2025
Accurate Prediction of Multi-Dimensional Required Resources in 5G via Federated Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., March, 2025
Soft prompt tuning for augmenting dense retrieval with large language models.
Knowl. Based Syst., 2025
2024
Optical Flow as Spatial-Temporal Attention Learners.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 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
Error-driven Data-efficient Large Multimodal Model Tuning.
CoRR, 2024
CompCap: Improving Multimodal Large Language Models with Composite Captions.
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CoRR, 2024
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.
CoRR, 2024
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations.
CoRR, 2024
RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.
CoRR, 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.
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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
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.
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CoRR, 2024
Inertial Confinement Fusion Forecasting via LLMs.
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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
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
HYDRA: Model Factorization Framework for Black-Box LLM Personalization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Visual Fourier Prompt Tuning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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.
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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
A Clustering Algorithm for Connectivity in Cognitive Vehicular Network with Digital Twin.
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 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.
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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.
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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
Radiance Field Learners As UAV First-Person Viewers.
Proceedings of the Computer Vision - ECCV 2024, 2024
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.
Proceedings of the Computer Vision - ECCV 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.
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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.
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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.
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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.
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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