Decomposing Digital Paintings into Layers via RGB-space Geometry. - Jianchao Tan; Jyh-Ming Lien; Yotam I. Gingold (CoRR, 2015)

Decomposing time-lapse paintings into layers. - Jianchao Tan; Marek Dvoroznák; Daniel Sýkora; Yotam I. Gingold (ACM Trans. Graph., 2015)

Decomposing Images into Layers via RGB-Space Geometry. - Jianchao Tan; Jyh-Ming Lien; Yotam I. Gingold (ACM Trans. Graph., 2017)

Palette-based image decomposition, harmonization, and color transfer. - Jianchao Tan; Jose Echevarria; Yotam I. Gingold (CoRR, 2018)

Efficient palette-based decomposition and recoloring of images via RGBXY-space geometry. - Jianchao Tan; Jose Echevarria; Yotam I. Gingold (ACM Trans. Graph., 2018)

Pigmento: Pigment-Based Image Analysis and Editing. - Jianchao Tan; Stephen DiVerdi; Jingwan Lu; Yotam I. Gingold (IEEE Trans. Vis. Comput. Graph., 2019)

Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. - Lin Huang 004; Jianchao Tan; Ji Liu 002; Junsong Yuan 001 (ECCV (25), 2020)

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. - Xuewen Yang; Heming Zhang 003; Di Jin; Yingru Liu; Chi-Hao Wu 001; Jianchao Tan; Dongliang Xie; Jue Wang 001; Xin Wang 001 (ECCV (13), 2020)

HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. - Lin Huang 004; Jianchao Tan; Jingjing Meng; Ji Liu 002; Junsong Yuan 001 (ACM Multimedia, 2020)

Hyperspectral Inverse Skinning. - Songrun Liu; Jianchao Tan; Zhigang Deng 001; Yotam I. Gingold (Comput. Graph. Forum, 2020)

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. - Xiong Zhang; Hongmin Xu; Hong Mo; Jianchao Tan; Cheng Yang; Wenqi Ren (CoRR, 2020)

Learning Color Compatibility in Fashion Outfits. - Heming Zhang 003; Xuewen Yang; Jianchao Tan; Chi-Hao Wu 001; Jue Wang 001; C.-C. Jay Kuo (CoRR, 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. - Zhenyu Hu; Pengcheng Pi; Zhenyu Wu 002; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CVPR Workshops, 2021)

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. - Xiong Zhang; Hongmin Xu; Hong Mo; Jianchao Tan; Cheng Yang; Lei Wang; Wenqi Ren (CVPR, 2021)

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. - Xiaohan Ding; Tianxiang Hao; Jianchao Tan; Ji Liu 002; Jungong Han; Yuchen Guo; Guiguang Ding (ICCV, 2021)

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. - Yi Guo; Huan Yuan; Jianchao Tan; Zhangyang Wang; Sen Yang 004; Ji Liu 002 (ICCV, 2021)

Hand Image Understanding via Deep Multi-Task Learning. - Xiong Zhang; Hongsheng Huang; Jianchao Tan; Hongmin Xu; Cheng Yang; Guozhu Peng; Lei Wang; Ji Liu 002 (ICCV, 2021)

UMEC: Unified model and embedding compression for efficient recommendation systems. - Jiayi Shen; Haotao Wang; Shupeng Gui; Jianchao Tan; Zhangyang Wang; Ji Liu 002 (ICLR, 2021)

TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. - Shun Lu 001; Jixiang Li; Jianchao Tan; Sen Yang 004; Ji Liu 002 (NeurIPS, 2021)

Video recoloring via spatial-temporal geometric palettes. - Zheng-Jun Du; Kai-Xiang Lei; Kun Xu 003; Jianchao Tan; Yotam I. Gingold (ACM Trans. Graph., 2021)

Unified Visual Transformer Compression. - Shixing Yu; Tianlong Chen 001; Jiayi Shen; Huan Yuan; Jianchao Tan; Sen Yang 004; Ji Liu 002; Zhangyang Wang (ICLR, 2022)

Conformer Space Neural Architecture Search for Multi-Task Audio Separation. - Shun Lu 001; Yang Wang; Peng Yao; Chenxing Li; Jianchao Tan; Feng Deng; Xiaorui Wang; Chengru Song (INTERSPEECH, 2022)

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. - Yang Wang; Chenxing Li; Feng Deng; Shun Lu 001; Peng Yao; Jianchao Tan; Chengru Song; Xiaorui Wang (INTERSPEECH, 2022)

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. - Yi Guo; Zhaocheng Liu; Jianchao Tan; Chao Liao; Daqing Chang; Qiang Liu 006; Sen Yang 004; Ji Liu 002; Dongying Kong; Zhi Chen; Chengru Song (CoRR, 2022)

