Bo Zhang

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, TNList, Beijing, China


According to our database1, Bo Zhang authored at least 274 papers between 1983 and 2024.

Collaborative distances:

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Bibliography

2024
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Toward the third generation artificial intelligence.
Sci. China Inf. Sci., February, 2023

Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising.
CoRR, 2023

Language-Driven Anchors for Zero-Shot Adversarial Robustness.
CoRR, 2023

A Collaborative Transfer Learning Framework for Cross-domain Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.
IEEE Trans. Mob. Comput., 2022

Triple Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness.
Neurocomputing, 2022

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
CoRR, 2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation.
CoRR, 2022

Research on the Impact of Interest Rate and Virtual Finance Reform on GDP Growth Based on Error Correction Model.
Adv. Multim., 2022

Fast Lossless Neural Compression with Integer-Only Discrete Flows.
Proceedings of the International Conference on Machine Learning, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
Proceedings of the International Conference on Machine Learning, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Adversarial Texture for Fooling Person Detectors in the Physical World.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning.
CoRR, 2021

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Reliable Visual Saliency For Model Explanations.
IEEE Trans. Multim., 2020

Interpret Neural Networks by Extracting Critical Subnetworks.
IEEE Trans. Image Process., 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.
CoRR, 2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning.
CoRR, 2020

Learning Implicit Generative Models by Teaching Density Estimators.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory.
Proceedings of the 37th International Conference on Machine Learning, 2020

To Relieve Your Headache of Training an MRF, Take AdVIL.
Proceedings of the 8th International Conference on Learning Representations, 2020

Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Pruning from Scratch.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dynamic Network Pruning with Interpretable Layerwise Channel Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Semantic Cluster Unary Loss for Efficient Deep Hashing.
IEEE Trans. Image Process., 2019

A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex.
PLoS Comput. Biol., 2019

DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures.
CoRR, 2019

Understanding and Stabilizing GANs' Training Dynamics with Control Theory.
CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.
CoRR, 2019

Adversarial Variational Inference and Learning in Markov Random Fields.
CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Joint Cluster Unary Loss for Efficient Cross-Modal Hashing.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Function Space Particle Optimization for Bayesian Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Pairwise Teacher-Student Network for Semi-Supervised Hashing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Learning Deep Generative Models With Doubly Stochastic Gradient MCMC.
IEEE Trans. Neural Networks Learn. Syst., 2018

Scalable Discrete Supervised Multimedia Hash Learning With Clustering.
IEEE Trans. Circuits Syst. Video Technol., 2018

Max-Margin Deep Generative Models for (Semi-)Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Visual instance mining from the graph perspective.
Multim. Syst., 2018

Deep Structured Generative Models.
CoRR, 2018

Learning Implicit Generative Models by Teaching Explicit Ones.
CoRR, 2018

Semi-crowdsourced Clustering with Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Graphical Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Message Passing Stein Variational Gradient Descent.
Proceedings of the 35th International Conference on Machine Learning, 2018

Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Interpret Neural Networks by Identifying Critical Data Routing Paths.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Textbook Question Answering Under Instructor Guidance With Memory Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Collaborative Filtering With User-Item Co-Autoregressive Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Towards Reversal-Invariant Image Representation.
Int. J. Comput. Vis., 2017

Fast sampling methods for Bayesian max-margin models.
Expert Syst. Appl., 2017

Triple Generative Adversarial Nets.
CoRR, 2017

SAM: Semantic Attribute Modulated Language Modeling.
CoRR, 2017

Saliency-GD: A TF-IDF Analogy for Landmark Image Mining.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Triple Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Forecast the Plausible Paths in Crowd Scenes.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Interpretability of Deep Neural Networks with Semantic Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers.
IEEE Trans. Evol. Comput., 2016

Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2016

BitHash: An efficient bitwise Locality Sensitive Hashing method with applications.
Knowl. Based Syst., 2016

Incorporating visual adjectives for image classification.
Neurocomputing, 2016

Collaborative Filtering with User-Item Co-Autoregressive Models.
CoRR, 2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Generate with Memory.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A representative-based framework for parsing and summarizing events in surveillance videos.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph.
Proceedings of the Computer Vision - ECCV 2016, 2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discriminative Deep Random Walk for Network Classification.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Jointly Modeling Topics and Intents with Global Order Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Comparison of ℓ<sub>1</sub>-Norm SVR and Sparse Coding Algorithms for Linear Regression.
IEEE Trans. Neural Networks Learn. Syst., 2015

Fine-Grained Image Search.
IEEE Trans. Multim., 2015

Partial-Duplicate Clustering and Visual Pattern Discovery on Web Scale Image Database.
IEEE Trans. Multim., 2015

