TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing. - Cen Chen 001; Shih-Fen Cheng; Aldy Gunawan; Archan Misra; Koustuv Dasgupta; Deepthi Chander (HCOMP, 2014)

Multi-agent orienteering problem with time-dependent capacity constraints. - Cen Chen 001; Shih-Fen Cheng; Hoong Chuin Lau (Web Intell. Agent Syst., 2014)

Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. - Cen Chen 001; Shih-Fen Cheng; Archan Misra; Hoong Chuin Lau (AAMAS, 2015)

Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. - Cen Chen 001; Shih-Fen Cheng; Hoong Chuin Lau; Archan Misra (IJCAI, 2015)

Space-Time Aware Behavioral Topic Modeling for Microblog Posts. - Qiang Qu; Cen Chen 001; Christian S. Jensen; Anders Skovsgaard (IEEE Data Eng. Bull., 2015)

Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. - Thivya Kandappu; Archan Misra; Shih-Fen Cheng; Nikita Jaiman; Randy Tandriansyah; Cen Chen 001; Hoong Chuin Lau; Deepthi Chander; Koustuv Dasgupta (CSCW, 2016)

TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. - Thivya Kandappu; Nikita Jaiman; Randy Tandriansyah; Archan Misra; Shih-Fen Cheng; Cen Chen 001; Hoong Chuin Lau; Deepthi Chander; Koustuv Dasgupta (UbiComp, 2016)

Aspect-Based Helpfulness Prediction for Online Product Reviews. - Yinfei Yang; Cen Chen 001; Forrest Sheng Bao (ICTAI, 2016)

Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. - Cen Chen 001; Zachary B. Rubinstein; Stephen F. Smith; Hoong Chuin Lau (AAAI Workshops, 2017)

Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty. - Cen Chen 001; Zachary B. Rubinstein; Stephen F. Smith; Hoong Chuin Lau (ICAPS, 2017)

Aspect Extraction from Product Reviews Using Category Hierarchy Information. - Yinfei Yang; Cen Chen 001; Minghui Qiu; Forrest Sheng Bao (EACL (2), 2017)

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. - Cen Chen 001; Peilin Zhao; Longfei Li; Jun Zhou 011; Xiaolong Li 005; Minghui Qiu (WWW (Companion Volume), 2017)

PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). - Xu Hu; Jun Huang 007; Minghui Qiu; Cen Chen 001; Wei Chu (CoRR, 2017)

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. - Cen Chen 001; Yinfei Yang; Jun Zhou 011; Xiaolong Li 005; Forrest Sheng Bao (NAACL-HLT (2), 2018)

A Local Online Learning Approach for Non-linear Data. - Xinxing Yang; Jun Zhou 011; Peilin Zhao; Cen Chen 001; Chaochao Chen 001; Xiaolong Li 005 (PAKDD (2), 2018)

Review Helpfulness Prediction with Embedding-Gated CNN. - Cen Chen 001; Minghui Qiu; Yinfei Yang; Jun Zhou 011; Jun Huang 007; Xiaolong Li 005; Forrest Sheng Bao (CoRR, 2018)

Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. - Shih-Fen Cheng; Cen Chen 001; Thivya Kandappu; Hoong Chuin Lau; Archan Misra; Nikita Jaiman; Randy Tandriansyah; Desmond Koh (ACM Trans. Intell. Syst. Technol., 2018)

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. - Ziyuan Zhao; Xiaoman Zhang; Cen Chen 001; Wei Li; Songyou Peng; Jie Wang 042; Xulei Yang; Le Zhang 001; Zeng Zeng (BHI, 2019)

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Cen Chen 001; Chen Liang; Jianbin Lin; Li Wang 056; Ziqi Liu; Xinxing Yang; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (IEEE BigData, 2019)

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. - Minghui Qiu; Bo Wang; Cen Chen 001; Xiaoyi Zeng; Jun Huang 007; Deng Cai 001; Jingren Zhou 001; Forrest Sheng Bao (CIKM, 2019)

Attentive History Selection for Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Minghui Qiu; Yongfeng Zhang; Cen Chen 001; W. Bruce Croft; Mohit Iyyer (CIKM, 2019)

AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. - Cen Chen 001; Xiaolu Zhang; Sheng Ju; Chilin Fu; Caizhi Tang; Jun Zhou 011; Xiaolong Li 005 (IJCAI, 2019)