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. - Zhenyu Hu; Zhenyu Wu 002; Pengcheng Pi; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CoRR, 2022)

PaletteNeRF: Palette-based Color Editing for NeRFs. - Qiling Wu; Jianchao Tan; Kun Xu 003 (CoRR, 2022)

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. - Shun Lu 001; Yu Hu 001; Peihao Wang; Yan Han 001; Jianchao Tan; Jixiang Li; Sen Yang 004; Ji Liu 002 (AAAI, 2023)

SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. - Beichuan Zhang 002; Chenggen Sun; Jianchao Tan; Xinjun Cai; Jun Zhao; Mengqi Miao; Kang Yin; Chengru Song; Na Mou; Yang Song 008 (CIKM, 2023)

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. - Shun Lu 001; Yu Hu 001; Longxing Yang; Zihao Sun; Jilin Mei; Jianchao Tan; Chengru Song (CVPR, 2023)

Dynamic TF-TDNN: Dynamic Time Delay Neural Network Based on Temporal-Frequency Attention for Dialect Recognition. - Chao Liao; Jinwen Huang; Huan Yuan; Peng Yao; Jianchao Tan; Dawei Zhang; Feng Deng; Xiaorui Wang; Chengru Song (ICASSP, 2023)

NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection. - Jun Wang; Peng Yao; Feng Deng; Jianchao Tan; Chengru Song; Xiaorui Wang (ICASSP, 2023)

MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion. - Chao Liao; Jianchao Tan; Jiyuan Jia; Yi Guo; Chengru Song (ICLR, 2023)

Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. - Jue Chen; Huan Yuan; Jianchao Tan; Bin Chen; Chengru Song; Di Zhang (ACM Multimedia, 2023)

PaletteNeRF: palette-based color editing for NeRFs. - Qiling Wu; Jianchao Tan; Kun Xu (Commun. Inf. Syst., 2023)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chenyi Lei; An Liu; Chengru Song; Xiaoqiang Lei; Di Zhang; et al. (CoRR, 2023)

USDC: Unified Static and Dynamic Compression for Visual Transformer. - Huan Yuan; Chao Liao; Jianchao Tan; Peng Yao; Jiyuan Jia; Bin Chen; Chengru Song; Di Zhang (CoRR, 2023)

ASP: Automatic Selection of Proxy dataset for efficient AutoML. - Peng Yao; Chao Liao; Jiyuan Jia; Jianchao Tan; Bin Chen; Chengru Song; Di Zhang (CoRR, 2023)

High Quality Superpixel Generation Through Regional Decomposition. - Yunyang Xu; Xifeng Gao; Caiming Zhang 001; Jianchao Tan; Xuemei Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

LoCoPalettes: Local Control for Palette-based Image Editing. - Cheng-Kang Ted Chao; Jason Klein; Jianchao Tan; Jose Echevarria; Yotam I. Gingold (Comput. Graph. Forum, 2023)

ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization. - Cheng-Kang Ted Chao; Jason Klein; Jianchao Tan; Jose Echevarria; Yotam I. Gingold (ACM Trans. Graph., 2023)

Image vectorization and editing via linear gradient layer decomposition. - Zheng-Jun Du; Liang-Fu Kang; Jianchao Tan; Yotam I. Gingold; Kun Xu 003 (ACM Trans. Graph., 2023)

CountFormer: Multi-view Crowd Counting Transformer. - Hong Mo; Xiong Zhang; Jianchao Tan; Cheng Yang; Qiong Gu; Bo Hang; Wenqi Ren (ECCV (52), 2024)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chengru Song; Dai Meng; Di Zhang; Wenwu Ou; et al. (ICLR, 2024)

Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. - Tailing Yuan; Yuliang Liu; Xucheng Ye; Shenglong Zhang; Jianchao Tan; Bin Chen; Chengru Song; Di Zhang (USENIX ATC, 2024)

EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference. - Yulei Qian; Fengcun Li; Xiangyang Ji; Xiaoyu Zhao; Jianchao Tan; Kefeng Zhang; Xunliang Cai (CoRR, 2024)

PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation. - Ao Wang; Hui Chen 013; Jianchao Tan; Kefeng Zhang; Xunliang Cai; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2024)

PHD-NAS: Preserving helpful data to promote Neural Architecture Search. - Shun Lu 001; Yu Hu 001; Longxing Yang; Jilin Mei; Zihao Sun; Jianchao Tan; Chengru Song (Neurocomputing, 2024)

C2T: A Classifier-Based Tree Construction Method in Speculative Decoding. - Feiye Huo; Jianchao Tan; Kefeng Zhang; Xunliang Cai; Shengli Sun (CoRR, 2025)

MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures. - Jiayu Qin; Jianchao Tan; Kefeng Zhang; Xunliang Cai; Wei Wang (CoRR, 2025)