Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYu Cheng 0001
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (former): IBM T.J. Watson Center, Yorktown Heights, NY, USA
- affiliation (PhD 2015): Northwestern University, Evanston, IL, USA
Other persons with the same name
- Yu Cheng — disambiguation page
- Yu Cheng 0002
![[0000-0002-0019-2570]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0019-2570")
— Brown University, Providence, RI, USA (and 3 more) - Yu Cheng 0003 — Illinois Institute of Technology, Department of Electrical and Computer Engineering Technology, Chicago, IL, USA (and 2 more)
- Yu Cheng 0004 — Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Beijing, China
- Yu Cheng 0005 — Ant Financial Services Group, Hangzhou, China (and 1 more)
- Yu Cheng 0006 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA (and 1 more)
- Yu Cheng 0007 — University of California, Merced, USA
- Yu Cheng 0009 — National University of Singapore, Yale-NUS College
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c95]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. AAAI 2023: 579-587- [c94]Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng:
Hypotheses Tree Building for One-Shot Temporal Sentence Localization. AAAI 2023: 1640-1648 - [c93]Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) 2023: 8208-8222 - [c92]Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng:
You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks? CVPR 2023: 24605-24615 - [c91]Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah:
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. EACL 2023: 1758-1770 - [c90]Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao:
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. ICLR 2023 - [i72]Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. CoRR abs/2301.00514 (2023) - [i71]Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng:
Hypotheses Tree Building for One-Shot Temporal Sentence Localization. CoRR abs/2301.01871 (2023) - [i70]Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao:
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. CoRR abs/2303.10512 (2023) - [i69]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng:
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. CoRR abs/2305.04123 (2023) - [i68]Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren:
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. CoRR abs/2305.14676 (2023) - 2022
- [j15]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang:
Adversarial Feature Augmentation and Normalization for Visual Recognition. Trans. Mach. Learn. Res. 2022 (2022) - [c89]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu:
Playing Lottery Tickets with Vision and Language. AAAI 2022: 652-660 - [c88]Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. AAAI 2022: 1665-1673 - [c87]Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. AAAI 2022: 1683-1691 - [c86]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. AAAI 2022: 6222-6230 - [c85]Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren:
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. ACL (1) 2022: 2763-2775 - [c84]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CVPR 2022: 12010-12020 - [c83]Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan:
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. ECCV (27) 2022: 69-87 - [c82]Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang:
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. ECCV (3) 2022: 156-172 - [c81]Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Hassan Awadallah, Zhangyang Wang:
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) 2022: 239-256 - [c80]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang:
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) 2022: 389-405 - [c79]Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. EMNLP (Findings) 2022: 590-600 - [c78]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. ACM Multimedia 2022: 5351-5360 - [c77]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS 2022 - [i67]Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. CoRR abs/2201.00454 (2022) - [i66]Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. CoRR abs/2201.05307 (2022) - [i65]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CoRR abs/2203.06345 (2022) - [i64]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. CoRR abs/2207.05641 (2022) - [i63]Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan:
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. CoRR abs/2207.12661 (2022) - [i62]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. CoRR abs/2208.13753 (2022) - [i61]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. CoRR abs/2210.14793 (2022) - 2021
- [j14]Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
A novel dual-network architecture for mixed-supervised medical image segmentation. Comput. Medical Imaging Graph. 89: 101841 (2021) - [j13]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement Without Paired Supervision. IEEE Trans. Image Process. 30: 2340-2349 (2021) - [j12]Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou:
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4389-4403 (2021) - [c76]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) 2021: 2195-2207 - [c75]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Question Answering. ACL/IJCNLP (Findings) 2021: 3958-3968 - [c74]Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu:
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training. CVPR 2021: 4155-4165 - [c73]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie:
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding. CVPR 2021: 11235-11244 - [c72]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. ICLR 2021 - [c71]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT 2021: 416-431 - [c70]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS 2021: 19974-19988 - [c69]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS 2021: 20941-20955 - [c68]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. NeurIPS 2021: 26609-26621 - [c67]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c66]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. NeurIPS Datasets and Benchmarks 2021 - [c65]Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein:
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients. ECML/PKDD (3) 2021: 628-643 - [c64]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. WACV 2021: 655-664 - [i60]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR abs/2101.00063 (2021) - [i59]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR abs/2103.00397 (2021) - [i58]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie:
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding. CoRR abs/2103.11555 (2021) - [i57]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu:
Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR abs/2103.12171 (2021) - [i56]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. CoRR abs/2103.16547 (2021) - [i55]Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang:
