Cen Chen

Orcid: 0000-0003-0325-1705

Affiliations:
  • East China Normal University, China
  • Ant Group, China (2017-2021)
  • Singapore Management University, Singapore (2013-2017)


According to our database1, Cen Chen authored at least 137 papers between 2014 and 2025.

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Bibliography

2025
FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models.
CoRR, August, 2025

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models.
CoRR, August, 2025

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation.
CoRR, August, 2025

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook.
Int. J. Comput. Vis., July, 2025

Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models.
CoRR, May, 2025

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models.
CoRR, April, 2025

Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack.
ACM Trans. Knowl. Discov. Data, February, 2025

Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models.
CoRR, February, 2025

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models.
CoRR, February, 2025

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning.
CoRR, January, 2025

A Review and Experimental Evaluation on Split Learning.
Future Internet, 2025

Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions.
Proceedings of the ACM on Web Conference 2025, 2025

AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SLPerf: A Research Library and Benchmark Framework for Split Learning.
Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning.
IEEE Trans. Big Data, December, 2024

BapFL: You can Backdoor Personalized Federated Learning.
ACM Trans. Knowl. Discov. Data, August, 2024

Accelerating BERT inference with GPU-efficient exit prediction.
Frontiers Comput. Sci., June, 2024

Predicting stock market trends with self-supervised learning.
Neurocomputing, February, 2024

Federated Submodular Maximization With Differential Privacy.
IEEE Internet Things J., January, 2024

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction.
CoRR, 2024

EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts.
CoRR, 2024

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images.
CoRR, 2024

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning.
CoRR, 2024

DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report).
CoRR, 2024

Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Approximate Kernel Density Estimation under Metric-based Local Differential Privacy.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

UPFL: Unsupervised Personalized Federated Learning towards New Clients.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Sentiment Confidence Separation: A Trust-Optimized Framework for Multimodal Sentiment Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Privacy Evaluation Benchmarks for NLP Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Resizing codebook of vector quantization without retraining.
Multim. Syst., June, 2023

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier.
CoRR, 2023

Flatness-aware Adversarial Attack.
CoRR, 2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.
CoRR, 2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.
CoRR, 2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.
CoRR, 2023

You Can Backdoor Personalized Federated Learning.
CoRR, 2023

SLPerf: a Unified Framework for Benchmarking Split Learning.
CoRR, 2023

Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost.
Proceedings of the ACM Web Conference 2023, 2023

Communication Efficient Federated Learning via Channel-wise Dynamic Pruning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Robustness of Split Learning Against Adversarial Attacks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Robust Clustered Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

Online Efficient Secure Logistic Regression based on Function Secret Sharing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

A Customized Text Sanitization Mechanism with Differential Privacy.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
ACM Trans. Intell. Syst. Technol., 2022

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices.
IEEE Internet Things J., 2022

Enhanced gradient learning for deep neural networks.
IET Image Process., 2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning.
CoRR, 2022

MaskBlock: Transferable Adversarial Examples with Bayes Approach.
CoRR, 2022

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons.
CoRR, 2022

A Customised Text Privatisation Mechanism with Differential Privacy.
CoRR, 2022

Understanding Long Programming Languages with Structure-Aware Sparse Attention.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Backdoor Defense with Machine Unlearning.
Proceedings of the IEEE INFOCOM 2022, 2022

Iterative Contrastive Learning for Single Image Raindrop Removal.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.
Proceedings of the Database Systems for Advanced Applications, 2022

TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2022

Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning to Generalize in Heterogeneous Federated Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks.
IEEE Wirel. Commun., 2021

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2021

Practical and Light-weight Secure Aggregation for Federated Submodel Learning.
CoRR, 2021

Privacy Threats Analysis to Secure Federated Learning.
CoRR, 2021

Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Systematic Analysis of Circular Artifacts for Stylegan.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Privacy-Preserving Optimal Insulin Dosing Decision.
Proceedings of the IEEE International Conference on Acoustics, 2021

Weakly-Supervised Open-Retrieval Conversational Question Answering.
Proceedings of the Advances in Information Retrieval, 2021

CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension.
Proceedings of the Database Systems for Advanced Applications, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Reinforced History Backtracking for Conversational Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
CoRR, 2020

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations.
CoRR, 2020

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty.
CoRR, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020

A Theoretical Perspective on Differentially Private Federated Multi-task Learning.
CoRR, 2020

Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy.
CoRR, 2020

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning.
CoRR, 2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization.
CoRR, 2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
CoRR, 2020

ID Preserving Face Super-Resolution Generative Adversarial Networks.
IEEE Access, 2020

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Open-Retrieval Conversational Question Answering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation.
Proceedings of the IEEE International Conference on Image Processing, 2020

A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.
Proc. VLDB Endow., 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.
Proceedings of the World Wide Web Conference, 2019

Reinforcement Learning for User Intent Prediction in Customer Service Bots.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attentive History Selection for Conversational Question Answering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement.
ACM Trans. Intell. Syst. Technol., 2018

Review Helpfulness Prediction with Embedding-Gated CNN.
CoRR, 2018

A Local Online Learning Approach for Non-linear Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI).
CoRR, 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Aspect Extraction from Product Reviews Using Category Hierarchy Information.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Aspect-Based Helpfulness Prediction for Online Product Reviews.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015
Space-Time Aware Behavioral Topic Modeling for Microblog Posts.
IEEE Data Eng. Bull., 2015

Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Multi-agent orienteering problem with time-dependent capacity constraints.
Web Intell. Agent Syst., 2014

TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014


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