Accelerating Convolutional Neural Networks for Mobile Applications. - Peisong Wang; Jian Cheng 001 (ACM Multimedia, 2016)

Sequentially Supervised Long Short-Term Memory for Gesture Recognition. - Peisong Wang; Qiang Song; Hua Han 001; Jian Cheng 001 (Cogn. Comput., 2016)

Fixed-Point Factorized Networks. - Peisong Wang; Jian Cheng 001 (CVPR, 2017)

From Hashing to CNNs: Training Binary Weight Networks via Hashing. - Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (AAAI, 2018)

Two-Step Quantization for Low-Bit Neural Networks. - Peisong Wang; Qinghao Hu 001; Yifan Zhang 001; Chunjie Zhang; Yang Liu 021; Jian Cheng 001 (CVPR, 2018)

Training Binary Weight Networks via Semi-Binary Decomposition. - Qinghao Hu 001; Gang Li 015; Peisong Wang; Yifan Zhang 001; Jian Cheng 001 (ECCV (13), 2018)

From Hashing to CNNs: Training BinaryWeight Networks via Hashing. - Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (CoRR, 2018)

Recent advances in efficient computation of deep convolutional neural networks. - Jian Cheng 001; Peisong Wang; Gang Li 015; Qinghao Hu 001; Hanqing Lu (Frontiers Inf. Technol. Electron. Eng., 2018)

DeepSearch: A Fast Image Search Framework for Mobile Devices. - Peisong Wang; Qinghao Hu 001; Zhiwei Fang; Chaoyang Zhao; Jian Cheng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2018)

ODE-Inspired Network Design for Single Image Super-Resolution. - Xiangyu He; Zitao Mo; Peisong Wang; Yang Liu 021; Mingyuan Yang; Jian Cheng 001 (CVPR, 2019)

K-Nearest Neighbors Hashing. - Xiangyu He; Peisong Wang; Jian Cheng 001 (CVPR, 2019)

A System-Level Solution for Low-Power Object Detection. - Fanrong Li; Yang Zhang; Jian Cheng 001; Zitao Mo; Peisong Wang; Zejian Liu; Jiayun Zhang; Gang Li 015; Qinghao Hu 001; Xiangyu He; Cong Leng (ICCV Workshops, 2019)

Reading selectively via Binary Input Gated Recurrent Unit. - Zhe Li; Peisong Wang; Hanqing Lu; Jian Cheng 001 (IJCAI, 2019)

Location-aware Upsampling for Semantic Segmentation. - Xiangyu He; Zitao Mo; Qiang Chen 007; Anda Cheng; Peisong Wang; Jian Cheng 001 (CoRR, 2019)

Feature Distilled Tracking. - Guibo Zhu; Jinqiao Wang; Peisong Wang; Yi Wu 001; Hanqing Lu (IEEE Trans. Cybern., 2019)

Sparsity-Inducing Binarized Neural Networks. - Peisong Wang; Xiangyu He; Gang Li 015; Tianli Zhao; Jian Cheng 001 (AAAI, 2020)

Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. - Weihan Chen; Peisong Wang; Jian Cheng 001 (BMVC, 2020)

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. - Gang Li 015; Peisong Wang; Zejian Liu; Cong Leng; Jian Cheng 001 (DATE, 2020)

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. - Xiangyu He; Zitao Mo; Ke Cheng 002; Weixiang Xu; Qinghao Hu 001; Peisong Wang; Qingshan Liu 001; Jian Cheng 001 (ECCV (3), 2020)

Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. - Peisong Wang; Qiang Chen 007; Xiangyu He; Jian Cheng 001 (ICML, 2020)

Soft Threshold Ternary Networks. - Weixiang Xu; Xiangyu He; Tianli Zhao; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (IJCAI, 2020)

Robust one-stage object detection with location-aware classifiers. - Qiang Chen 007; Peisong Wang; Anda Cheng; Wanguo Wang; Yifan Zhang 001; Jian Cheng 001 (Pattern Recognit., 2020)

Fuzzy Removing Redundancy Restricted Boltzmann Machine: Improving Learning Speed and Classification Accuracy. - Xueqin Lü; Lingzheng Meng; Chao Chen; Peisong Wang (IEEE Trans. Fuzzy Syst., 2020)

Generative Zero-Shot Network Quantization. - Xiangyu He; Jiahao Lu; Weixiang Xu; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (CVPR Workshops, 2021)

Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. - Weihan Chen; Peisong Wang; Jian Cheng 001 (ICCV, 2021)

Towards Binarized MobileNet via Structured Sparsity. - Zhenmeng Zuo; Zhexin Li; Peisong Wang; Weihan Chen; Jian Cheng 001 (ICIG (1), 2021)

More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering. - Zili Liu; Peisong Wang; Zaixing Li (ICME, 2021)

Generative Zero-shot Network Quantization. - Xiangyu He; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (CoRR, 2021)

Improving Binary Neural Networks through Fully Utilizing Latent Weights. - Weixiang Xu; Qiang Chen 007; Xiangyu He; Peisong Wang; Jian Cheng 001 (CoRR, 2021)

Analyses and Optimization of Electrostatic Film Actuators Considering Electrical Breakdown. - Yang Qu; Peisong Wang; Wenguang Wang; Hongqiang Wang 003 (IEEE Robotics Autom. Lett., 2021)

SpatialFlow: Bridging All Tasks for Panoptic Segmentation. - Qiang Chen 007; Anda Cheng; Xiangyu He; Peisong Wang; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Unsupervised Network Quantization via Fixed-Point Factorization. - Peisong Wang; Xiangyu He; Qiang Chen 007; Anda Cheng; Qingshan Liu 001; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. - Anda Cheng; Jiaxing Wang; Xi Sheryl Zhang; Qiang Chen 007; Peisong Wang; Jian Cheng 001 (AAAI, 2022)

