Patent

• More than 30 patents are filed ( 20+ China Patents , 3 World Patents, 1 US patent); more than 10 patents are granted.

Funding

• Jan. 2023 - Dec. 2025: Privacy Preserving Cross-silo Question-Answering Systems

National Natural Science Foundation of China, Principal Investigator

• Nov. 2022 - Jan. 2024: Research on Privacy Protection Techniques for Pretrained Models
  Joint Research Program with Ant Group, Principal Investigator

• Jun. 2022 - Dec. 2023: Efficient, Controllable, and Secure Multimodal Pretraining
  Alibaba Innovative Research Program, Principal Investigator

• Oct. 2023 - Oct. 2024: Video image data desensitization platform

Shanghai Motor Vehicle Inspection and Certification Technology Research Center, Principal Investigator

• Oct. 2022 - Oct. 2025: Joint Lab for Financial Big Data Mining and Analytics
  Joint Lab with Seek Data Inc., Principal Investigator

• May. 2022 - Apr. 2024: Federated Learning for Multi-source Heterogeneous Scenarios

Open Research Fund of KLATASDS-MOE,  Principal Investigator

Journal & Conference

### Accepted papers （* denotes corresponding author）

2024

1. Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models, IJCAI 2024(CCF-A).

Zhongjie Duan, Chengyu Wang, Cen Chen*,  Weining Qian, Jun Huang

2. 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

3. BapFL: You can Backdoor Personalized Federated Learnin, TKDD 2024 (CCF-B,  SCI I区).

Tiandi Ye, Cen Chen*, Yinggui Wang, Xiang Li, Ming Gao

4. 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 

5. UPFL: Unsupervised Personalized Federated Learning towards New Clients, SDM 2024 (CCF-B).

Tiandi Ye, Cen Chen*, Yinggui Wang, Xiang Li, Ming Gao

6. 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

7. Federated Submodular Maximization with Differential Privacy, IEEE Internet of Things Journal (SCI I区).

Yanhao Wang, Tianchen Zhou, Cen Chen*, and Yinggui Wang

8. 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

9. 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

10. 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

11. 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

12. Online Efficient Secure Logistic Regression based on Function Secret Sharing, CIKM 2023 (CCF-B).

Jing Liu, Jamie Cui, and Cen Chen*

13.  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

14. On the Robustness of Split Learning against Adversarial Attacks, ECAI 2023 (CCF-B).

Mingyuan Fan, Cen Chen*, Chengyu Wang, Wenmeng Zhou, and Jun Huang

15. SLPerf: a Unified Framework for Benchmarking Split Learning, FL-IJCAI 2023. 

Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, and Cen Chen*

16. 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

17. 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

18. 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

19. ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization, KSME 2023.

Moming Tang, Chengyu Wang, Jianing Wang,  Cen Chen*,  Ming Gao, and Weining Qian

20. 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

21. 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

22. Robust Clustered Federated Learning, DASFAA 2023 (CCF-B).

Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen*, Yingnan Fu, and Ming Gao

23. Communication Efficient Federated Learning via Channel-wise Dynamic Pruning, IEEE WCNC 2023.

Bo Tao, Cen Chen*, and Huimin Chen

2022

24. 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

25. 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,

26. Learning to Generalize in Heterogeneous Federated Networks, CIKM 2022 (CCF-B). 

Cen Chen, Tiandi Ye, Li Wang, and Ming Gao

27. 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

28. Understanding Long Programming Languages with Structure-Aware Sparse Attention, SIGIR 2022 (CCF-A)  

Tingting Liu, Chengyu Wang, Cen Chen*, Ming Gao, and Aoying Zhou

29. 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

30. 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

31. 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

32. 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

33. Backdoor Defense with Machine Unlearning, INFOCOM 2022 (CCF-A).

Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, and Jianfeng Ma

34. 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

35. Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations.  CIKM 2021 (CCF-B).

Haojie Pan, Cen Chen* , Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, and Jun Huang.

36. 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

37. Weakly-Supervised Open-Retrieval Conversational Question Answering, ECIR 2021.

Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer.

38. Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems, WWW 2021 (CCF-A) .

Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, and Wang Li.

39. Privacy-preserving Optimal Insulin Dosing Decision, ICASSP 2021 (CCF-B).

Zuobin Ying, Shuanglong Cao,  Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang.

40. Reinforced History Backtracking for Conversational Question Answering, AAAI 2021 (CCF-A).

Minghui Qiu, Xinjing Huang,  Cen Chen* , Feng Ji, Chen Qu, Wei Wei, Jun Huang, and Yin Zhang.

41. CAT-BERT: A Context-Aware Transferable BERT Model for Multi-Turn MRC,  DASFAA 2021 (CCF-B).

Cen Chen , Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, and Yin Zhang.

2020

42. Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial (Demo),  CIKM 2020 (CCF-B).

Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, and Benyu Zhang.

43. aDMSCN: an Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM 2020 (CCF-B).

Xu, Kuan, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, and Yu Qiao.

44. Nebula: an Industrial-purpose Privacy-preserving Machine Learning System. S&P 2020 Poster (CCF-A).

Bingzhe Wu, Cen Chen, Li Wang, Lei Wang, Jin Tan, Chaochao Chen, Jun Zhou, and Guangyu Sun.