Disease Inference from Health-Related Questions via Sparse Deep Learning.
IEEE Trans. Knowl. Data Eng., 2015

Heterogeneous Graph Propagation for Large-Scale Web Image Search.
IEEE Trans. Image Process., 2015

Angular-Similarity-Preserving Binary Signatures for Linear Subspaces.
IEEE Trans. Image Process., 2015

Discriminative Relational Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Fast Parallel SVM using Data Augmentation.
CoRR, 2015

Stochastic Subgradient MCMC Methods.
CoRR, 2015

Learning Deep Generative Models with Doubly Stochastic MCMC.
CoRR, 2015

Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Max-Margin Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Image Classification and Retrieval are ONE.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Interlinked Convolutional Neural Networks for Face Parsing.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Regularizing neural networks with adaptive local drop.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive Dropout Rates for Learning with Corrupted Features.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

RIDE: Reversal Invariant Descriptor Enhancement.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Scalable Visual Instance Mining with Instance Graph.
Proceedings of the British Machine Vision Conference 2015, 2015

Large Scale Sentiment Analysis with Locality Sensitive BitHash.
Proceedings of the Information Retrieval Technology, 2015

2014
Learning Harmonium Models With Infinite Latent Features.
IEEE Trans. Neural Networks Learn. Syst., 2014

Spatial Pooling of Heterogeneous Features for Image Classification.
IEEE Trans. Image Process., 2014

Batch-Orthogonal Locality-Sensitive Hashingfor Angular Similarity.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Gibbs max-margin topic models with data augmentation.
J. Mach. Learn. Res., 2014

Modeling response properties of V2 neurons using a hierarchical K-means model.
Neurocomputing, 2014

Fast and accurate near-duplicate image search with affinity propagation on the ImageWeb.
Comput. Vis. Image Underst., 2014

Distributed Bayesian Posterior Sampling via Moment Sharing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Max-Margin Infinite Hidden Markov Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Max-SIFT: Flipping invariant descriptors for Web logo search.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Orientational Pyramid Matching for Recognizing Indoor Scenes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Similarity-Preserving Binary Signature for Linear Subspaces.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Dropout Training for Support Vector Machines.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation.
IEEE Trans. Multim., 2013

Sparse online topic models.
Proceedings of the 22nd International World Wide Web Conference, 2013

Multi-granular Computing in Web Age.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Sparse Relational Topic Models for Document Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Scalable Inference for Logistic-Normal Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable inference in max-margin topic models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Generalized Relational Topic Models with Data Augmentation.
Proceedings of the IJCAI 2013, 2013

Restricted Boltzmann Machine with Adaptive Local Hidden Units.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms.
Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Max-Margin Matrix Factorization with Data Augmentation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Feature normalization for part-based image classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

Min-Max Hash for Jaccard Similarity.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Hierarchical Part Matching for Fine-Grained Visual Categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
A Real World Detection System - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection.
Proceedings of the VISAPP 2012, 2012

Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Super-Bit Locality-Sensitive Hashing.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Spatial pooling of heterogeneous features for image applications.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

A new challenge of information processing under the 21st century.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
A conversation with Professor Bo Zhang.
SIGKDD Explor., 2011

Perspectives on the Field of Cognitive Informatics and its Future Development.
Int. J. Cogn. Informatics Nat. Intell., 2011

The structural analysis of fuzzy measures.
Sci. China Inf. Sci., 2011

Learning Hierarchical Dictionary for Shape Patterns.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Learning complex image patterns with Scale and Shift Invariant Sparse Coding.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Design of recurrent neural networks for solving constrained least absolute deviation problems.
IEEE Trans. Neural Networks, 2010

A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning.
Neural Comput., 2010

Fuzzy tolerance quotient spaces and fuzzy subsets.
Sci. China Inf. Sci., 2010

TTHU-IMG at TRECVID 2010.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Fuzzy Measures and Granular Computing.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Learning Vocabulary-Based Hashing with AdaBoost.
Proceedings of the Advances in Multimedia Modeling, 2010

Robust semantic sketch based specific image retrieval.
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

An Update and Summary of Multi-granular Computing and Quotient Structure.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Perspectives on cognitive informatics and its future development: Summary of plenary panel II of IEEE ICCI'10.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

SISCHMAX: Discovering common contour patterns.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Statistical Web Object Extraction.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Multi-Granular Computing and Quotient Structure.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem.
IEEE Trans. Neural Networks, 2009

Query representation by structured concept threads with application to interactive video retrieval.
J. Vis. Commun. Image Represent., 2009

The theory and application of tolerance relations.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009

StatSnowball: a statistical approach to extracting entity relationships.
Proceedings of the 18th International Conference on World Wide Web, 2009

THU-IMG at TRECVID 2009.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Systems, 2009

