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2020 – today
- 2025
[j8]Xiaoyu Mo
, Jintian Ge, Haochen Liu, Weigao Sun, Chen Lv:
Multimodal Multi-Agent Joint Traffic Simulation With Collision and Run-Off-Road Mitigation. IEEE Trans. Intell. Transp. Syst. 26(10): 15582-15595 (2025)- [j7]Xiaoyu Mo, Baichuan Lou, Zhiqi Mao, Qihang Huang, Weigao Sun, Yafei Wang, Chen Lv:
Traffic Scene Representation and Encoding With Graph Structure Learning and Exploration. IEEE Trans. Intell. Transp. Syst. 26(10): 16840-16853 (2025) - [j6]Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
LASP: Linear Attention Sequence Parallelism. Trans. Mach. Learn. Res. 2025 (2025) - [c8]Weigao Sun, Yongtuo Liu, Xiaqiang Tang, Xiaoyu Mo:
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters. AAAI 2025: 20725-20733 - [c7]Xiaqiang Tang, Jian Li, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie:
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. ACL (1) 2025: 21567-21585 - [c6]Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng:
Liger: Linearizing Large Language Models to Gated Recurrent Structures. ICML 2025 - [i22]MiniMax, Aonian Li, Bangwei Gong, Bo Yang, Boji Shan, Chang Liu, Cheng Zhu, Chunhao Zhang, Congchao Guo, Da Chen, Dong Li, Enwei Jiao, Gengxin Li, Guojun Zhang, Haohai Sun, Houze Dong, Jiadai Zhu, Jiaqi Zhuang, Jiayuan Song, Jin Zhu, Jingtao Han, Jingyang Li, Junbin Xie, Junhao Xu, Junjie Yan, Kaishun Zhang, Kecheng Xiao, Kexi Kang, Le Han, Leyang Wang, Lianfei Yu, Liheng Feng, Lin Zheng, Linbo Chai, Long Xing, Meizhi Ju, Mingyuan Chi, Mozhi Zhang, Peikai Huang, Pengcheng Niu, Pengfei Li, Pengyu Zhao, Qi Yang, Qidi Xu, Qiexiang Wang, Qin Wang, Qiuhui Li, Ruitao Leng, Shengmin Shi, Shuqi Yu, Sichen Li, Songquan Zhu, Tao Huang, Tianrun Liang, Weigao Sun, Weixuan Sun, Weiyu Cheng, Wenkai Li, Xiangjun Song, Xiao Su, Xiaodong Han, Xinjie Zhang, Xinzhu Hou, Xu Min, Xun Zou, Xuyang Shen, Yan Gong, Yingjie Zhu, Yipeng Zhou, Yiran Zhong, Yongyi Hu, Yuanxiang Fan, Yue Yu, Yufeng Yang, Yuhao Li, Yunan Huang, Yunji Li, Yunpeng Huang, Yunzhi Xu, Yuxin Mao, Zehan Li, Zekang Li, Zewei Tao, Zewen Ying, Zhaoyang Cong, Zhen Qin, Zhenhua Fan, Zhihang Yu, Zhuo Jiang, Zijia Wu:
MiniMax-01: Scaling Foundation Models with Lightning Attention. CoRR abs/2501.08313 (2025) - [i21]Weigao Sun, Disen Lan, Yiran Zhong, Xiaoye Qu, Yu Cheng:
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid. CoRR abs/2502.07563 (2025) - [i20]Jusen Du, Weigao Sun, Disen Lan, Jiaxi Hu, Yu Cheng:
MoM: Linear Sequence Modeling with Mixture-of-Memories. CoRR abs/2502.13685 (2025) - [i19]Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng:
Liger: Linearizing Large Language Models to Gated Recurrent Structures. CoRR abs/2503.01496 (2025) - [i18]Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng:
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts. CoRR abs/2503.05447 (2025) - [i17]Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - [i16]Xiaqiang Tang, Jian Li, Keyu Hu, Du Nan, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie:
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. CoRR abs/2505.20767 (2025) - [i15]Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun:
Comba: Improving Bilinear RNNs with Closed-loop Control. CoRR abs/2506.02475 (2025) - [i14]Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng:
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. CoRR abs/2508.09834 (2025) - [i13]Xiaqiang Tang, Yi Wang, Keyu Hu, Rui Xu, Chuang Li, Weigao Sun, Jian Li, Sihong Xie:
SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation. CoRR abs/2508.17225 (2025) - [i12]Yuhua Jiang, Shuang Cheng, Yihao Liu, Ermo Hua, Che Jiang, Weigao Sun, Yu Cheng, Feifei Gao, Biqing Qi, Bowen Zhou:
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism. CoRR abs/2510.26083 (2025) - 2024
- [j5]Xiaqiang Tang, Weigao Sun, Siyuan Hu, Yiyang Sun, Yafeng Guo:
MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes. IEEE Robotics Autom. Lett. 9(1): 891-898 (2024) - [c5]Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong:
Scaling Laws for Linear Complexity Language Models. EMNLP 2024: 16377-16426 - [c4]Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
CO2: Efficient Distributed Training with Full Communication-Computation Overlap. ICLR 2024 - [c3]Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong:
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention. ICML 2024 - [i11]Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong:
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models. CoRR abs/2401.04658 (2024) - [i10]Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
CO2: Efficient Distributed Training with Full Communication-Computation Overlap. CoRR abs/2401.16265 (2024) - [i9]Xiaqiang Tang, Weigao Sun, Siyuan Hu, Yiyang Sun, Yafeng Guo:
MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes. CoRR abs/2403.00353 (2024) - [i8]Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
Linear Attention Sequence Parallelism. CoRR abs/2404.02882 (2024) - [i7]Zhen Qin, Songlin Yang, Weixuan Sun, Xuyang Shen, Dong Li, Weigao Sun, Yiran Zhong:
HGRN2: Gated Linear RNNs with State Expansion. CoRR abs/2404.07904 (2024) - [i6]Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong:
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention. CoRR abs/2405.17381 (2024) - [i5]Zhen Qin, Xuyang Shen, Dong Li, Weigao Sun, Stan Birchfield, Richard I. Hartley, Yiran Zhong:
Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective. CoRR abs/2405.17383 (2024) - [i4]Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong:
Scaling Laws for Linear Complexity Language Models. CoRR abs/2406.16690 (2024) - [i3]Xiaoye Qu, Daize Dong, Xuyang Hu, Tong Zhu, Weigao Sun, Yu Cheng:
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training. CoRR abs/2411.15708 (2024) - 2023
- [i2]Zhen Qin, Dong Li, Weigao Sun, Weixuan Sun, Xuyang Shen, Xiaodong Han, Yunshen Wei, Baohong Lv, Fei Yuan, Xiao Luo, Yu Qiao, Yiran Zhong:
Scaling TransNormer to 175 Billion Parameters. CoRR abs/2307.14995 (2023) - 2021
- [j4]Wang Chen, Rong Guo, Weigao Sun, Dingyou Lu:
The Relationship Between CT Signs of Computed Tomography and Risk Classification of Gastric Stromal Tumors. J. Medical Imaging Health Informatics 11(2): 642-647 (2021) - 2020
- [j3]Hai-Tao Zhang, Weigao Sun, Yuanzheng Li, Dongfei Fu, Ye Yuan:
A Fast Optimal Power Flow Algorithm Using Powerball Method. IEEE Trans. Ind. Informatics 16(11): 6993-7003 (2020) - [j2]Weigao Sun, Mohsen Zamani, Mohammad Reza Hesamzadeh, Hai-Tao Zhang:
Data-Driven Probabilistic Optimal Power Flow With Nonparametric Bayesian Modeling and Inference. IEEE Trans. Smart Grid 11(2): 1077-1090 (2020) - [c2]Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan:
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. IJCAI 2020: 3258-3266
2010 – 2019
- 2019
- [j1]Weigao Sun, Mohsen Zamani, Hai-Tao Zhang, Yuanzheng Li:
Probabilistic Optimal Power Flow With Correlated Wind Power Uncertainty via Markov Chain Quasi-Monte-Carlo Sampling. IEEE Trans. Ind. Informatics 15(11): 6058-6069 (2019) - [c1]Weigao Sun, Mohsen Zamani:
A Nonparametric Bayesian Approach for Probabilistic Representation of Power Uncertainties. SmartGridComm 2019: 1-6 - 2018
- [i1]Weigao Sun, Mohsen Zamani, Hai-Tao Zhang, Yuanzheng Li:
Probabilistic Optimal Power Flow Considering Correlation of Wind Farms via Markov Chain Quasi-Monte Carlo Sampling. CoRR abs/1809.05228 (2018)
Coauthor Index
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