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2020 – today
- 2023
[j11]Haoyi Zhou
, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong:
Expanding the prediction capacity in long sequence time-series forecasting. Artif. Intell. 318: 103886 (2023)- [j10]Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, Shanghang Zhang, Tong Zhang, Hao Dong, Peng Gao:
P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification. Remote. Sens. 15(7): 1773 (2023) - [j9]Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor:
Learning Deep Features for Robotic Inference From Physical Interactions. IEEE Trans. Cogn. Dev. Syst. 15(3): 985-999 (2023) - [j8]Yi Hou, Shanghang Zhang, Rui Ma, Huizhu Jia, Xiaodong Xie:
Frame-Recurrent Video Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5186-5199 (2023) - [j7]Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu:
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. 25: 792-804 (2023) - [c55]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CVPR 2023: 1190-1199 - [c54]Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang:
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. CVPR 2023: 5291-5301 - [c53]Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu:
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. CVPR 2023: 7826-7835 - [c52]Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu:
Annealing-based Label-Transfer Learning for Open World Object Detection. CVPR 2023: 11454-11463 - [c51]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. CVPR 2023: 12157-12166 - [c50]Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CVPR 2023: 17461-17470 - [c49]Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao:
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CVPR 2023: 19243-19253 - [c48]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR 2023: 20321-20330 - [c47]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC 2023: 1-6 - [c46]Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei:
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML 2023: 6158-6184 - [c45]Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang:
RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. NOSSDAV 2023: 1-7 - [c44]Kenuo Xu, Kexing Zhou, Chengxuan Zhu, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang, Chenren Xu:
When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X. HotMobile 2023: 42-48 - [i63]Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. CoRR abs/2302.04304 (2023) - [i62]Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao:
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CoRR abs/2303.07065 (2023) - [i61]Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang:
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. CoRR abs/2303.08129 (2023) - [i60]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang:
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. CoRR abs/2303.09792 (2023) - [i59]Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, Shanghang Zhang:
MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal. CoRR abs/2303.13739 (2023) - [i58]Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, Shanghang Zhang:
Chain of Thought Prompt Tuning in Vision Language Models. CoRR abs/2304.07919 (2023) - [i57]Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR abs/2305.12356 (2023) - [i56]Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang:
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. CoRR abs/2306.04344 (2023) - [i55]Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang:
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering. CoRR abs/2306.09117 (2023) - [i54]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images. CoRR abs/2306.12109 (2023) - [i53]Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang:
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. CoRR abs/2307.00313 (2023) - [i52]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. CoRR abs/2308.07201 (2023) - [i51]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR abs/2308.10515 (2023) - [i50]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. CoRR abs/2309.09502 (2023) - [i49]Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang:
NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything. CoRR abs/2309.12790 (2023) - [i48]Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang:
Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. CoRR abs/2309.13604 (2023) - 2022
- [j6]Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu:
Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. 24: 1210-1220 (2022) - [j5]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [c43]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. AISTATS 2022: 8852-8883 - [c42]Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu:
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CVPR 2022: 7267-7276 - [c41]Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang:
Efficient Meta-Tuning for Content-Aware Neural Video Delivery. ECCV (18) 2022: 308-324 - [c40]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [c39]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. ICLR 2022 - [c38]Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei:
DNA: Domain Generalization with Diversified Neural Averaging. ICML 2022: 4010-4034 - [c37]Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. ICRA 2022: 9243-9250 - [c36]Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. IJCAI 2022: 4216-4222 - [c35]Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu:
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS 2022 - [c34]Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li:
Jump Self-attention: Capturing High-order Statistics in Transformers. NeurIPS 2022 - [c33]Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li:
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation. NeurIPS 2022 - [c32]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i47]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR abs/2202.11946 (2022) - [i46]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i45]Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang:
UnrealNAS: Can We Search Neural Architectures with Unreal Data? CoRR abs/2205.02162 (2022) - [i44]Tian Li, Xiang Chen, Zhen Dong, Weijiang Yu, Yijun Yan, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. CoRR abs/2206.09591 (2022) - [i43]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning. CoRR abs/2207.01987 (2022) - [i42]Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang:
Efficient Meta-Tuning for Content-aware Neural Video Delivery. CoRR abs/2207.09691 (2022) - [i41]Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. CoRR abs/2208.12527 (2022) - [i40]Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang:
Uncertainty Guided Depth Fusion for Spike Camera. CoRR abs/2208.12653 (2022) - [i39]Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li:
