no code implementations • 9 Apr 2024 • Shen Gao, Yifan Wang, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang
Recommendation systems play a crucial role in various domains, suggesting items based on user behavior. However, the lack of transparency in presenting recommendations can lead to user confusion.
no code implementations • 4 Mar 2024 • Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang, Zhongyuan Wang
To answer this question, we first indicate that Not all Layers are Necessary during Inference by statistically analyzing the activated layers across tasks.
no code implementations • 7 Feb 2024 • Yuanfang Zhang, Junxuan Li, Kaiqing Luo, Yiying Yang, Jiayi Han, Nian Liu, Denghui Qin, Peng Han, Chengpei Xu
Extensive experiments demonstrate that by leveraging V2V communication, the SSC performance can be increased by 8. 3% on geometric metric IoU and 6. 0% mIOU.
no code implementations • 27 Dec 2023 • Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
Spatio-temporal forecasting of future values of spatially correlated time series is important across many cyber-physical systems (CPS).
no code implementations • 7 Sep 2023 • Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang
We demonstrate that a 101B-parameter LLM with 0. 31T tokens can be trained with a budget of 100K US dollars.
1 code implementation • 14 Apr 2023 • Yiqun Yao, Siqi Fan, Xiusheng Huang, Xuezhi Fang, Xiang Li, Ziyi Ni, Xin Jiang, Xuying Meng, Peng Han, Shuo Shang, Kang Liu, Aixin Sun, Yequan Wang
With around 14% of the one-time pre-training cost, we can accurately forecast the loss for models up to 52B.
1 code implementation • 23 Jun 2022 • Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
We observe that the same intermediate molecules are visited many times in the searching process, and they are usually independently treated in previous tree-based methods (e. g., AND-OR tree search, Monte Carlo tree search).
Ranked #2 on Multi-step retrosynthesis on USPTO-190
no code implementations • 8 Oct 2021 • Peng Han, Yanning Guo, Chuanjiang Li, Hui Zhi, Yueyong Lv
This paper proposed a novel large neighborhood search-adaptive genetic algorithm (LNS-AGA) for many-to-many on-orbit repairing mission planning of geosynchronous orbit (GEO) satellites with mission deadline constraint.
no code implementations • 29 Oct 2019 • Rui Fan, Yu-An Wang, Lei Qiao, Ruiwen Yao, Peng Han, Weidong Zhang, Ioannis Pitas, Ming Liu
This linear model is then utilized to reduce the redundant information in the left and right road images.
no code implementations • 5 Feb 2015 • Peng Han
The experimental results demonstrate the promising performance of the proposed method for segmentation with selectively propagated constraints.