Reinforcement Learning for User Intent Prediction in Customer Service Bots. - Cen Chen 001; Chilin Fu; Xu Hu; Xiaolu Zhang; Jun Zhou 011; Xiaolong Li 005; Forrest Sheng Bao (SIGIR, 2019)

Multi-Domain Gated CNN for Review Helpfulness Prediction. - Cen Chen 001; Minghui Qiu; Yinfei Yang; Jun Zhou 011; Jun Huang 007; Xiaolong Li 005; Forrest Sheng Bao (WWW, 2019)

TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. - Shaosheng Cao; Xinxing Yang; Cen Chen 001; Jun Zhou 011; Xiaolong Li 005; Yuan Qi 001 (Proc. VLDB Endow., 2019)

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. - Bingzhe Wu; Chaochao Chen 001; Shiwan Zhao; Cen Chen 001; Yuan Yao; Guangyu Sun 003; Li Wang 056; Xiaolu Zhang; Jun Zhou 011 (AAAI, 2020)

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. - Cen Chen 001; Bingzhe Wu; Li Wang 056; Chaochao Chen 001; Jin Tan; Lei Wang 152; Jun Zhou 011; Benyu Zhang (CIKM, 2020)

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. - Kuan Xu; Chilin Fu; Xiaolu Zhang; Cen Chen 001; Ya-Lin Zhang 001; Wenge Rong; Zujie Wen; Jun Zhou 011; Xiaolong Li 005; Yu Qiao 001 (CIKM, 2020)

A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications. - Wei Hu 001; Chongwei Zheng 003; Yonghao Wang; Jing Liu 032; Cen Chen 001; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm. - Wei Hu 001; Chongwei Zheng 003; Yonghao Wang; Jin Zhang; Cen Chen 001; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems. - Jing Liu 032; Yifu Zhang; Yang Liu 118; Pei Yang; Cen Chen 001; Ziqi Zhu; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation. - Xulei Yang; Xin Zhao; Gabriel Tjio; Cen Chen 001; Li Wang 057; Bihan Wen; Yi Su 001 (ICIP, 2020)

Open-Retrieval Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Cen Chen 001; Minghui Qiu; W. Bruce Croft; Mohit Iyyer (SIGIR, 2020)

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. - Liu Yang 005; Minghui Qiu; Chen Qu 001; Cen Chen 001; Jiafeng Guo; Yongfeng Zhang; W. Bruce Croft; Haiqing Chen (WWW, 2020)

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. - Cen Chen 001; Ya-Lin Zhang 001; Minghui Qiu; Bingzhe Wu; Li Wang 056; Longfei Li; Jun Zhou 011 (WWW (Companion Volume), 2020)

ID Preserving Face Super-Resolution Generative Adversarial Networks. - Jinning Li 001; Yichen Zhou; Jie Ding 007; Cen Chen 001; Xulei Yang (IEEE Access, 2020)

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Cen Chen 001; Chen Liang; Jianbin Lin; Li Wang 056; Ziqi Liu; Xinxing Yang; Xiukun Wang; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CoRR, 2020)

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. - Forrest Sheng Bao; Hebi Li; Ge Luo 002; Cen Chen 001; Yinfei Yang; Minghui Qiu (CoRR, 2020)

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. - Cen Chen 001; Bingzhe Wu; Minghui Qiu; Li Wang 057; Jun Zhou 011 (CoRR, 2020)

Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy. - Bin Zhang; Cen Chen 001; Li Wang 057 (CoRR, 2020)

A Theoretical Perspective on Differentially Private Federated Multi-task Learning. - Huiwen Wu; Cen Chen 001; Li Wang 057 (CoRR, 2020)

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. - Minghui Qiu; Peng Li 056; Hanjie Pan; Chengyu Wang 001; Ang Wang; Cen Chen 001; Yaliang Li; Dehong Gao; Jun Huang 007; Yong Li 020; Jun Yang 052; Deng Cai 001; et al. (CoRR, 2020)

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. - Yilun Lin; Chaochao Chen 001; Cen Chen 001; Li Wang 056 (CoRR, 2020)