45. Open-Retrieval Conversational Question Answering.  SIGIR 2020 (CCF-A). 

Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, and Mohit Iyyer.

46.  AutoTransNet: Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching(Poster). The Web Conference 2020  (WWW 2020, CCF-A), Taipei, China, April 20-24, 2020. 

Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, and Jun Zhou.

47. IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. The Web Conference 2020  (WWW 2020, CCF-A), Taipei, China, April 20-24, 2020. 

Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, and Haiqing Chen.

48. Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics, AAAI 2020  (CCF-A).

Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, and Jun Zhou.

2019

49.  InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance, IEEE Big Data 2019.

Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Yang Shuang, and Yuan Qi.

50. 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*, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, and Forrest Sheng Bao.

51. 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.

52. Multi-domain Attention Network with Wasserstein Regularizers for E-commerce Search, 28th International Joint Conference on Artificial Intelligence (IJCAI-19 workshop).

Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, and Forrest Sheng Bao.

53.  AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. 28th International Joint Conference on Artificial Intelligence (IJCAI-19 demo).

Cen Chen ,  Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, and Xiaolong Li.

54. TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. 45th International Conference on Very Large Data Bases (VLDB-19, CCF-A).

Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Alan Qi.

55. Reinforcement Learning for User Intent Prediction in Customer Service Bots. The 42nd International ACM  Conference on Research and Development in Information Retrieval (SIGIR-19, CCF-A), Paris, France, July.

Cen Chen,  Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, and Forrest Sheng Bao.

56. Multi-Domain Gated CNN for Review Helpfulness Prediction. The The World Wide Web Conference (WWW-19, CCF-A), San Francisco, USA, May.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, and Forrest Sheng Bao.

2018

57. 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-18), USA, Jun.

Cen Chen, Yinfei Yang, Jun Zhou, Forrest Sheng Bao and Xiaolong Li. 

58. A Local Online Learning Approach for Non-linear Data.The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD -18), Australia.

XinXing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen. 

2017

59.  Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Transactions on Intelligent Systems and Technology (TIST-17), 2017. 

Shih-fen Cheng, Cen Chen*, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh. 

60. Tackling Large-scale Home Health Care Delivery Problem with Uncertainty. International Conference on Automated Planning and Scheduling (ICAPS-17,  CCF-B), Pittsburgh, USA, June 2017. 

Cen Chen, Zachary B. Rubinstein, Stephen F. Smith and Hoong Chuin Lau. 

61. Cen Chen. Recommending Personalized Schedules in Urban Environments, International Conference on Automated Planning and Scheduling (ICAPS-17,  CCF-B) Doctoral Consortium, Pittsburgh, USA, June 2017. 

62. Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems (Poster), 26th International World Wide Web Conference (WWW-17,  CCF-A), Perth, April 2017.

Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, and Minghui Qiu.

63. Achieving Near-optimal Solutions for Large-scale Home Health Care Scheduling Problem. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) Workshop on AI and OR for Social Good, San Francisco, February 2017.

Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau. 

64. Aspect Extraction from Product Reviews Using Category Hierarchy Information(Short), European Chapter of the Association for Computational Linguistics (EACL-17), Valencia, April 2017.

Yinfei Yang, Cen Chen, Minghui Qiu, and Forrest Bao.

2016

65. Aspect-Based Helpfulness Prediction for Online Product Reviews, 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-16), San Jose, 2016.

Yinfei Yang, Cen Chen, and Forrest S. Bao. 

66. An Experimental Investigation of Product Competition and Marketing in Social Networks, The 10th China Summer Workshop on Information Management (CSWIM-16), Dalian, China, 2016.  (Best paper nomination)

Cen Chen, Zhiling Guo, Shih-fen Cheng, and Hoong Chuin Lau.

67. TASKer: Behavioral insights via campus-based experimental mobile crowd-sourcing, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-16,  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. 

68. Campus-scale mobile crowd-tasking: Deployment and behavioral insights, Nineteenth ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW-16,  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

69. Towards city-scale mobile crowdsourcing: Task recommendations under trajectory uncertainties, Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15,  CCF-A), Beunos Aires, Argentina, July 2015.

Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, and Archan Misra. 

70. Space-Time Aware Behavioral Topic Modeling for Microblog Posts, IEEE Data Engineering Bulletin, 2015.

Qiang Qu, Cen Chen, Christian S. Jensen, Anders Skovsgaard. 

71. Multi-agent task assignment for mobile crowdsourcing under trajectory uncertainties(Extended Abstract), Fourteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-15), Istanbul, Turkey, May 2015.

Cen Chen, Shih-Fen Cheng, Archan Misra, and Hoong Chuin Lau. 

72. Multi-agent orienteering problem with time-dependent capacity constraints, Web Intelligence and Agent Systems (WIAS-14), 2014.

Cen Chen, Shih-Fen Cheng, and Hoong Chuin Lau. 

73. TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing, Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP-14), Pittsburgh, USA, November 2014.

Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, and Deepthi Chander.

74. The multi-agent orienteering problem (Extended Abstract), 10th Metaheuristics International Conference (MIC-13), Singapore, August 2013.

Cen Chen, Shih-Fen Cheng, and Hoong Chuin Lau.