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ORCIDYu Cheng 0001
Person information
- affiliation (since 2023): Chinese University of Hong Kong, Department of Computer Science and Engineering, Shatin, Hong Kong
- affiliation (2023): Rice University, Houston, TX, USA
- affiliation (2018-2023): 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.uni-trier.de./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
- Yu Cheng 0010 — Guangdong University of Technology, School of information Engineering, Guangzhou, China
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2020 – today
- 2025
[c122]Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng:
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. COLING 2025: 4428-4441- 2024
- [j20]Yan Gao, Qingquan Lin, Shuang Ye, Yu Cheng, Tao Zhang, Bin Liang, Weining Lu:
Outlier detection in temporal and spatial sequences via correlation analysis based on graph neural networks. Displays 84: 102775 (2024) - [j19]Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang:
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j18]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. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 106:1-106:19 (2024) - [c121]Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng:
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. AAAI 2024: 3567-3575 - [c120]Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen:
Enhancing Low-Resource Relation Representations through Multi-View Decoupling. AAAI 2024: 17968-17976 - [c119]Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen:
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models. ACL (Findings) 2024: 7841-7864 - [c118]Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng:
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting. ACL (1) 2024: 10783-10794 - [c117]Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang:
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL (1) 2024: 13014-13033 - [c116]Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng:
Towards Robust Temporal Activity Localization Learning with Noisy Labels. LREC/COLING 2024: 16630-16642 - [c115]Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi:
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. ECCV (83) 2024: 35-52 - [c114]Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu:
Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective. ECCV (45) 2024: 290-311 - [c113]Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng:
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. EMNLP 2024: 7611-7629 - [c112]Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng:
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training. EMNLP 2024: 15913-15923 - [c111]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. ICLR 2024 - [c110]Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen:
Sparse MoE with Language Guided Routing for Multilingual Machine Translation. ICLR 2024 - [c109]Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng:
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language. ACM Multimedia 2024: 28-37 - [c108]Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng:
Reinforcement Learning with Token-level Feedback for Controllable Text Generation. NAACL-HLT (Findings) 2024: 1704-1719 - [c107]Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng:
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation. WACV 2024: 6075-6086 - [i104]Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi:
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. CoRR abs/2402.11816 (2024) - [i103]Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng:
Reinforcement Learning with Token-level Feedback for Controllable Text Generation. CoRR abs/2403.11558 (2024) - [i102]Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen:
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models. CoRR abs/2406.07001 (2024) - [i101]Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen:
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark. CoRR abs/2406.08155 (2024) - [i100]Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang:
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? CoRR abs/2406.09072 (2024) - [i99]Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng:
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. CoRR abs/2406.11256 (2024) - [i98]Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng:
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts. CoRR abs/2406.11353 (2024) - [i97]Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng:
Timo: Towards Better Temporal Reasoning for Language Models. CoRR abs/2406.14192 (2024) - [i96]Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng:
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging. CoRR abs/2406.15479 (2024) - [i95]Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng:
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion. CoRR abs/2406.15480 (2024) - [i94]Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng:
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training. CoRR abs/2406.16554 (2024) - [i93]Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu:
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. CoRR abs/2407.07403 (2024) - [i92]Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen:
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. CoRR abs/2407.11030 (2024) - [i91]Xiaoye Qu, Mingyang Song, Wei Wei, Jianfeng Dong, Yu Cheng:
Mitigating Multilingual Hallucination in Large Vision-Language Models. CoRR abs/2408.00550 (2024) - [i90]Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng:
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. CoRR abs/2408.12076 (2024) - [i89]Xiaoye Qu, Jiashuo Sun, Wei Wei, Yu Cheng:
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. CoRR abs/2408.17150 (2024) - [i88]Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng:
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. CoRR abs/2409.14083 (2024) - [i87]Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng:
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. CoRR abs/2409.19291 (2024) - [i86]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) - [i85]Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Tianlong Chen, Yu Cheng:
Accelerating Vision Diffusion Transformers with Skip Branches. CoRR abs/2411.17616 (2024) - 2023
- [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou:
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding. EMNLP (Findings) 2023: 8721-8733 - [c100]Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao:
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. ICLR 2023 - [c99]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan, Yu Cheng:
Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval. ACM Multimedia 2023: 4190-4199 - [c98]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - [i78]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. CoRR abs/2310.01334 (2023) - [i77]Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng:
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation. CoRR abs/2311.01929 (2023) - [i76]Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen:
Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning. CoRR abs/2312.17267 (2023) - 2022
- [j17]Duo Wang, Qianxia Ma, Qingyuan Zheng, Yu Cheng, Tao Zhang:
Improved local-feature-based few-shot learning with Sinkhorn metrics. Int. J. Mach. Learn. Cybern. 13(4): 1099-1114 (2022) - [j16]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) - [c97]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 - [c96]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 - [c95]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 - [c94]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. AAAI 2022: 6222-6230 - [c93]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 - [c92]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CVPR 2022: 12010-12020 - [c91]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 - [c90]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 - [c89]Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang:
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) 2022: 239-256 - [c88]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang:
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) 2022: 389-405 - [c87]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 - [c86]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 - [c85]Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li:
SemAttack: Natural Textual Attacks via Different Semantic Spaces. NAACL-HLT (Findings) 2022: 176-205 - [c84]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 - [i75]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) - [i74]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) - [i73]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CoRR abs/2203.06345 (2022) - [i72]Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li:
SemAttack: Natural Textual Attacks via Different Semantic Spaces. CoRR abs/2205.01287 (2022) - [i71]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) - [i70]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) - [i69]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) - [i68]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
- [j15]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) - [j14]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) - [j13]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) - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT 2021: 416-431 - [c77]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 - [c76]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 - [c75]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. NeurIPS 2021: 26609-26621 - [c74]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 - [c73]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 - [c72]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 - [c71]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. WACV 2021: 655-664 - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. CoRR abs/2103.16547 (2021) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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
- [c70]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 - [c69]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 - [c68]Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng:
INSET: Sentence Infilling with INter-SEntential Transformer. ACL 2020: 2502-2515 - [c67]Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu:
Discourse-Aware Neural Extractive Text Summarization. ACL 2020: 5021-5031 - [c66]Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling Knowledge Learned in BERT for Text Generation. ACL 2020: 7893-7905 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. EMNLP (Findings) 2020: 2915-2924 - [c56]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 - [c55]Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu:
FreeLB: Enhanced Adversarial Training for Natural Language Understanding. ICLR 2020 - [c54]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. ICML 2020: 1542-1553 - [c53]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 - [c52]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia 2020: 4383-4391 - [c51]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 - [i53]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) - [i52]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) - [i51]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) - [i50]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. CoRR abs/2005.00054 (2020) - [i49]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. CoRR abs/2005.00136 (2020) - [i48]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) - [i47]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) - [i46]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) - [i45]Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein:
Adaptive Learning Rates with Maximum Variation Averaging. CoRR abs/2006.11918 (2020) - [i44]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. CoRR abs/2006.14744 (2020) - [i43]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) - [i42]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) - [i41]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) - [i40]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. CoRR abs/2010.01278 (2020) - [i39]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) - [i38]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) - [i37]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
- [j12]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) - [j11]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) - [c50]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 - [c49]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 - [c48]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 - [c47]Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu:
Patient Knowledge Distillation for BERT Model Compression. EMNLP/IJCNLP (1) 2019: 4322-4331 - [c46]Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu:
Relation-Aware Graph Attention Network for Visual Question Answering. ICCV 2019: 10312-10321 - [c45]Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
Mixed-Supervised Dual-Network for Medical Image Segmentation. MICCAI (2) 2019: 192-200 - [c44]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 - [i36]Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou:
Few-shot Learning with Meta Metric Learners. CoRR abs/1901.09890 (2019) - [i35]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) - [i34]Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu:
Relation-aware Graph Attention Network for Visual Question Answering. CoRR abs/1903.12314 (2019) - [i33]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) - [i32]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) - [i31]Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
Mixed-Supervised Dual-Network for Medical Image Segmentation. CoRR abs/1907.10209 (2019) - [i30]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) - [i29]Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu:
Patient Knowledge Distillation for BERT Model Compression. CoRR abs/1908.09355 (2019) - [i28]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) - [i27]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) - [i26]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) - [i25]Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu:
UNITER: Learning UNiversal Image-TExt Representations. CoRR abs/1909.11740 (2019) - [i24]Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu:
FreeLB: Enhanced Adversarial Training for Language Understanding. CoRR abs/1909.11764 (2019) - [i23]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. CoRR abs/1910.03230 (2019) - [i22]Shuangjie Xu, Feng Xu, Yu Cheng, Pan Zhou:
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee. CoRR abs/1910.06426 (2019) - [i21]Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu:
Discourse-Aware Neural Extractive Model for Text Summarization. CoRR abs/1910.14142 (2019) - [i20]Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling the Knowledge of BERT for Text Generation. CoRR abs/1911.03829 (2019) - [i19]Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng:
INSET: Sentence Infilling with Inter-sentential Generative Pre-training. CoRR abs/1911.03892 (2019) - 2018
- [j10]Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian:
Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. 2(3): 228-247 (2018) - [j9]Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang:
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges. IEEE Signal Process. Mag. 35(1): 126-136 (2018) - [j8]Weining Lu, Yipeng Li, Yu Cheng, Deshan Meng, Bin Liang, Pan Zhou:
Early Fault Detection Approach With Deep Architectures. IEEE Trans. Instrum. Meas. 67(7): 1679-1689 (2018) - [c43]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT 2018: 1206-1215 - [c42]Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. NeurIPS 2018: 676-686 - [i18]Xi Ouyang, Yu Cheng, Yifan Jiang, Chun-Liang Li, Pan Zhou:
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond. CoRR abs/1804.02047 (2018) - [i17]Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. CoRR abs/1805.00145 (2018) - [i16]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. CoRR abs/1805.07513 (2018) - [i15]Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou:
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification. CoRR abs/1807.05799 (2018) - [i14]Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou:
Bayesian CycleGAN via Marginalizing Latent Sampling. CoRR abs/1811.07465 (2018) - [i13]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. CoRR abs/1812.02784 (2018) - [i12]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing via Dialogue. CoRR abs/1812.08352 (2018) - 2017
- [j7]Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang:
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics 73: 115-124 (2017) - [j6]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative prediction with dual uncertainty minimization from heterogeneous information. Stat. Anal. Data Min. 10(2): 107-120 (2017) - [j5]Xiaohan Li, Yu Cheng, Tao Zhang:
Robust extrinsic calibration from pedestrians. Signal Process. Image Commun. 55: 106-120 (2017) - [j4]Weining Lu, Bin Liang, Yu Cheng, Deshan Meng, Jun Yang, Tao Zhang:
Deep Model Based Domain Adaptation for Fault Diagnosis. IEEE Trans. Ind. Electron. 64(3): 2296-2305 (2017) - [j3]Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang:
Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Process. 26(9): 4321-4330 (2017) - [c41]Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CVPR 2017: 1131-1140 - [c40]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CVPR 2017: 4003-4011 - [c39]Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou:
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification. ICCV 2017: 4743-4752 - [c38]Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu:
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM 2017: 787-792 - [i11]Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu:
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR abs/1701.07474 (2017) - [i10]Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou:
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification. CoRR abs/1708.02286 (2017) - [i9]Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu:
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR abs/1709.01648 (2017) - [i8]Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang:
A Survey of Model Compression and Acceleration for Deep Neural Networks. CoRR abs/1710.09282 (2017) - 2016
- [c37]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CVPR 2016: 2295-2304 - [c36]Yu Cheng, Nalini K. Ratha, Sharath Pankanti:
Outlier faces detector via efficient cohesive subgraph identification. ICIP 2016: 1659-1663 - [c35]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Deep Structured Energy Based Models for Anomaly Detection. ICML 2016: 1100-1109 - [c34]Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu:
Doubly Convolutional Neural Networks. NIPS 2016: 1082-1090 - [i7]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CoRR abs/1604.06433 (2016) - [i6]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Deep Structured Energy Based Models for Anomaly Detection. CoRR abs/1605.07717 (2016) - [i5]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Doubly Convolutional Neural Networks. CoRR abs/1610.09716 (2016) - [i4]Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang:
Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR abs/1611.01799 (2016) - [i3]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CoRR abs/1611.05138 (2016) - [i2]Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CoRR abs/1611.05377 (2016) - 2015
- [c33]Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary:
Reducing infrequent-token perplexity via variational corpora. ACL (2) 2015: 609-615 - [c32]Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. ICCV 2015: 2857-2865 - [c31]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM 2015: 361-369 - [i1]Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
Fast Neural Networks with Circulant Projections. CoRR abs/1502.03436 (2015) - 2014
- [j2]Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel Honbo, Ankit Agrawal, Alok N. Choudhary:
MuSES: Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intell. Syst. 29(4): 34-42 (2014) - [c30]Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok N. Choudhary:
Temporal Sequence Modeling for Video Event Detection. CVPR 2014: 2235-2242 - [c29]Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang:
Social Role Identification via Dual Uncertainty Minimization Regularization. ICDM 2014: 767-772 - [c28]Yusheng Xie, Yu Cheng, Ankit Agrawal, Alok N. Choudhary:
Estimating Online User Location Distribution without GPS Location. ICDM Workshops 2014: 936-943 - [c27]Yu Cheng, Alok N. Choudhary, Jun Wang, Sharath Pankanti, Huan Liu:
Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data. ICDM Workshops 2014: 1163-1170 - [c26]Yu Cheng, Lisa M. Brown, Qibin Fan, Rogério Schmidt Feris, Sharath Pankanti, Tao Zhang:
RiskWheel: Interactive visual analytics for surveillance event detection. ICME 2014: 1-6 - [c25]Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary:
Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. SDM 2014: 10-18 - [c24]Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti:
IBM-Northwestern@TRECVID 2014: Surveillance Event Detection. TRECVID 2014 - 2013
- [c23]Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A probabilistic graphical model for brand reputation assessment in social networks. ASONAM 2013: 223-230 - [c22]Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok N. Choudhary:
Elver: Recommending Facebook pages in cold start situation without content features. IEEE BigData 2013: 475-479 - [c21]Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Mining diabetes complication and treatment patterns for clinical decision support. CIKM 2013: 279-288 - [c20]Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary:
Bootstrapping active name disambiguation with crowdsourcing. CIKM 2013: 1213-1216 - [c19]Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary:
Feedback-driven multiclass active learning for data streams. CIKM 2013: 1311-1320 - [c18]Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary:
Forecast Oriented Classification of Spatio-Temporal Extreme Events. IJCAI 2013: 2952-2954 - [c17]Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo:
JobMiner: a real-time system for mining job-related patterns from social media. KDD 2013: 1450-1453 - [c16]Xiaohan Li, Yu Cheng, Song Chen, Tao Zhang:
A robot-in-the-loop face detection and recognition system with coordinaive control platform. ROBIO 2013: 1163-1168 - [c15]Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang:
Graphical Modeling of Macro Behavioral Targeting in Social Networks. SDM 2013: 740-748 - [c14]Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - 2012
- [c13]Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary, Yi Gao, Jiangtao Gou:
Probabilistic macro behavioral targeting. DUBMMSM 2012: 7-10 - [c12]Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Alok N. Choudhary:
On active learning in hierarchical classification. CIKM 2012: 2467-2470 - [c11]Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary:
CluChunk: clustering large scale user-generated content incorporating chunklet information. BigMine 2012: 12-19 - [c10]Yusheng Xie, Daniel Honbo, Alok N. Choudhary, Kunpeng Zhang, Yu Cheng, Ankit Agrawal:
VOXSUP: a social engagement framework. KDD 2012: 1556-1559 - [c9]Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Sentiment identification by incorporating syntax, semantics and context information. SIGIR 2012: 1143-1144 - 2011
- [c8]Kunpeng Zhang, Yu Cheng, Wei-keng Liao, Alok N. Choudhary:
Mining millions of reviews: a technique to rank products based on importance of reviews. ICEC 2011: 12:1-12:8 - [c7]Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary:
SES: Sentiment Elicitation System for Social Media Data. ICDM Workshops 2011: 129-136 - [c6]Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Learning to Group Web Text Incorporating Prior Information. ICDM Workshops 2011: 212-219 - 2010
- [j1]Song Chen, Tao Zhang, Chengpu Zhang, Yu Cheng:
A real-time face detection and recognition system for a mobile robot in a complex background. Artif. Life Robotics 15(4): 439-443 (2010) - [c5]Yu Cheng, Tao Zhang:
A fast clustering approach for effectively searching person specific image. ICDIP 2010: 75460Y - [c4]Yu Cheng, Tao Zhang:
Design of Fast Multiple String Searching Based on Improved Prefix Tree. WKDD 2010: 111-114
2000 – 2009
- 2009
- [c3]Yu Cheng, Tao Zhang, Song Chen:
VisionSynaptics: a system convert hand-writing and image symbol into computer symbol. ICIS 2009: 82-85 - [c2]Tao Zhang, Xiaqin Li, Yi Zhu, Song Chen, Yu Cheng, Jingyan Song:
Formation and obstacle avoidance in the unknown environment of multi-robot system. ROBIO 2009: 729-734 - [c1]Yu Cheng, Tao Zhang, Song Chen:
Fast person-specific image retrieval using a simple and efficient clustering method. ROBIO 2009: 1973-1977
Coauthor Index
Ahmed Awadallah 0001
aka: Ahmed Hassan Awadallah
aka: Ahmed Hassan Awadallah
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
[j16] [c97] [c94] [c83] [c82] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [i67] [i66] [i64] [i63] [i62] [i60] [i59] [i58] [i54] [c70] [c69] [c67] [c66] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [i53] [i52] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [c50] [c49] [c48] [c47] [c46] [i35] [i34] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i21] [i20] [i13] [i12]
[j16] [c97] [c94] [c83] [c82] [c81] [c79] [c78] [c76] [c75] [c74] [c72] [c71] [i67] [i66] [i64] [i63] [i62] [i61] [i60] [i58] [c70] [c69] [c67] [c66] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [i53] [i52] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [c50] [c49] [c47] [c46] [i35] [i34] [i29] [i27] [i26] [i25] [i24] [i23] [i21] [i20] [i13] [i12] [c24]
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