发表

2024

• Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness, NeurIPS 2024 (CCF-A).
  Mingyuan Fan, Xiaodan Li, Cen Chen*, Wenmeng Zhou, Yaliang Li
• Privacy Evaluation Benchmarks for NLP Models, EMNLP Findings 2024 (CCF-B).
  Wei Huang, Yinggui Wang, Cen Chen
• FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization, ICPADS 2024.
  Qianyi Zhao, Chen Qu, Cen Chen*, Mingyuan Fan, Yanhao Wang
• FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning, BIBM 2024 (CCF-B).
  Xinyv Li, Cen Chen*, and Jamie Cui
• LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts, CIKM 2024 (CCF-B).
  Guanghao Zhou, Panjia Qiu, Mingyan Fan, Cen Chen*, Yaliang Li and Wenmeng Zhou
• SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning, CIKM 2024 (CCF-B).
  Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen*, Yaliang Li and Wenming Zhou
• Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack, TKDD 2024 (CCF-B, SCI I区).
  Mingyuan Fan, Cen Chen*, Chengyu Wang, Jun Huang
• PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud, ACL 2024 (CCF-A).
  Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
• DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis, ECML PKDD (CCF-B).
  Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen*, Ziheng Wu, Weining Qian, Jun Huang
• DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows, KDD 2024 (CCF-A).
  Yiping Wang, Yanhao Wang, Cen Chen
• Approximate Kernel Density Estimation under Metric-based Local Differential Privacy, UAI 2024 (CCF-B).
  Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, Cen Chen
• Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models, IJCAI 2024 (CCF-A).
  Zhongjie Duan, Chengyu Wang, Cen Chen*, Weining Qian, Jun Huang
• TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences, COLING 2024 (CCF-B).
  Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen*, Yinggui Wang
• BapFL: You can Backdoor Personalized Federated Learning, TKDD 2024 (CCF-B, SCI I区).
  Tiandi Ye, Cen Chen*, Yinggui Wang, Xiang Li, Ming Gao
• DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion, SDM 2024 (CCF-B).
  Zhenzhen Chu, Jiayu Chen, Cen Chen*, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
• UPFL: Unsupervised Personalized Federated Learning towards New Clients, SDM 2024 (CCF-B).
  Tiandi Ye, Cen Chen*, Yinggui Wang, Xiang Li, Ming Gao
• Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning, WSDM 2024 (CCF-B).
  Mingyuan Fan, Yang Liu, Cen Chen*, Chengyu Wang, Minghui Qiu, Wenmeng Zhou
• Federated Submodular Maximization with Differential Privacy, IEEE Internet of Things Journal (SCI I区).
  Yanhao Wang, Tianchen Zhou, Cen Chen*, and Yinggui Wang
• Accelerating BERT inference with GPU-efficient exit prediction, Frontiers of Computer Science (SCI, CCF-B).
  Lei Li, Chengyu Wang, Minghui Qui, Cen Chen*, Ming Gao, and Aoying Zhou

2023

• Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding, EMNLP 2023 (CCF-B).
  Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen*, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
• DocAsRef: A Pilot Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics, Findings of EMNLP 2023 (CCF-B).
  Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, and Cen Chen
• Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models, CIKM 2023 (CCF-B).
  Zhongjie Duan, Chengyu Wang, Cen Chen*, Jun Huang, and Weining Qian
• Online Efficient Secure Logistic Regression based on Function Secret Sharing, CIKM 2023 (CCF-B).
  Jing Liu, Jamie Cui, and Cen Chen*
• Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning, CIKM 2023 (CCF-B).
  Zhenzhen Chu, Chengyu Wang, Cen Chen*, Yuqi Liang, Dawei Cheng, and Weining Qian
• On the Robustness of Split Learning against Adversarial Attacks, ECAI 2023 (CCF-B).
  Mingyuan Fan, Cen Chen*, Chengyu Wang, Wenmeng Zhou, and Jun Huang
• SLPerf: a Unified Framework for Benchmarking Split Learning, FL-IJCAI 2023.
  Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, and Cen Chen*
• Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed, ACL 2023 (CCF-A).
  Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Wu Ziheng, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, and Jun Huang
• Customized Text Sanitization Mechanism with Differential Privacy, Findings of ACL 2023 (CCF-A).
  Huimin Chen, Fengran Mo, Yanhao Wang, Cen Chen*, Jian-Yun Nie, Chengyu Wang, and Jamie Cui
• XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding, Findings of ACL 2023 (CCF-A).
  Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen*, and Weining Qian
• ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization, KSME 2023.
  Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen*, Ming Gao, and Weining Qian
• Resizing Codebook of Vector Quantization Without Retraining, Multimedia Systems (SCI).
  Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen*, Ming Gao, and Aoying Zhou
• Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost, WWW 2023 (CCF-A).
  Zhongjie Duan, Chengyu Wang, Cen Chen*, Wenmeng Zhou, Jun Huang, and Weining Qian
• Robust Clustered Federated Learning, DASFAA 2023 (CCF-B).
  Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen*, Yingnan Fu, and Ming Gao
• Communication Efficient Federated Learning via Channel-wise Dynamic Pruning, IEEE WCNC 2023.
  Bo Tao, Cen Chen*, and Huimin Chen

