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ORCIDCen Chen 0001
Person information
- affiliation: East China Normal University, China
- affiliation (2017-2021): Ant Group, China
- affiliation (2013-2017): Singapore Management University, Singapore
Other persons with the same name
- Cen Chen — disambiguation page
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2020 – today
- 2024
[j19]Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. 18(3): 183308 (2024)- [j18]Zelin Ying, Dawei Cheng
, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang:
Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024) - [j17]Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang:
Federated Submodular Maximization With Differential Privacy. IEEE Internet Things J. 11(2): 1827-1839 (2024) - [j16]Cen Chen, Yangfan Li, Qinyu Wang, Xulei Yang, Xiaokang Wang, Laurence T. Yang:
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems. IEEE Netw. 38(1): 172-179 (2024) - [j15]Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li:
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. IEEE Trans. Big Data 10(6): 1038-1050 (2024) - [j14]Chuang Li, Yujie Peng, Gang Liu, Yangfan Li, Xulei Yang, Cen Chen:
Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment. IEEE Trans. Consumer Electron. 70(1): 1029-1039 (2024) - [j13]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 166 (2024) - [c73]Xinyv Li, Cen Chen, Jamie Cui:
FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning. BIBM 2024: 1569-1572 - [c72]Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou:
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. CIKM 2024: 1920-1929 - [c71]Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou:
LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. CIKM 2024: 3463-3473 - [c70]Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang:
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. LREC/COLING 2024: 15542-15551 - [c69]Wei Huang, Yinggui Wang, Cen Chen:
Privacy Evaluation Benchmarks for NLP Models. EMNLP (Findings) 2024: 2615-2636 - [c68]Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang:
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. ICPADS 2024: 246-253 - [c67]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. IJCAI 2024: 7645-7653 - [c66]Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. IV 2024: 521-526 - [c65]Yiping Wang, Yanhao Wang, Cen Chen:
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. KDD 2024: 3255-3266 - [c64]Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li:
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness. NeurIPS 2024 - [c63]Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. ECML/PKDD (10) 2024: 332-347 - [c62]Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM 2024: 688-696 - [c61]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM 2024: 851-859 - [c60]Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM 2024: 190-198 - [i49]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR abs/2401.16224 (2024) - [i48]Yiping Wang, Yanhao Wang, Cen Chen:
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report). CoRR abs/2406.07953 (2024) - [i47]Zhongjie Duan, Wenmeng Zhou, Cen Chen, Yaliang Li, Weining Qian:
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. CoRR abs/2406.14130 (2024) - [i46]Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. CoRR abs/2407.00995 (2024) - [i45]Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu:
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images. CoRR abs/2407.11073 (2024) - [i44]Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li:
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. CoRR abs/2408.01014 (2024) - [i43]Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang:
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. CoRR abs/2409.00116 (2024) - [i42]Wei Huang, Yinggui Wang, Cen Chen:
Privacy Evaluation Benchmarks for NLP Models. CoRR abs/2409.15868 (2024) - [i41]Zhongjie Duan, Qianyi Zhao, Cen Chen, Daoyuan Chen, Wenmeng Zhou, Yaliang Li, Yingda Chen:
ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. CoRR abs/2412.12888 (2024) - 2023
- [j12]Xiaofeng Zou, Kenli Li, Cen Chen, Xulei Yang, Wei Wei, Keqin Li:
DGSLN: Differentiable graph structure learning neural network for robust graph representations. Inf. Sci. 626: 94-113 (2023) - [j11]Mi Li, Cen Chen, Xulei Yang, Joey Tianyi Zhou, Tao Zhang, Yangfan Li:
Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction. IEEE J. Sel. Areas Commun. 41(11): 3624-3635 (2023) - [j10]Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Resizing codebook of vector quantization without retraining. Multim. Syst. 29(3): 1499-1512 (2023) - [j9]Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27(2): 598-607 (2023) - [c59]Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang:
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) 2023: 295-304 - [c58]Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui:
A Customized Text Sanitization Mechanism with Differential Privacy. ACL (Findings) 2023: 5747-5758 - [c57]Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian:
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) 2023: 6368-6376 - [c56]Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CIKM 2023: 463-472 - [c55]Jing Liu, Jamie Cui, Cen Chen:
Online Efficient Secure Logistic Regression based on Function Secret Sharing. CIKM 2023: 1597-1606 - [c54]Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM 2023: 3828-3832 - [c53]Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao:
Robust Clustered Federated Learning. DASFAA (1) 2023: 677-692 - [c52]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning Against Adversarial Attacks. ECAI 2023: 668-675 - [c51]Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen:
DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. EMNLP (Findings) 2023: 1226-1235 - [c50]Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP 2023: 15663-15676 - [c49]Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang:
COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. ICIP 2023: 1990-1994 - [c48]Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian:
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) 2023: 106-119 - [c47]Bo Tao, Cen Chen, Huimin Chen:
Communication Efficient Federated Learning via Channel-wise Dynamic Pruning. WCNC 2023: 1-6 - [c46]Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian:
Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. WWW 2023: 3257-3267 - [i40]Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen:
SLPerf: a Unified Framework for Benchmarking Split Learning. CoRR abs/2304.01502 (2023) - [i39]Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CoRR abs/2305.14677 (2023) - [i38]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning against Adversarial Attacks. CoRR abs/2307.07916 (2023) - [i37]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
You Can Backdoor Personalized Federated Learning. CoRR abs/2307.15971 (2023) - [i36]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. CoRR abs/2307.15994 (2023) - [i35]Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang:
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. CoRR abs/2307.16680 (2023) - [i34]Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. CoRR abs/2308.03463 (2023) - [i33]Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou:
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR abs/2308.15010 (2023) - [i32]Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang:
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR abs/2309.05534 (2023) - [i31]Jing Liu, Jamie Cui, Cen Chen:
Online Efficient Secure Logistic Regression based on Function Secret Sharing. CoRR abs/2309.09486 (2023) - [i30]Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. CoRR abs/2309.12424 (2023) - [i29]Mingyuan Fan, Xiaodan Li, Cen Chen, Yinggui Wang:
Flatness-aware Adversarial Attack. CoRR abs/2311.06423 (2023) - [i28]Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR abs/2311.06761 (2023) - [i27]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin:
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier. CoRR abs/2311.09265 (2023) - 2022
- [j8]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu:
Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. IEEE Internet Things J. 9(18): 17002-17013 (2022) - [j7]Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13(4): 53:1-53:21 (2022) - [c45]Cen Chen, Tiandi Ye, Li Wang, Ming Gao:
Learning to Generalize in Heterogeneous Federated Networks. CIKM 2022: 159-168 - [c44]Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. CIKM 2022: 406-415 - [c43]Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian:
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) 2022: 306-313 - [c42]Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian:
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) 2022: 455-467 - [c41]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu:
Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. ICASSP 2022: 3293-3297 - [c40]Xulei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng:
Iterative Contrastive Learning for Single Image Raindrop Removal. ICIP 2022: 456-460 - [c39]Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. INFOCOM 2022: 280-289 - [c38]Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen:
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. NAACL-HLT 2022: 2450-2458 - [c37]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. SIGIR 2022: 2093-2098 - [c36]Peisheng Qian, Kai Zheng, Cen Chen, Zhongyao Cheng, Li Wang, Hui Li Tan:
Contrastive R-CNN for Incremental Learning in Object Detection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 557-563 - [i26]Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. CoRR abs/2201.09538 (2022) - [i25]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR abs/2205.13730 (2022) - [i24]Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie:
A Customised Text Privatisation Mechanism with Differential Privacy. CoRR abs/2207.01193 (2022) - [i23]Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu, Wenzhong Guo:
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. CoRR abs/2208.06537 (2022) - [i22]Mingyuan Fan, Cen Chen, Ximeng Liu, Wenzhong Guo:
MaskBlock: Transferable Adversarial Examples with Bayes Approach. CoRR abs/2208.06538 (2022) - [i21]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo:
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. CoRR abs/2212.02042 (2022) - 2021
- [j6]Yibi Chen, Xiaofeng Zou, Kenli Li, Keqin Li, Xulei Yang, Cen Chen:
Multiple local 3D CNNs for region-based prediction in smart cities. Inf. Sci. 542: 476-491 (2021) - [c35]Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang:
Reinforced History Backtracking for Conversational Question Answering. AAAI 2021: 13718-13726 - [c34]Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang:
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. CIKM 2021: 4055-4064 - [c33]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c32]Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang:
CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. DASFAA (2) 2021: 152-167 - [c31]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. ECIR (1) 2021: 529-543 - [c30]Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang:
Privacy-Preserving Optimal Insulin Dosing Decision. ICASSP 2021: 2640-2644 - [c29]Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, Xulei Yang:
Systematic Analysis of Circular Artifacts for Stylegan. ICIP 2021: 3902-3906 - [c28]Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li:
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. WWW 2021: 2613-2623 - [i20]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. CoRR abs/2103.02537 (2021) - [i19]Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang:
Privacy Threats Analysis to Secure Federated Learning. CoRR abs/2106.13076 (2021) - [i18]Jamie Cui, Cen Chen, Tiandi Ye, Li Wang:
