Hao Wang

Orcid: 0000-0003-1662-2480

Affiliations:
  • Alibaba, Beijing, China
  • Qihoo 360 Inc., Beijing, China (former)
  • Chinese Academy of Sciences, Institute of Software, Beijing, China (former)
  • University of Tokyo, Japan (PhD)


According to our database1, Hao Wang authored at least 105 papers between 2012 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Efficient locality-sensitive hashing over high-dimensional streaming data.
Neural Comput. Appl., February, 2023

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2023

Fine-Grained Video Retrieval With Scene Sketches.
IEEE Trans. Image Process., 2023

Federated Unlearning for On-Device Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AAsclepius: Monitoring, Diagnosing, and Detouring at the Internet Peering Edge.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches.
IEEE Trans. Vis. Comput. Graph., 2022

Federated Learning for Personalized Humor Recognition.
ACM Trans. Intell. Syst. Technol., 2022

SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition.
ACM Trans. Interact. Intell. Syst., 2022

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students.
CoRR, 2022

QCluster: Clustering Packets for Flow Scheduling.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Toward Knowledge-Enriched Conversational Recommendation Systems.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Learning Robust Feature Transformation for Domain Adaptation.
Pattern Recognit., 2021

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings.
CoRR, 2021

KECRS: Towards Knowledge-Enriched Conversational Recommendation System.
CoRR, 2021

Network Clustering for Multi-task Learning.
CoRR, 2021

Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning to Ask Appropriate Questions in Conversational Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MusicBERT: A Self-supervised Learning of Music Representation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Application of Artificial Intelligence in Libraries.
Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021

CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Keyword-Guided Neural Conversational Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst., 2020

Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020

Detecting thoracic diseases via representation learning with adaptive sampling.
Neurocomputing, 2020

QCluster: Clustering Packets for FlowScheduling.
CoRR, 2020

Deep Hierarchical Classification for Category Prediction in E-commerce System.
CoRR, 2020

Endowing Empathetic Dialogue Systems with Personas.
CoRR, 2020

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Contextualized Point-of-Interest Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Persona-Based Empathetic Conversational Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dynamic Heterogeneous Graph Embedding Using Hierarchical Attentions.
Proceedings of the Advances in Information Retrieval, 2020

Deep Multi-Interest Network for Click-through Rate Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
FID-sketch: an accurate sketch to store frequencies in data streams.
World Wide Web, 2019

Fine-grained probability counting for cardinality estimation of data streams.
World Wide Web, 2019

ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data.
ACM Trans. Intell. Syst. Technol., 2019

Semi-supervised domain adaptation via Fredholm integral based kernel methods.
Pattern Recognit., 2019

Optimal Delivery with Budget Constraint in E-Commerce Advertising.
CoRR, 2019

Optimal Delivery with Budget Constraint in E-Commerce Advertising.
Proceedings of the 2nd Workshop on Online Recommender Systems and User Modeling, 2019

Enhancing Collaborative Filtering with Generative Augmentation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Theory and Algorithms for Revenue Maximization in Sponsored Search.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Emotion Analysis for Personality Inference from EEG Signals.
IEEE Trans. Affect. Comput., 2018

Discriminative Dimensionality Reduction for Multi-Dimensional Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory.
Neural Comput., 2018

The Whole-Page Optimization via Dynamic Ad Allocation.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

How to Improve the Answering Effectiveness in Pay-for-Knowledge Community: An Exploratory Application of Intelligent QA System.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Redundancy-resistant Generative Hashing for Image Retrieval.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

ID Bloom Filter: Achieving Faster Multi-Set Membership Query in Network Applications.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Fine-Grained Probability Counting: Refined LogLog Algorithm.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation.
Proceedings of the Databases Theory and Applications, 2018

2017
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2017

Discriminative Transformation for Multi-Dimensional Temporal Sequences.
IEEE Trans. Image Process., 2017

ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data.
CoRR, 2017

Dual Based DSP Bidding Strategy and its Application.
CoRR, 2017

Crowdsourcing Argumentation Structures in Chinese Hotel Reviews.
CoRR, 2017

Reinforcement Learning Based Argument Component Detection.
CoRR, 2017

A cognition graph approach for insights generation from event sequences.
Clust. Comput., 2017

Leveraging weak segmentation for multi-object tracking system.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Joint RNN model for argument component boundary detection.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Crowdsourcing argumentation structures in Chinese hotel reviews.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

An Automatic Approach for Transit Advertising in Public Transportation Systems.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Using Argument-based Features to Predict and Analyse Review Helpfulness.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Time and Sentiment Unification Model for Personalized Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Adapting to User Interest Drift for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2016

A hybrid term-term relations analysis approach for topic detection.
Knowl. Based Syst., 2016

Graph-Based Metric Embedding for Next POI Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Discovering interpretable geo-social communities for user behavior prediction.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

EventPanorama: A Framework for Event Detection and Visualization from Online News.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

A Unified Framework for Fine-Grained Opinion Mining from Online Reviews.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Hierarchical Dynamic Parsing and Encoding for Action Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

Learning Graph-based POI Embedding for Location-based Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Argumentation-Based Multi-Agent Decision Making with Privacy Preserved.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Idea Discovery: A Context-Awareness Dynamic System Approach for Computational Creativity.
Proceedings of the Smart Modeling and Simulation for Complex Systems - Practice and Theory, 2015

LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Mining Opinion Words and Targets from Online Reviews in a Hybrid Framework.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

GenderPredictor: A Method to Predict Gender of Customers from E-commerce Website.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

RCFGED: Retrospective Coarse and Fine-Grained Event Detection from Online News.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

CiFDAL: A Graph Layout Algorithm to Enhance Human Cognition in Idea Discovery.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Transfer Feature Representation via Multiple Kernel Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
An improved ideagraph algorithm for discovering important rare events.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Human-centric computational knowledge environment for complex or ill-structured problem solving.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Joint Propagation and Refinement for Mining Opinion Words and Targets.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

A Bootstrapping Based Refinement Framework for Mining Opinion Words and Targets.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Cross-Domain Metric Learning Based on Information Theory.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
IdeaGraph: A Graph-Based Algorithm of Mining Latent Information for Human Cognition.
Proceedings of the IEEE International Conference on Systems, 2013

IdeaGraph Plus: A Topic-Based Algorithm for Perceiving Unnoticed Events.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Recommending Flickr groups with social topic model.
Inf. Retr., 2012


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