Deng, Yue

18 publications

ICCV 2025 DPoser-X: Diffusion Model as Robust 3D Whole-Body Human Pose Prior Junzhe Lu, Jing Lin, Hongkun Dou, Ailing Zeng, Yue Deng, Xian Liu, Zhongang Cai, Lei Yang, Yulun Zhang, Haoqian Wang, Ziwei Liu

ICLR 2025 Hybrid Regularization Improves Diffusion-Based Inverse Problem Solving Hongkun Dou, Zeyu Li, Jinyang Du, Lijun Yang, Wen Yao, Yue Deng

NeurIPS 2025 IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector Zheng Chen, Yushi Feng, Jisheng Dang, Changyang He, Yue Deng, Hongxi Pu, Haoxuan Li, Bo Li

ICLR 2025 Physics-Aligned Field Reconstruction with Diffusion Bridge Zeyu Li, Hongkun Dou, Shen Fang, Wang Han, Yue Deng, Lijun Yang

NeurIPS 2025 Progress Reward Model for Reinforcement Learning via Large Language Models Xiuhui Zhang, Ning Gao, Xingyu Jiang, Yihui Chen, Yuheng Pan, Mohan Zhang, Yue Deng

NeurIPS 2025 RF-Agent: Automated Reward Function Design via Language Agent Tree Search Ning Gao, Xiuhui Zhang, Xingyu Jiang, Mukang You, Mohan Zhang, Yue Deng

ICLR 2025 Value-Aligned Behavior Cloning for Offline Reinforcement Learning via Bi-Level Optimization Xingyu Jiang, Ning Gao, Xiuhui Zhang, Hongkun Dou, Yue Deng

ECCV 2024 Efficient Frequency-Domain Image Deraining with Contrastive Regularization Ning Gao, Xingyu Jiang, Xiuhui Zhang, Yue Deng

IJCAI 2024 Improving Multi-Agent Reinforcement Learning with Stable Prefix Policy Yue Deng, Zirui Wang, Yin Zhang

ICLR 2024 Multilingual Jailbreak Challenges in Large Language Models Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

NeurIPS 2024 Parallelizing Model-Based Reinforcement Learning over the Sequence Length ZiRui Wang, Yue Deng, Junfeng Long, Yin Zhang

ECCV 2024 When Fast Fourier Transform Meets Transformer for Image Restoration Xingyu Jiang, Xiuhui Zhang, Ning Gao, Yue Deng

JMLR 2023 Boosting Multi-Agent Reinforcement Learning via Contextual Prompting Yue Deng, Zirui Wang, Xi Chen, Yin Zhang

NeurIPS 2023 Task-Aware World Model Learning with Meta Weighting via Bi-Level Optimization Huining Yuan, Hongkun Dou, Xingyu Jiang, Yue Deng

ECCV 2022 Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting Xingyu Jiang, Hongkun Dou, Chengwei Fu, Bingquan Dai, Tianrun Xu, Yue Deng

IJCAI 2019 Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction Yue Deng, Yilin Shen, Hongxia Jin

IJCAI 2018 Adversarial Active Learning for Sequences Labeling and Generation Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin

IJCAI 2017 Disguise Adversarial Networks for Click-Through Rate Prediction Yue Deng, Yilin Shen, Hongxia Jin