Shikun Zhang

Orcid: 0000-0002-4595-4807

According to our database1, Shikun Zhang authored at least 156 papers between 2002 and 2024.

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Bibliography

2024
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval.
IEEE Trans. Knowl. Data Eng., December, 2024

Emerging applications of measurement-based quantum computing.
Quantum Inf. Process., December, 2024

MAC: Maximal Cliques for 3D Registration.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.
IEEE Trans. Knowl. Data Eng., April, 2024

Leveraging Imitation Learning on Pose Regulation Problem of a Robotic Fish.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis., January, 2024

Closed-loop designed open-loop control of quantum systems: An error analysis.
J. Frankl. Inst., 2024

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types.
CoRR, 2024

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation.
CoRR, 2024

A Survey on Evaluating Large Language Models in Code Generation Tasks.
CoRR, 2024

MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model.
CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
CoRR, 2024

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.
CoRR, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.
CoRR, 2024

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling.
CoRR, 2024

Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy.
CoRR, 2024

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
CoRR, 2024

CodeShell Technical Report.
CoRR, 2024

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
CoRR, 2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.
CoRR, 2024

SWAT4J: Generating System Call Allowlist for Java Container Attack Surface Reduction.
Proceedings of the IEEE International Conference on Software Analysis, 2024

ALANCA: Active Learning Guided Adversarial Attacks for Code Comprehension on Diverse Pre-trained and Large Language Models.
Proceedings of the IEEE International Conference on Software Analysis, 2024

iHunter: Hunting Privacy Violations at Scale in the Software Supply Chain on iOS.
Proceedings of the 33rd USENIX Security Symposium, 2024

Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants.
Proceedings of the 33rd USENIX Security Symposium, 2024

Exploring Expandable-Grid Designs to Make iOS App Privacy Labels More Usable.
Proceedings of the Twentieth Symposium on Usable Privacy and Security, 2024

Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Boosting Model Resilience via Implicit Adversarial Data Augmentation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Hallucination Augmented Contrastive Learning for Multimodal Large Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing In-Context Learning via Implicit Demonstration Augmentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

What Makes a Good Order of Examples in In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Attraction domain analysis for steady states of Markovian open quantum systems.
Autom., November, 2023

Sampling locally, hypothesis globally: accurate 3D point cloud registration with a RANSAC variant.
Vis. Intell., 2023

Toward Effective Domain Adaptive Retrieval.
IEEE Trans. Image Process., 2023

MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs.
EAI Endorsed Trans. Scalable Inf. Syst., 2023

When Parameter-efficient Tuning Meets General-purpose Vision-language Models.
CoRR, 2023

EmoGen: Eliminating Subjective Bias in Emotional Music Generation.
CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR, 2023

GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.
CoRR, 2023

Mode Approximation Makes Good Multimodal Prompts.
CoRR, 2023

Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
CoRR, 2023

Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness.
CoRR, 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.
Proceedings of the ACM Web Conference 2023, 2023

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Assessing and Improving Dataset and Evaluation Methodology in Deep Learning for Code Clone Detection.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hierarchical Prior Mining for Non-local Multi-View Stereo.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SDRNet: Shape Decoupled Regression Network for 3d face Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2023

MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

3D Registration with Maximal Cliques.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Knowledge Graph Completion with Generative Hard Negative Mining.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploiting Pseudo Image Captions for Multimodal Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Sequence Generation with Label Augmentation for Relation Extraction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
From Simulation to Reality: A Learning Framework for Fish-Like Robots to Perform Control Tasks.
IEEE Trans. Robotics, 2022

TencentCLS: The Cloud Log Service with High Query Performances.
Proc. VLDB Endow., 2022

How Usable Are iOS App Privacy Labels?
Proc. Priv. Enhancing Technol., 2022

Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision.
CoRR, 2022

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HEART: Towards Effective Hash Codes under Label Noise.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Low-Resources Project-Specific Code Summarization.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Exploring Occlusion-Sensitive Deep Network for Single-View 3D Face Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Label Smoothing for Text Mining.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Frequency-Aware Contrastive Learning for Neural Machine Translation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
"Did you know this camera tracks your mood?": Understanding Privacy Expectations and Preferences in the Age of Video Analytics.
Proc. Priv. Enhancing Technol., 2021

A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data.
CoRR, 2021

Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting.
CoRR, 2021

Facial Recognition: Understanding Privacy Concerns and Attitudes Across Increasingly Diverse Deployment Scenarios.
Proceedings of the Seventeenth Symposium on Usable Privacy and Security, 2021

Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-Hop Transformer for Document-Level Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Improving Event Detection by Exploiting Label Hierarchy.
Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Embedding-based Large-scale Retrieval via Label Enhancement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Keyword-Aware Encoder for Abstractive Text Summarization.
Proceedings of the Database Systems for Advanced Applications, 2021

Cross-document Event Identity via Dense Annotation.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Research on Bootstrapping Algorithm for Health Insurance Data Fraud Detection Based on Decision Tree.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Unsupervised Out-of-Domain Detection via Pre-trained Transformers.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-view Inference for Relation Extraction with Uncertain Knowledge.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Best of Both Worlds: Mitigating Trade-offs Between Accuracy and User Burden in Capturing Mobile App Privacy Preferences.
Proc. Priv. Enhancing Technol., 2020

