Peisong Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
16
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MemeBQ: Memory Efficient Binary Quantization of LLMs. | Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang, Qinghao Hu |
| 2026 | ACL | FARSS: Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning. | Renxing Chen, Ziwei Xiang, Peisong Wang, Hongjian Fang, Meng Li, Fanhu Zeng, Yanan Zhu, Peipei Yang, Xu-Yao Zhang, Jian Cheng |
| 2026 | ACL | Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models. | Bang Zhang, Ruotian Ma, Qingxuan Jiang, Peisong Wang, Jiaqi Chen, Zheng Xie, Xingyu Chen, Yue Wang, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li |
| 2026 | DATE | APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference. | Peihuan Ni, Zitao Mo, Tielong Liu, Hongli Wen, Zeyu Zhu, Minnan Pei, Junwen Si, Weifan Guan, Peisong Wang, Qinghao Hu, Gang Li, Jian Cheng |
| 2026 | WACV | A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers. | Jiahe Qian, Peisong Wang, Zhengyang Zhuge, Qinghao Hu, Jian Cheng |
| 2025 | ACL | Q-Mamba: Towards more efficient Mamba models via post-training quantization. | Tianqi Chen, Yuanteng Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng |
| 2025 | ACL | EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models. | Yuanteng Chen, Yuantian Shao, Peisong Wang, Jian Cheng |
| 2025 | ACL | RQT: Hierarchical Residual Quantization for Multi-Model Compression. | Tianqi Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng |
| 2025 | ACL | S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning. | Ruotian Ma, Peisong Wang, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li |
| 2025 | EMNLP | LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning. | Zhangming Li, Qinghao Hu, Yiqun Chen, Peisong Wang, Yifan Zhang, Jian Cheng |
| 2025 | ICML | FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing. | Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang |
| 2025 | MICRO | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. | Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng |
| 2024 | AAAI | Patch-Aware Sample Selection for Efficient Masked Image Modeling. | Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng |
| 2024 | ASPLOS | FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. | Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng |
| 2024 | ICML | Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. | Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng |
| 2024 | IJCAI | 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 |
| 2024 | KDD | ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. | Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li |
| 2024 | WSC | Data-Driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems. | Feixue Liu, Yuqing Miao, Yun Ye, Peisong Wang, Xinglu Liu, Kai Zhang, Wai Kin Chan |
| 2022 | AAAI | DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. | Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng |
| 2022 | AAAI | Towards Fully Sparse Training: Information Restoration with Spatial Similarity. | Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng |
| 2022 | CVPR | Differentially Private Federated Learning with Local Regularization and Sparsification. | Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng |
| 2022 | ECCV | 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 Prez-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 Marn-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Rttger, Furkan Kinli, Baris zcan, Furkan Kira, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung |
| 2022 | ECCV | RISPNet: A Network for Reversed Image Signal Processing. | Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng |
| 2022 | ECCV | CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. | Xiaoran Qin, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng |
| 2021 | CVPR | Generative Zero-Shot Network Quantization. | Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng |
| 2021 | ICCV | Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. | Weihan Chen, Peisong Wang, Jian Cheng |
| 2021 | ICIG | Towards Binarized MobileNet via Structured Sparsity. | Zhenmeng Zuo, Zhexin Li, Peisong Wang, Weihan Chen, Jian Cheng |
| 2020 | AAAI | Sparsity-Inducing Binarized Neural Networks. | Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng |
| 2020 | BMVC | Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. | Weihan Chen, Peisong Wang, Jian Cheng |
| 2020 | DATE | Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. | Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng |
| 2020 | ECCV | ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. | Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng |
| 2020 | ICML | Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. | Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng |
| 2020 | IJCAI | Soft Threshold Ternary Networks. | Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng |
| 2019 | CVPR | ODE-Inspired Network Design for Single Image Super-Resolution. | Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng |
| 2019 | CVPR | K-Nearest Neighbors Hashing. | Xiangyu He, Peisong Wang, Jian Cheng |
| 2019 | IJCAI | Reading selectively via Binary Input Gated Recurrent Unit. | Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng |
| 2018 | AAAI | From Hashing to CNNs: Training Binary Weight Networks via Hashing. | Qinghao Hu, Peisong Wang, Jian Cheng |
| 2018 | CVPR | Two-Step Quantization for Low-Bit Neural Networks. | Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng |
| 2018 | ECCV | Training Binary Weight Networks via Semi-Binary Decomposition. | Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng |
| 2017 | CVPR | Fixed-Point Factorized Networks. | Peisong Wang, Jian Cheng |