Chen, Peng

41 publications

ICLR 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

IJCAI 2025 Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan, Xin Du, Ruijun Deng

ICCV 2025 CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games Peng Chen, Pi Bu, Yingyao Wang, Xinyi Wang, Ziming Wang, Jie Guo, Yingxiu Zhao, Qi Zhu, Jun Song, Siran Yang, Jiamang Wang, Bo Zheng

IJCAI 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang

ICCV 2025 GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting Xiaobao Wei, Peng Chen, Guangyu Li, Ming Lu, Hui Chen, Feng Tian

ICLR 2025 GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

AAAI 2025 GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians Xiaobao Wei, Peng Chen, Ming Lu, Hui Chen, Feng Tian

ICLR 2025 Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data Phillip Si, Peng Chen

NeurIPS 2025 Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems Deliang Wei, Peng Chen, Haobo Xu, Jiale Yao, Fang Li, Tieyong Zeng

ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

WACV 2025 Multi-Modal Large Language Models Are Effective Vision Learners Li Sun, Chaitanya Ahuja, Peng Chen, Matt D'Zmura, Kayhan Batmanghelich, Philip Bontrager

NeurIPS 2025 PDPO: Parametric Density Path Optimization Sebastian Gutierrez Hernandez, Peng Chen, Hao-Min Zhou

NeurIPS 2025 Robustifying Learning-Augmented Caching Efficiently Without Compromising 1-Consistency Peng Chen, Hailiang Zhao, Jiaji Zhang, Xueyan Tang, Yixuan Wang, Shuiguang Deng

NeurIPS 2025 SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation Enzhi Zhang, Peng Chen, Rui Zhong, Du Wu, Jun Igarashi, Isaac Lyngaas, Xiao Wang, Masaharu Munetomo, Mohamed Wahib

JMLR 2025 Simplex Constrained Sparse Optimization via Tail Screening Peng Chen, Jin Zhu, Junxian Zhu, Xueqin Wang

ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

IJCAI 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou

CVPR 2024 AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

NeurIPSW 2024 Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case Peng Chen, Pi Bu, Jun Song, Yuan Gao, Bo Zheng

NeurIPS 2024 Derivative-Enhanced Deep Operator Network Yuan Qiu, Nolan Bridges, Peng Chen

ICML 2024 Learning Pseudo-Contractive Denoisers for Inverse Problems Deliang Wei, Peng Chen, Fang Li

NeurIPS 2024 Learning-Augmented Algorithms for the Bahncard Problem Hailiang Zhao, Xueyan Tang, Peng Chen, Shuiguang Deng

NeurIPS 2024 LiT: Unifying LiDAR "Languages" with LiDAR Translator Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao

ICLR 2024 Pathformer: Multi-Scale Transformers with Adaptive Pathways for Time Series Forecasting Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

ECCV 2024 Real Appearance Modeling for More General Deepfake Detection Jiahe Tian, Cai Yu, Xi Wang, Peng Chen, Zihao Xiao, Jiao Dai, Yesheng Chai, Jizhong Han

MLOSS 2024 Skscope: Fast Sparsity-Constrained Optimization in Python Zezhi Wang, Junxian Zhu, Xueqin Wang, Jin Zhu, Huiyang Pen, Peng Chen, Anran Wang, Xiaoke Zhang

IJCAI 2024 Task-Agnostic Self-Distillation for Few-Shot Action Recognition Bin Zhang, Yuanjie Dang, Peng Chen, Ronghua Liang, Nan Gao, Ruohong Huan, Xiaofei He

CVPR 2023 BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

CVPRW 2023 Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang

NeurIPS 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

ICMLW 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

CVPR 2021 AQD: Towards Accurate Quantized Object Detection Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen

ICLR 2021 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp

ICCV 2021 FATNN: Fast and Accurate Ternary Neural Networks Peng Chen, Bohan Zhuang, Chunhua Shen

AAAI 2021 Locate Globally, Segment Locally: A Progressive Architecture with Knowledge Review Network for Salient Object Detection Binwei Xu, Haoran Liang, Ronghua Liang, Peng Chen

AAAI 2021 SA-BNN: State-Aware Binary Neural Network Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding

NeurIPS 2020 Projected Stein Variational Gradient Descent Peng Chen, Omar Ghattas

IJCAI 2019 Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun

ICCVW 2019 Learning Deep Features for Giant Panda Gender Classification Using Face Images Hongnian Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang, Weiyi Xie

NeurIPS 2019 Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions Peng Chen, Keyi Wu, Joshua Chen, Tom O'Leary-Roseberry, Omar Ghattas

AAAI 2017 Building Task-Oriented Dialogue Systems for Online Shopping Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li