2022

• A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling, NAACL 2022 (CCF-B).
  Forrest Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, and Cen Chen
• Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading, CIKM 2022 (CCF-B).
  Zhongjie Duan, Cen Chen*, Dawei Cheng, Yuqi Liang, and Weining Qian
• Learning to Generalize in Heterogeneous Federated Networks, CIKM 2022 (CCF-B).
  Cen Chen, Tiandi Ye, Li Wang, and Ming Gao
• FedFAIM: A Model Performance-based Fair Incentive Mechanism for Federated Learning, Transactions on Big Data (SCI).
  Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, and Xiang-Yang Li
• Understanding Long Programming Languages with Structure-Aware Sparse Attention, SIGIR 2022 (CCF-A).
  Tingting Liu, Chengyu Wang, Cen Chen*, Ming Gao, and Aoying Zhou
• Combating False Sense of Security: Breaking the Defense of Adversarial Training via Non-Gradient Adversarial Attack, ICASSP 2022 (CCF-B).
  Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, and Ximeng Liu
• TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning, DASFAA 2022 (CCF-B).
  Moming Tang, Dawei Cheng, Cen Chen*, Yuqi Liang, Yifeng Luo, and Weining Qian
• Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination, DASFAA 2022 (CCF-B).
  Ruyao Xu, Dawei Cheng, Cen Chen*, Siqiang Luo, Yifeng Luo, and Weining Qian
• Towards Evaluating the Reliability of Deep Neural Networks based IoT Devices, IEEE Internet of Things Journal (SCI I区).
  Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, and Ximeng Liu
• Backdoor Defense with Machine Unlearning, INFOCOM 2022 (CCF-A).
  Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, and Jianfeng Ma
• Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design, ACM TIST 2022.
  Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, and Jianwei Yin

2021

• Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations, CIKM 2021 (CCF-B).
  Haojie Pan, Cen Chen* and et al.
• EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications, CIKM 2021 (CCF-B).
  Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin
• Weakly-Supervised Open-Retrieval Conversational Question Answering, ECIR 2021.
  Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer
• Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems, WWW 2021 (CCF-A).
  Cen Chen, Chengyu Wang, and et al.
• Privacy-preserving Optimal Insulin Dosing Decision, ICASSP 2021 (CCF-B).
  Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang
• Reinforced History Backtracking for Conversational Question Answering, AAAI 2021 (CCF-A).
  Minghui Qiu, Xinjing Huang, Cen Chen* and et al.
• CAT-BERT: A Context-Aware Transferable BERT Model for Multi-Turn MRC, DASFAA 2021 (CCF-B).
  Cen Chen and et al.

2020

• Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial (Demo), CIKM 2020 (CCF-B).
  Cen Chen, Bingzhe Wu and et al.
• aDMSCN: an Novel Perspective for User Intent Prediction in Customer Service Bots, CIKM 2020 (CCF-B).
  Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen and et al.
• Nebula: an Industrial-purpose Privacy-preserving Machine Learning System, S&P 2020 Poster (CCF-A).
  Bingzhe Wu, Cen Chen and et al.
• Open-Retrieval Conversational Question Answering, SIGIR 2020 (CCF-A).
  Chen Qu, Liu Yang, Cen Chen and et al.
• AutoTransNet: Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching (Poster), WWW 2020 (CCF-A).
  Cen Chen, Ya-lin Zhang and et al.
• IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems, WWW 2020 (CCF-A).
  Liu Yang, Minghui Qiu, Chen Qu, Cen Chen and et al.
• Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics, AAAI 2020 (CCF-A).
  B Wu, C Chen, S Zhao, Cen Chen, and et al.

