Chen, Cen

27 publications

ICLR 2026 Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling Kun Liu, Renjun Jia, Ruifeng Yang, Xirui Zeng, Yuqi Liang, Cen Chen

ICLR 2026 AttriCtrl: A Generalizable Framework for Controlling Semantic Attribute Intensity in Diffusion Models Die Chen, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yinda Chen

ICLR 2026 NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection Panjia Qiu, Mingyuan Fan, Cen Chen, Daixin Wang

ICLR 2025 Bad-PFL: Exploiting Backdoor Attacks Against Personalized Federated Learning Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

NeurIPS 2025 Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models Die Chen, Zhiwen Li, Cen Chen, Yuexiang Xie, Xiaodan Li, Jinyan Ye, Yingda Chen, Yaliang Li

IJCAI 2025 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

IJCAI 2025 ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen

IJCAI 2025 FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin

IJCAI 2025 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

ICLR 2025 Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li

ICML 2025 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

ICML 2025 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

IJCAI 2025 TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li

UAI 2024 Approximate Kernel Density Estimation Under Metric-Based Local Differential Privacy Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, Cen Chen

AAAI 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen

AAAI 2024 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

ECML-PKDD 2024 DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang

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

NeurIPS 2024 F-OAL: Forward-Only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

NeurIPS 2024 Transferability Bound Theory: Exploring Relationship Between Adversarial Transferability and Flatness Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li

ICCV 2023 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

AAAI 2021 Reinforced History Backtracking for Conversational Question Answering Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang

AAAI 2020 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

IJCAI 2019 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

AAAI 2019 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng

IJCAI 2015 Towards City-Scale Mobile Crowdsourcing: Task Recommendations Under Trajectory Uncertainties Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra