Weiping Wang

Orcid: 0000-0002-8618-4992

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (former)


According to our database1, Weiping Wang authored at least 313 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
LaAeb: A comprehensive log-text analysis based approach for insider threat detection.
Comput. Secur., 2025

2024
Central similarity consistency hashing for asymmetric image retrieval.
Comput. Vis. Media, August, 2024

Non-IID Federated Learning With Sharper Risk Bound.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Optimal Rates for Agnostic Distributed Learning.
IEEE Trans. Inf. Theory, April, 2024

Beyond Instance Discrimination: Relation-Aware Contrastive Self-Supervised Learning.
IEEE Trans. Multim., 2024

Toward Automated Field Semantics Inference for Binary Protocol Reverse Engineering.
IEEE Trans. Inf. Forensics Secur., 2024

Unbiased and augmentation-free self-supervised graph representation learning.
Pattern Recognit., 2024

Distilling mathematical reasoning capabilities into Small Language Models.
Neural Networks, 2024

Towards sharper excess risk bounds for differentially private pairwise learning.
Neurocomputing, 2024

RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining.
CoRR, 2024

Orthogonal Finetuning for Direct Preference Optimization.
CoRR, 2024

Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models.
CoRR, 2024

Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model.
CoRR, 2024

A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation.
CoRR, 2024

Think out Loud: Emotion Deducing Explanation in Dialogues.
CoRR, 2024

Previously on the Stories: Recap Snippet Identification for Story Reading.
CoRR, 2024

Are Large Language Models Table-based Fact-Checkers?
CoRR, 2024

Improving Small Language Models' Mathematical Reasoning via Equation-of-Thought Distillation.
CoRR, 2024

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning.
CoRR, 2024

Private Gradient Estimation is Useful for Generative Modeling.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Diversified Semantic Distribution Matching for Dataset Distillation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Flexible Evaluation for Generative Visual Question Answering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Exploiting Visual Relation and Multi-Grained Knowledge for Multimodal Relation Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2024

DANCE: Dual-View Distribution Alignment for Dataset Condensation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Privacy-Preserving Replay and Adaptive Relation Distillation for Camera Incremental Person Re-Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Exploiting Vision-Language Model for Visible-Infrared Person Re-identification via Textual Modality Alignment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

SD4Privacy: Exploiting Stable Diffusion for Protecting Facial Privacy.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Exploring Targeted Universal Adversarial Attack for Deep Hashing.
Proceedings of the IEEE International Conference on Acoustics, 2024

FUR-API: Dataset and Baselines Toward Realistic API Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Online Caching With Switching Cost and Operational Long-Term Constraints: An Online Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2024

GL-NER: Generation-Aware Large Language Models for Few-Shot Named Entity Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Towards One-to-Many Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Prediction Exposes Your Face: Black-Box Model Inversion via Prediction Alignment.
Proceedings of the Computer Vision - ECCV 2024, 2024

A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re- Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Are Large Language Models Table-based Fact-Checkers?
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Watch and Read! A Visual Relation-Aware and Textual Evidence Enhanced Model for Multimodal Relation Extraction.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

FTGraph: A Flexible Tree-Based Graph Store on Persistent Memory for Large-Scale Dynamic Graphs.
Proceedings of the IEEE International Conference on Cluster Computing, 2024

Multimodal Table Understanding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving Differentiable Architecture Search via self-distillation.
Neural Networks, October, 2023

Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm.
IEEE Trans. Knowl. Data Eng., September, 2023

Data Distribution for Heterogeneous Storage Systems.
IEEE Trans. Computers, June, 2023

Beyond OCR + VQA: Towards end-to-end reading and reasoning for robust and accurate textvqa.
Pattern Recognit., June, 2023

Semi-supervised vector-valued learning: Improved bounds and algorithms.
Pattern Recognit., June, 2023

Towards practical differential privacy in data analysis: Understanding the effect of epsilon on utility in private ERM.
Comput. Secur., May, 2023

Deep Uncoupled Discrete Hashing via Similarity Matrix Decomposition.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Coda: Runtime Detection of Application-Layer CPU-Exhaustion DoS Attacks in Containers.
IEEE Trans. Serv. Comput., 2023

Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting.
IEEE Trans. Inf. Forensics Secur., 2023

GuardBox: A High-Performance Middlebox Providing Confidentiality and Integrity for Packets.
IEEE Trans. Inf. Forensics Secur., 2023

