Liu, Peng

31 publications

TMLR 2026 High-Layer Attention Pruning with Rescaling Songtao Liu, Peng Liu

ICCV 2025 Enpowering Your Pansharpening Models with Generalizability: Unified Distribution Is All You Need Yongchuan Cui, Peng Liu, Hui Zhang

AAAI 2025 Explainable Neural Networks with Guarantee: A Sparse Estimation Approach Antoine Ledent, Peng Liu

ICLR 2025 RFWave: Multi-Band Rectified Flow for Audio Waveform Reconstruction Peng Liu, Dongyang Dai, Zhiyong Wu

AAAI 2025 Radiology Report Generation via Multi-Objective Preference Optimization Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai

AAAI 2025 Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang

AAAI 2025 SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu

AAAI 2025 VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong

CVPR 2024 AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement Shiwei Jin, Zhen Wang, Lei Wang, Peng Liu, Ning Bi, Truong Nguyen

AAAI 2024 EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration Zicheng Cai, Lei Chen, Peng Liu, Tongtao Ling, Yutao Lai

AAAI 2024 How to Evaluate the Generalization of Detection? a Benchmark for Comprehensive Open-Vocabulary Detection Yiyang Yao, Peng Liu, Tiancheng Zhao, Qianqian Zhang, Jiajia Liao, Chunxin Fang, Kyusong Lee, Qing Wang

ICLR 2024 Latent Trajectory Learning for Limited Timestamps Under Distribution Shift over Time Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang

AAAI 2024 Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5g gNB Shengheng Liu, Xingkang Li, Zihuan Mao, Peng Liu, Yongming Huang

NeurIPS 2024 PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro

ICML 2024 Preference Optimization for Molecule Synthesis with Conditional Residual Energy-Based Models Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu

AAAI 2024 Robust Visual Imitation Learning with Inverse Dynamics Representations Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma

IJCAI 2024 Zero-Shot High-Fidelity and Pose-Controllable Character Animation Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang

IJCAI 2023 Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants Peng Liu, Haowei Wang, Wei Qiyu

ICML 2023 Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li

IJCAI 2023 Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery Yanhao Zhang, Fanyi Wang, Weixuan Sun, Jingwen Su, Peng Liu, Yaqian Li, Xinjie Feng, Zhengxia Zou

CVPRW 2023 Multi-Level Dispersion Residual Network for Efficient Image Super-Resolution Yanyu Mao, Nihao Zhang, Qian Wang, Bendu Bai, Wanying Bai, Haonan Fang, Peng Liu, Mingyue Li, Shengbo Yan

ICLR 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

AAAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

NeurIPS 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

ICML 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

MLJ 2019 Dynamic Attention-Integrated Neural Network for Session-Based News Recommendation Lemei Zhang, Peng Liu, Jon Atle Gulla

WACV 2019 Multi-Modality Empowered Network for Facial Action Unit Detection Peng Liu, Zheng Zhang, Huiyuan Yang, Lijun Yin

AISTATS 2019 Multitask Metric Learning: Theory and Algorithm Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau

ECML-PKDD 2018 Learning Multi-Granularity Dynamic Network Representations for Social Recommendation Peng Liu, Lemei Zhang, Jon Atle Gulla

CVPR 2016 Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis Zheng Zhang, Jeff M. Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andy Horowitz, Huiyuan Yang, Jeffrey F. Cohn, Qiang Ji, Lijun Yin

CVPRW 2011 Using Eye Gaze, Head Pose, and Facial Expression for Personalized Non-Player Character Interaction Michael Reale, Peng Liu, Lijun Yin