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. - Haojie Pan; Cen Chen 001; Minghui Qiu; Liu Yang 005; Feng Ji; Jun Huang 007; Haiqing Chen (CoRR, 2020)

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (CoRR, 2020)

Reinforced History Backtracking for Conversational Question Answering. - Minghui Qiu; Xinjing Huang; Cen Chen 001; Feng Ji; Chen Qu 001; Wei Wei 002; Jun Huang 007; Yin Zhang 006 (AAAI, 2021)

Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. - Haojie Pan; Cen Chen 001; Chengyu Wang 001; Minghui Qiu; Liu Yang 005; Feng Ji; Jun Huang 007 (CIKM, 2021)

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. - Minghui Qiu; Peng Li 056; Chengyu Wang 001; Haojie Pan; Ang Wang; Cen Chen 001; Xianyan Jia; Yaliang Li; Jun Huang 007; Deng Cai 001; Wei Lin 016 (CIKM, 2021)

CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. - Cen Chen 001; Xinjing Huang; Feng Ji; Chengyu Wang 001; Minghui Qiu; Jun Huang 007; Yin Zhang 006 (DASFAA (2), 2021)

Weakly-Supervised Open-Retrieval Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Cen Chen 001; W. Bruce Croft; Kalpesh Krishna; Mohit Iyyer (ECIR (1), 2021)

Privacy-Preserving Optimal Insulin Dosing Decision. - Zuobin Ying; Shuanglong Cao; Shengmin Xu; Ximeng Liu; Lingjuan Lyu; Cen Chen 001; Li Wang 056 (ICASSP, 2021)

Systematic Analysis of Circular Artifacts for Stylegan. - Way Tan; Bihan Wen; Cen Chen 001; Zeng Zeng; Xulei Yang (ICIP, 2021)

Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. - Cen Chen 001; Chengyu Wang 001; Minghui Qiu; Dehong Gao; Linbo Jin; Wang Li (WWW, 2021)

Privacy Threats Analysis to Secure Federated Learning. - Yuchen Li; Yifan Bao; Liyao Xiang; Junhan Liu; Cen Chen 001; Li Wang 057; Xinbing Wang (CoRR, 2021)

Practical and Light-weight Secure Aggregation for Federated Submodel Learning. - Jamie Cui; Cen Chen 001; Tiandi Ye; Li Wang 057 (CoRR, 2021)

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. - Ziyuan Zhao; Zeng Zeng; Kaixin Xu; Cen Chen 001; Cuntai Guan (IEEE J. Biomed. Health Informatics, 2021)

Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks. - Chi Zhang 007; Liangli Zhen; Joey Zhou; Cen Chen 001 (IEEE Wirel. Commun., 2021)

Learning to Generalize in Heterogeneous Federated Networks. - Cen Chen 001; Tiandi Ye; Li Wang 056; Ming Gao 001 (CIKM, 2022)

Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. - Zhongjie Duan; Cen Chen 001; Dawei Cheng; Yuqi Liang; Weining Qian (CIKM, 2022)

TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. - Moming Tang; Dawei Cheng; Cen Chen 001; Yuqi Liang; Yifeng Luo; Weining Qian (DASFAA (3), 2022)

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. - Ruyao Xu; Dawei Cheng; Cen Chen 001; Siqiang Luo; Yifeng Luo; Weining Qian (DASFAA (3), 2022)

Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. - Mingyuan Fan 003; Yang Liu 118; Cen Chen 001; Shengxing Yu; Wenzhong Guo; Ximeng Liu (ICASSP, 2022)

Iterative Contrastive Learning for Single Image Raindrop Removal. - Xulei Yang; Peisheng Qian; Li Wang 057; Shenghao Zhao; Cen Chen 001; Xiaoli Li 001; Zeng Zeng (ICIP, 2022)

Backdoor Defense with Machine Unlearning. - Yang Liu 118; Mingyuan Fan 003; Cen Chen 001; Ximeng Liu; Zhuo Ma 001; Li Wang 056; Jianfeng Ma 001 (INFOCOM, 2022)

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. - Forrest Sheng Bao; Ge Luo 002; Hebi Li; Minghui Qiu; Yinfei Yang; Youbiao He; Cen Chen 001 (NAACL-HLT, 2022)

Understanding Long Programming Languages with Structure-Aware Sparse Attention. - Tingting Liu; Chengyu Wang 001; Cen Chen 001; Ming Gao 001; Aoying Zhou (SIGIR, 2022)

A Customised Text Privatisation Mechanism with Differential Privacy. - Huimin Chen; Fengran Mo; Cen Chen 001; Jamie Cui; Jian-Yun Nie (CoRR, 2022)

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. - Mingyuan Fan 003; Yang Liu 118; Cen Chen 001; Ximeng Liu; Wenzhong Guo (CoRR, 2022)

MaskBlock: Transferable Adversarial Examples with Bayes Approach. - Mingyuan Fan 003; Cen Chen 001; Ximeng Liu; Wenzhong Guo (CoRR, 2022)

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. - Mingyuan Fan 003; Cen Chen 001; Chengyu Wang 001; Wenmeng Zhou; Jun Huang 007; Ximeng Liu; Wenzhong Guo (CoRR, 2022)

Enhanced gradient learning for deep neural networks. - Ming Yan 007; Jianxi Yang; Cen Chen 001; Joey Tianyi Zhou; Yi Pan 001; Zeng Zeng (IET Image Process., 2022)

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. - Mingyuan Fan 003; Yang Liu 118; Cen Chen 001; Shengxing Yu; Wenzhong Guo; Li Wang 056; Ximeng Liu (IEEE Internet Things J., 2022)

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Jun Zhou 011; Longfei Zheng; Chaochao Chen 001; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (ACM Trans. Intell. Syst. Technol., 2022)

A Customized Text Sanitization Mechanism with Differential Privacy. - Sai Chen; Fengran Mo; Yanhao Wang 001; Cen Chen 001; Jian-Yun Nie; Chengyu Wang 001; Jamie Cui (ACL (Findings), 2023)

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. - Bingyan Liu; Weifeng Lin; Zhongjie Duan; Chengyu Wang 001; Ziheng Wu; Zhang Zipeng; Kui Jia; Lianwen Jin; Cen Chen 001; Jun Huang 007 (ACL (industry), 2023)

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. - Moming Tang; Chengyu Wang 001; Jianing Wang 002; Chuanqi Tan; Songfang Huang; Cen Chen 001; Weining Qian (ACL (Findings), 2023)

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. - Zhenzhen Chu; Chengyu Wang 001; Cen Chen 001; Dawei Cheng; Yuqi Liang; Weining Qian (CIKM, 2023)

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. - Zhongjie Duan; Chengyu Wang 001; Cen Chen 001; Jun Huang 007; Weining Qian (CIKM, 2023)

Online Efficient Secure Logistic Regression based on Function Secret Sharing. - Jing Liu 032; Jamie Cui; Cen Chen 001 (CIKM, 2023)

Robust Clustered Federated Learning. - Tiandi Ye; Senhui Wei; Jamie Cui; Cen Chen 001; Yingnan Fu; Ming Gao 001 (DASFAA (1), 2023)

On the Robustness of Split Learning Against Adversarial Attacks. - Mingyuan Fan 003; Cen Chen 001; Chengyu Wang 001; Wenmeng Zhou; Jun Huang 007 (ECAI, 2023)

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. - Forrest Sheng Bao; Ruixuan Tu; Ge Luo 002; Yinfei Yang; Hebi Li; Minghui Qiu; Youbiao He; Cen Chen 001 (EMNLP (Findings), 2023)

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. - Taolin Zhang 001; Ruyao Xu; Chengyu Wang 001; Zhongjie Duan; Cen Chen 001; Minghui Qiu; Dawei Cheng; Xiaofeng He; Weining Qian (EMNLP, 2023)

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. - Moming Tang; Chengyu Wang 001; Jianing Wang 002; Cen Chen 001; Ming Gao 001; Weining Qian (KSEM (3), 2023)

Communication Efficient Federated Learning via Channel-wise Dynamic Pruning. - Bo Tao; Cen Chen 001; Huimin Chen (WCNC, 2023)

Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. - Zhongjie Duan; Chengyu Wang 001; Cen Chen 001; Wenmeng Zhou; Jun Huang 007; Weining Qian (WWW, 2023)

SLPerf: a Unified Framework for Benchmarking Split Learning. - Tianchen Zhou; Zhanyi Hu; Bingzhe Wu; Cen Chen 001 (CoRR, 2023)