BadRes: Reveal the Backdoors through Residual Connection. CoRR abs/2209.07125 (2022) - [i38]Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu:
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR abs/2209.13325 (2022) - [i37]Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li:
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation. CoRR abs/2210.04524 (2022) - [i36]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao:
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. CoRR abs/2211.11682 (2022) - [i35]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR abs/2211.16056 (2022) - [i34]Jiaming Liu, Rongyu Zhang, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang:
Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection. CoRR abs/2211.17126 (2022) - [i33]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. CoRR abs/2212.00623 (2022) - [i32]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world. CoRR abs/2212.00972 (2022) - [i31]Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CoRR abs/2212.01231 (2022) - [i30]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR abs/2212.02770 (2022) - 2021
- [j4]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [c31]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. AAAI 2021: 11106-11115 - [c30]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao:
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR 2021: 1104-1113 - [c29]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c28]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization. ICASSP 2021: 8203-8207 - [c27]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. ICCV 2021: 734-743 - [c26]Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. ICCV 2021: 8846-8855 - [c25]Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang:
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM 2021: 1481-1486 - [c24]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations via Invertible Generative Flows. ICLR 2021 - [c23]Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang:
Triplet Attention: Rethinking the Similarity in Transformers. KDD 2021: 2378-2388 - [c22]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia 2021: 487-495 - [c21]Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura:
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. ACM Multimedia 2021: 741-749 - [c20]Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu:
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS 2021: 23426-23439 - [i29]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i28]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i27]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. CoRR abs/2106.06526 (2021) - [i26]Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu:
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CoRR abs/2106.07617 (2021) - [i25]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. CoRR abs/2107.02575 (2021) - [i24]Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. CoRR abs/2107.11355 (2021) - [i23]Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang:
2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition. CoRR abs/2110.14240 (2021) - 2020
- [j3]Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang:
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. 201-202: 105865 (2020) - [c19]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-Source Distilling Domain Adaptation. AAAI 2020: 12975-12983 - [c18]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) 2020: 171-188 - [c17]Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-training for Unsupervised Domain Adaptation. ECCV (26) 2020: 415-430 - [c16]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-Shot Text Classification for ICD Coding. IJCAI 2020: 4018-4024 - [c15]Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia 2020: 156-164 - [i22]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations from/for Image Generation. CoRR abs/2004.11820 (2020) - [i21]Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR abs/2005.06047 (2020) - [i20]Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer:
Rethinking Distributional Matching Based Domain Adaptation. CoRR abs/2006.13352 (2020) - [i19]Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie:
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. CoRR abs/2007.04234 (2020) - [i18]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR abs/2007.06793 (2020) - [i17]Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian:
Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. CoRR abs/2008.03128 (2020) - [i16]Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-Training for Unsupervised Domain Adaptation. CoRR abs/2008.12197 (2020) - [i15]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR abs/2009.00155 (2020) - [i14]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao:
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR abs/2010.04647 (2020) - [i13]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization. CoRR abs/2010.16088 (2020) - [i12]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. CoRR abs/2011.14478 (2020) - [i11]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. CoRR abs/2012.02943 (2020) - [i10]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. CoRR abs/2012.07436 (2020) - [i9]Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas A. Funkhouser, Hao Dong:
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding. CoRR abs/2012.13089 (2020)
2010 – 2019
- 2019
- [j2]Chuang Zhu, Huihui Dong, Shanghang Zhang:
Feature Fusion for Image Retrieval With Adaptive Bitrate Allocation and Hard Negative Mining. IEEE Access 7: 161858-161870 (2019) - [c14]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
MaCow: Masked Convolutional Generative Flow. NeurIPS 2019: 5891-5900 - [c13]Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. NeurIPS 2019: 6143-6154 - [i8]Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. CoRR abs/1907.05570 (2019) - [i7]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-shot ICD Coding. CoRR abs/1909.13154 (2019) - [i6]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Distilling Domain Adaptation. CoRR abs/1911.11554 (2019) - 2018
- [b1]Shanghang Zhang:
Deep Understanding of Urban Mobility from CityscapeWebcams. Carnegie Mellon University, USA, 2018 - [c12]Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, João Paulo Costeira, José M. F. Moura:
Learning to Understand Image Blur. CVPR 2018: 6586-6595 - [c11]Rajshekhar Das, Akshay Gadre, Shanghang Zhang, Swarun Kumar, José M. F. Moura:
A Deep Learning Approach to IoT Authentication. ICC 2018: 1-6 - [c10]Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon:
Multiple Source Domain Adaptation with Adversarial Learning. ICLR (Workshop) 2018 - [c9]Han Zhao, Shanghang Zhang, Guanhang Wu