Tong Xu

Orcid: 0000-0003-4246-5386

Affiliations:
  • University of Science and Technology of China, Hefei, China


According to our database1, Tong Xu authored at least 225 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Adversarial Attack and Defense on Discrete Time Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., December, 2024

Large language models for generative information extraction: a survey.
Frontiers Comput. Sci., December, 2024

Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., October, 2024

InteractNet: Social Interaction Recognition for Semantic-rich Videos.
ACM Trans. Multim. Comput. Commun. Appl., August, 2024

TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model.
ACM Trans. Knowl. Discov. Data, August, 2024

Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., July, 2024

Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.
ACM Trans. Inf. Syst., July, 2024

Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements.
ACM Trans. Intell. Syst. Technol., June, 2024

When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Semantic Interaction Matching Network for Few-Shot Knowledge Graph Completion.
ACM Trans. Web, May, 2024

GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2024

Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

VIEA: A Visualization System for Industrial Economics Analysis Based on Trade Data.
IEEE Trans. Comput. Soc. Syst., April, 2024

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.
IEEE Trans. Comput. Soc. Syst., February, 2024

Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning.
IEEE Trans. Serv. Comput., 2024

Color Enhanced Cross Correlation Net for Image Sentiment Analysis.
IEEE Trans. Multim., 2024

SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition.
IEEE Trans. Image Process., 2024

Datastore Distillation for Nearest Neighbor Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition.
IEEE Trans. Affect. Comput., 2024

Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents.
CoRR, 2024

Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM.
CoRR, 2024

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation.
CoRR, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CoRR, 2024

From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition.
CoRR, 2024

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
CoRR, 2024

NoteLLM-2: Multimodal Large Representation Models for Recommendation.
CoRR, 2024

Knowledge Graph Pruning for Recommendation.
CoRR, 2024

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation.
CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.
CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR, 2024

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.
CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Large Language Model based Long-tail Query Rewriting in Taobao Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Collaboration-Aware Hybrid Learning for Knowledge Development Prediction.
Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Complex Question Answering via LLM Pseudo-Document and Adaptive Retrieval.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

H2LMER: A Cross Frame-Rate Representation Alignment Framework for Micro-expression Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Bridging Gaps in Content and Knowledge for Multimodal Entity Linking.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

When Box Meets Graph Neural Network in Tag-aware Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Are Mixture-of-Modality-Experts Transformers Robust to Missing Modality During Training and Inferring?
Proceedings of the Intelligent Information Processing XII, 2024

Knowledge-Enhanced Multi-perspective Incongruity Perception Network for Multimodal Sarcasm Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

In-Context Former: Lightning-fast Compressing Context for Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Modal Complementarity Based on Multimodal Large Language Model for Text-Based Person Retrieval.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Visualization Recommendation with Prompt-based Reprogramming of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Competition Analysis on Enterprise Ecosystems via Multiview Relational Hypergraph Embedding.
IEEE Trans. Comput. Soc. Syst., December, 2023

Entity Summarization via Exploiting Description Complementarity and Salience.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2023

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2023

Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng., June, 2023

Towards Automatic Job Description Generation With Capability-Aware Neural Networks.
IEEE Trans. Knowl. Data Eng., May, 2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Interaction-aware Drug Package Recommendation via Policy Gradient.
ACM Trans. Inf. Syst., January, 2023

Recent advances in domain-driven data mining.
Int. J. Data Sci. Anal., January, 2023

PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Explainable data transformation recommendation for automatic visualization.
Frontiers Inf. Technol. Electron. Eng., 2023

Large Language Models for Generative Information Extraction: A Survey.
CoRR, 2023

Woodpecker: Hallucination Correction for Multimodal Large Language Models.
CoRR, 2023

A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference.
CoRR, 2023

A Survey on Multimodal Large Language Models.
CoRR, 2023

AU-aware graph convolutional network for Macro- and Micro-expression spotting.
CoRR, 2023

More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates.
CoRR, 2023

Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STAN: Spatial-Temporal Awareness Network for Temporal Action Detection.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

CgT-GAN: CLIP-guided Text GAN for Image Captioning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Are GPT Embeddings Useful for Ads and Recommendation?
Proceedings of the Knowledge Science, Engineering and Management, 2023

Spatial Heterophily Aware Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Grained Multimodal Interaction Network for Entity Linking.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Temporal Relationship Inference in Urban Areas.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023

SGAT: Scene Graph Attention Network for Video Recommendation.
Proceedings of the 5th International Conference on Image, Video and Signal Processing, 2023

Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

AU-aware graph convolutional network for Macroand Micro-expression spotting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Social Context-aware GCN for Video Character Search via Scene-prior Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Federated Nearest Neighbor Machine Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Simple and Scalable Nearest Neighbor Machine Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning.
Proceedings of the Database Systems for Advanced Applications, 2023

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

How Can Contrastive Pre-training Benefit Audio-Visual Segmentation? A Study from Supervised and Zero-shot Perspectives.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

The Way to Success: A Multi-level Attentive Embedding Framework for Proposal Teamwork Analysis in Voting-Oriented System.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst., 2022

Social Context-aware Person Search in Videos via Multi-modal Cues.
ACM Trans. Inf. Syst., 2022

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control.
IEEE Trans. Mob. Comput., 2022

Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2022

Attention in Attention: Modeling Context Correlation for Efficient Video Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Understanding the Users and Videos by Mining a Novel Danmu Dataset.
IEEE Trans. Big Data, 2022

Residual objectness for imbalance reduction.
Pattern Recognit., 2022

ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition.
Neural Networks, 2022

Complex Attributed Network Embedding for medical complication prediction.
Knowl. Inf. Syst., 2022