2019

• InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance, IEEE Big Data 2019.
  Cen Chen, Chen Liang and et al.
• Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search, The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019, CCF-B).
  Minghui Qiu, Bo Wang, Cen Chen and et al.
• Attentive History Selection for Conversational Question Answering, The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019, CCF-B).
  Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft and Mohit Iyyer
• Multi-domain Attention Network with Wasserstein Regularizers for E-commerce Search, 28th International Joint Conference on Artificial Intelligence (IJCAI-2019 Workshop).
  Minghui Qiu, Bo Wang, Cen Chen and et al.
• AntProphet: an Intention Mining System behind Alipay’s Intelligent Customer Service Bot. 28th International Joint Conference on Artificial Intelligence (IJCAI-2019 Demo).
  Cen Chen and et al.
• TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. 45th International Conference on Very Large Data Bases (VLDB-2019, CCF-A).
  Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Alan Qi
• Reinforcement Learning for User Intent Prediction in Customer Service Bots. The 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR-2019, CCF-A), Paris, France, July.
  Cen Chen and et al.
• Multi-Domain Gated CNN for Review Helpfulness Prediction. The World Wide Web Conference (WWW-2019, CCF-A), San Francisco, USA, May.
  Cen Chen and et al.

2018

• Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2018), USA, Jun.
  Cen Chen, Yinfei Yang, Jun Zhou, Forrest Sheng Bao and Xiaolong Li
• A Local Online Learning Approach for Non-linear Data. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2018), Australia.
  XinXing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen

2017

• Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Transactions on Intelligent Systems and Technology (TIST-2017), 2017.
  Shih-fen Cheng, Cen Chen*, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh
• Tackling Large-scale Home Health Care Delivery Problem with Uncertainty. International Conference on Automated Planning and Scheduling (ICAPS-2017, CCF-B), Pittsburgh, USA, June 2017.
  Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, and Hoong Chuin Lau
• Recommending Personalized Schedules in Urban Environments, International Conference on Automated Planning and Scheduling (ICAPS-2017, CCF-B) Doctoral Consortium, Pittsburgh, USA, June 2017.
  Cen Chen
• Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems (Poster), 26th International World Wide Web Conference (WWW-2017, CCF-A), Perth, April 2017.
  Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou and et al.
• Achieving Near-optimal Solutions for Large-scale Home Health Care Scheduling Problem. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017) Workshop on AI and OR for Social Good, San Francisco, February 2017.
  Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau
• Aspect Extraction from Product Reviews Using Category Hierarchy Information (Short), European Chapter of the Association for Computational Linguistics (EACL-2017), Valencia, April 2017.
  Yinfei Yang, Cen Chen and et al.

2016

• Aspect-Based Helpfulness Prediction for Online Product Reviews, 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2016), San Jose, 2016.
  Yinfei Yang, Cen Chen, and Forrest S. Bao
• An Experimental Investigation of Product Competition and Marketing in Social Networks, The 10th China Summer Workshop on Information Management (CSWIM-2016), Dalian, China, 2016. (Best paper nomination)
  Cen Chen, Zhiling Guo, Shih-fen Cheng, and Hoong Chuin Lau
• TASKer: Behavioral insights via campus-based experimental mobile crowd-sourcing, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2016, CCF-A), Heidelberg, Germany, 2016.
  Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra, Shih-Fen Cheng, Cen Chen, Hoong Chuin Lau, Deepthi Chander, and Koustuv Dasgupta
• Campus-scale mobile crowd-tasking: Deployment and behavioral insights, Nineteenth ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW-2016, CCF-A), San Francisco, CA, USA, February 2016. (Best paper nomination)
  Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Hoong Chuin Lau, Cen Chen, Nikita Jaiman, Randy Tandriansyah, Koustuv Dasgupta, and Deepthi Chander

2015 & before

• Towards city-scale mobile crowdsourcing: Task recommendations under trajectory uncertainties, Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-2015, CCF-A), Beunos Aires, Argentina, July 2015.
  Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, and Archan Misra
• Space-Time Aware Behavioral Topic Modeling for Microblog Posts, IEEE Data Engineering Bulletin, 2015.
  Qiang Qu, Cen Chen, Christian S. Jensen, Anders Skovsgaard
• Multi-agent task assignment for mobile crowdsourcing under trajectory uncertainties (Extended Abstract), Fourteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2015), Istanbul, Turkey, May 2015.
  Cen Chen, Shih-Fen Cheng, Archan Misra, and Hoong Chuin Lau
• Multi-agent orienteering problem with time-dependent capacity constraints, Web Intelligence and Agent Systems (WIAS-2014), 2014.
  Cen Chen, Shih-Fen Cheng, and Hoong Chuin Lau
• TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing, Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2014), Pittsburgh, USA, November 2014.
  Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, and Deepthi Chander
• The multi-agent orienteering problem (Extended Abstract), 10th Metaheuristics International Conference (MIC-2013), Singapore, August 2013.
  Cen Chen, Shih-Fen Cheng, and Hoong Chuin Lau