default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDilin Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c30]Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra:
PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 3DV 2024: 313-323- [c29]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) 2024: 10424-10443 - [c28]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR 2024: 9037-9047 - [c27]Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra:
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CVPR 2024: 16111-16121 - [c26]Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. ICASSP 2024: 10216-10220 - [c25]Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang:
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. ICML 2024 - [i29]Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR abs/2401.00604 (2024) - [i28]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR abs/2401.00909 (2024) - [i27]Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan:
MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction. CoRR abs/2402.12712 (2024) - 2023
- [c24]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CVPR 2023: 9445-9454 - [c23]Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath:
Temporally Consistent Online Depth Estimation in Dynamic Scenes. WACV 2023: 3017-3026 - [i26]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR abs/2306.04845 (2023) - [i25]Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models. CoRR abs/2309.01947 (2023) - [i24]Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang:
Drag View: Generalizable Novel View Synthesis with Unposed Imagery. CoRR abs/2310.03704 (2023) - [i23]Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra:
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR abs/2312.00863 (2023) - 2022
- [c22]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - [c21]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP 2022: 8197-8201 - [c20]Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer:
Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. ICASSP 2022: 8277-8281 - [c19]Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra:
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR 2022 - [i22]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CoRR abs/2212.01747 (2022) - [i21]Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra:
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. CoRR abs/2212.06244 (2022) - 2021
- [c18]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR 2021: 1055-1064 - [c17]Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR 2021: 6418-6427 - [c16]Chengyue Gong, Dilin Wang, Qiang Liu:
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. CVPR 2021: 13683-13692 - [c15]Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML 2021: 10760-10771 - [i20]Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR abs/2102.07954 (2021) - [i19]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR abs/2104.12753 (2021) - [i18]Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Noisy Training Improves E2E ASR for the Edge. CoRR abs/2107.04677 (2021) - [i17]Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer:
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution. CoRR abs/2110.05241 (2021) - [i16]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR abs/2110.08352 (2021) - [i15]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR abs/2111.01236 (2021) - [i14]Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath:
Temporally Consistent Online Depth Estimation in Dynamic Scenes. CoRR abs/2111.09337 (2021) - 2020
- [i13]Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR abs/2011.09011 (2020) - [i12]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR abs/2011.11778 (2020) - [i11]Chengyue Gong, Dilin Wang, Qiang Liu:
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence. CoRR abs/2011.11779 (2020)
2010 – 2019
- 2019
- [c14]ChengYue Gong, Zixuan Jiang
, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan:
Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. ICCAD 2019: 1-7 - [c13]Dilin Wang, ChengYue Gong, Qiang Liu:
Improving Neural Language Modeling via Adversarial Training. ICML 2019: 6555-6565 - [c12]Dilin Wang, Qiang Liu:
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models. ICML 2019: 6576-6585 - [c11]Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. NeurIPS 2019: 7834-7844 - [c10]Lemeng Wu, Dilin Wang, Qiang Liu:
Splitting Steepest Descent for Growing Neural Architectures. NeurIPS 2019: 10655-10665 - [i10]Dilin Wang, ChengYue Gong, Qiang Liu:
Improving Neural Language Modeling via Adversarial Training. CoRR abs/1906.03805 (2019) - [i9]Qiang Liu, Lemeng Wu, Dilin Wang:
Splitting Steepest Descent for Growing Neural Architectures. CoRR abs/1910.02366 (2019) - [i8]Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu:
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR abs/1910.03103 (2019) - [i7]Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. CoRR abs/1910.12794 (2019) - 2018
- [c9]Dilin Wang, Qiang Liu:
An Optimization View on Dynamic Routing Between Capsules. ICLR (Workshop) 2018 - [c8]Dilin Wang, Zhe Zeng, Qiang Liu:
Stein Variational Message Passing for Continuous Graphical Models. ICML 2018: 5206-5214 - [c7]Dilin Wang, Hao Liu, Qiang Liu:
Variational Inference with Tail-adaptive f-Divergence. NeurIPS 2018: 5742-5752 - [c6]Qiang Liu, Dilin Wang:
Stein Variational Gradient Descent as Moment Matching. NeurIPS 2018: 8868-8877 - [i6]Qiang Liu, Dilin Wang:
Stein Variational Gradient Descent as Moment Matching. CoRR abs/1810.11693 (2018) - [i5]Dilin Wang, Hao Liu, Qiang Liu:
Variational Inference with Tail-adaptive f-Divergence. CoRR abs/1810.11943 (2018) - 2017
- [c5]Yihao Feng, Dilin Wang, Qiang Liu:
Learning to Draw Samples with Amortized Stein Variational Gradient Descent. UAI 2017 - [i4]Qiang Liu, Dilin Wang:
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE. CoRR abs/1707.00797 (2017) - [i3]Dilin Wang, Zhe Zeng, Qiang Liu:
Structured Stein Variational Inference for Continuous Graphical Models. CoRR abs/1711.07168 (2017) - 2016
- [c4]Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen, Ming Li:
Entity Disambiguation by Knowledge and Text Jointly Embedding. CoNLL 2016: 260-269 - [c3]Qiang Liu, Dilin Wang:
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm. NIPS 2016: 2370-2378 - [c2]Dilin Wang, John W. Fisher III, Qiang Liu:
Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds. UAI 2016 - [i2]Qiang Liu, Dilin Wang:
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm. CoRR abs/1608.04471 (2016) - [i1]Dilin Wang, Qiang Liu:
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning. CoRR abs/1611.01722 (2016) - 2013
- [c1]Dilin Wang, Lei Shi, Jianwen Cao:
Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction. ICDM Workshops 2013: 349-356
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 01:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