Optimal Convergence Rates for Distributed Nystroem Approximation.
J. Mach. Learn. Res., 2023

Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs.
IACR Cryptol. ePrint Arch., 2023

IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition.
CoRR, 2023

Enhancing Empathetic and Emotion Support Dialogue Generation with Prophetic Commonsense Inference.
CoRR, 2023

A Survey on Model Compression for Large Language Models.
CoRR, 2023

Masked and Permuted Implicit Context Learning for Scene Text Recognition.
CoRR, 2023

Robust Neural Architecture Search.
CoRR, 2023

Operation-level Progressive Differentiable Architecture Search.
CoRR, 2023

UATVR: Uncertainty-Adaptive Text-Video Retrieval.
CoRR, 2023

Multi-source Machine Reading Comprehension with Meta-Learning and Adaptive Adversarial Training.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Decoupled Contrastive Learning for Long-Tailed Distribution.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Targeted Transferable Attack against Deep Hashing Retrieval.
Proceedings of the ACM Multimedia Asia 2023, 2023

Filling in the Blank: Rationale-Augmented Prompt Tuning for TextVQA.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Pseudo Object Replay and Mining for Incremental Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Handling Label Uncertainty for Camera Incremental Person Re-Identification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Perceiving Ambiguity and Semantics without Recognition: An Efficient and Effective Ambiguous Scene Text Detector.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Universal Domain Adaptive Network Embedding for Node Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MCRFF: A Meta-Contrastive Learning-Based RF Fingerprinting Method.
Proceedings of the IEEE Military Communications Conference, 2023

Schema Item Matters in Knowledge Base Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Sharper Risk Bounds for Agnostic Multi-objective Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

RAN: A Relation-aware Network for Relation Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2023

CACluster: A Clustering Approach for IoT Attack Activities Based on Contextual Analysis.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Optimal Convergence Rates for Agnostic Nyström Kernel Learning.
Proceedings of the International Conference on Machine Learning, 2023

ERPG: Enhancing Entity Representations with Prompt Guidance for Complex Named Entity Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Mask-Guided Stamp Erasure for Real Document Image.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

UATVR: Uncertainty-Adaptive Text-Video Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Streaming Processing.
Proceedings of the Computational Science - ICCS 2023, 2023

Data Heterogeneity Differential Privacy: From Theory to Algorithm.
Proceedings of the Computational Science - ICCS 2023, 2023

Towards Polymorphic Adversarial Examples Generation for Short Text.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Camera Prototype Learning for Intra-camera Supervised Person Re-identification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Chain-of-Thought Reasoning in Tabular Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Empirical Study of Instruction-tuning Large Language Models in Chinese.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BMIPN: A Biased Multi-Granularity Interaction Prototype Network for Few-Shot Relation Extraction.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Powering Fine-Tuning: Learning Compatible and Class-Sensitive Representations for Domain Adaption Few-shot Relation Extraction.
Proceedings of the Database Systems for Advanced Applications, 2023

Learning Pair-Centric Representation for Link Sign Prediction with Subgraph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DepotDB: Mitigate Write Amplification with Region Compaction on KV Stores for Periodic Write-Intensive Workloads.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Combo of Thinking and Observing for Outside-Knowledge VQA.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
RD-IOD: Two-Level Residual-Distillation-Based Triple-Network for Incremental Object Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Exploring Relations in Untrimmed Videos for Self-Supervised Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Deepfake Video Detection via Predictive Representation Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Uncertainty-Aware and Multigranularity Consistent Constrained Model for Semi-Supervised Hashing.
IEEE Trans. Circuits Syst. Video Technol., 2022

EmoMix+: An Approach of Depression Detection Based on Emotion Lexicon for Mobile Application.
Secur. Commun. Networks, 2022

Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification.
Pattern Recognit., 2022

Multi-View correlation distillation for incremental object detection.
Pattern Recognit., 2022

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning.
CoRR, 2022

Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering.
CoRR, 2022

Joint Plasticity Learning for Camera Incremental Person Re-Identification.
CoRR, 2022

Sharper Utility Bounds for Differentially Private Models.
CoRR, 2022

Stability and Generalization of Differentially Private Minimax Problems.
CoRR, 2022

Detecting DNS over HTTPS based data exfiltration.
Comput. Networks, 2022

Convolutional spectral kernel learning with generalization guarantees.
Artif. Intell., 2022

An Efficient Epsilon Selection Method for DP-ERM with Expected Accuracy Constraints.
Proceedings of the IEEE International Conference on Trust, 2022

TraceDroid: A Robust Network Traffic Analysis Framework for Privacy Leakage in Android Apps.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022

Non-IID Distributed Learning with Optimal Mixture Weights.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-granularity Evolution Network for Dynamic Link Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Efficient Hash Code Expansion by Recycling Old Bits.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

TextBlock: Towards Scene Text Spotting without Fine-grained Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Detach and Attach: Stylized Image Captioning without Paired Stylized Dataset.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Camera-specific Informative Data Augmentation Module for Unbalanced Person Re-identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MaMiCo: Macro-to-Micro Semantic Correspondence for Self-supervised Video Representation Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Graph Convolution Neural Network Based Method for Insider Threat Detection.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Automated Privacy Network Traffic Detection via Self-labeling and Learning.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

ActDetector: A Sequence-based Framework for Network Attack Activity Detection.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

LibHunter: An Unsupervised Approach for Third-party Library Detection without Prior Knowledge.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Clustering and Separating Similarities for Deep Unsupervised Hashing.
Proceedings of the IEEE International Conference on Acoustics, 2022

Connecting Targets via Latent Topics And Contrastive Learning: A Unified Framework For Robust Zero-Shot and Few-Shot Stance Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Cross-Target Stance Detection Via Refined Meta-Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Piecewise Hashing for Efficient Hamming Space Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2022

Video Motion Perception for Self-supervised Representation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Kernel Stability for Model Selection in Kernel-Based Algorithms.
IEEE Trans. Cybern., 2021

Addressing Extraction and Generation Separately: Keyphrase Prediction With Pre-Trained Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Sarcasm Detection with Commonsense Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

I/O characteristic discovery for storage system optimizations.
J. Parallel Distributed Comput., 2021

Video 3D Sampling for Self-supervised Representation Learning.
CoRR, 2021

Multi-View Correlation Distillation for Incremental Object Detection.
CoRR, 2021

Exploring Instance Relations for Unsupervised Feature Embedding.
CoRR, 2021

Differential Privacy for Pairwise Learning: Non-convex Analysis.
CoRR, 2021

Weighted distributed differential privacy ERM: Convex and non-convex.
Comput. Secur., 2021

Just Keep Your Concerns Private: Guaranteeing Heterogeneous Privacy and Achieving High Availability for ERM Algorithms.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Binary Neural Network Hashing for Image Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

An Intrusion Detection Framework for IoT Using Partial Domain Adaptation.
Proceedings of the Science of Cyber Security - Third International Conference, 2021

Federated Learning for Non-IID Data: From Theory to Algorithm.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Differentially Private Learning with Grouped Gradient Clipping.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Latent Pattern Sensing: Deepfake Video Detection via Predictive Representation Learning.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dense Semantic Contrast for Self-Supervised Visual Representation Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-Feature Graph Attention Network for Cross-Modal Video-Text Retrieval.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Heterogeneous Side Information-based Iterative Guidance Model for Recommendation.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

ECCH: Erasure Coded Consistent Hashing for Distributed Storage Systems.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Energy-saving CNN with Clustering Channel Pruning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Fast CNN Inference by Adaptive Sparse Matrix Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Automatic CNN Compression Based on Hyper-parameter Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

RCS: An Attributed Community Search Approach Based on Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Rescuing Deep Hashing from Dead Bits Problem.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Class-Transductive Intent Representations for Zero-shot Intent Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Density-Net: A Density-Aware Network for 3D Object Detection.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Distributed Nyström Kernel Learning with Communications.
Proceedings of the 38th International Conference on Machine Learning, 2021

What Matters: Attentive and Relational Feature Aggregation Network for Video-Text Retrieval.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Disturbance Consistent Self-Ensembling for Semi-Supervised Hashing.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Operation-level Progressive Differentiable Architecture Search.
Proceedings of the IEEE International Conference on Data Mining, 2021

Exemplar Guided Latent Pre-trained Dialogue Generation.
Proceedings of the Computational Science - ICCS 2021, 2021

SSFENet: Spatial and Semantic Feature Enhancement Network for Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

CSPN: Multi-Scale Cascade Spatial Pyramid Network for Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

FC<sup>2</sup>RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

Semi-supervised Graph Edge Convolutional Network for Anomaly Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

MMF: Multi-task Multi-structure Fusion for Hierarchical Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Combining Meta-path Instances into Layer-Wise Graphs for Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

