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Jianchao Tan
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2020 – today
- 2024
- [j12]Shun Lu, Yu Hu, Longxing Yang, Jilin Mei, Zihao Sun, Jianchao Tan, Chengru Song:
PHD-NAS: Preserving helpful data to promote Neural Architecture Search. Neurocomputing 587: 127646 (2024) - [c23]Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. ICLR 2024 - [c22]Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. USENIX ATC 2024: 545-561 - [i19]Hong Mo, Xiong Zhang, Jianchao Tan, Cheng Yang, Qiong Gu, Bo Hang, Wenqi Ren:
CountFormer: Multi-View Crowd Counting Transformer. CoRR abs/2407.02047 (2024) - 2023
- [j11]Cheng-Kang Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, Yotam I. Gingold:
LoCoPalettes: Local Control for Palette-based Image Editing. Comput. Graph. Forum 42(4): i-x (2023) - [j10]Qiling Wu, Jianchao Tan, Kun Xu:
PaletteNeRF: palette-based color editing for NeRFs. Commun. Inf. Syst. 23(4): 447-475 (2023) - [j9]Yunyang Xu, Xifeng Gao, Caiming Zhang, Jianchao Tan, Xuemei Li:
High Quality Superpixel Generation Through Regional Decomposition. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1802-1815 (2023) - [j8]Zheng-Jun Du, Liang-Fu Kang, Jianchao Tan, Yotam I. Gingold, Kun Xu:
Image vectorization and editing via linear gradient layer decomposition. ACM Trans. Graph. 42(4): 97:1-97:13 (2023) - [j7]Cheng-Kang Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, Yotam I. Gingold:
ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization. ACM Trans. Graph. 42(4): 98:1-98:12 (2023) - [c21]Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu:
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI 2023: 8957-8965 - [c20]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CIKM 2023: 4930-4937 - [c19]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CVPR 2023: 11940-11949 - [c18]Chao Liao, Jinwen Huang, Huan Yuan, Peng Yao, Jianchao Tan, Dawei Zhang, Feng Deng, Xiaorui Wang, Chengru Song:
Dynamic TF-TDNN: Dynamic Time Delay Neural Network Based on Temporal-Frequency Attention for Dialect Recognition. ICASSP 2023: 1-5 - [c17]Jun Wang, Peng Yao, Feng Deng, Jianchao Tan, Chengru Song, Xiaorui Wang:
NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection. ICASSP 2023: 1-5 - [c16]Chao Liao, Jianchao Tan, Jiyuan Jia, Yi Guo, Chengru Song:
MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion. ICLR 2023 - [c15]Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. ACM Multimedia 2023: 5204-5213 - [i18]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CoRR abs/2302.14772 (2023) - [i17]Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. CoRR abs/2308.04672 (2023) - [i16]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CoRR abs/2308.09395 (2023) - [i15]Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR abs/2309.04669 (2023) - [i14]Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang:
USDC: Unified Static and Dynamic Compression for Visual Transformer. CoRR abs/2310.11117 (2023) - [i13]Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
ASP: Automatic Selection of Proxy dataset for efficient AutoML. CoRR abs/2310.11478 (2023) - 2022
- [c14]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. ICLR 2022 - [c13]Shun Lu, Yang Wang, Peng Yao, Chenxing Li, Jianchao Tan, Feng Deng, Xiaorui Wang, Chengru Song:
Conformer Space Neural Architecture Search for Multi-Task Audio Separation. INTERSPEECH 2022: 5358-5362 - [c12]Yang Wang, Chenxing Li, Feng Deng, Shun Lu, Peng Yao, Jianchao Tan, Chengru Song, Xiaorui Wang:
WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. INTERSPEECH 2022: 5373-5377 - [i12]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. CoRR abs/2203.08243 (2022) - [i11]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022) - [i10]Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu:
E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. CoRR abs/2206.02281 (2022) - [i9]Qiling Wu, Jianchao Tan, Kun Xu:
PaletteNeRF: Palette-based Color Editing for NeRFs. CoRR abs/2212.12871 (2022) - 2021
- [j6]Zheng-Jun Du, Kai-Xiang Lei, Kun Xu, Jianchao Tan, Yotam I. Gingold:
Video recoloring via spatial-temporal geometric palettes. ACM Trans. Graph. 40(4): 150:1-150:16 (2021) - [c11]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c10]Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu:
E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. CVPR Workshops 2021: 905-913 - [c9]Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CVPR 2021: 13956-13967 - [c8]Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500 - [c7]Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. ICCV 2021: 5219-5230 - [c6]Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. ICCV 2021: 11261-11272 - [c5]Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu:
UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR 2021 - [c4]Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu:
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. NeurIPS 2021: 15125-15137 - [i8]Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. CoRR abs/2107.11646 (2021) - [i7]Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. CoRR abs/2109.02220 (2021) - 2020
- [j5]Songrun Liu, Jianchao Tan, Zhigang Deng, Yotam I. Gingold:
Hyperspectral Inverse Skinning. Comput. Graph. Forum 39(6): 49-65 (2020) - [c3]Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang:
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. ECCV (13) 2020: 1-17 - [c2]Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan:
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. ECCV (25) 2020: 17-33 - [c1]Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan:
HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. ACM Multimedia 2020: 3136-3145 - [i6]Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CoRR abs/2003.11883 (2020) - [i5]Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C.-C. Jay Kuo:
Learning Color Compatibility in Fashion Outfits. CoRR abs/2007.02388 (2020) - [i4]Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang:
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. CoRR abs/2008.02693 (2020)
2010 – 2019
- 2019
- [j4]Jianchao Tan, Stephen DiVerdi, Jingwan Lu, Yotam I. Gingold:
Pigmento: Pigment-Based Image Analysis and Editing. IEEE Trans. Vis. Comput. Graph. 25(9): 2791-2803 (2019) - 2018
- [j3]Jianchao Tan, Jose Echevarria, Yotam I. Gingold:
Efficient palette-based decomposition and recoloring of images via RGBXY-space geometry. ACM Trans. Graph. 37(6): 262 (2018) - [i3]Jianchao Tan, Jose Echevarria, Yotam I. Gingold:
Palette-based image decomposition, harmonization, and color transfer. CoRR abs/1804.01225 (2018) - 2017
- [j2]Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold:
Decomposing Images into Layers via RGB-Space Geometry. ACM Trans. Graph. 36(1): 7:1-7:14 (2017) - [i2]Jianchao Tan, Stephen DiVerdi, Jingwan Lu, Yotam I. Gingold:
Pigmento: Pigment-Based Image Analysis and Editing. CoRR abs/1707.08323 (2017) - 2015
- [j1]Jianchao Tan, Marek Dvoroznák, Daniel Sýkora, Yotam I. Gingold:
Decomposing time-lapse paintings into layers. ACM Trans. Graph. 34(4): 61:1-61:10 (2015) - [i1]Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold:
Decomposing Digital Paintings into Layers via RGB-space Geometry. CoRR abs/1509.03335 (2015)
Coauthor Index
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last updated on 2024-10-07 01:22 CEST by the dblp team
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