Qifan Wang

Orcid: 0000-0002-5304-7975

According to our database1, Qifan Wang authored at least 188 papers between 2010 and 2024.

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Bibliography

2024
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

MixingMask: A contour-aware approach for joint object detection and instance segmentation.
Pattern Recognit., 2024

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.
CoRR, 2024

M<sup>2</sup>PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
CoRR, 2024

Confidential Computing on Heterogeneous Systems: Survey and Implications.
CoRR, 2024

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding.
CoRR, 2024

Visual Agents as Fast and Slow Thinkers.
CoRR, 2024

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.
CoRR, 2024

Radiance Field Learners As UAV First-Person Viewers.
CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.
CoRR, 2024

Inertial Confinement Fusion Forecasting via LLMs.
CoRR, 2024

AMD: Automatic Multi-step Distillation of Large-scale Vision Models.
CoRR, 2024

Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations.
CoRR, 2024

InternalInspector I<sup>2</sup>: Robust Confidence Estimation in LLMs through Internal States.
CoRR, 2024

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.
CoRR, 2024

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks.
CoRR, 2024

HYDRA: Model Factorization Framework for Black-Box LLM Personalization.
CoRR, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.
CoRR, 2024

Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration.
CoRR, 2024

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.
CoRR, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.
CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.
CoRR, 2024

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.
CoRR, 2024

Large Language Models are Learnable Planners for Long-Term Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

FIRP: Faster LLM Inference via Future Intermediate Representation Prediction.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Efficient Transformer-based Edge Detector.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Prototypical Transformer As Unified Motion Learners.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Translation as Diffusion Visual Programmers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Representation Deficiency in Masked Language Modeling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Direct Multi-Turn Preference Optimization for Language Agents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

C-ICL: Contrastive In-context Learning for Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Minimal Distillation Schedule for Extreme Language Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Research on the Development Status of the Combination of Biology, Chemistry, Geology and Artificial Intelligence.
Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, 2024

Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ProMotion: Prototypes as Motion Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.
IEEE Trans. Big Data, December, 2023

<i>HT2ML</i>: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE.
Comput. Secur., December, 2023

Boosting adversarial robustness via self-paced adversarial training.
Neural Networks, October, 2023

CatGCN: Graph Convolutional Networks With Categorical Node Features.
IEEE Trans. Knowl. Data Eng., April, 2023

Interactive active learning for fairness with partial group label.
AI Open, January, 2023

DualGNN: Dual Graph Neural Network for Multimedia Recommendation.
IEEE Trans. Multim., 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.
Trans. Mach. Learn. Res., 2023

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration.
IEEE Trans. Circuits Syst. Video Technol., 2023

Liver CT Image Recognition Method Based on Capsule Network.
Inf., 2023

Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet.
Eng. Appl. Artif. Intell., 2023

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.
CoRR, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
CoRR, 2023

Federated Generalization via Information-Theoretic Distribution Diversification.
CoRR, 2023

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.
CoRR, 2023

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.
CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.
CoRR, 2023

ClusterFormer: Clustering As A Universal Visual Learner.
CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.
CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.
CoRR, 2023

Recommendation Unlearning via Influence Function.
CoRR, 2023

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning.
CoRR, 2023

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference.
CoRR, 2023

MMViT: Multiscale Multiview Vision Transformers.
CoRR, 2023

SVT: Supertoken Video Transformer for Efficient Video Understanding.
CoRR, 2023

Stochastic Clustered Federated Learning.
CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR, 2023

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.
Proceedings of the ACM Web Conference 2023, 2023

A Causal View for Item-level Effect of Recommendation on User Preference.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified 3D Segmenter As Prototypical Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ClusterFomer: Clustering As A Universal Visual Learner.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CryptoMask: Privacy-Preserving Face Recognition.
Proceedings of the Information and Communications Security - 25th International Conference, 2023

E<sup>2</sup>VPT: An Effective and Efficient Approach for Visual Prompt Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TransFlow: Transformer as Flow Learner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication.
Proceedings of the Annual Computer Security Applications Conference, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Disentangled Phonetic Representation for Chinese Spelling Correction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Video Captioning Using Global-Local Representation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci., 2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler.
CoRR, 2022