HDQGF: Heterogeneous Data Quality Guarantee Framework Based on Deep Learning.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Check It Again: Progressive Visual Question Answering via Visual Entailment.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
A Highly Reliable Metadata Service for Large-Scale Distributed File Systems.
IEEE Trans. Parallel Distributed Syst., 2020

Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory.
IEEE Trans. Neural Networks Learn. Syst., 2020

PRS: A Pattern-Directed Replication Scheme for Heterogeneous Object-Based Storage.
IEEE Trans. Computers, 2020

Fast Cross-Validation for Kernel-Based Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation.
CoRR, 2020

Learning Disentangled Intent Representations for Zero-shot Intent Detection.
CoRR, 2020

Two-Level Residual Distillation based Triple Network for Incremental Object Detection.
CoRR, 2020

Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification.
CoRR, 2020

FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection.
CoRR, 2020

Neural Architecture Optimization with Graph VAE.
CoRR, 2020

Keyphrase Prediction With Pre-trained Language Model.
CoRR, 2020

Nearly Optimal Clustering Risk Bounds for Kernel K-Means.
CoRR, 2020

Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS.
CoRR, 2020

Convolutional Spectral Kernel Learning.
CoRR, 2020

Differentially Private ERM Based on Data Perturbation.
CoRR, 2020

Input Perturbation: A New Paradigm between Central and Local Differential Privacy.
CoRR, 2020

From When to Where: A Multi-task Learning Approach for Next Point-of-Interest Recommendation.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2020

Asymmetric Deep Hashing for Efficient Hash Code Compression.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Unsupervised Hybrid-similarity Hadamard Hashing.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Semantic-Alignment Hashing for Unsupervised Cross-Modal Retrieval.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Deep Discrete Attention Guided Hashing for Face Image Retrieval.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Reinforced Keyphrase Generation with BERT-based Sentence Scorer.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Parallel Variational Autoencoders for Multiple Responses Generation.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Gaussian Constrained Attention Network for Scene Text Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-Training for Domain Adaptive Scene Text Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Progressive Cluster Purification for Unsupervised Feature Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Adaptive Relation Discovery from Focusing Seeds on Large Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation.
Proceedings of the Computational Science - ICCS 2020, 2020

Hashing Based Prediction for Large-Scale Kernel Machine.
Proceedings of the Computational Science - ICCS 2020, 2020

Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Modeling the Incongruity Between Sentence Snippets for Sarcasm Detection.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Marginalized Graph Attention Hashing for Zero-Shot Image Retrieval.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Unsupervised Cross-Modal Retrieval by Coupled Dual Generative Adversarial Networks.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Automated Spectral Kernel Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Weighted Distributed Differential Privacy ERM: Convex and Non-convex.
CoRR, 2019

Learning Vector-valued Functions with Local Rademacher Complexity.
CoRR, 2019

Distributed Learning with Random Features.
CoRR, 2019

Efficient Cross-Validation for Semi-Supervised Learning.
CoRR, 2019

Discriminative Deep Attention-Aware Hashing for Face Image Retrieval.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Constrained Relation Network for Character Detection in Scene Images.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

BGElasor: Elastic-Scaling Framework for Distributed Streaming Processing with Deep Neural Network.
Proceedings of the Network and Parallel Computing, 2019

Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

A Robust Adversarial Reinforcement Framework for Reading Comprehension.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Multi-channel Neural Network for Imbalanced Emotion Recognition.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Multi-perspective Denoising Reader for Multi-paragraph Reading Comprehension.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Euler Recurrent Neural Network: Tracking the Input Contribution to Prediction on Sequential Data.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

EmoMix: Building an Emotion Lexicon for Compound Emotion Analysis.
Proceedings of the Computational Science - ICCS 2019, 2019

Asymmetric Deep Cross-modal Hashing.
Proceedings of the Computational Science - ICCS 2019, 2019

Rumor Detection on Social Media: A Multi-view Model Using Self-attention Mechanism.
Proceedings of the Computational Science - ICCS 2019, 2019

Meta-Graph Based Attention-Aware Recommendation over Heterogeneous Information Networks.
Proceedings of the Computational Science - ICCS 2019, 2019

Effective Self Attention Modeling for Aspect Based Sentiment Analysis.
Proceedings of the Computational Science - ICCS 2019, 2019

Ranking and Sampling in Open-Domain Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Incremental Hashing Network for Efficient Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RE-Store: Reliable and Efficient KV-Store with Erasure Coding and Replication.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

Generating Paraphrase with Topic as Prior Knowledge.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fast and Multilevel Semantic-Preserving Discrete Hashing.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Community Focusing: Yet Another Query-Dependent Community Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Max-Diversity Distributed Learning: Theory and Algorithms.
CoRR, 2018

Collaborating Aesthetic Change and Heterogeneous Information into Recommender Systems.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Robust and Index-Compatible Deep Hashing for Accurate and Fast Image Retrieval.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance.
Proceedings of the Network and Parallel Computing, 2018

Multi-Class Learning: From Theory to Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Cross-Validation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Leveraging Similar Reviews to Discover What Users Want.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Deep Index-Compatible Hashing for Fast Image Retrieval.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient Algorithms of Parallel Skyline Join over Data Streams.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Leveraging the Dynamic Changes from Items to Improve Recommendation.
Proceedings of the Conceptual Modeling - 37th International Conference, 2018

Event-Oriented Caching System for ROOT Data Analysis in HEP.
Proceedings of the Big Scientific Data Management, 2018

Learning Sentiment-Specific Word Embedding via Global Sentiment Representation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Atributed consistent hashing for heterogeneous storage systems.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
Building an Efficient Put-Intensive Key-Value Store with Skip-Tree.
IEEE Trans. Parallel Distributed Syst., 2017

Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Efficient Kernel Selection via Spectral Analysis.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Entity and Relation Embeddings for Knowledge Resolution.
Proceedings of the International Conference on Computational Science, 2017

Learning the Structures of Online Asynchronous Conversations.
Proceedings of the Database Systems for Advanced Applications, 2017

Infinite Kernel Learning: Generalization Bounds and Algorithms.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Generalization Analysis for Ranking Using Integral Operator.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Delta-Generalization: High Accuracy Data Release for Privacy Preserving.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Skyline Join Query Processing over Multiple Relations.
Proceedings of the Database Systems for Advanced Applications, 2016

Quantifying the Effect of Sentiment on Topic Evolution in Chinese Microblog.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
An approach of fast data manipulation in HDFS with supplementary mechanisms.
J. Supercomput., 2015

A Word Vector and Matrix Factorization Based Method for Opinion Lexicon Extraction.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Fast Multiway Maximum Margin Clustering Based on Genetic Algorithm via the NystrÖm Method.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling based NystrÖm Method.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

A virtual shared metadata storage for HDFS.
Proceedings of the 10th IEEE International Conference on Networking, 2015

MAMS: A Highly Reliable Policy for Metadata Service.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Skyline Query on Anti-correlated Distributions: From the Perspective of Spatial Index.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

LuBase: A Search-Efficient Hybrid Storage System for Massive Text Data.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Lotus: A framework for query optimization based on distributed cache.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Supervised Parameter Estimation Method of LDA.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Automated Power Control for Virtualized Infrastructures.
J. Comput. Sci. Technol., 2014

Continuous similarity join on data streams.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Highly reliable message-passing mechanism for cluster file system.
Int. J. Parallel Emergent Distributed Syst., 2013

OAMS: A Highly Reliable Metadata Service for Big Data Storage.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Determine the Hardware Choice to Improve HDFS Performance Deployed in a Commodity Cluster.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Zput: A speedy data uploading approach for the Hadoop Distributed File System.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
A Hardware-Based TCP Stream State Tracking and Reassembly Solution for 10G Backbone Traffic.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

TDWS: A Job Scheduling Algorithm Based on MapReduce.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

CHAC: An Effective Attribute Clustering Algorithm for Large-Scale Data Processing.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

A data locality optimization algorithm for large-scale data processing in Hadoop.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

Clover: A Distributed File System of Expandable Metadata Service Derived from HDFS.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2010
Innovative product design based on customer requirement weight calculation model.
Int. J. Autom. Comput., 2010

Integrating DBMSs as a Read-Only Execution Layer into Hadoop.
Proceedings of the 2010 International Conference on Parallel and Distributed Computing, 2010

Using Index in the MapReduce Framework.
Proceedings of the Advances in Web Technologies and Applications, 2010

2009
Group-by Query Process in Middleware of Large Scale Data Intensive Systems.
Proceedings of the International Conference on Networking, Architecture, and Storage, 2009

2008
Query Prediction in Large Scale Data Intensive Event Stream Analysis Systems.
Proceedings of the Seventh International Conference on Grid and Cooperative Computing, 2008

A microscopic view on community detection in complex networks.
Proceedings of the Second Ph.D. Workshop in CIKM, 2008


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