Jianchao Tan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Image Decomposition

Neural Architecture

Top Venues

ACM Trans. Graph.

Publications

Hong Mo, Xiong Zhang, Jianchao Tan, Cheng Yang, Qiong Gu, Bo Hang, Wenqi Ren
CountFormer: Multi-View Crowd Counting Transformer. CoRR (2024)
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)
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 (2024)
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)
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 (2023)
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)
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)
Cheng-Kang Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, Yotam I. Gingold
: Local Control for Palette-based Image Editing. Comput. Graph. Forum 42 (4) (2023)
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)
Qiling Wu, Jianchao Tan, Kun Xu
PaletteNeRF: palette-based color editing for NeRFs. Commun. Inf. Syst. 23 (4) (2023)
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) (2023)
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)
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)
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) (2023)
Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. CoRR (2023)
Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang
ASP: Automatic Selection of Proxy dataset for efficient AutoML. CoRR (2023)
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 (2023)
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)
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) (2023)
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 (2023)
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)
Yang Jin, Kun Xu, 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 (2023)
Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
Unified Visual Transformer Compression. ICLR (2022)
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 (2022)
Qiling Wu, Jianchao Tan, Kun Xu
PaletteNeRF: Palette-based Color Editing for NeRFs. CoRR (2022)
Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
Unified Visual Transformer Compression. CoRR (2022)
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 (2022)
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)
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)
Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. CoRR (2021)
Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. NeurIPS (2021)
Zhengjun Du, Kai-Xiang Lei, Kun Xu, Jianchao Tan, Yotam I. Gingold
Video recoloring via spatial-temporal geometric palettes. ACM Trans. Graph. 40 (4) (2021)
Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. ICCV (2021)
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)
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)
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 (2021)
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)
Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu
UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR (2021)
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)
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)
Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CoRR (2020)
Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan
HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. ACM Multimedia (2020)
Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C.-C. Jay Kuo
Learning Color Compatibility in Fashion Outfits. CoRR (2020)
Songrun Liu, Jianchao Tan, Zhigang Deng, Yotam I. Gingold
Hyperspectral Inverse Skinning. Comput. Graph. Forum 39 (6) (2020)
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)
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 (2020)
Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. ECCV (25) (2020)
Jianchao Tan, Stephen DiVerdi, Jingwan Lu, Yotam I. Gingold
Pigmento: Pigment-Based Image Analysis and Editing. IEEE Trans. Vis. Comput. Graph. 25 (9) (2019)
Jianchao Tan, Jose I. Echevarria, Yotam I. Gingold
Palette-based image decomposition, harmonization, and color transfer. CoRR (2018)
Jianchao Tan, Jose I. Echevarria, Yotam I. Gingold
Efficient palette-based decomposition and recoloring of images via RGBXY-space geometry. ACM Trans. Graph. 37 (6) (2018)
Jianchao Tan, Stephen DiVerdi, Jingwan Lu, Yotam I. Gingold
Pigmento: Pigment-Based Image Analysis and Editing. CoRR (2017)
Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold
Decomposing Images into Layers via RGB-Space Geometry. ACM Trans. Graph. 36 (1) (2017)
Jianchao Tan, Marek Dvoroznák, Daniel Sýkora, Yotam I. Gingold
Decomposing time-lapse paintings into layers. ACM Trans. Graph. 34 (4) (2015)
Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold
Decomposing Digital Paintings into Layers via RGB-space Geometry. CoRR (2015)