Vocabulary-based hashing for image search.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Primal sparse Max-margin Markov networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Another Simple Recurrent Neural Network for Quadratic and Linear Programming.
Proceedings of the Advances in Neural Networks, 2009

A Machine Learning Technique to Detect and Predict Parkinson's Disease.
Proceedings of the 2009 International Conference on Image Processing, 2009

Multi-modal Information Retrieval for Content-based Medical Image and Video Data Mining.
Proceedings of the IMAGAPP 2009, 2009

The interactive video retrieval system in SMARTV 2009.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction.
J. Mach. Learn. Res., 2008


SemanGist: A Local Semantic Image Representation.
Proceedings of the Advances in Multimedia Information Processing, 2008

Partially Observed Maximum Entropy Discrimination Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities.
Proceedings of the Advances in Neural Networks, 2008

Multi-granular representation-the key to machine intelligence.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Laplace maximum margin Markov networks.
Proceedings of the Machine Learning, 2008

Semantic Concept Learning through Massive Internet Video Mining.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Granular Computing based on Fuzzy and Tolerance Relations.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Scene understanding with discriminative structured prediction.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Learning structured concept-segments for interactive video retrieval.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

Interactive video retrieval with rich features and friendly interface.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

2007
Statistically Robust Detection of Multiplicative Spread-Spectrum Watermarks.
IEEE Trans. Inf. Forensics Secur., 2007

A Formal Study of Shot Boundary Detection.
IEEE Trans. Circuits Syst. Video Technol., 2007

A novel QoS routing protocol for LEO and MEO satellite networks.
Int. J. Satell. Commun. Netw., 2007

A Theoretical Framework of Natural Computing - M Good Lattice Points (GLP) Method.
Proceedings of the Advances in Data and Web Management, 2007


Mapping Query to Semantic Concepts: Leveraging Semantic Indices for Automatic and Interactive Video Retrieval.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Multi-modal and Multi-granular Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Exploiting spatial context constraints for automatic image region annotation.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Gradual transition detection with conditional random fields.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

The importance of query-concept-mapping for automatic video retrieval.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Video diver: generic video indexing with diverse features.
Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Quotient Space Based Multi-granular Analysis.
Proceedings of the Knowledge Science, 2007

Webpage understanding: an integrated approach.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

On the Stability of SVR-based Nonlinear Autoregressive Dynamical Model.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Dynamic hierarchical Markov random fields and their application to web data extraction.
Proceedings of the Machine Learning, 2007

AHP: A New Strategy for the Semantic Concept Detection in Video.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

The feature and spatial covariant kernel: adding implicit spatial constraints to histogram.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

Video search in concept subspace: a text-like paradigm.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

Video retrieval with multi-modal features.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

Probabilistic model supported rank aggregation for the semantic concept detection in video.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2006
Quotient Space Based Cluster Analysis.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

Intelligent Multimedia Group of Tsinghua University at TRECVID 2006.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Hierarchical Machine Learning - A Learning Methodology Inspired by Human Intelligence.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Statistical Robustness in Multiplicative Watermark Detection.
Proceedings of the Advances in Multimedia Information Processing, 2006

Learning concepts from large scale imbalanced data sets using support cluster machines.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Simultaneous record detection and attribute labeling in web data extraction.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Visual Object Recognition in Diverse Scenes with Multiple Instance Learning.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Multiple-Instance Learning Via Random Walk.
Proceedings of the Machine Learning: ECML 2006, 2006

Using High-Level Semantic Features in Video Retrieval.
Proceedings of the Image and Video Retrieval, 5th International Conference, 2006

Relay Boost Fusion for Learning Rare Concepts in Multimedia.
Proceedings of the Image and Video Retrieval, 5th International Conference, 2006

Granular Analysis of Time Sequence Based on Quotient Space.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
A unified framework for image retrieval using keyword and visual features.
IEEE Trans. Image Process., 2005

A Quotient Space Approximation Model of Multiresolution Signal Analysis.
J. Comput. Sci. Technol., 2005

Fuzzy reasoning model under quotient space structure.
Inf. Sci., 2005

The structure analysis of fuzzy sets.
Int. J. Approx. Reason., 2005

Tsinghua University at TRECVID 2005.
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005

Graph Partition Model for Robust Temporal Data Segmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A unified shot boundary detection framework based on graph partition model.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Tracking concept drifting with an online-optimized incremental learning framework.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Robust Detection of Transform Domain Additive Watermarks.
Proceedings of the Digital Watermarking, 4th International Workshop, 2005

2D Conditional Random Fields for Web information extraction.
Proceedings of the Machine Learning, 2005

