Cen Chen - RankMe

183 papers A* 27A 27B 8C 1Misc 3Journal 87Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning. AAAI Zhanyi Hu, Cen Chen, Yanhao Wang
2026	J	`jnl`	Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation. CoRR Jinyan Ye, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2026	J	`jnl`	VIRAL: Visual In-Context Reasoning via Analogy in Diffusion Transformers. CoRR Zhiwen Li, Zhongjie Duan, Jinyan Ye, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2026	J	`jnl`	When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards. CoRR Mingyuan Fan, Weiguang Han, Daixin Wang, Cen Chen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	A Review and Experimental Evaluation on Split Learning. Future Internet Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang
2025	A	`conf`	AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. CIKM Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang
2025	B	`conf`	AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation. ICMR Tianchen Zhou, Zhongjie Duan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li
2025	J	`jnl`	AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models. CoRR Die Chen, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yinda Chen
2025	J	`jnl`	AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation. CoRR Zhiwen Li, Zhongjie Duan, Die Chen, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2025	A*	`conf`	Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning. ICLR Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen
2025	J	`jnl`	Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning. CoRR Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen
2025	J	`jnl`	Boosting Dataset Distillation With the Assistance of Crucial Samples for Visual Learning. IEEE Trans. Multim. Xiaodan Li, Yao Zhu, Yuefeng Chen, Cen Chen, Jianmei Guo, Shuhui Wang
2025	A*	`conf`	Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings. USENIX Security Symposium Mingyuan Fan, Fuyi Wang, Cen Chen, Jianying Zhou
2025	J	`jnl`	Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings. CoRR Mingyuan Fan, Fuyi Wang, Cen Chen, Jianying Zhou
2025	J	`jnl`	CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models. CoRR Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Mingyuan Chu, Xin Zhang, Jun Zhou
2025	A	`conf`	CSMD: Curated Multimodal Dataset for Chinese Stock Analysis. CIKM Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen
2025	J	`jnl`	CSMD: Curated Multimodal Dataset for Chinese Stock Analysis. CoRR Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen
2025	J	`jnl`	Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models. CoRR Die Chen, Zhiwen Li, Cen Chen, Xiaodan Li, Jinyan Ye
2025	J	`jnl`	Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models. CoRR Die Chen, Zhiwen Li, Cen Chen, Yuexiang Xie, Xiaodan Li, Jinyan Ye, Yingda Chen, Yaliang Li
2025	A	`conf`	Densest Subgraph Discovery on Decentralized Graphs with Local Edge Differential Privacy. CIKM Wenping Tong, Yi Zhou, Yanhao Wang, Cen Chen, Minghao Zhao
2025	A*	`conf`	Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning. IJCAI Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen
2025	A*	`conf`	ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. IJCAI Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen
2025	J	`jnl`	Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack. ACM Trans. Knowl. Discov. Data Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang
2025	A*	`conf`	FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending. IJCAI Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin
2025	J	`jnl`	FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models. CoRR Chuan Li, Qianyi Zhao, Fengran Mo, Cen Chen
2025	A*	`conf`	Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. ICLR Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li
2025	J	`jnl`	Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection. CoRR Xiaodan Li, Mengjie Wu, Yao Zhu, Yunna Lv, Yuefeng Chen, Cen Chen, Jianmei Guo, Hui Xue
2025	—	`conf`	LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion. ACL (1) Guanghao Zhou, Panjia Qiu, Cen Chen, Hongyu Li, Jason Chu, Xin Zhang, Jun Zhou
2025	J	`jnl`	On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook. Int. J. Comput. Vis. Mingyuan Fan, Chengyu Wang, Cen Chen, Yang Liu, Jun Huang
2025	A	`conf`	Paeformer: Patch-Wise Representation Learning with Autoencoder for Multivariate Time Series Forecasting. ECAI Kun Liu, Zhongjie Duan, Cen Chen
2025	A*	`conf`	Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. USENIX Security Symposium Mingyuan Fan, Cen Chen, Chengyu Wang, Xiaodan Li, Wenmeng Zhou
2025	J	`jnl`	Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models. CoRR Guanghao Zhou, Panjia Qiu, Cen Chen, Jie Wang, Zheming Yang, Jian Xu, Minghui Qiu
2025	A*	`conf`	Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. WWW Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou
2025	J	`jnl`	Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. CoRR Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou
2025	—	`conf`	SLPerf: A Research Library and Benchmark Framework for Split Learning. ICDEW Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang
2025	J	`jnl`	SVIA: A Street View Image Anonymization Framework for Self-Driving Applications. CoRR Dongyu Liu, Xuhong Wang, Cen Chen, Yanhao Wang, Shengyue Yao, Yilun Lin
2025	A*	`conf`	TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs. IJCAI Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li
2025	A	`conf`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CIKM Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025	J	`jnl`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CoRR Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025	A	`conf`	Transferable Adversarial Examples with Bayesian Approach. AsiaCCS Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yinggui Wang
2024	J	`jnl`	Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
2024	A	`conf`	Approximate Kernel Density Estimation under Metric-based Local Differential Privacy. UAI Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, Cen Chen
2024	J	`jnl`	ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. CoRR Zhongjie Duan, Qianyi Zhao, Cen Chen, Daoyuan Chen, Wenmeng Zhou, Yaliang Li, Yingda Chen
2024	J	`jnl`	BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2024	J	`jnl`	DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report). CoRR Yiping Wang, Yanhao Wang, Cen Chen
2024	A*	`conf`	DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. KDD Yiping Wang, Yanhao Wang, Cen Chen
2024	C	`conf`	Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. IV Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin
2024	J	`jnl`	Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. CoRR Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin
2024	—	`conf`	DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. ECML/PKDD (10) Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
2024	A*	`conf`	Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. IJCAI Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang
2024	J	`jnl`	Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang
2024	A	`conf`	DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
2024	J	`jnl`	EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. CoRR Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li
2024	J	`jnl`	ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. CoRR Zhongjie Duan, Wenmeng Zhou, Cen Chen, Yaliang Li, Weining Qian
2024	J	`jnl`	FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. IEEE Trans. Big Data Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li
2024	B	`conf`	FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. ICPADS Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang
2024	J	`jnl`	FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. CoRR Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang
2024	—	`conf`	FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning. BIBM Xinyv Li, Cen Chen, Jamie Cui
2024	J	`jnl`	Federated Submodular Maximization With Differential Privacy. IEEE Internet Things J. Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang
2024	A	`conf`	Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou
2024	A	`conf`	LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. CIKM Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou
2024	—	`conf`	PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. ACL (3) Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
2024	J	`jnl`	Predicting stock market trends with self-supervised learning. Neurocomputing Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang
2024	—	`conf`	Privacy Evaluation Benchmarks for NLP Models. EMNLP (Findings) Wei Huang, Yinggui Wang, Cen Chen
2024	J	`jnl`	Privacy Evaluation Benchmarks for NLP Models. CoRR Wei Huang, Yinggui Wang, Cen Chen
2024	A	`conf`	SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. CIKM Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou
2024	—	`conf`	SVIA: A Street View Image Anonymization Framework for Self-Driving Applications. ITSC Dongyu Liu, Xuhong Wang, Cen Chen, Yanhao Wang, Shengyue Yao, Yilun Lin
2024	J	`jnl`	SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images. CoRR Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu
2024	A	`conf`	Sentiment Confidence Separation: A Trust-Optimized Framework for Multimodal Sentiment Classification. ICME Zemin Tang, Min Shi, Zhibang Yang, Xu Zhou, Cen Chen, Joey Tianyi Zhou
2024	—	`conf`	TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. LREC/COLING Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang
2024	A*	`conf`	Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness. NeurIPS Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li
2024	A	`conf`	UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023	—	`conf`	A Customized Text Sanitization Mechanism with Differential Privacy. ACL (Findings) Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui
2023	B	`conf`	Communication Efficient Federated Learning via Channel-wise Dynamic Pruning. WCNC Bo Tao, Cen Chen, Huimin Chen
2023	J	`jnl`	DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. CoRR Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
2023	—	`conf`	DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. EMNLP (Findings) Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen
2023	J	`jnl`	DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. CoRR Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
2023	J	`jnl`	FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier. CoRR Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin
2023	J	`jnl`	Flatness-aware Adversarial Attack. CoRR Mingyuan Fan, Xiaodan Li, Cen Chen, Yinggui Wang
2023	A	`conf`	Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
2023	A*	`conf`	Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
2023	J	`jnl`	Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
2023	A*	`conf`	Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. WWW Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian
2023	A	`conf`	On the Robustness of Split Learning Against Adversarial Attacks. ECAI Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang
2023	J	`jnl`	On the Robustness of Split Learning against Adversarial Attacks. CoRR Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang
2023	J	`jnl`	On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. CoRR Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang
2023	A	`conf`	Online Efficient Secure Logistic Regression based on Function Secret Sharing. CIKM Jing Liu, Jamie Cui, Cen Chen
2023	J	`jnl`	Online Efficient Secure Logistic Regression based on Function Secret Sharing. CoRR Jing Liu, Jamie Cui, Cen Chen
2023	A	`conf`	Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CIKM Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian
2023	J	`jnl`	Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CoRR Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian
2023	J	`jnl`	PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
2023	—	`conf`	ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian
2023	—	`conf`	Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang
2023	J	`jnl`	Resizing codebook of vector quantization without retraining. Multim. Syst. Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
2023	—	`conf`	Robust Clustered Federated Learning. DASFAA (1) Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao
2023	J	`jnl`	SLPerf: a Unified Framework for Benchmarking Split Learning. CoRR Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen
2023	J	`jnl`	TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou
2023	J	`jnl`	UPFL: Unsupervised Personalized Federated Learning towards New Clients. CoRR Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023	—	`conf`	XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian
2023	J	`jnl`	You Can Backdoor Personalized Federated Learning. CoRR Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2022	J	`jnl`	A Customised Text Privatisation Mechanism with Differential Privacy. CoRR Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie
2022	A*	`conf`	Backdoor Defense with Machine Unlearning. INFOCOM Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma
2022	J	`jnl`	Backdoor Defense with Machine Unlearning. CoRR Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma
2022	Misc	`conf`	Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. ICASSP Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu
2022	J	`jnl`	Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. CoRR Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu, Wenzhong Guo
2022	J	`jnl`	Enhanced gradient learning for deep neural networks. IET Image Process. Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou, Yi Pan, Zeng Zeng
2022	B	`conf`	Iterative Contrastive Learning for Single Image Raindrop Removal. ICIP XuLei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng
2022	A	`conf`	Learning to Generalize in Heterogeneous Federated Networks. CIKM Cen Chen, Tiandi Ye, Li Wang, Ming Gao
2022	J	`jnl`	MaskBlock: Transferable Adversarial Examples with Bayes Approach. CoRR Mingyuan Fan, Cen Chen, Ximeng Liu, Wenzhong Guo
2022	—	`conf`	Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian
2022	A	`conf`	Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. CIKM Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
2022	J	`jnl`	Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. CoRR Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo
2022	—	`conf`	SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. NAACL-HLT Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen
2022	—	`conf`	TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian
2022	J	`jnl`	Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. IEEE Internet Things J. Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu
2022	J	`jnl`	Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2022	A*	`conf`	Understanding Long Programming Languages with Structure-Aware Sparse Attention. SIGIR Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
2022	J	`jnl`	Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
2021	—	`conf`	CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. DASFAA (2) Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang
2021	A*	`conf`	Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. WWW Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li
2021	J	`jnl`	DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
2021	J	`jnl`	DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. CoRR Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
2021	J	`jnl`	Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks. IEEE Wirel. Commun. Chi Zhang, Liangli Zhen, Joey Zhou, Cen Chen
2021	A	`conf`	EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin
2021	A	`conf`	Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. CIKM Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang
2021	J	`jnl`	Practical and Light-weight Secure Aggregation for Federated Submodel Learning. CoRR Jamie Cui, Cen Chen, Tiandi Ye, Li Wang
2021	J	`jnl`	Privacy Threats Analysis to Secure Federated Learning. CoRR Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang
2021	Misc	`conf`	Privacy-Preserving Optimal Insulin Dosing Decision. ICASSP Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang
2021	A*	`conf`	Reinforced History Backtracking for Conversational Question Answering. AAAI Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang
2021	B	`conf`	Systematic Analysis of Circular Artifacts for Stylegan. ICIP Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, XuLei Yang
2021	—	`conf`	Weakly-Supervised Open-Retrieval Conversational Question Answering. ECIR (1) Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer
2021	J	`jnl`	Weakly-Supervised Open-Retrieval Conversational Question Answering. CoRR Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer
2020	—	`conf`	A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems. HPCC/DSS/SmartCity Jing Liu, Yifu Zhang, Yang Liu, Pei Yang, Cen Chen, Ziqi Zhu, Zeng Zeng