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. CoRR abs/2104.00285 (2021) - [i54]Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu:
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training. CoRR abs/2104.00332 (2021) - [i53]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu:
Playing Lottery Tickets with Vision and Language. CoRR abs/2104.11832 (2021) - [i52]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR abs/2106.04533 (2021) - [i51]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR abs/2106.04632 (2021) - [i50]Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah:
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression. CoRR abs/2110.08419 (2021) - [i49]Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren:
A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models. CoRR abs/2110.08484 (2021) - [i48]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. CoRR abs/2111.00160 (2021) - [i47]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. CoRR abs/2111.02840 (2021) - 2020
- [c63]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c62]Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. ACCV (4) 2020: 268-283 - [c61]Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng:
INSET: Sentence Infilling with INter-SEntential Transformer. ACL 2020: 2502-2515 - [c60]Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu:
Discourse-Aware Neural Extractive Text Summarization. ACL 2020: 5021-5031 - [c59]Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling Knowledge Learned in BERT for Text Generation. ACL 2020: 7893-7905 - [c58]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CVPR 2020: 696-705 - [c57]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR 2020: 8362-8371 - [c56]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [c55]Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu:
UNITER: UNiversal Image-TExt Representation Learning. ECCV (30) 2020: 104-120 - [c54]Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu:
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. ECCV (6) 2020: 565-580 - [c53]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang:
Cross-Thought for Sentence Encoder Pre-training. EMNLP (1) 2020: 412-421 - [c52]Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. EMNLP (1) 2020: 498-508 - [c51]Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. EMNLP (1) 2020: 2046-2065 - [c50]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. EMNLP (Findings) 2020: 2915-2924 - [c49]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) 2020: 9320-9331 - [c48]Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu:
FreeLB: Enhanced Adversarial Training for Natural Language Understanding. ICLR 2020 - [c47]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. ICML 2020: 1542-1553 - [c46]Xiaoye Qu, Pengwei Tang, Zhikang Zou, Yu Cheng, Jianfeng Dong, Pan Zhou, Zichuan Xu:
Fine-grained Iterative Attention Network for Temporal Language Localization in Videos. ACM Multimedia 2020: 4280-4288 - [c45]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia 2020: 4383-4391 - [c44]Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu:
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. NeurIPS 2020 - [i46]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR abs/2003.11618 (2020) - [i45]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR abs/2003.11690 (2020) - [i44]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CoRR abs/2003.12862 (2020) - [i43]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. CoRR abs/2005.00054 (2020) - [i42]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. CoRR abs/2005.00136 (2020) - [i41]Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR abs/2005.00200 (2020) - [i40]Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu:
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. CoRR abs/2005.07310 (2020) - [i39]Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu:
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. CoRR abs/2006.06195 (2020) - [i38]Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein:
Adaptive Learning Rates with Maximum Variation Averaging. CoRR abs/2006.11918 (2020) - [i37]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. CoRR abs/2006.14744 (2020) - [i36]Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou:
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos. CoRR abs/2008.02448 (2020) - [i35]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. CoRR abs/2009.06097 (2020) - [i34]Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. CoRR abs/2009.14167 (2020) - [i33]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. CoRR abs/2010.01278 (2020) - [i32]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR abs/2010.02329 (2020) - [i31]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i30]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu:
Cross-Thought for Sentence Encoder Pre-training. CoRR abs/2010.03652 (2020)
2010 – 2019
- 2019
- [j11]Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang:
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning. Neurocomputing 349: 202-211 (2019) - [j10]Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs. Neurocomputing 367: 75-83 (2019) - [c43]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. ACL (1) 2019: 6463-6474 - [c42]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR 2019: 6329-6338 - [c41]Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun:
Domain Adaptive Text Style Transfer. EMNLP/IJCNLP (1) 2019: 3302-3311 - [c40]Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu:
Patient Knowledge Distillation for BERT Model Compression. EMNLP/IJCNLP (1) 2019: 4322-4331 - [c39]Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu:
Relation-Aware Graph Attention Network for Visual Question Answering. ICCV 2019: 10312-10321 - [c38]Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou:
Adversarial Category Alignment Network for Cross-domain Sentiment Classification. NAACL-HLT (1) 2019: 2496-2508 - [i29]Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou:
Few-shot Learning with Meta Metric Learners. CoRR abs/1901.09890 (2019) - [i28]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. CoRR abs/1902.00579 (2019) - [i27]Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu:
Relation-aware Graph Attention Network for Visual Question Answering. CoRR abs/1903.12314 (2019) - [i26]Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang:
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning. CoRR abs/1904.03014 (2019) - [i25]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement without Paired Supervision. CoRR abs/1906.06972 (2019) - [i24]Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. CoRR abs/1908.02797 (2019) - [i23]Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu:
Patient Knowledge Distillation for BERT Model Compression. CoRR abs/1908.09355 (2019) - [i22]Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan:
Domain Adaptive Text Style Transfer. CoRR abs/1908.09395 (2019) - [i21]Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. CoRR abs/1909.05288 (2019) - [i20]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. CoRR abs/1909.05316 (2019) - [i19]Yen-Chun Chen,