Peisong Wang - RankMe

93 papers A* 23A 3Misc 1Journal 52Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Astro: Activation-guided Structured Regularization for Outlier-Robust LLM Post-Training Quantization. CoRR Xi Chen, Ming Li, Junxi Li, Changsheng Li, Peisong Wang, Lizhong Ding, Ye Yuan, Guoren Wang
2026	J	`jnl`	Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE. CoRR Yuanteng Chen, Peisong Wang, Nanxin Zeng, Yuantian Shao, Gang Li, Jing Liu, Jian Cheng
2026	J	`jnl`	DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs. CoRR Zeyu Zhu, Gang Li, Peisong Wang, Zitao Mo, Minnan Pei, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2026	J	`jnl`	IntraSlice: Towards High-Performance Structural Pruning with Block-Intra PCA for LLMs. CoRR Meng Li, Peisong Wang, Yuantian Shao, Qinghao Hu, Hongjian Fang, Yifan Zhang, Zhihui Wei, Jian Cheng
2026	A*	`conf`	MemeBQ: Memory Efficient Binary Quantization of LLMs. AAAI Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang, Qinghao Hu
2026	J	`jnl`	SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration. CoRR Zekun Li, Ning Wang, Tongxin Bai, Changwang Mei, Peisong Wang, Shuang Qiu, Jian Cheng
2026	J	`jnl`	Towards efficient and accurate spiking neural networks via adaptive bit allocation. Neural Networks Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng
2025	J	`jnl`	Ban&Pick: Ehancing Performance and Efficiency of MoE-LLMs via Smarter Routing. CoRR Yuanteng Chen, Peisong Wang, Yuantian Shao, Nanxin Zeng, Chang Xu, Jian Cheng
2025	J	`jnl`	Block Rotation is All You Need for MXFP4 Quantization. CoRR Yuantian Shao, Peisong Wang, Yuanteng Chen, Chang Xu, Zhihui Wei, Jian Cheng
2025	J	`jnl`	CoTBox-TTT: Grounding Medical VQA with Visual Chain-of-Thought Boxes During Test-time Training. CoRR Jiahe Qian, Yuhao Shen, Zhangtianyi Chen, Juexiao Zhou, Peisong Wang
2025	J	`jnl`	DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization. CoRR Yuantian Shao, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, Yiwu Yao, Zhihui Wei, Jian Cheng
2025	—	`conf`	EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models. ACL (1) Yuanteng Chen, Yuantian Shao, Peisong Wang, Jian Cheng
2025	J	`jnl`	EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models. CoRR Yuanteng Chen, Yuantian Shao, Peisong Wang, Jian Cheng
2025	A*	`conf`	FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing. ICML Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang
2025	A*	`conf`	GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. MICRO Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	J	`jnl`	GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. CoRR Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	J	`jnl`	HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language Models. CoRR Zhinan Xie, Peisong Wang, Jian Cheng
2025	—	`conf`	LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning. EMNLP (Findings) Zhangming Li, Qinghao Hu, Yiqun Chen, Peisong Wang, Yifan Zhang, Jian Cheng
2025	—	`conf`	Q-Mamba: Towards more efficient Mamba models via post-training quantization. ACL (Findings) Tianqi Chen, Yuanteng Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng
2025	J	`jnl`	RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents. CoRR Peisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li
2025	—	`conf`	RQT: Hierarchical Residual Quantization for Multi-Model Compression. ACL (Findings) Tianqi Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng
2025	J	`jnl`	S CoRR Ruotian Ma, Peisong Wang, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li
2025	J	`jnl`	SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning. CoRR Jiaqi Chen, Bang Zhang, Ruotian Ma, Peisong Wang, Xiaodan Liang, Zhaopeng Tu, Xiaolong Li, Kwan-Yee K. Wong
2025	J	`jnl`	Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models. CoRR 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
2025	—	`conf`	S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning. ACL (1) Ruotian Ma, Peisong Wang, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li
2025	J	`jnl`	Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. CoRR Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng
2024	A*	`conf`	A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
2024	Misc	`conf`	Data-Driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems. WSC Feixue Liu, Yuqing Miao, Yun Ye, Peisong Wang, Xinglu Liu, Kai Zhang, Wai Kin Chan
2024	—	`conf`	FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. ASPLOS (4) Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024	J	`jnl`	FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. CoRR Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024	J	`jnl`	FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing. CoRR Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang
2024	A*	`conf`	GLBench: A Comprehensive Benchmark for Graph with Large Language Models. NeurIPS Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li
2024	J	`jnl`	GLBench: A Comprehensive Benchmark for Graph with Large Language Models. CoRR Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li
2024	A*	`conf`	Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng
2024	J	`jnl`	TernaryLLM: Ternarized Large Language Model. CoRR Tianqi Chen, Zhe Li, Weixiang Xu, Zeyu Zhu, Dong Li, Lu Tian, Emad Barsoum, Peisong Wang, Jian Cheng
2024	J	`jnl`	Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. IEEE Trans. Neural Networks Learn. Syst. Peisong Wang, Xiangyu He, Jian Cheng
2024	A*	`conf`	Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. ICML Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng
2024	A*	`conf`	ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
2024	J	`jnl`	ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
2023	J	`jnl`	A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
2023	J	`jnl`	Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Trans. Neural Networks Learn. Syst. Peisong Wang, Fanrong Li, Gang Li, Jian Cheng
2023	J	`jnl`	Improving Extreme Low-Bit Quantization With Soft Threshold. IEEE Trans. Circuits Syst. Video Technol. Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng
2023	J	`jnl`	Optimization-Based Post-Training Quantization With Bit-Split and Stitching. IEEE Trans. Pattern Anal. Mach. Intell. Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng
2023	J	`jnl`	Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognit. Weihan Chen, Peisong Wang, Jian Cheng
2023	A*	`conf`	Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng
2022	—	`conf`	CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. ECCV Workshops (2) Xiaoran Qin, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng
2022	A*	`conf`	DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. AAAI Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
2022	A*	`conf`	Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng
2022	J	`jnl`	Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng
2022	J	`jnl`	Q-ViT: Fully Differentiable Quantization for Vision Transformer. CoRR Zhexin Li, Tong Yang, Peisong Wang, Jian Cheng
2022	—	`conf`	RISPNet: A Network for Reversed Image Signal Processing. ECCV Workshops (2) Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng
2022	—	`conf`	Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 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
2022	J	`jnl`	Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR 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
2022	J	`jnl`	Soft Threshold Ternary Networks. CoRR Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
2022	A*	`conf`	Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng
2021	J	`jnl`	Analyses and Optimization of Electrostatic Film Actuators Considering Electrical Breakdown. IEEE Robotics Autom. Lett. Yang Qu, Peisong Wang, Wenguang Wang, Hongqiang Wang
2021	J	`jnl`	DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
2021	—	`conf`	Generative Zero-Shot Network Quantization. CVPR Workshops Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng
2021	J	`jnl`	Generative Zero-shot Network Quantization. CoRR Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng
2021	J	`jnl`	Improving Binary Neural Networks through Fully Utilizing Latent Weights. CoRR Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng
2021	A	`conf`	More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering. ICME Zili Liu, Peisong Wang, Zaixing Li
2021	J	`jnl`	SpatialFlow: Bridging All Tasks for Panoptic Segmentation. IEEE Trans. Circuits Syst. Video Technol. Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng
2021	—	`conf`	Towards Binarized MobileNet via Structured Sparsity. ICIG (1) Zhenmeng Zuo, Zhexin Li, Peisong Wang, Weihan Chen, Jian Cheng
2021	A*	`conf`	Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. ICCV Weihan Chen, Peisong Wang, Jian Cheng
2021	J	`jnl`	Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. CoRR Weihan Chen, Peisong Wang, Jian Cheng
2021	J	`jnl`	Unsupervised Network Quantization via Fixed-Point Factorization. IEEE Trans. Neural Networks Learn. Syst. Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng
2020	J	`jnl`	Fuzzy Removing Redundancy Restricted Boltzmann Machine: Improving Learning Speed and Classification Accuracy. IEEE Trans. Fuzzy Syst. Xueqin Lü, Lingzheng Meng, Chao Chen, Peisong Wang
2020	A	`conf`	Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng
2020	—	`conf`	ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. ECCV (3) Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng
2020	J	`jnl`	Robust one-stage object detection with location-aware classifiers. Pattern Recognit. Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng
2020	A*	`conf`	Soft Threshold Ternary Networks. IJCAI Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
2020	A*	`conf`	Sparsity-Inducing Binarized Neural Networks. AAAI Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng
2020	A*	`conf`	Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. ICML Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng
2020	A	`conf`	Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. BMVC Weihan Chen, Peisong Wang, Jian Cheng
2019	—	`conf`	A System-Level Solution for Low-Power Object Detection. ICCV Workshops Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng
2019	J	`jnl`	A System-Level Solution for Low-Power Object Detection. CoRR Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
2019	J	`jnl`	Feature Distilled Tracking. IEEE Trans. Cybern. Guibo Zhu, Jinqiao Wang, Peisong Wang, Yi Wu, Hanqing Lu
2019	A*	`conf`	K-Nearest Neighbors Hashing. CVPR Xiangyu He, Peisong Wang, Jian Cheng
2019	J	`jnl`	Location-aware Upsampling for Semantic Segmentation. CoRR Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng
2019	A*	`conf`	ODE-Inspired Network Design for Single Image Super-Resolution. CVPR Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng
2019	A*	`conf`	Reading selectively via Binary Input Gated Recurrent Unit. IJCAI Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng
2019	J	`jnl`	SpatialFlow: Bridging All Tasks for Panoptic Segmentation. CoRR Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng
2018	J	`jnl`	DeepSearch: A Fast Image Search Framework for Mobile Devices. ACM Trans. Multim. Comput. Commun. Appl. Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng
2018	A*	`conf`	From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI Qinghao Hu, Peisong Wang, Jian Cheng
2018	J	`jnl`	From Hashing to CNNs: Training BinaryWeight Networks via Hashing. CoRR Qinghao Hu, Peisong Wang, Jian Cheng
2018	J	`jnl`	Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
2018	J	`jnl`	Recent advances in efficient computation of deep convolutional neural networks. Frontiers Inf. Technol. Electron. Eng. Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
2018	—	`conf`	Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng
2018	A*	`conf`	Two-Step Quantization for Low-Bit Neural Networks. CVPR Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng
2017	A*	`conf`	Fixed-Point Factorized Networks. CVPR Peisong Wang, Jian Cheng
2016	A*	`conf`	Accelerating Convolutional Neural Networks for Mobile Applications. ACM Multimedia Peisong Wang, Jian Cheng
2016	J	`jnl`	Fixed-point Factorized Networks. CoRR Peisong Wang, Jian Cheng
2016	J	`jnl`	Sequentially Supervised Long Short-Term Memory for Gesture Recognition. Cogn. Comput. Peisong Wang, Qiang Song, Hua Han, Jian Cheng