2020	J	`jnl`	A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. CoRR Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou
2020	—	`conf`	A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications. HPCC/DSS/SmartCity Wei Hu, Chongwei Zheng, Yonghao Wang, Jing Liu, Cen Chen, Zeng Zeng
2020	J	`jnl`	A Theoretical Perspective on Differentially Private Federated Multi-task Learning. CoRR Huiwen Wu, Cen Chen, Li Wang
2020	—	`conf`	Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou
2020	A*	`conf`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2020	J	`jnl`	EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR 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
2020	—	`conf`	Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm. HPCC/DSS/SmartCity Wei Hu, Chongwei Zheng, Yonghao Wang, Jin Zhang, Cen Chen, Zeng Zeng
2020	J	`jnl`	End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. CoRR Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu
2020	A*	`conf`	IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. WWW Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020	J	`jnl`	IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. CoRR Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020	J	`jnl`	ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access Jinning Li, Yichen Zhou, Jie Ding, Cen Chen, XuLei Yang
2020	J	`jnl`	Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
2020	J	`jnl`	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. CoRR Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen
2020	A	`conf`	Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
2020	A*	`conf`	Open-Retrieval Conversational Question Answering. SIGIR Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer
2020	J	`jnl`	Open-Retrieval Conversational Question Answering. CoRR Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer
2020	B	`conf`	Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation. ICIP XuLei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen, Yi Su
2020	J	`jnl`	Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy. CoRR Bin Zhang, Cen Chen, Li Wang
2020	J	`jnl`	Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2020	A	`conf`	aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao
2019	A*	`conf`	AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. IJCAI Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li
2019	A	`conf`	Attentive History Selection for Conversational Question Answering. CIKM Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer
2019	J	`jnl`	Attentive History Selection for Conversational Question Answering. CoRR Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer
2019	J	`jnl`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2019	A	`conf`	Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao
2019	—	`conf`	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi
2019	A*	`conf`	Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao
2019	A*	`conf`	Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao
2019	—	`conf`	Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, XuLei Yang, Le Zhang, Zeng Zeng
2019	J	`jnl`	Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, XuLei Yang, Le Zhang, Zeng Zeng
2019	J	`jnl`	TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
2019	J	`jnl`	TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi
2018	—	`conf`	A Local Online Learning Approach for Non-linear Data. PAKDD (2) Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
2018	—	`conf`	Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. NAACL-HLT (2) Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao
2018	J	`jnl`	Review Helpfulness Prediction with Embedding-Gated CNN. CoRR Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao
2018	J	`jnl`	Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Trans. Intell. Syst. Technol. Shih-Fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh
2017	—	`conf`	Aspect Extraction from Product Reviews Using Category Hierarchy Information. EACL (2) Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao
2017	—	`conf`	Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu
2017	J	`jnl`	PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu
2017	—	`conf`	Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. AAAI Workshops Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau
2017	A*	`conf`	Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty. ICAPS Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau
2016	B	`conf`	Aspect-Based Helpfulness Prediction for Online Product Reviews. ICTAI Yinfei Yang, Cen Chen, Forrest Sheng Bao
2016	A	`conf`	Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. CSCW Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
2016	Misc	`conf`	TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. UbiComp Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra, Shih-Fen Cheng, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
2015	A	`conf`	Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. AAMAS Cen Chen, Shih-Fen Cheng, Archan Misra, Hoong Chuin Lau
2015	J	`jnl`	Space-Time Aware Behavioral Topic Modeling for Microblog Posts. IEEE Data Eng. Bull. Qiang Qu, Cen Chen, Christian S. Jensen, Anders Skovsgaard
2015	A*	`conf`	Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. IJCAI Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra
2014	J	`jnl`	Multi-agent orienteering problem with time-dependent capacity constraints. Web Intell. Agent Syst. Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau
2014	B	`conf`	TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing. HCOMP Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, Deepthi Chander