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Qiwei Ye
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Journal Articles
- 2023
- [j1]Xin Lai, Yang Liu, Rui Qian, Yong Lin, Qiwei Ye:
Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer. Entropy 25(6): 885 (2023)
Conference and Workshop Papers
- 2024
- [c12]Qiwei Ye, Fan Yang, Jing Lu, Yu Tang, Linbo Qiao, Yunwei Zhao:
FDIG: A Fine-Grained Data Integration Approach for Group Recommendation. ICASSP 2024: 5370-5374 - [c11]Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR 2024 - [c10]Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang:
Do Efficient Transformers Really Save Computation? ICML 2024 - [c9]Qiwei Ye, Linbo Qiao, Zhixin Ou, Kaixi Yang, Fan Yang:
FEW: Multi-modal Recommendation for Cold-Start. IJCNN 2024: 1-9 - 2023
- [c8]Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye:
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein. NeurIPS 2023 - 2021
- [c7]Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie:
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning. ICRA 2021: 8814-8820 - [c6]Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu:
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. IJCAI 2021: 500-506 - [c5]Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang:
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. NeurIPS 2021: 22106-22118 - 2019
- [c4]Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu:
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. ICLR (Poster) 2019 - 2017
- [c3]Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu:
LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS 2017: 3146-3154 - 2016
- [c2]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS 2016: 1271-1279 - 2006
- [c1]Wenbin Jiang, Hai Jin, Zhiyuan Shao, Qiwei Ye:
FreeSpeech: A Novel Wireless Approach for Conference Projecting and Cooperating. UIC 2006: 688-697
Informal and Other Publications
- 2024
- [i14]Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou:
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. CoRR abs/2401.03462 (2024) - [i13]Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR abs/2401.08514 (2024) - [i12]Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang:
Do Efficient Transformers Really Save Computation? CoRR abs/2402.13934 (2024) - [i11]Zhaoqun Li, Jingcheng Yu, Qiwei Ye:
SGNet: Folding Symmetrical Protein Complex with Deep Learning. CoRR abs/2403.04395 (2024) - [i10]Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou:
Extending Llama-3's Context Ten-Fold Overnight. CoRR abs/2404.19553 (2024) - [i9]Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei-Ying Ma, Zhi-Ming Ma, Qiwei Ye, Yanyan Lan:
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction. CoRR abs/2407.11086 (2024) - 2021
- [i8]Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie:
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning. CoRR abs/2103.05293 (2021) - [i7]Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang:
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. CoRR abs/2110.05474 (2021) - 2020
- [i6]Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon:
Suphx: Mastering Mahjong with Deep Reinforcement Learning. CoRR abs/2003.13590 (2020) - [i5]Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu:
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. CoRR abs/2004.01704 (2020) - 2019
- [i4]Ruihan Yang, Qiwei Ye, Tie-Yan Liu:
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy. CoRR abs/1905.11583 (2019) - [i3]Yufei Wang, Qiwei Ye, Tie-Yan Liu:
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function. CoRR abs/1905.11591 (2019) - 2018
- [i2]Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu:
Optimizing Neural Networks in the Equivalent Class Space. CoRR abs/1802.03713 (2018) - 2016
- [i1]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR abs/1611.01276 (2016)
Coauthor Index
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