Xingjian Li - RankMe

91 papers A* 15A 3C 1Misc 1Journal 61Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive knowledge transferring with switching dual-student framework for semi-supervised medical image segmentation. Pattern Recognit. Hoang-Thien Nguyen, Thanh-Huy Nguyen, Ba-Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu
2026	J	`jnl`	Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space. CoRR Quoc-Huy Trinh, Xi Ding, Yang Liu, Zhenyue Qin, Xingjian Li, Gorkem Durak, Halil Ertugrul Aktas, Elif Keles, Ulas Bagci, Min Xu
2026	A*	`conf`	DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects. AAAI Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md. Asib Rahman, Xingjian Li, Min Xu
2026	J	`jnl`	From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images. CoRR Vi Vu, Thanh-Huy Nguyen, Tien-Thinh Nguyen, Ba-Thinh Lam, Hoang-Thien Nguyen, Tianyang Wang, Xingjian Li, Min Xu
2026	J	`jnl`	From Unsupervised to Zero-Shot: 3D Domain Adaptation for Cryo-Electron Tomography Segmentation. Int. J. Comput. Vis. Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2026	J	`jnl`	Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning? CoRR Yang Liu, Jiyao Yang, Hongjin Zhao, Xiaoyong Li, Yanzhe Ji, Xingjian Li, Runmin Jiang, Tianyang Wang, Saeed Anwar, Dongwoo Kim, Yue Yao, Zhenyue Qin, Min Xu
2026	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. Trans. Mach. Learn. Res. Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2025	J	`jnl`	Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation. CoRR Thanh-Huy Nguyen, Hoang-Thien Nguyen, Ba Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu
2025	J	`jnl`	AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models. CoRR Xingjian Li, Qifeng Wu, Colleen Que, Yiran Ding, Adithya S. Ubaradka, Jianhua Xing, Tianyang Wang, Min Xu
2025	A*	`conf`	BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment. CVPR Runmin Jiang, Jackson Daggett, Shriya Pingulkar, Yizhou Zhao, Priyanshu Dhingra, Daniel Brown, Qifeng Wu, Xiangrui Zeng, Xingjian Li, Min Xu
2025	J	`jnl`	CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis. CoRR Runmin Jiang, Genpei Zhang, Yuntian Yang, Siqi Wu, Yuheng Zhang, Wanyue Feng, Yizhou Zhao, Xi Xiao, Xiao Wang, Tianyang Wang, Xingjian Li, Min Xu
2025	—	`conf`	Describe Anything Model for Visual Question Answering on Text-Rich Images. ICCVW Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
2025	J	`jnl`	Describe Anything Model for Visual Question Answering on Text-rich Images. CoRR Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
2025	J	`jnl`	Describe Anything in Medical Images. CoRR Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu
2025	J	`jnl`	DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects. CoRR Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md. Asib Rahman, Xingjian Li, Min Xu
2025	A*	`conf`	DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences. CVPR Xingjian Li, Qiming Zhao, Neelesh Bisht, Mostofa Rafid Uddin, Jin Yu Kim, Bryan Zhang, Min Xu
2025	J	`jnl`	DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization. CoRR Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu
2025	J	`jnl`	DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization. Comput. Medical Imaging Graph. Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu
2025	—	`conf`	Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation. ISBI Ha-Hieu Pham, Tran Quoc Khanh Le, Hoang-Thien Nguyen, Nguyen Lan Vi Vu, Quang-Vinh Dinh, Thanh-Huy Nguyen, Xingjian Li, Min Xu
2025	J	`jnl`	Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization. IEEE Trans. Neural Networks Learn. Syst. Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2025	J	`jnl`	MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation. Knowl. Based Syst. Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2025	—	`conf`	Multimodal Generalized Category Discovery. CVPR Workshops Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
2025	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2025	J	`jnl`	SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection. CoRR Gokul Adethya T, Bhanu Pratyush Mantha, Tianyang Wang, Xingjian Li, Min Xu
2025	J	`jnl`	Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation. CoRR Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Thien Nguyen, Daisuke Kihara, Tianyang Wang, Xingjian Li, Min Xu
2025	—	`conf`	Semi-Supervised Histopathology Image Segmentation with Feature Diversified Collaborative Learning. AAAI Bridge Program Thanh-Huy Nguyen, Nguyen Lan Vi Vu, Hoang-Thien Nguyen, Quang-Vinh Dinh, Xingjian Li, Min Xu
2025	J	`jnl`	TextCAM: Explaining Class Activation Map with Text. CoRR Qiming Zhao, Xingjian Li, Xiaoyu Cao, Xiaolong Wu, Min Xu
2025	J	`jnl`	Towards Foundation Models for Cryo-ET Subtomogram Analysis. CoRR Runmin Jiang, Wanyue Feng, Yuntian Yang, Shriya Pingulkar, Hong Wang, Xi Xiao, Xiaoyu Cao, Genpei Zhang, Xiao Wang, Xiaolong Wu, Tianyang Wang, Yang Liu, Xingjian Li, Min Xu
2025	J	`jnl`	Towards molecular structure discovery from cryo-ET density volumes via modelling auxiliary semantic prototypes. Briefings Bioinform. Ashwin R. Nair, Xingjian Li, Bhupendra Solanki, Souradeep Mukhopadhyay, Ankit Jha, Mostofa Rafid Uddin, Mainak Singha, Biplab Banerjee, Min Xu
2025	J	`jnl`	Trustworthy federated learning: privacy, security, and beyond. Knowl. Inf. Syst. Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou
2025	A*	`conf`	Visual Instance-aware Prompt Tuning. ACM Multimedia Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Instance-aware Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Variational Autoencoder Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu
2025	A*	`conf`	Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. AAAI Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2024	A*	`conf`	Deep Active Learning with Noise Stability. AAAI Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
2024	A*	`conf`	G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2024	A*	`conf`	Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries. IJCAI Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma
2024	J	`jnl`	Knowledge transfer from macro-world to micro-world: enhancing 3D Cryo-ET classification through fine-tuning video-based deep models. Bioinform. Sabhay Jain, Xingjian Li, Min Xu
2024	J	`jnl`	Multimodal Generalized Category Discovery. CoRR Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
2024	J	`jnl`	Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2024	J	`jnl`	Trustworthy Federated Learning: Privacy, Security, and Beyond. CoRR Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou
2024	J	`jnl`	Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2023	J	`jnl`	G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2023	Misc	`conf`	Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. ICASSP Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou
2023	J	`jnl`	Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2023	—	`conf`	Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu
2023	J	`jnl`	Robust Cross-Modal Knowledge Distillation for Unconstrained Videos. CoRR Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu
2023	J	`jnl`	SMILE: Sample-to-feature Mixup for Efficient Transfer Learning. Trans. Mach. Learn. Res. Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2023	J	`jnl`	Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
2023	A*	`conf`	Towards Inadequately Pre-trained Models in Transfer Learning. ICCV Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu
2022	A*	`conf`	Boosting Active Learning via Improving Test Performance. AAAI Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2022	J	`jnl`	COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. Neural Process. Lett. Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2022	J	`jnl`	Deep Active Learning with Noise Stability. CoRR Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
2022	J	`jnl`	Fine-tuning Pre-trained Language Models with Noise Stability Regularization. CoRR Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2022	J	`jnl`	GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. ACM Trans. Knowl. Discov. Data Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan
2022	J	`jnl`	Inadequately Pre-trained Models are Better Feature Extractors. CoRR Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou
2022	J	`jnl`	InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
2022	J	`jnl`	Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2022	J	`jnl`	Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
2022	J	`jnl`	Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2021	J	`jnl`	"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou
2021	A*	`conf`	Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
2021	J	`jnl`	Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
2021	J	`jnl`	Boosting Active Learning via Improving Test Performance. CoRR Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2021	—	`conf`	Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
2021	J	`jnl`	Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou
2021	J	`jnl`	Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021	—	`conf`	Noise Stability Regularization for Improving BERT Fine-tuning. NAACL-HLT Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2021	J	`jnl`	Noise Stability Regularization for Improving BERT Fine-tuning. CoRR Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2021	J	`jnl`	SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou
2021	A*	`conf`	Temporal Relational Modeling with Self-Supervision for Action Segmentation. AAAI Dong Wang, Di Hu, Xingjian Li, Dejing Dou
2020	J	`jnl`	COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. CoRR Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu
2020	J	`jnl`	Measuring Information Transfer in Neural Networks. CoRR Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu
2020	A	`conf`	Neighbours Matter: Image Captioning with Similar Images. BMVC Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou
2020	A*	`conf`	Pay Attention to Features, Transfer Learn Faster CNNs. ICLR Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu
2020	—	`conf`	Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. IEEE BigData Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou
2020	A*	`conf`	RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. ICML Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2020	J	`jnl`	RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. CoRR Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2020	J	`jnl`	Temporal Relational Modeling with Self-Supervision for Action Segmentation. CoRR Dong Wang, Di Hu, Xingjian Li, Dejing Dou
2020	J	`jnl`	Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
2020	J	`jnl`	XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. CoRR Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2019	J	`jnl`	An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. CoRR Yingzhen Yang, Xingjian Li, Jun Huan
2019	J	`jnl`	DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks. CoRR Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
2019	—	`conf`	Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks. ICLR (Poster) Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
2019	J	`jnl`	Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. CoRR Dou Goodman, Xingjian Li, Ji Liu, Dejing Dou, Tao Wei
2019	A*	`conf`	Towards Making Deep Transfer Learning Never Hurt. ICDM Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
2019	J	`jnl`	Towards Making Deep Transfer Learning Never Hurt. CoRR Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
2012	A	`conf`	An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs. ICS Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun
2011	C	`conf`	Biprominer: Automatic Mining of Binary Protocol Features. PDCAT Yipeng Wang, Xingjian Li, Jiao Meng, Yong Zhao, Zhibin Zhang, Li Guo
2011	A	`conf`	Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system. HPDC Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang
2011	—	`conf`	Floating-point mixed-radix FFT core generation for FPGA and comparison with GPU and CPU. FPT Bo Duan, Wendi Wang, Xingjian Li, Chunming Zhang, Peiheng Zhang, Ninghui Sun