| 2026 | AAAI | FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning. | Zhanyi Hu, Cen Chen, Yanhao Wang |
| 2026 | AAAI | RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. | Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2026 | ACL | MedCoach: Enhancing Medical Reasoning in LLMs via Knowledge Graph-Augmented Chain-of-Thought Distillation. | Chuan Li, Ye Lyu, Chengyu Wang, Mingyuan Fan, Cen Chen |
| 2026 | ACL | MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning. | Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen |
| 2026 | EuroSys | PointShuffler: Accelerating Point Cloud Neural Networks on General-Purpose GPUs. | Yangfan Li, Zhengjie Jin, Yue Tian, Mengquan Li, Fengxiao Tang, Ming Zhao, Cen Chen |
| 2025 | ACL | SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. | Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | ACL | PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. | Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen |
| 2025 | ACL | GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. | Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan |
| 2025 | ACL | LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion. | Guanghao Zhou, Panjia Qiu, Cen Chen, Hongyu Li, Jason Chu, Xin Zhang, Jun Zhou |
| 2025 | AsiaCCS | Transferable Adversarial Examples with Bayesian Approach. | Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yinggui Wang |
| 2025 | CIKM | AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. | Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang |
| 2025 | CIKM | CSMD: Curated Multimodal Dataset for Chinese Stock Analysis. | Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen |
| 2025 | CIKM | Densest Subgraph Discovery on Decentralized Graphs with Local Edge Differential Privacy. | Wenping Tong, Yi Zhou, Yanhao Wang, Cen Chen, Minghao Zhao |
| 2025 | CIKM | Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. | Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao |
| 2025 | ECAI | Paeformer: Patch-Wise Representation Learning with Autoencoder for Multivariate Time Series Forecasting. | Kun Liu, Zhongjie Duan, Cen Chen |
| 2025 | EMNLP | RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. | Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | ICDE | SLPerf: A Research Library and Benchmark Framework for Split Learning. | Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang |
| 2025 | ICLR | Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning. | Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen |
| 2025 | ICLR | Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. | Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li |
| 2025 | ICML | Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. | Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang |
| 2025 | ICML | L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. | Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang |
| 2025 | IJCAI | FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending. | Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin |
| 2025 | IJCAI | ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. | Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen |
| 2025 | IJCAI | TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs. | Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li |
| 2025 | IJCAI | GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum. | Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li |
| 2025 | IJCAI | Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning. | Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen |
| 2025 | WWW | Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. | Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou |
| 2024 | AAAI | ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. | Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen |
| 2024 | AAAI | DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. | Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin |
| 2024 | ACL | PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. | Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang |
| 2024 | CIKM | SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. | Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou |
| 2024 | CIKM | LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. | Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou |
| 2024 | COLING | TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. | Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang |
| 2024 | EMNLP | Privacy Evaluation Benchmarks for NLP Models. | Wei Huang, Yinggui Wang, Cen Chen |
| 2024 | ICPADS | FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. | Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang |
| 2024 | IJCAI | Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. | Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang |
| 2024 | ISPA | Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations. | Sijin Chen, Jing Liu, Cen Chen, Songyu Xie, Zhongyao Cheng |
| 2024 | KDD | DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. | Yiping Wang, Yanhao Wang, Cen Chen |
| 2024 | UAI | Approximate Kernel Density Estimation under Metric-based Local Differential Privacy. | Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, Cen Chen |
| 2024 | WSDM | Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. | Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou |
| 2024 | SDM | DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. | Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian |
| 2024 | SDM | UPFL: Unsupervised Personalized Federated Learning towards New Clients. | Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao |
| 2023 | ACL | A Customized Text Sanitization Mechanism with Differential Privacy. | Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui |
| 2023 | ACL | Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. | Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang |
| 2023 | ACL | XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. | Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian |
| 2023 | CIKM | Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. | Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian |
| 2023 | CIKM | Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. | Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian |
| 2023 | CIKM | Online Efficient Secure Logistic Regression based on Function Secret Sharing. | Jing Liu, Jamie Cui, Cen Chen |
| 2023 | DASFAA | Robust Clustered Federated Learning. | Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao |
| 2023 | ECAI | On the Robustness of Split Learning Against Adversarial Attacks. | Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang |
| 2023 | EMNLP | DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. | Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen |
| 2023 | EMNLP | Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. | Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian |
| 2023 | ICCV | CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. | Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan |
| 2023 | ICIP | COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. | Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang |
| 2023 | ICPADS | Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos. | Songyu Xie, Jing Liu, Cen Chen, Zhongyao Cheng |
| 2023 | KSEM | ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. | Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian |
| 2023 | MICRO | Point Cloud Acceleration by Exploiting Geometric Similarity. | Cen Chen, Xiaofeng Zou, Hongen Shao, Yangfan Li, Kenli Li |
| 2023 | WCNC | Communication Efficient Federated Learning via Channel-wise Dynamic Pruning. | Bo Tao, Cen Chen, Huimin Chen |
| 2023 | WWW | Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. | Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian |
| 2022 | CIKM | Learning to Generalize in Heterogeneous Federated Networks. | Cen Chen, Tiandi Ye, Li Wang, Ming Gao |
| 2022 | CIKM | Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. | Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian |
| 2022 | DASFAA | TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. | Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian |
| 2022 | DASFAA | Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. | Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian |
| 2022 | HPCA | ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator. | Cen Chen, Kenli Li, Yangfan Li, Xiaofeng Zou |
| 2022 | ICASSP | Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. | Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu |
| 2022 | ICIP | Iterative Contrastive Learning for Single Image Raindrop Removal. | Xulei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng |
| 2022 | INFOCOM | Backdoor Defense with Machine Unlearning. | Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma |
| 2022 | NAACL | SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. | Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen |
| 2022 | SIGIR | Understanding Long Programming Languages with Structure-Aware Sparse Attention. | Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou |
| 2022 | UIC | Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks. | Yuxuan Chen, Yilong Guo, Zeng Zeng, Xiaofeng Zou, Yangfan Li, Cen Chen |
| 2022 | UIC | Contrastive R-CNN for Incremental Learning in Object Detection. | Peisheng Qian, Kai Zheng, Cen Chen, Zhongyao Cheng, Li Wang, Hui Li Tan |
| 2022 | SERVICES | Latency-driven Model Placement for Efficient Edge Intelligence Service. | Peiying Lin, Zhichen Shi, Zheng Xiao, Cen Chen, Kenli Li |
| 2021 | AAAI | Reinforced History Backtracking for Conversational Question Answering. | Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang |
| 2021 | CIKM | Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. | Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang |
| 2021 | CIKM | EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. | Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin |
| 2021 | DAC | DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks. | Cen Chen, Kenli Li, Xiaofeng Zou, Yangfan Li |
| 2021 | DASFAA | CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. | Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang |
| 2021 | ECIR | Weakly-Supervised Open-Retrieval Conversational Question Answering. | Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer |
| 2021 | ICASSP | Privacy-Preserving Optimal Insulin Dosing Decision. | Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang |
| 2021 | ICIP | Systematic Analysis of Circular Artifacts for Stylegan. | Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, Xulei Yang |
| 2021 | WWW | Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. | Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li |
| 2021 | RTAS | Work in Progress: Topology-based Multilevel Algorithm for Large-scale Task Scheduling in Clouds. | Minjia Li, Yikun Hu, Cen Chen, Zheng Xiao, Chubo Liu, Kenli Li |
| 2021 | RTAS | Work in Progress: Path-based Graph Partition for Parallel Hardware-accelerated Functional Verification. | Peiying Lin, Kenli Li, Zheng Xiao, Cen Chen, Siyang Yu |
| 2020 | AAAI | Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. | Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou |
| 2020 | CIKM | Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. | Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang |
| 2020 | CIKM | aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. | Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao |
| 2020 | HPCC | A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications. | Wei Hu, Chongwei Zheng, Yonghao Wang, Jing Liu, Cen Chen, Zeng Zeng |
| 2020 | HPCC | Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm. | Wei Hu, Chongwei Zheng, Yonghao Wang, Jin Zhang, Cen Chen, Zeng Zeng |
| 2020 | HPCC | A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems. | Jing Liu, Yifu Zhang, Yang Liu, Pei Yang, Cen Chen, Ziqi Zhu, Zeng Zeng |
| 2020 | HPCC | An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. | Pei Yang, Jing Liu, Cen Chen, Yucheng Ding, Chunhua Deng, Zeng Zeng |
| 2020 | ICIP | Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation. | Xulei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen, Yi Su |
| 2020 | WWW | IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. | Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen |
| 2020 | WWW | Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. | Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou |
| 2020 | SIGIR | Open-Retrieval Conversational Question Answering. | Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer |
| 2019 | AAAI | Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. | Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng |
| 2019 | CIKM | Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. | Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao |
| 2019 | CIKM | Attentive History Selection for Conversational Question Answering. | Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer |
| 2019 | HPCC | LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks. | Chengxi Liu, Kenli Li, Jing Liu, Cen Chen |
| 2019 | IJCAI | AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. | Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li |
| 2019 | NSS | A Novel Approach for Traffic Anomaly Detection in Power Distributed Control System and Substation System. | Li Zhang, Zhuo Lv, Xuesong Zhang, Cen Chen, Nuannuan Li, Yidong Li, Wei Wang |
| 2019 | WWW | Multi-Domain Gated CNN for Review Helpfulness Prediction. | Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao |
| 2019 | SIGIR | Reinforcement Learning for User Intent Prediction in Customer Service Bots. | Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao |
| 2018 | ICDM | Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. | Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng |
| 2018 | NAACL | Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. | Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao |
| 2018 | PAKDD | A Local Online Learning Approach for Non-linear Data. | Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li |
| 2017 | AAAI | Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. | Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau |
| 2017 | EACL | Aspect Extraction from Product Reviews Using Category Hierarchy Information. | Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao |
| 2017 | ICDCS | DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. | Wei Ai, Kenli Li, Cen Chen, Jiwu Peng, Keqin Li |
| 2017 | ICNC | A parallel randomized neural network on in-memory cluster computing for big data. | Tongwu Dai, Kenli Li, Cen Chen |
| 2017 | WWW | Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. | Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu |
| 2016 | CSCW | Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. | Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta |
| 2016 | ICNC | Iterative sparse matrix-vector multiplication on in-memory cluster computing accelerated by GPUs for big data. | Jiwu Peng, Zheng Xiao, Cen Chen, Wangdong Yang |
| 2016 | ICPP | GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. | Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li |
| 2016 | ICTAI | Aspect-Based Helpfulness Prediction for Online Product Reviews. | Yinfei Yang, Cen Chen, Forrest Sheng Bao |
| 2015 | GLOBECOM | Design and Demonstration of SDN-Based Flexible Flow Converging with Protocol-Oblivious Forwarding (POF). | Daoyun Hu, Shengru Li, Nana Xue, Cen Chen, Shoujiang Ma, Wenjian Fang, Zuqing Zhu |
| 2015 | IJCAI | Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. | Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra |
| 2014 | HCOMP | TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing. | Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, Deepthi Chander |