Towards Fully Sparse Training: Information Restoration with Spatial Similarity. - Weixiang Xu; Xiangyu He; Ke Cheng 002; Peisong Wang; Jian Cheng 001 (AAAI, 2022)

Differentially Private Federated Learning with Local Regularization and Sparsification. - Anda Cheng; Peisong Wang; Xi Sheryl Zhang; Jian Cheng 001 (CVPR, 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 009; Eduardo Pérez-Pellitero; Fenglong Song; Furui Bai; Shuai Liu 009; Chaoyu Feng; Xiaotao Wang; et al. (ECCV Workshops (3), 2022)

RISPNet: A Network for Reversed Image Signal Processing. - Xiaoyi Dong; Yu Zhu 004; Chenghua Li; Peisong Wang; Jian Cheng 001 (ECCV Workshops (2), 2022)

CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. - Xiaoran Qin; Yu Zhu 004; Chenghua Li; Peisong Wang; Jian Cheng 001 (ECCV Workshops (2), 2022)

Q-ViT: Fully Differentiable Quantization for Vision Transformer. - Zhexin Li; Tong Yang 005; Peisong Wang; Jian Cheng 001 (CoRR, 2022)

Towards Efficient and Accurate Winograd Convolution via Full Quantization. - Tianqi Chen; Weixiang Xu; Weihan Chen; Peisong Wang; Jian Cheng 001 (NeurIPS, 2023)

Optimization-Based Post-Training Quantization With Bit-Split and Stitching. - Peisong Wang; Weihan Chen; Xiangyu He; Qiang Chen 007; Qingshan Liu 001; Jian Cheng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Extreme Low-Bit Quantization With Soft Threshold. - Weixiang Xu; Fanrong Li; Yingying Jiang 001; Yong A; Xiangyu He; Peisong Wang; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Towards Automatic Model Compression via a Unified Two-Stage Framework. - Weihan Chen; Peisong Wang; Jian Cheng 001 (Pattern Recognit., 2023)

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. - Peisong Wang; Fanrong Li; Gang Li 015; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Patch-Aware Sample Selection for Efficient Masked Image Modeling. - Zhengyang Zhuge; Jiaxing Wang; Yong Li; Yongjun Bao; Peisong Wang; Jian Cheng 001 (AAAI, 2024)

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. - Zeyu Zhu; Peisong Wang; Qinghao Hu 001; Gang Li 015; Xiaoyao Liang; Jian Cheng 001 (ASPLOS (4), 2024)

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. - Zhengyang Zhuge; Peisong Wang; Xingting Yao; Jian Cheng 001 (ICML, 2024)

A Survey of Graph Meets Large Language Model: Progress and Future Directions. - Yuhan Li 001; Zhixun Li; Peisong Wang; Jia Li 009; Xiangguo Sun; Hong Cheng 001; Jeffrey Xu Yu (IJCAI, 2024)

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. - Yuhan Li 001; Peisong Wang; Zhixun Li; Jeffrey Xu Yu; Jia Li 009 (KDD, 2024)

GLBench: A Comprehensive Benchmark for Graph with Large Language Models. - Yuhan Li 001; Peisong Wang; Xiao Zhu; Aochuan Chen; Haiyun Jiang; Deng Cai 002; Wai Kin (Victor) Chan; Jia Li 009 (NeurIPS, 2024)

Data-Driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems. - Feixue Liu; Yuqing Miao; Yun Ye; Peisong Wang; Xinglu Liu; Kai Zhang 038; Wai Kin Chan (WSC, 2024)

TernaryLLM: Ternarized Large Language Model. - Tianqi Chen; Zhe Li; Weixiang Xu; Zeyu Zhu; Dong Li 025; Lu Tian; Emad Barsoum; Peisong Wang; Jian Cheng 001 (CoRR, 2024)

FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing. - Yingying Deng; Xiangyu He; Changwang Mei; Peisong Wang; Fan Tang (CoRR, 2024)

Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. - Peisong Wang; Xiangyu He; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Q-Mamba: Towards more efficient Mamba models via post-training quantization. - Tianqi Chen; Yuanteng Chen; Peisong Wang; Weixiang Xu; Zeyu Zhu; Jian Cheng 001 (ACL (Findings), 2025)

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models. - Yuanteng Chen; Yuantian Shao; Peisong Wang; Jian Cheng 001 (ACL (1), 2025)

RQT: Hierarchical Residual Quantization for Multi-Model Compression. - Tianqi Chen; Peisong Wang; Weixiang Xu; Zeyu Zhu; Jian Cheng 001 (ACL (Findings), 2025)

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 (ACL (1), 2025)

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 (CoRR, 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 (CoRR, 2025)

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 004; Jian Li; Yifan Yang; Zhaopeng Tu; et al. (CoRR, 2025)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. - Xingting Yao; Qinghao Hu 001; Fei Zhou; Tielong Liu; Gang Li 015; Peisong Wang; Jian Cheng 001 (CoRR, 2025)

RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents. - Peisong Wang; Ruotian Ma; Bang Zhang; Xingyu Chen; Zhiwei He 002; Kang Luo; Qingsong Lv; Qingxuan Jiang; Zheng Xie; Shanyi Wang; Yuan Li; Fanghua Ye 004; et al. (CoRR, 2025)

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. - Minnan Pei; Gang Li 015; Junwen Si; Zeyu Zhu; Zitao Mo; Peisong Wang; Zhuoran Song; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2025)