Qing Jin - RankMe

39 papers A* 10A 2C 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Learning-Based Receiver for LEO Satellite Communications With Nonlinear Distortion. IEEE Wirel. Commun. Lett. Qing Jin, Xiaohui Li, Xiang Li, Feixiang Liu
2026	J	`jnl`	DRNet: Deep Learning-Based Dual-Branch Receiver for OFDM With Nonlinear Distortions. IEEE Commun. Lett. Qing Jin, Xiaohui Li, Ruihao Guo, Feixiang Liu
2026	J	`jnl`	Revisiting Diffusion Model Predictions Through Dimensionality. CoRR Qing Jin, Chaoyang Wang
2025	J	`jnl`	LowDiff: Efficient Diffusion Sampling with Low-Resolution Condition. CoRR Jiuyi Xu, Qing Jin, Meida Chen, Andrew Feng, Yang Sui, Yangming Shi
2025	J	`jnl`	Multi Anatomy X-Ray Foundation Model. CoRR Nishank Singla, Krisztian Koos, Farzin Haddadpour, Amin Honarmandi Shandiz, Lovish Chum, Xiaojian Xu, Qing Jin, Erhan Bas
2024	J	`jnl`	E CoRR Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren
2024	A*	`conf`	E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. ICML Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren
2023	A*	`conf`	SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. NeurIPS Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren
2023	J	`jnl`	SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. CoRR Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren
2023	A*	`conf`	Towards Real-Time Segmentation on the Edge. AAAI Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
2022	—	`conf`	DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization. CICC Zhiyu Chen, Qing Jin, Zhanghao Yu, Yanzhi Wang, Kaiyuan Yang
2022	A*	`conf`	F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. ICLR Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov
2022	J	`jnl`	F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. CoRR Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov
2022	J	`jnl`	Optimal Grouping of Heterogeneous Components in Series and Parallel Systems Under Archimedean Copula Dependence. J. Syst. Sci. Complex. Longxiang Fang, Xinsheng Zhang, Qing Jin
2022	J	`jnl`	PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems. CoRR Qing Jin, Zhiyu Chen, Jian Ren, Yanyu Li, Yanzhi Wang, Kaiyuan Yang
2022	J	`jnl`	ROC++: Robust Optimization in C++. INFORMS J. Comput. Phebe Vayanos, Qing Jin, George Elissaios
2022	—	`conf`	You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang
2021	J	`jnl`	CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. CoRR Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang
2021	J	`jnl`	CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. IEEE J. Solid State Circuits Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang
2021	A*	`conf`	FracBits: Mixed Precision Quantization via Fractional Bit-Widths. AAAI Linjie Yang, Qing Jin
2021	J	`jnl`	Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? CoRR Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
2021	A*	`conf`	Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
2021	A	`conf`	MC ISLPED Zhiyu Chen, Qing Jin, Jingyu Wang, Yanzhi Wang, Kaiyuan Yang
2021	A*	`conf`	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021	J	`jnl`	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021	A*	`conf`	NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2021	A*	`conf`	Teachers Do More Than Teach: Compressing Image-to-Image Models. CVPR Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov
2021	J	`jnl`	Teachers Do More Than Teach: Compressing Image-to-Image Models. CoRR Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov
2020	J	`jnl`	6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CoRR Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2020	A*	`conf`	AdaBits: Neural Network Quantization With Adaptive Bit-Widths. CVPR Qing Jin, Linjie Yang, Zhenyu Liao
2020	J	`jnl`	FracBits: Mixed Precision Quantization via Fractional Bit-Widths. CoRR Linjie Yang, Qing Jin
2020	A	`conf`	Neural Network Quantization with Scale-Adjusted Training. BMVC Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian
2020	J	`jnl`	Optimal grouping of heterogeneous components in series-parallel and parallel-series systems under Archimedean copula dependence. J. Comput. Appl. Math. Longxiang Fang, N. Balakrishnan, Qing Jin
2019	—	`conf`	A 0.84pJ/cycle Wheatstone Bridge Based CMOS RC Oscillator with Reconfigurable Frequencies. CICC Peiyu Chen, Dai Li, Zhanghao Yu, Qing Jin, Kaiyuan Yang
2019	J	`jnl`	AdaBits: Neural Network Quantization with Adaptive Bit-Widths. CoRR Qing Jin, Linjie Yang, Zhenyu Liao
2019	J	`jnl`	Towards Efficient Training for Neural Network Quantization. CoRR Qing Jin, Linjie Yang, Zhenyu Liao
2017	J	`jnl`	Computational design of peptide ligands to target the intermolecular interaction between viral envelope protein and pediatric receptor. Comput. Biol. Chem. Darong Xu, Hongliang Bian, Jinlan Cai, Daocheng Bao, Qing Jin, Min Zhu, Cuifeng Zhang, Tingting Tao
2012	C	`conf`	A transformer-based filtering technique to lower LC-oscillator phase noise. ISCAS Qing Jin, Kaiyuan Yang, Chunyuan Zhou, Dongxu Yang, Lei Zhang, Yan Wang, Zhiping Yu, Weidong Geng
2012	J	`jnl`	Spontaneous Symmetry Breaking in Interdependent Networked Game CoRR Qing Jin, Zhen Wang