Two kinds of timing cues and their usage in concept detection in news video.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Perceptual Watermarking Using a Wavelet Visible Difference Predictor.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Quotient space based multi-granular computing.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

A new multiresolution classification model based on partitioning of feature space.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Temporal Shot Clustering Analysis for Video Concept Detection.
Proceedings of the Advances in Information Retrieval, 2005

AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004.
Proceedings of the Advances in Information Retrieval, 2005

2004
An efficient and effective region-based image retrieval framework.
IEEE Trans. Image Process., 2004

Relevance feedback in region-based image retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2004

The Quotient Space Theory of Problem Solving.
Fundam. Informaticae, 2004

Tsinghua University at TRECVID 2004: Shot Boundary Detection and High-Level Feature Extraction.
Proceedings of the 2004 TREC Video Retrieval Evaluation, 2004

Dynamic Feature Space Selection in Relevance Feedback Using Support Vector Machines.
Proceedings of the Pattern Recognition in Information Systems, 2004

An Online Learning Framework for Sports Video View Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

An online-optimized incremental learning framework for video semantic classification.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Improvements to Bennett?s Nearest Point Algorithm for Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2004

Keyword propagation for image retrieval.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Learning in Hidden Annotation-Based Image Retrieval.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Entropy-based active learning with support vector machines for content-based image retrieval.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval.
Proceedings of the Image and Video Retrieval: Third International Conference, 2004

2003
Alternating Feature Spaces in Relevance Feedback.
Multim. Tools Appl., 2003

Unsupervised image segmentation using local homogeneity analysis.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Nonlinear Speech Model Based on Support Vector Machine and Wavelet Transform.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Support vector machines for region-based image retrieval.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Learning in Region-Based Image Retrieval.
Proceedings of the Image and Video Retrieval, Second International Conference, 2003

2002
Relationship Between Support Vector Set and Kernel Functions in SVM.
J. Comput. Sci. Technol., 2002

A New Cache Replacement Algorithm in SMO.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

An effective region-based image retrieval framework.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

Region-based relevance feedback in image retrieval.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

A New Strategy for Selecting Working Sets Applied in SMO.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Gaussian mixture model for relevance feedback in image retrieval.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Learning region weighting from relevance feedback in image retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2002

Generation of Chinese prosodic phrasing rules by an extension matrix algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
FBCC: An Image Similarity Algorithm Based on Regions.
Proceedings of the Advances in Multimedia Information Processing, 2001

A Tree-Based Model of Prosodic Phrasing for Chinese Text-to-Speech Systems.
Proceedings of the Advances in Multimedia Information Processing, 2001

A New Prosodic Phrasing Model for Chinese TTS Systems.
Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Alternating feature spaces in relevance feedback.
Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval, Ottawa, ON, Canada, September 30, 2001

A novel region-based image retrieval method using relevance feedback.
Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval, Ottawa, ON, Canada, September 30, 2001

Training prosodic phrasing rules for Chinese TTS systems.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Support vector machine learning for image retrieval.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
A Neural Network Based Classifier for Handwritten Chinese Character Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
A geometrical representation of McCulloch-Pitts neural model and its applications.
IEEE Trans. Neural Networks, 1999

Neural Network Based Classifers for a Vast Amount of Data.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1996
Generating and coding of fractal graphs by neural network and mathematical morphology methods.
IEEE Trans. Neural Networks, 1996

1995
Programming based learning algorithms of neural networks with self-feedback connections.
IEEE Trans. Neural Networks, 1995

The complexity of learning in PLN networks.
Neural Networks, 1995

The generation of a sort of fractal graphs.
J. Comput. Sci. Technol., 1995

1994
Real-time collision-free path planning for robots in configuration space.
J. Comput. Sci. Technol., 1994

1993
The complexity of recognition in the single-layered PLN network with feedback connections.
J. Comput. Sci. Technol., 1993

On memory capacity of the Probabilistic Logic Neuron network.
J. Comput. Sci. Technol., 1993

1992
A quantitative analysis of the behaviors of the PLN network.
Neural Networks, 1992

1990
Hierarchy and statistical heuristic search.
Future Gener. Comput. Syst., 1990

1989
Motion Planning of Multi-Joint Robotic Arm with Topological Dimension Reduction Method.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1985
A New Heuristic Search Technique-Algorithm SA.
IEEE Trans. Pattern Anal. Mach. Intell., 1985

A Weighted Technique in Heuristic Search.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984
Planning Collision-Free Paths for Robotic Arm Among Obstacles.
IEEE Trans. Pattern Anal. Mach. Intell., 1984

The Successive SA<sup>*</sup> Search and its Computational Complexity.
Proceedings of the Advances in Artificial Intelligence, 1984

1983
The Statistical Inference Method in Heuristic Search Techniques.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983


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