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Sen Yang 0004
Person information
- affiliation: Kuaishou Technology, Beijing, China
- affiliation: Alibaba Group, Hangzhou, China
- affiliation (PhD 2014): Arizona State University, School of Computer Science and Engineering, Tempe, AZ, USA
Other persons with the same name
- Sen Yang — disambiguation page
- Sen Yang 0001 — Facebook, Inc., Menlo Park, CA, USA (and 2 more)
- Sen Yang 0002 (aka: Sen (Forrest) Yang) — LinkedIn, Sunnyvale, CA, USA (and 1 more)
- Sen Yang 0003 — National University of Defense Technology, School of Computer, Changsha, China
- Sen Yang 0005 — Chinese University of Hong Kong, Shatin, Hong Kong
- Sen Yang 0006 — Stanford University, Department of Radiation Oncology, CA, USA (and 2 more)
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2020 – today
- 2023
- [c14]Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu:
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI 2023: 8957-8965 - [c13]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI 2023: 9792-9801 - 2022
- [c12]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. ICLR 2022 - [c11]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 2022: 3288-3298 - [c10]Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang:
Prototype Feature Extraction for Multi-task Learning. WWW 2022: 2472-2481 - [i13]Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu:
Adversarial Contrastive Self-Supervised Learning. CoRR abs/2202.13072 (2022) - [i12]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. CoRR abs/2203.08243 (2022) - [i11]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022) - 2021
- [j2]Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
BAGUA: Scaling up Distributed Learning with System Relaxations. Proc. VLDB Endow. 15(4): 804-813 (2021) - [c9]Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. ASRU 2021: 1102-1109 - [c8]Haoran Wei, Fei Tao, Ji Liu, Sen Yang, Runze Su:
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from Audio Stream. ICBDT 2021: 1-5 - [c7]Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. ICCV 2021: 5219-5230 - [c6]Xuefan Zha, Wentao Zhu, Xun Lv, Sen Yang, Ji Liu:
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. NeurIPS 2021: 11384-11396 - [c5]Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu:
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. NeurIPS 2021: 15125-15137 - [i10]Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
BAGUA: Scaling up Distributed Learning with System Relaxations. CoRR abs/2107.01499 (2021) - [i9]Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen Yang, Ji Liu:
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems. CoRR abs/2108.04690 (2021) - [i8]Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu:
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR abs/2108.09076 (2021) - [i7]Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu:
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. CoRR abs/2108.11575 (2021) - [i6]Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. CoRR abs/2109.02220 (2021) - [i5]Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification. CoRR abs/2109.08839 (2021) - [i4]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies. CoRR abs/2110.10423 (2021) - [i3]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR abs/2111.05897 (2021) - 2020
- [i2]Haoran Wei, Fei Tao, Runze Su, Sen Yang, Ji Liu:
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream. CoRR abs/2010.09235 (2020)
2010 – 2019
- 2015
- [j1]Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye:
Fused Multiple Graphical Lasso. SIAM J. Optim. 25(2): 916-943 (2015) - [c4]Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye:
Structural Graphical Lasso for Learning Mouse Brain Connectivity. KDD 2015: 1385-1394 - 2014
- [c3]Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye:
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models. ICML 2014: 235-243 - 2013
- [c2]Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, Jieping Ye:
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems. KDD 2013: 641-649 - 2012
- [c1]Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye:
Feature grouping and selection over an undirected graph. KDD 2012: 922-930 - [i1]Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye:
Fused Multiple Graphical Lasso. CoRR abs/1209.2139 (2012)
Coauthor Index
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last updated on 2025-01-14 22:16 CET by the dblp team
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