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ORCIDYifeng Ding
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Yifeng Ding
, Gaoming Yang, Shuting Yin, Ji Zhang, Xianjin Fang, Wencheng Yang:
Generous teacher: Good at distilling knowledge for student learning. Image Vis. Comput. 150: 105199 (2024)- [j9]Yu'e Lin, Shuting Yin, Yifeng Ding, Xingzhu Liang:
ATMKD: adaptive temperature guided multi-teacher knowledge distillation. Multim. Syst. 30(5): 292 (2024) - [c20]Yifeng Ding, Jiawei Liu, Yuxiang Wei, Lingming Zhang:
\mathcal XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. ACL (1) 2024: 12941-12955 - [c19]Yifeng Ding, Yipu Li:
Some General Completeness Results for Propositionally Quantified Modal Logics. AiML 2024: 293-314 - [c18]Yifeng Ding, Krishna Manoorkar, Mattia Panettiere, Ruoding Wang:
Toward the van Benthem Characterization Theorem for Non-Distributive Modal Logic. AiML 2024: 315-334 - [c17]Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang:
Magicoder: Empowering Code Generation with OSS-Instruct. ICML 2024 - [c16]Hanzi Wang, Jiamin Ren, Yifeng Ding, Lei Ren, Huixing Jiang, Wei Chen, Fangxiang Feng, Xiaojie Wang:
Q-MoE: Connector for MLLMs with Text-Driven Routing. ACM Multimedia 2024: 817-825 - [i15]Yifeng Ding, Jiawei Liu, Yuxiang Wei, Terry Yue Zhuo, Lingming Zhang:
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. CoRR abs/2404.15247 (2024) - [i14]Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang:
RepoQA: Evaluating Long Context Code Understanding. CoRR abs/2406.06025 (2024) - [i13]Yifeng Ding, Yipu Li:
Some General Completeness Results for Propositionally Quantified Modal Logics. CoRR abs/2406.16034 (2024) - [i12]Jiawei Liu, Songrun Xie, Junhao Wang, Yuxiang Wei, Yifeng Ding, Lingming Zhang:
Evaluating Language Models for Efficient Code Generation. CoRR abs/2408.06450 (2024) - 2023
- [c15]Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian:
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) 2023: 5105-5119 - [c14]Wenye Lin, Yifeng Ding, Zhixiong Cao, Hai-Tao Zheng:
Establishing a Stronger Baseline for Lightweight Contrastive Models. ICME 2023: 1062-1067 - [c13]Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun:
CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems. ISSTA 2023: 753-765 - [c12]Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang:
The Plastic Surgery Hypothesis in the Era of Large Language Models. ASE 2023: 522-534 - [c11]Yifeng Ding:
Modal Logics with Non-rigid Propositional Designators. LORI 2023: 47-62 - [i11]Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang:
Revisiting the Plastic Surgery Hypothesis via Large Language Models. CoRR abs/2303.10494 (2023) - [i10]Junwei You, Ying Chen, Zhuoyu Jiang, Zhangchi Liu, Zilin Huang, Yifeng Ding, Bin Ran:
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer. CoRR abs/2310.13906 (2023) - [i9]Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang:
Magicoder: Source Code Is All You Need. CoRR abs/2312.02120 (2023) - 2022
- [j8]Jixin Liu, Yifeng Ding, Yanjing Wang:
Model Theoretical Aspects of Weakly Aggregative Modal Logic. J. Log. Lang. Inf. 31(2): 261-286 (2022) - [c10]Yifeng Ding, Yimeng Dai, Hai-Tao Zheng, Rui Zhang:
GiTS: Gist-driven Text Segmentation. IJCNN 2022: 1-8 - [c9]Wenye Lin, Yangning Li, Yifeng Ding, Hai-Tao Zheng:
Tree-structured Auxiliary Online Knowledge Distillation. IJCNN 2022: 1-8 - [i8]Wenye Lin, Yangning Li, Yifeng Ding, Hai-Tao Zheng:
Tree-structured Auxiliary Online Knowledge Distillation. CoRR abs/2208.10068 (2022) - [i7]Yifeng Ding, Wesley H. Holliday, Eric Pacuit:
An Axiomatic Characterization of Split Cycle. CoRR abs/2210.12503 (2022) - [i6]Wenye Lin, Yifeng Ding, Zhixiong Cao, Haitao Zheng:
Establishing a stronger baseline for lightweight contrastive models. CoRR abs/2212.07158 (2022) - 2021
- [j7]Yifeng Ding, Wesley H. Holliday, Thomas F. Icard III:
Logics of imprecise comparative probability. Int. J. Approx. Reason. 132: 154-180 (2021) - [j6]Yifeng Ding:
On the Logic of Belief and Propositional Quantification. J. Philos. Log. 50(5): 1143-1198 (2021) - [j5]Yifeng Ding, Zhanyu Ma, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhongwei Si, Ming Wu, Haibin Ling:
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. IEEE Trans. Image Process. 30: 2826-2836 (2021) - [c8]Yifeng Ding, Shuwei Dong, Yujun Tong, Zhanyu Ma, Bo Xiao, Haibin Ling:
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification. BMVC 2021: 267 - [c7]Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang:
AdvDoor: adversarial backdoor attack of deep learning system. ISSTA 2021: 127-138 - [c6]Yifeng Ding, Jixin Liu, Yanjing Wang:
Hypergraphs, Local Reasoning, and Weakly Aggregative Modal Logic. LORI 2021: 58-72 - [i5]Yifeng Ding, Shuwei Dong, Yujun Tong, Zhanyu Ma, Bo Xiao, Haibin Ling:
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification. CoRR abs/2106.03432 (2021) - 2020
- [j4]Yifeng Ding, Matthew Harrison-Trainor, Wesley H. Holliday:
The Logic of Comparative Cardinality. J. Symb. Log. 85(3): 972-1005 (2020) - [j3]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. IEEE Trans. Image Process. 29: 4683-4695 (2020) - [c5]Yifeng Ding, Wesley H. Holliday:
Another Problem in Possible World Semantics. AiML 2020: 149-168 - [i4]Yifeng Ding, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhanyu Ma, Zhongwei Si, Haibin Ling:
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. CoRR abs/2002.03353 (2020) - [i3]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. CoRR abs/2002.04264 (2020)
2010 – 2019
- 2019
- [j2]Zhanyu Ma, Yifeng Ding, Shaoguo Wen, Jiyang Xie, Yifeng Jin, Zhongwei Si, Haining Wang:
Shoe-Print Image Retrieval With Multi-Part Weighted CNN. IEEE Access 7: 59728-59736 (2019) - [j1]Zhanyu Ma, Dongliang Chang, Jiyang Xie, Yifeng Ding, Shaoguo Wen, Xiaoxu Li, Zhongwei Si, Jun Guo:
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. IEEE Trans. Veh. Technol. 68(4): 3224-3233 (2019) - [c4]Jixin Liu, Yanjing Wang, Yifeng Ding:
Weakly Aggregative Modal Logic: Characterization and Interpolation. LORI 2019: 153-167 - [c3]Yifeng Ding, Wesley H. Holliday, Cedegao Zhang:
When Do Introspection Axioms Matter for Multi-Agent Epistemic Reasoning? TARK 2019: 121-139 - 2018
- [c2]Yifeng Ding:
On the Logics with Propositional Quantifiers Extending S5Π. Advances in Modal Logic 2018: 219-235 - 2017
- [i2]Yifeng Ding:
Epistemic Logic with Functional Dependency Operator. CoRR abs/1706.02048 (2017) - 2016
- [i1]Yifeng Ding:
Axiomatization and complexity of modal logic with knowing-what operator on model class K. CoRR abs/1609.07684 (2016) - 2014
- [c1]Yifeng Ding, Yunhua Li, Yun-Ze Li, Weihai Chen, Hongsheng Zhang, Dong Li:
Intensive cooling method for power electronic component with high heat flux. ICARCV 2014: 163-168
Coauthor Index
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