Wang, Peisong

29 publications

ICLR 2026 RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents Peisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Cixing Li, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Jia Li, Zhaopeng Tu, Xiaolong Li

NeurIPS 2025 DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization Yuantian Shao, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, Yiwu Yao, Zhihui Wei, Jian Cheng

ICML 2025 FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang

NeurIPS 2025 SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning Jiaqi Chen, Bang Zhang, Ruotian Ma, Peisong Wang, Xiaodan Liang, Zhaopeng Tu, Xiaolong Li, Kwan-Yee K. Wong

IJCAI 2024 A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu

NeurIPS 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li

AAAI 2024 Patch-Aware Sample Selection for Efficient Masked Image Modeling Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng

ICML 2024 Towards Efficient Spiking Transformer: A Token Sparsification Framework for Training and Inference Acceleration Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng

NeurIPS 2023 Towards Efficient and Accurate Winograd Convolution via Full Quantization Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng

ECCVW 2022 CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution Xiaoran Qin, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng

AAAI 2022 DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng

CVPR 2022 Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng

ECCVW 2022 RISPNet: A Network for Reversed Image Signal Processing Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng

ECCVW 2022 Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung

AAAI 2022 Towards Fully Sparse Training: Information Restoration with Spatial Similarity Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng

CVPRW 2021 Generative Zero-Shot Network Quantization Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng

ICCV 2021 Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen, Peisong Wang, Jian Cheng

ECCV 2020 ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng

IJCAI 2020 Soft Threshold Ternary Networks Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng

AAAI 2020 Sparsity-Inducing Binarized Neural Networks Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng

ICML 2020 Towards Accurate Post-Training Network Quantization via Bit-Split and Stitching Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng

ICCVW 2019 A System-Level Solution for Low-Power Object Detection Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng

CVPR 2019 K-Nearest Neighbors Hashing Xiangyu He, Peisong Wang, Jian Cheng

CVPR 2019 ODE-Inspired Network Design for Single Image Super-Resolution Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng

IJCAI 2019 Reading Selectively via Binary Input Gated Recurrent Unit Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng

AAAI 2018 From Hashing to CNNs: Training Binary Weight Networks via Hashing Qinghao Hu, Peisong Wang, Jian Cheng

ECCV 2018 Training Binary Weight Networks via Semi-Binary Decomposition Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng

CVPR 2018 Two-Step Quantization for Low-Bit Neural Networks Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng

CVPR 2017 Fixed-Point Factorized Networks Peisong Wang, Jian Cheng