Qiwei Ye

According to our database, Qiwei Ye authored at least 18 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SGNet: Folding Symmetrical Protein Complex with Deep Learning.

Zhaoqun Li, Jingcheng Yu, Qiwei Ye

CoRR, 2024

Do Efficient Transformers Really Save Computation?

Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang

CoRR, 2024

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.

Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

CoRR, 2024

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon.

Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou

CoRR, 2024

2023

Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer.

Xin Lai, Yang Liu, Rui Qian, Yong Lin, Qiwei Ye

Entropy, June, 2023

DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein.

Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning.

Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks.

Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning.

Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator.

Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu

CoRR, 2020

Suphx: Mastering Mahjong with Deep Reinforcement Learning.

Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon

CoRR, 2020

2019

Beyond Exponentially Discounted Sum: Automatic Learning of Return Function.

Yufei Wang, Qiwei Ye, Tie-Yan Liu

CoRR, 2019

Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy.

Ruihan Yang, Qiwei Ye, Tie-Yan Liu

CoRR, 2019

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.

Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Optimizing Neural Networks in the Equivalent Class Space.

Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu

CoRR, 2018

2017

LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A Communication-Efficient Parallel Algorithm for Decision Tree.

Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2006

FreeSpeech: A Novel Wireless Approach for Conference Projecting and Cooperating.

Wenbin Jiang, Hai Jin, Zhiyuan Shao, Qiwei Ye

Proceedings of the Ubiquitous Intelligence and Computing, Third International Conference, 2006