compound Heat-Precipitation Events in Guangdong, China through a Convection-Permitting Model.
Remote. Sens., October, 2023

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Learning Social Relations and Spatiotemporal Trajectories for Next Check-in Inference.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders.
NeuroImage, April, 2023

Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng., March, 2023

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution.
CoRR, 2023

Dynamic Token-Pass Transformers for Semantic Segmentation.
CoRR, 2023

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.
CoRR, 2023

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.
CoRR, 2023

Quantize Sequential Recommenders Without Private Data.
Proceedings of the ACM Web Conference 2023, 2023

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning to Binarize Continuous Features for Neuro-Rule Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Data-free Knowledge Distillation for Fine-grained Visual Categorization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Self-Decoupling and Ensemble Distillation for Efficient Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation.
ACM Trans. Inf. Syst., 2022

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads.
IEEE Trans. Neural Networks Learn. Syst., 2022

Attentive Representation Learning With Adversarial Training for Short Text Clustering.
IEEE Trans. Knowl. Data Eng., 2022

A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain.
Remote. Sens., 2022

Collaboration of Pre-trained Models Makes Better Few-shot Learner.
CoRR, 2022

Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain.
CoRR, 2022

Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-view Pre-trained Model for Code Vulnerability Identification.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Is it fair? Resource allocation for differentiated services on demands.
Proceedings of the IEEE International Conference on Web Services, 2022

Effective Few-Shot Named Entity Linking by Meta-Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification.
Proceedings of the Computer Vision - ECCV 2022, 2022

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

PointCLIP: Point Cloud Understanding by CLIP.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Data-Free Knowledge Transfer: A Survey.
CoRR, 2021

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.
CoRR, 2021

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning.
CoRR, 2021

Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories.
CoRR, 2021

Scalable Rule-Based Representation Learning for Interpretable Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Global Cognition and Local Perception Network for Blind Image Deblurring.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Adaptable Ensemble Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dual-Stream Network Based On Global Guidance for Salient Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

Tracking and decision of outsourcing service for auto parts.
Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021

Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack.
Proceedings of the Database Systems for Advanced Applications, 2021

Zero-Shot Adversarial Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Source-Free Domain Adaptation for Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-Based Tri-Attention Network for Answer Ranking in CQA.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adaptive multi-teacher multi-level knowledge distillation.
Neurocomputing, 2020

ITISS: an efficient framework for querying big temporal data.
GeoInformatica, 2020

Editorial of Special Issue of ICDM 2019.
Data Sci. Eng., 2020

Learning from a Lightweight Teacher for Efficient Knowledge Distillation.
CoRR, 2020

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Fine-grained Task Scheduling in Cloud Data Centers Using Simulated-annealing-based Bees Algorithm.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

HyFea: Winning Solution to Social Media Popularity Prediction for Multimedia Grand Challenge 2020.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improved Representations for Personalized Document-Level Sentiment Classification.
Proceedings of the Database Systems for Advanced Applications, 2020

Sequential Multi-fusion Network for Multi-channel Video CTR Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.
Proceedings of the Database Systems for Advanced Applications, 2020

Maximal Information Complemented Refinement Network for Gland Instance Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Multi-scale Generative Adversarial Network for Automatic Sublingual Vein Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Automatic Tongue Crack Extraction For Real-Time Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
基于维基百科类别图的推特用户兴趣挖掘 (Mining User Interests on Twitter Using Wikipedia Category Graph).
计算机科学, 2019

A Novel Hybrid Sequential Model for Review-Based Rating Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Content-Based Video Relevance Prediction with Multi-view Multi-level Deep Interest Network.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Learning Robust Representations with Graph Denoising Policy Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning.
Proceedings of the Database Systems for Advanced Applications, 2019

Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction.
Proceedings of the Database Systems for Advanced Applications, 2019

Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Distinguishing Computer-Generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning.
Sensors, 2018

Minimum sensitivity based robust beamforming with eigenspace decomposition.
Multidimens. Syst. Signal Process., 2018

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

The Poisson multi-media knowledge construction System for TAC KBP 2018.
Proceedings of the 2018 Text Analysis Conference, 2018

Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Model-based Clustering of Short Text Streams.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Distributed In-Memory Analytics for Big Temporal Data.
Proceedings of the Database Systems for Advanced Applications, 2018

Factorization Meets Memory Network: Learning to Predict Activity Popularity.
Proceedings of the Database Systems for Advanced Applications, 2018

Personalized Prescription for Comorbidity.
Proceedings of the Database Systems for Advanced Applications, 2018

Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Combining Multiple Features for Image Popularity Prediction in Social Media.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

An adaptive coding and modulation based multicast scheme to reduce bandwidth consumption in the next generation satellite TV systems.
Proceedings of the 2017 International Conference on Computing, 2017

2016
Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction.
IEEE Trans. Knowl. Data Eng., 2016

Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Prior-Based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Computationally efficient 2-D DOA estimation for uniform rectangular arrays.
Multidimens. Syst. Signal Process., 2014

Joint Transmission and Reception Diversity Smoothing for Direction Finding of Coherent Targets in MIMO Radar.
IEEE J. Sel. Top. Signal Process., 2014

2013
Robust Capon beamforming against large DOA mismatch.
Signal Process., 2013

Robust minimum variance multiple-input multiple-output radar beamformer.
IET Signal Process., 2013

Joint DOA and Array Manifold Estimation for a MIMO Array Using Two Calibrated Antennas.
CoRR, 2013

Combining latent factor model with location features for event-based group recommendation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Integrating Semantic Relatedness and Words' Intrinsic Features for Keyword Extraction.
Proceedings of the IJCAI 2013, 2013

DOA estimation of coherent targets in MIMO radar.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Low-complexity blind beamforming based on cyclostationarity.
Proceedings of the 20th European Signal Processing Conference, 2012


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