Video emotion analysis enhanced by recognizing emotion in video comments.
Int. J. Data Sci. Anal., 2022

Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach.
CoRR, 2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoField: Automating Feature Selection in Deep Recommender Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU Constraint.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Low-Quality itDanMu Detection via Eye-Tracking Patterns.
Proceedings of the Knowledge Science, Engineering and Management, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdaFS: Adaptive Feature Selection in Deep Recommender System.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-modal Siamese Network for Entity Alignment.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Visual-Enhanced End-to-End Neural Diarization.
Proceedings of the IVSP 2022: 4th International Conference on Image, Video and Signal Processing, Singapore, March 18, 2022

Multi-Relational Graph Convolution Network for Stock Movement Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio.
Proceedings of the International Joint Conference on Neural Networks, 2022

Time-aware Neural Trip Planning Reinforced by Human Mobility.
Proceedings of the International Joint Conference on Neural Networks, 2022

AVT: Au-Assisted Visual Transformer for Facial Expression Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Non-Parametric Domain Adaptation for End-to-End Speech Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Multimodal Representation Learning-Based Product Matching.
Proceedings of the CCKS 2022 - Evaluation Track, 2022

Dialogue-enriched Knowledge Point Recommendation for Consultation Task.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification.
World Wide Web, 2021

Socializing the Videos: A Multimodal Approach for Social Relation Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Is Heuristic Sampling Necessary in Training Deep Object Detectors?
IEEE Trans. Image Process., 2021

Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Smartphone and web-based independent consultation and feedback for joint replacement surgeries: a randomized control trial protocol.
BMC Medical Informatics Decis. Mak., 2021

A two-stage 3D CNN based learning method for spontaneous micro-expression recognition.
Neurocomputing, 2021

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction.
CoRR, 2021

Adversarial Neural Trip Recommendation.
CoRR, 2021

Drug Package Recommendation via Interaction-aware Graph Induction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Urban Crowd Density Prediction Based on Multi-relational Graph.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TMC 2021: 2021 International Workshop on Talent and Management Computing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph.
Proceedings of the International Joint Conference on Neural Networks, 2021

Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Transportation Recommendation with Fairness Consideration.
Proceedings of the Database Systems for Advanced Applications, 2021

Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis.
Proceedings of the Database Systems for Advanced Applications, 2021

Knowledge Powered Cooperative Semantic Fusion for Patent Classification.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Knowledge-Enhanced Retrieval: A Scheme for Question Answering.
Proceedings of the CCKS 2021 - Evaluation Track, 2021

Out-of-Town Recommendation with Travel Intention Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Matching of social events and users: a two-way selection perspective.
World Wide Web, 2020

Maximum a Posteriori Estimation for Information Source Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.
ACM Trans. Inf. Syst., 2020

Character-Oriented Video Summarization With Visual and Textual Cues.
IEEE Trans. Multim., 2020

Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks.
IEEE Trans. Mob. Comput., 2020

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding.
IEEE Trans. Knowl. Data Eng., 2020

Product Supply Optimization for Crowdfunding Campaigns.
IEEE Trans. Big Data, 2020

Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation.
J. Comput. Sci. Technol., 2020

The Propagation Background in Social Networks: Simulating and Modeling.
Int. J. Autom. Comput., 2020

Adam revisited: a weighted past gradients perspective.
Frontiers Comput. Sci., 2020

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR, 2020

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation.
CoRR, 2020

CenterNet3D: An Anchor free Object Detector for Autonomous Driving.
CoRR, 2020

Large-Scale Talent Flow Embedding for Company Competitive Analysis.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Disentangled Graph Collaborative Filtering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Foreground-Background Imbalance Problem in Deep Object Detectors: A Review.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

MMEA: Entity Alignment for Multi-modal Knowledge Graph.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Competitive Analysis for Points of Interest.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Integrating Graph Contextualized Knowledge into Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Author Contributed Representation for Scholarly Network.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation.
IEEE Trans. Knowl. Data Eng., 2019

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR, 2019

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control.
CoRR, 2019

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View.
CoRR, 2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?
Proceedings of the World Wide Web Conference, 2019

Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Rumor Detection with Hierarchical Recurrent Convolutional Neural Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Trend-Aware Tensor Factorization for Job Skill Demand Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aftershock Detection with Multi-scale Description Based Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Regularizing Neural Machine Translation by Target-Bidirectional Agreement.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Radical-Aware Attention-Based Model for Chinese Text Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.
Inf. Sci., 2018

Study on Information Diffusion Analysis in Social Networks and Its Applications.
Int. J. Autom. Comput., 2018

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Maximizing the Effect of Information Adoption: A General Framework.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Joint Learning Approach to Intelligent Job Interview Assessment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Convolutional Neural Network-Based Invertible Half-Pixel Interpolation Filter for Video Coding.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction.
Proceedings of the IEEE International Conference on Data Mining, 2018

A United Approach to Learning Sparse Attributed Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Markov Chain Monte Carlo Approach for Source Detection in Networks.
Proceedings of the Social Media Processing - 6th National Conference, 2017

Solving link-oriented tasks in signed network via an embedding approach.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incorporating Spatio-Temporal Smoothness for Air Quality Inference.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst., 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse Factorization Machines for Click-through Rate Prediction.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Exploring the Choice Under Conflict for Social Event Participation.
Proceedings of the Database Systems for Advanced Applications, 2016

Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Exploring the Impact of Dynamic Mutual Influence on Social Event Participation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014
Learning to annotate via social interaction analytics.
Knowl. Inf. Syst., 2014

Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Random Walk with Pre-filtering for Social Link Prediction.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

2012
On Approximation of Real-World Influence Spread.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Towards Annotating Media Contents through Social Diffusion Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012


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