Jing Liu - RankMe

62 papers A* 19Journal 39Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. AAAI Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2025	A*	`conf`	Channel Merging: Preserving Specialization for Merged Experts. AAAI Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang
2025	A*	`conf`	Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. ICLR Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen
2025	A*	`conf`	HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration. ICML Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang
2025	J	`jnl`	OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. CoRR Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2025	J	`jnl`	QVGen: Pushing the Limit of Quantized Video Generative Models. CoRR Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang
2025	J	`jnl`	Temporal Feature Matters: A Framework for Diffusion Model Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
2024	J	`jnl`	Channel Merging: Preserving Specialization for Merged Experts. CoRR Mingyang Zhang, Jing Liu, Ganggui Ding, Xinyi Yu, Linlin Ou, Bohan Zhuang
2024	A*	`conf`	Efficient Stitchable Task Adaptation. CVPR Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang
2024	A*	`conf`	EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. ICLR Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2024	J	`jnl`	Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. CoRR Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen
2024	J	`jnl`	HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration. CoRR Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jun Zhang
2024	J	`jnl`	ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang
2024	A*	`conf`	MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. NeurIPS Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Reza Haffari, Bohan Zhuang
2024	J	`jnl`	MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. CoRR Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang
2024	J	`jnl`	Pruning Self-Attentions Into Convolutional Layers in Single Path. IEEE Trans. Pattern Anal. Mach. Intell. Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang
2024	A*	`conf`	QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. ICLR Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
2024	—	`conf`	Stitched ViTs are Flexible Vision Backbones. ECCV (41) Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang
2024	A*	`conf`	TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2024	J	`jnl`	Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
2024	A*	`conf`	ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. NeurIPS Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
2024	J	`jnl`	ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. CoRR Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
2024	J	`jnl`	ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression. CoRR Yefei He, Feng Chen, Jing Liu, Wenqi Shao, Hong Zhou, Kaipeng Zhang, Bohan Zhuang
2023	A*	`conf`	A Survey on Efficient Training of Transformers. IJCAI Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen
2023	J	`jnl`	A Survey on Efficient Training of Transformers. CoRR Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen
2023	A*	`conf`	BiViT: Extremely Compressed Binary Vision Transformers. ICCV Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	A*	`conf`	Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang
2023	J	`jnl`	Efficient Stitchable Task Adaptation. CoRR Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang
2023	J	`jnl`	EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. CoRR Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	J	`jnl`	Generative Data Free Model Quantization With Knowledge Matching for Classification. IEEE Trans. Circuits Syst. Video Technol. Shoukai Xu, Shuhai Zhang, Jing Liu, Bohan Zhuang, Yaowei Wang, Mingkui Tan
2023	A*	`conf`	PTQD: Accurate Post-Training Quantization for Diffusion Models. NeurIPS Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	J	`jnl`	PTQD: Accurate Post-Training Quantization for Diffusion Models. CoRR Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
2023	J	`jnl`	QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
2023	J	`jnl`	Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan
2023	J	`jnl`	Stitched ViTs are Flexible Vision Backbones. CoRR Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang
2023	J	`jnl`	TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2022	J	`jnl`	Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan
2022	—	`conf`	Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. ICDCS Workshops Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan
2022	J	`jnl`	Dynamic Focus-aware Positional Queries for Semantic Segmentation. CoRR Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang
2022	A*	`conf`	EcoFormer: Energy-Saving Attention with Linear Complexity. NeurIPS Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang
2022	J	`jnl`	EcoFormer: Energy-Saving Attention with Linear Complexity. CoRR Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang
2022	J	`jnl`	Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen
2022	J	`jnl`	FocusFormer: Focusing on What We Need via Architecture Sampler. CoRR Jing Liu, Jianfei Cai, Bohan Zhuang
2022	A*	`conf`	Less Is More: Pay Less Attention in Vision Transformers. AAAI Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai
2021	J	`jnl`	ABS: Automatic Bit Sharing for Model Compression. CoRR Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan
2021	A*	`conf`	AQD: Towards Accurate Quantized Object Detection. CVPR Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen
2021	J	`jnl`	Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
2021	J	`jnl`	Less is More: Pay Less Attention in Vision Transformers. CoRR Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai
2021	J	`jnl`	Mesa: A Memory-saving Training Framework for Transformers. CoRR Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang
2021	J	`jnl`	Pruning Self-attentions into Convolutional Layers in Single Path. CoRR Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang
2021	A*	`conf`	Scalable Vision Transformers with Hierarchical Pooling. ICCV Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai
2021	J	`jnl`	Scalable Visual Transformers with Hierarchical Pooling. CoRR Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai
2021	J	`jnl`	Sharpness-aware Quantization for Deep Neural Networks. CoRR Jing Liu, Jianfei Cai, Bohan Zhuang
2020	J	`jnl`	AQD: Towards Accurate Quantized Object Detection. CoRR Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen
2020	J	`jnl`	Conditional Automated Channel Pruning for Deep Neural Networks. CoRR Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen
2020	—	`conf`	Deep Transferring Quantization. ECCV (8) Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan
2020	J	`jnl`	Discrimination-aware Network Pruning for Deep Model Compression. CoRR Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan
2020	—	`conf`	Generative Low-Bitwidth Data Free Quantization. ECCV (12) Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
2020	J	`jnl`	Generative Low-bitwidth Data Free Quantization. CoRR Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
2019	J	`jnl`	Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen
2018	A*	`conf`	Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
2018	J	`jnl`	Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu