Jiang, Peng

24 publications

AAAI 2025 D&M: Enriching E-Commerce Videos with Sound Effects by Key Moment Detection and SFX Matching Jingyu Liu, Minquan Wang, Ye Ma, Bo Wang, Aozhu Chen, Quan Chen, Peng Jiang, Xirong Li
IJCAI 2025 Generic Adversarial Attack Framework Against Vertical Federated Learning Yimin Liu, Peng Jiang
AAAI 2025 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
AAAI 2025 LLM-Powered User Simulator for Recommender System Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
ICML 2025 Learning Cascade Ranking as One Network Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai
ICML 2025 Learning Monotonic Probabilities with a Generative Cost Model Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Chenchen Jiao, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang
AAAI 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang
ICCV 2025 Music Grounding by Short Video Zijie Xin, Minquan Wang, Jingyu Liu, Quan Chen, Ye Ma, Peng Jiang, Xirong Li
ICML 2025 Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng
NeurIPS 2025 Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation Wei Yang, Rui Zhong, Yiqun Chen, Chi Lu, Peng Jiang
ICCV 2025 SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization Zhentao Tan, Ben Xue, Jian Jia, Junhao Wang, Wencai Ye, Shaoyun Shi, Mingjie Sun, Wenjin Wu, Quan Chen, Peng Jiang
CVPRW 2025 XYScanNet: A State Space Model for Single Image Deblurring Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu
ECCVW 2024 LLaMAPed: Multi-Modal Pedestrian Crossing Intention Prediction Je-Seok Ham, Sunghun Kim, Jia Huang, Peng Jiang, Jinyoung Moon, Srikanth Saripalli, Changick Kim
NeurIPSW 2024 OmniPredict: GPT-4o Enhanced Multi-Modal Pedestrian Crossing Intention Prediction Je-Seok Ham, Jia Huang, Peng Jiang, Jinyoung Moon, Yongjin Kwon, Srikanth Saripalli, Changick Kim
NeurIPS 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
ICLR 2023 ResAct: Reinforcing Long-Term Engagement in Sequential Recommendation with Residual Actor Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
NeurIPS 2023 State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
NeurIPS 2022 Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training Peng Jiang, Lihan Hu, Shihui Song
AAAI 2022 GALAXY: A Generative Pre-Trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li
ICCV 2021 Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu, Anthony G. Cohn
NeurIPS 2018 A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication Peng Jiang, Gagan Agrawal
NeurIPS 2018 DifNet: Semantic Segmentation by Diffusion Networks Peng Jiang, Fanglin Gu, Yunhai Wang, Changhe Tu, Baoquan Chen
ICCV 2015 Generic Promotion of Diffusion-Based Salient Object Detection Peng Jiang, Nuno Vasconcelos, Jingliang Peng
ICCV 2013 Salient Region Detection by UFO: Uniqueness, Focusness and Objectness Peng Jiang, Haibin Ling, Jingyi Yu, Jingliang Peng