ADHD fMRI short-time analysis method for edge computing based on multi-instance learning.
J. Syst. Archit., 2020

Deep feature learning with attributes for cross-modality person re-identification.
J. Electronic Imaging, 2020

Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sliding Hierarchical Recurrent Neural Networks for Sequence Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Data-Centric Framework for Composable NLP Workflows.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework.
Proceedings of the Computer Vision - ECCV 2020, 2020

Leveraging Human Prior Knowledge to Learn Sense Representations.
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

Graph Enhanced Dual Attention Network for Document-Level Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Solving the Dependency Conflict of Java Components: A Comparative Empirical Analysis.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Access Control Vulnerabilities Detection for Web Application Components.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Deep Dynamic Boosted Forest.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
J. Digit. Imaging, 2019

Subspace Stabilization Analysis for Non-Markovian Open Quantum Systems.
CoRR, 2019

DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Why people (don't) use password managers effectively.
Proceedings of the Fifteenth Symposium on Usable Privacy and Security, 2019

Research on Personalized Recommendation Technology Based on Collaborative Filtering.
Proceedings of the IEEE International Conference on Smart Cloud, 2019

Android App Merging for Benchmark Speed-Up and Analysis Lift-Up.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2019

A Hybrid Character Representation for Chinese Event Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

"It Only Tells Me How I Slept, Not How to Fix It": Exploring Sleep Behaviors and Opportunities for Sleep Technology.
Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.
Proceedings of the IEEE International Conference on Acoustics, 2019

Capturing source code semantics via tree-based convolution over API-enhanced AST.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Turtles, Locks, and Bathrooms: Understanding Mental Models of Privacy Through Illustration.
Proc. Priv. Enhancing Technol., 2018

An Ensemble Approach for Detecting Anomalous User Behaviors.
Int. J. Softw. Eng. Knowl. Eng., 2018

A Dynamic Boosted Ensemble Learning Method Based on Random Forest.
CoRR, 2018

Method and System for Detecting Anomalous User Behaviors: An Ensemble Approach.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

CoBOT: static C/C++ bug detection in the presence of incomplete code.
Proceedings of the 26th Conference on Program Comprehension, 2018

Refining Traceability Links Between Vulnerability and Software Component in a Vulnerability Knowledge Graph.
Proceedings of the Web Engineering - 18th International Conference, 2018

Attention Enhanced Chinese Word Embeddings.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Runtime Resource Management for Microservices-Based Applications: A Congestion Game Approach (Short Paper).
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

The Cramér-InfoGAN and Partial Inverse Filter System for Unsupervised Image Classification.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
Towards Privacy-Aware Smart Buildings: Capturing, Communicating, and Enforcing Privacy Policies and Preferences.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

2016
Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions.
Proceedings of the Twelfth Symposium on Usable Privacy and Security, 2016

Unsupervised Text Recap Extraction for TV Series.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Towards a Deployment System for Cloud Applications.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

Practical null pointer dereference detection via value-dependence analysis.
Proceedings of the 2015 IEEE International Symposium on Software Reliability Engineering Workshops, 2015

2014
Dual Subtitles as Parallel Corpora.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
A Lightweight Process Mashup Approach Based on Business Unit.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

An Improved Ants Colony Algorithm for NP-hard Problem of Travelling Salesman.
Proceedings of the Pervasive Computing and the Networked World, 2013

2012
A Data Collaboration Model for Collaborative Design Based on C-Net.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

Material Hub: A Semantic Search Engine with Rule Reasoning.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012

BuOA: An Achitecture Style for Modular Web Applications.
Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2011
A Novel Method for Formally Detecting RFID Event Using Petri Nets.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

Data Uncertainty Model for Mashup.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

2009
Formal Definition and Detection Algorithm for Passive Event in RFID Middleware.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

Towards Lightweight Application Integration Based on Mashup.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

Research on Hierarchical P2P Based RFID Code Resolution Network and Its Security.
Proceedings of the Fourth International Conference on Frontier of Computer Science and Technology, 2009

Towards Passive RFID Event.
Proceedings of the 33rd Annual IEEE International Computer Software and Applications Conference, 2009

2008
Modeling and Analysis of WS-BPEL Business Processes Based on ServiceNet.
Proceedings of the 15th Asia-Pacific Software Engineering Conference (APSEC 2008), 2008

2007
A Three-Layer Model for Business Processes - Process Logic, Case Semantics and Workflow Management.
J. Comput. Sci. Technol., 2007

A New Approach for Workflow Process Delta Analysis Based on SYN-NET.
Proceedings of the ICEIS 2007, 2007

2006
A Workflow Process Mining Algorithm Based on Synchro-Net.
J. Comput. Sci. Technol., 2006

2005
Correctness Verification of synchronization based workflow model.
Proceedings of the 2005 IEEE International Conference on e-Business Engineering (ICEBE 2005), 2005

2002
Hierarchical message bus-based software architectural style.
Sci. China Ser. F Inf. Sci., 2002


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