Practical and Light-weight Secure Aggregation for Federated Submodel Learning. CoRR abs/2111.01432 (2021) - 2020
- [j5]Jinning Li, Yichen Zhou, Jie Ding, Cen Chen, Xulei Yang:
ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access 8: 138373-138381 (2020) - [c27]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI 2020: 6372-6379 - [c26]Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao:
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM 2020: 2853-2860 - [c25]Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang:
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM 2020: 3369-3372 - [c24]Xulei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen, Yi Su:
Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation. ICIP 2020: 3020-3024 - [c23]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. SIGIR 2020: 539-548 - [c22]Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou:
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) 2020: 73-74 - [c21]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. WWW 2020: 2592-2598 - [i17]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. CoRR abs/2002.00571 (2020) - [i16]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR abs/2003.02833 (2020) - [i15]Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu:
End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. CoRR abs/2005.06377 (2020) - [i14]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. CoRR abs/2005.11364 (2020) - [i13]Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou:
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. CoRR abs/2009.01989 (2020) - [i12]Bin Zhang, Cen Chen, Li Wang:
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy. CoRR abs/2009.11680 (2020) - [i11]Huiwen Wu, Cen Chen, Li Wang:
A Theoretical Perspective on Differentially Private Federated Multi-task Learning. CoRR abs/2011.07179 (2020) - [i10]Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020) - [i9]Yilun Lin, Chaochao Chen, Cen Chen, Li Wang:
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR abs/2011.11369 (2020) - [i8]Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen:
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. CoRR abs/2011.12771 (2020) - [i7]Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR abs/2012.09364 (2020)
2010 – 2019
- 2019
- [j4]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12(12): 2082-2093 (2019) - [c20]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI 2019: 1-4 - [c19]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData 2019: 1765-1773 - [c18]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CIKM 2019: 1391-1400 - [c17]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c16]Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li:
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. IJCAI 2019: 6497-6499 - [c15]Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR 2019: 1265-1268 - [c14]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW 2019: 2630-2636 - [i6]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR abs/1903.04778 (2019) - [i5]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR abs/1906.07407 (2019) - [i4]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CoRR abs/1908.09456 (2019) - [i3]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR abs/1910.02249 (2019) - 2018
- [j3]Shih-Fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh:
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Trans. Intell. Syst. Technol. 9(3): 26:1-26:24 (2018) - [c13]Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898 - [c12]Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. NAACL-HLT (2) 2018: 602-607 - [c11]Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li:
A Local Online Learning Approach for Non-linear Data. PAKDD (2) 2018: 431-443 - [i2]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR abs/1808.09896 (2018) - 2017
- [c10]Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau:
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. AAAI Workshops 2017 - [c9]Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau:
Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty. ICAPS 2017: 358-366 - [c8]Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao:
Aspect Extraction from Product Reviews Using Category Hierarchy Information. EACL (2) 2017: 675-680 - [c7]Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu:
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) 2017: 769-770 - [i1]Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu:
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR abs/1711.01034 (2017) - 2016
- [c6]Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta:
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. CSCW 2016: 798-810 - [c5]Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra, Shih-Fen Cheng, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta:
TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. UbiComp 2016: 392-402 - [c4]Yinfei Yang, Cen Chen, Forrest Sheng Bao:
Aspect-Based Helpfulness Prediction for Online Product Reviews. ICTAI 2016: 836-843 - 2015
- [j2]Qiang Qu, Cen Chen, Christian S. Jensen, Anders Skovsgaard:
Space-Time Aware Behavioral Topic Modeling for Microblog Posts. IEEE Data Eng. Bull. 38(2): 58-67 (2015) - [c3]Cen Chen, Shih-Fen Cheng, Archan Misra, Hoong Chuin Lau:
Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. AAMAS 2015: 1715-1716 - [c2]Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra:
Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. IJCAI 2015: 1113-1119 - 2014
- [j1]Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau:
Multi-agent orienteering problem with time-dependent capacity constraints. Web Intell. Agent Syst. 12(4): 347-358 (2014) - [c1]Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, Deepthi Chander:
TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing. HCOMP 2014: 30-40
Coauthor Index
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