You Can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. - Mingyuan Fan 003; Cen Chen 001; Chengyu Wang 001; Jun Huang 007 (CoRR, 2023)

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. - Jianing Wang 002; Chengyu Wang 001; Cen Chen 001; Ming Gao 001; Jun Huang 007; Aoying Zhou (CoRR, 2023)

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. - Chengyu Wang 001; Zhongjie Duan; Bingyan Liu; Xinyi Zou; Cen Chen 001; Kui Jia; Jun Huang 007 (CoRR, 2023)

Flatness-aware Adversarial Attack. - Mingyuan Fan 003; Xiaodan Li; Cen Chen 001; Yinggui Wang (CoRR, 2023)

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier. - Zhongjie Duan; Chengyu Wang 001; Cen Chen 001; Weining Qian; Jun Huang 007; Mingyi Jin (CoRR, 2023)

Resizing codebook of vector quantization without retraining. - Lei Li 043; Tingting Liu; Chengyu Wang 001; Minghui Qiu; Cen Chen 001; Ming Gao 001; Aoying Zhou (Multim. Syst., 2023)

FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning. - Xinyv Li; Cen Chen 001; Jamie Cui (BIBM, 2024)

SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. - Panjia Qiu; Guanghao Zhou; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Wenming Zhou (CIKM, 2024)

LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. - Guanghao Zhou; Panjia Qiu; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Wenmeng Zhou (CIKM, 2024)

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. - Huimin Chen; Chengyu Wang 001; Yanhao Wang 001; Cen Chen 001; Yinggui Wang (LREC/COLING, 2024)

Privacy Evaluation Benchmarks for NLP Models. - Wei Huang 039; Yinggui Wang; Cen Chen 001 (EMNLP (Findings), 2024)

Sentiment Confidence Separation: A Trust-Optimized Framework for Multimodal Sentiment Classification. - Zemin Tang; Min Shi; Zhibang Yang; Xu Zhou 001; Cen Chen 001; Joey Tianyi Zhou (ICME, 2024)

FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. - Qianyi Zhao; Chen Qu 001; Cen Chen 001; Mingyuan Fan 003; Yanhao Wang 001 (ICPADS, 2024)

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. - Zhongjie Duan; Chengyu Wang 001; Cen Chen 001; Weining Qian; Jun Huang 007 (IJCAI, 2024)

Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. - Yi Yu 010; Shengyue Yao; Tianchen Zhou; Yexuan Fu; Jingru Yu; Ding Wang 001; Xuhong Wang; Cen Chen 001; Yilun Lin 002 (IV, 2024)

DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. - Yiping Wang; Yanhao Wang 001; Cen Chen 001 (KDD, 2024)

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness. - Mingyuan Fan 003; Xiaodan Li; Cen Chen 001; Wenmeng Zhou; Yaliang Li (NeurIPS, 2024)

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. - Zhongjie Duan; Lizhou You; Chengyu Wang 001; Cen Chen 001; Ziheng Wu; Weining Qian; Jun Huang 007 (ECML/PKDD (10), 2024)

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. - Zhenzhen Chu; Jiayu Chen; Cen Chen 001; Chengyu Wang 001; Ziheng Wu; Jun Huang 007; Weining Qian (SDM, 2024)

UPFL: Unsupervised Personalized Federated Learning towards New Clients. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (SDM, 2024)

Approximate Kernel Density Estimation under Metric-based Local Differential Privacy. - Yi Zhou; Yanhao Wang 001; Long Teng; Qiang Huang; Cen Chen 001 (UAI, 2024)

Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. - Mingyuan Fan 003; Yang Liu 118; Cen Chen 001; Chengyu Wang 001; Minghui Qiu; Wenmeng Zhou (WSDM, 2024)

DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report). - Yiping Wang; Yanhao Wang 001; Cen Chen 001 (CoRR, 2024)

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. - Zhongjie Duan; Wenmeng Zhou; Cen Chen 001; Yaliang Li; Weining Qian (CoRR, 2024)

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images. - Mingyuan Fan 003; Yang Liu 118; Cen Chen 001; Ximeng Liu (CoRR, 2024)

EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. - Die Chen; Zhiwen Li; Mingyuan Fan 003; Cen Chen 001; Wenmeng Zhou; Yaliang Li (CoRR, 2024)

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. - Zhongjie Duan; Qianyi Zhao; Cen Chen 001; Daoyuan Chen; Wenmeng Zhou; Yaliang Li; Yingda Chen (CoRR, 2024)

Federated Submodular Maximization With Differential Privacy. - Yanhao Wang 001; Tianchen Zhou; Cen Chen 001; Yinggui Wang (IEEE Internet Things J., 2024)

Predicting stock market trends with self-supervised learning. - Zelin Ying; Dawei Cheng; Cen Chen 001; Xiang Li 067; Peng Zhu; Yifeng Luo; Yuqi Liang (Neurocomputing, 2024)

Accelerating BERT inference with GPU-efficient exit prediction. - Lei Li 043; Chengyu Wang 001; Minghui Qiu; Cen Chen 001; Ming Gao 001; Aoying Zhou (Frontiers Comput. Sci., 2024)

BapFL: You can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (ACM Trans. Knowl. Discov. Data, 2024)

FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. - Zhuan Shi; Lan Zhang 002; Zhenyu Yao; Lingjuan Lyu; Cen Chen 001; Li Wang 056; Junhao Wang; Xiang-Yang Li 001 (IEEE Trans. Big Data, 2024)

LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion. - Guanghao Zhou; Panjia Qiu; Cen Chen 001; Hongyu Li; Jason Chu; Xin Zhang; Jun Zhou 011 (ACL (1), 2025)

SLPerf: A Research Library and Benchmark Framework for Split Learning. - Zhanyi Hu; Tianchen Zhou; Bingzhe Wu; Cen Chen 001; Yanhao Wang 001 (ICDEW, 2025)

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning. - Mingyuan Fan 003; Zhanyi Hu; Fuyi Wang; Cen Chen 001 (ICLR, 2025)

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. - Die Chen; Zhiwen Li; Mingyuan Fan 003; Cen Chen 001; Wenmeng Zhou; Yanhao Wang 001; Yaliang Li (ICLR, 2025)

AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation. - Tianchen Zhou; Zhongjie Duan; Cen Chen 001; Wenmeng Zhou; Yanhao Wang 001; Yaliang Li (ICMR, 2025)

Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. - Zhiwen Li; Die Chen; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Yanhao Wang 001; Wenmeng Zhou (WWW, 2025)

A Review and Experimental Evaluation on Split Learning. - Zhanyi Hu; Tianchen Zhou; Bingzhe Wu; Cen Chen 001; Yanhao Wang 001 (Future Internet, 2025)

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning. - Mingyuan Fan 003; Zhanyi Hu; Fuyi Wang; Cen Chen 001 (CoRR, 2025)

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models. - Guanghao Zhou; Panjia Qiu; Mingyuan Fan 003; Cen Chen 001; Mingyuan Chu; Xin Zhang; Jun Zhou 011 (CoRR, 2025)

Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models. - Die Chen; Zhiwen Li; Cen Chen 001; Xiaodan Li; Jinyan Ye (CoRR, 2025)

Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack. - Mingyuan Fan 003; Cen Chen 001; Chengyu Wang 001; Jun Huang 007 (ACM Trans. Knowl. Discov. Data, 2025)

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models. - Guanghao Zhou; Panjia Qiu; Cen Chen 001; Jie Wang 042; Zheming Yang; Jian Xu; Minghui Qiu (CoRR, 2025)

Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models. - Die Chen; Zhiwen Li; Cen Chen 001; Yuexiang Xie; Xiaodan Li; Jinyan Ye; Yingda Chen; Yaliang Li (CoRR, 2025)

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook. - Mingyuan Fan 003; Chengyu Wang 001; Cen Chen 001; Yang Liu 118; Jun Huang 007 (Int. J. Comput. Vis., 2025)

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation. - Zhiwen Li; Zhongjie Duan; Die Chen; Cen Chen 001; Daoyuan Chen; Yaliang Li; Yingda Chen (CoRR, 2025)

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models. - Die Chen; Zhongjie Duan; Zhiwen Li; Cen Chen 001; Daoyuan Chen; Yaliang Li; Yinda Chen (CoRR, 2025)

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models. - Chuan Li; Qianyi Zhao; Fengran Mo; Cen Chen 001 (CoRR, 2025)