Yu Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 159

Top Venues

Publications

Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. CoRR (2024)
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)
Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging. CoRR (2024)
Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation. WACV (2024)
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)
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 (2024)
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)
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)
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 (2024)
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 (2024)
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 (2024)
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. CoRR (2024)
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 (2024)
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)
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)
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)
Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark. CoRR (2024)
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 (2024)
Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng
Timo: Towards Better Temporal Reasoning for Language Models. CoRR (2024)
Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
Sparse MoE with Language Guided Routing for Multilingual Machine Translation. ICLR (2024)
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)
Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng
Reinforcement Learning with Token-level Feedback for Controllable Text Generation. CoRR (2024)
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. ICLR (2023)
Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng
Hypotheses Tree Building for One-Shot Temporal Sentence Localization. AAAI (2023)
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)
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)
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)
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)
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 (2023)
Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng
You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks? CVPR (2023)
Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation. CoRR (2023)
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)
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. CoRR (2023)
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 (2023)
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)
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
Efficient Robust Training via Backward Smoothing. AAAI (2022)
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)
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)
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. CoRR (2022)
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)
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 (2022)
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)
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)
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)
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 (2022)
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)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
The Elastic Lottery Ticket Hypothesis. CoRR (2021)
Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS (2021)
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu
Playing Lottery Tickets with Vision and Language. CoRR (2021)
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) (2021)
Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. CoRR (2021)
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)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR (2021)
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 (2021)
Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR (2021)
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)
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)
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu
Meta Module Network for Compositional Visual Reasoning. WACV (2021)
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)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
The Elastic Lottery Ticket Hypothesis. NeurIPS (2021)
Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT (2021)
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)
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)
Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS (2021)
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 (2021)
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 (2021)
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)
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Graph Optimal Transport for Cross-Domain Alignment. CoRR (2020)
Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu
Discourse-Aware Neural Extractive Text Summarization. ACL (2020)
Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. CoRR (2020)
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)
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)
Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng
INSET: Sentence Infilling with INter-SEntential Transformer. ACL (2020)
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR (2020)
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)
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)
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu
Cross-Thought for Sentence Encoder Pre-training. CoRR (2020)
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR (2020)
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang
Cross-Thought for Sentence Encoder Pre-training. EMNLP (1) (2020)
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 (2020)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. CoRR (2020)
Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos. CoRR (2020)
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
Contextual Text Style Transfer. CoRR (2020)
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia (2020)
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 (2020)
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
Contextual Text Style Transfer. EMNLP (Findings) (2020)
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 (2020)
Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CoRR (2020)
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
FreeLB: Enhanced Adversarial Training for Natural Language Understanding. ICLR (2020)
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)
Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu
Contrastive Distillation on Intermediate Representations for Language Model Compression. EMNLP (1) (2020)
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR (2020)
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
Distilling Knowledge Learned in BERT for Text Generation. ACL (2020)
Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. ACCV (4) (2020)
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
Multi-Fact Correction in Abstractive Text Summarization. CoRR (2020)
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
Efficient Robust Training via Backward Smoothing. CoRR (2020)

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Publication Activity (10 Years)

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Yu Cheng