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.
CoRR, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
CoRR, 2022

Fall Detection from Audios with Audio Transformers.
CoRR, 2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression.
CoRR, 2022

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed <i>Solanum rostratum</i> Dunal seedlings.
Comput. Electron. Agric., 2022

Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds.
Comput. Electron. Agric., 2022

Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect.
Comput. Electron. Agric., 2022

Deep Partial Multiplex Network Embedding.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

WebFormer: The Web-page Transformer for Structure Information Extraction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MAVE: A Product Dataset for Multi-source Attribute Value Extraction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GL-RG: Global-Local Representation Granularity for Video Captioning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Federated Model Decomposition with Private Vocabulary for Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XPrompt: Exploring the Extreme of Prompt Tuning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.
Proceedings of the Computer Vision - ECCV 2022, 2022

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021
An image segmentation method based on deep learning for damage assessment of the invasive weed <i>Solanum rostratum</i> Dunal.
Comput. Electron. Agric., 2021

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Detecting Movement Timing from Primate Intracortical Signals for Brain-machine Interfaces in Dynamic Environment.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

AC Prediction Error Propagation-based Encryption for Texture Protection of JPEG Compressed Images.
Proceedings of the Picture Coding Symposium, 2021

Reinforcement of Neuropixels probes for high-density neural recording in non-human primates.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Serial Decoding of Macaque Intracortical Activity for Feedforward Control of Coherent Sequential Reach.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020
Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020

Big Bird: Transformers for Longer Sequences.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ETC: Encoding Long and Structured Inputs in Transformers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DUGRA: Dual-Graph Representation Learning for Health Information Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
A Consortium Blockchain-Based Model for Data Sharing in Internet of Vehicles.
Proceedings of the Smart City and Informatization - 7th International Conference, 2019

Constructing a Comprehensive Events Database from the Web.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Super-Resolution in Optical Coherence Tomography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

An Implementation of Brain-Machine Interface by Decoding Predictive Intracortical Signals toward a Moving Object<sup>*</sup>.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018

2017
Ribosome Profiling Reveals Genome-wide Cellular Translational Regulation upon Heat Stress in <i>Escherichia coli</i>.
Genom. Proteom. Bioinform., 2017

Research on Internet of Vehicles' Privacy Protection Based on Tamper-Proof with Ciphertext.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

Instance-Level Label Propagation with Multi-Instance Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
General, Nested, and Constrained Wiberg Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Elastic net regularized dictionary learning for image classification.
Multim. Tools Appl., 2016

Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

One-Class Maximum Margin Matrix Factorization.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

2015
Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search
PhD thesis, 2015

Latent Discriminative Models for Social Emotion Detection with Emotional Dependency.
ACM Trans. Inf. Syst., 2015

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Ranking Preserving Hashing for Fast Similarity Search.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning to Hash on Partial Multi-Modal Data.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Piecewise linear dimension reduction for nonnegative data.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2015, 2015

LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

Learning to Hash on Structured Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Applicability of Jus in Bello in Cyber Space: Dilemmas and Challenges.
Int. J. Cyber Warf. Terror., 2014

Cross-domain and cross-category emotion tagging for comments of online news.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Preference preserving hashing for efficient recommendation.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Active hashing with joint data example and tag selection.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval.
Proceedings of the Computer Vision - ECCV 2014, 2014

Binary Codes Embedding for Fast Image Tagging with Incomplete Labels.
Proceedings of the Computer Vision - ECCV 2014, 2014

Sparse Semantic Hashing for Efficient Large Scale Similarity Search.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Semantic hashing using tags and topic modeling.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Weighted hashing for fast large scale similarity search.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Learning compact hashing codes for efficient tag completion and prediction.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Query Expansion and Message-Passing Algorithms for TREC Microblog Track.
Proceedings of The Twentieth Text REtrieval Conference, 2011

A robust one-class bayesian approach for masquerade detection.
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010
A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences.
Proceedings of the Computer Vision, 2010


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