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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j58]Jian Liang, Jinjun Tang, Fan Gao, Zhe Wang, Helai Huang:
On region-level travel demand forecasting using multi-task adaptive graph attention network. Inf. Sci. 622: 161-177 (2023)- [j57]Zhiyong Huang
, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal normalization for domain adaptation. Pattern Recognit. 140: 109533 (2023) - [j56]Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He:
Masked Relation Learning for DeepFake Detection. IEEE Trans. Inf. Forensics Secur. 18: 1696-1708 (2023) - [j55]Shuang Li, Wenxuan Ma, Jinming Zhang, Chi Harold Liu, Jian Liang, Guoren Wang:
Meta-Reweighted Regularization for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 2781-2795 (2023) - [i62]Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun:
Learning Feature Recovery Transformer for Occluded Person Re-identification. CoRR abs/2301.01879 (2023) - [i61]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR abs/2302.00194 (2023) - [i60]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. CoRR abs/2302.04589 (2023) - [i59]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
MODIFY: Model-driven Face Stylization without Style Images. CoRR abs/2303.09831 (2023) - [i58]Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan:
Exploiting Semantic Attributes for Transductive Zero-Shot Learning. CoRR abs/2303.09849 (2023) - [i57]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR abs/2303.10594 (2023) - [i56]Puning Yang, Jian Liang, Jie Cao, Ran He:
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection. CoRR abs/2303.12267 (2023) - [i55]Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu:
Improving Generalization with Domain Convex Game. CoRR abs/2303.13297 (2023) - [i54]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR abs/2303.14859 (2023) - [i53]Jian Liang, Ran He, Tieniu Tan:
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. CoRR abs/2303.15361 (2023) - [i52]Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li:
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models. CoRR abs/2305.19531 (2023) - 2022
- [j54]Zixuan Xu, Wenjing Ying, Hao He, Qingmeng Zhu, Jian Liang, Haihui Wang:
Luminance Compensation MEMC for Video Frame Interpolation. IEEE Access 10: 120752-120764 (2022) - [j53]Wei Shen, Jian Liang, Shijun Xu, Yu Wei:
Research on Online Course Teaching of Public Physical Education in Universities Under the Pandemic Situation. Inf. Resour. Manag. J. 35(3): 1-14 (2022) - [j52]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j51]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8602-8617 (2022) - [j50]Lele Zhang, Jinhu Wang, Yueqian Shen, Jian Liang, Yuyu Chen, Linsheng Chen, Mei Zhou:
A Deep Learning Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data. Remote. Sens. 14(20): 5272 (2022) - [j49]Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang:
Heterogeneous Face Recognition via Face Synthesis With Identity-Attribute Disentanglement. IEEE Trans. Inf. Forensics Secur. 17: 1344-1358 (2022) - [j48]Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun:
Learning Feature Recovery Transformer for Occluded Person Re-Identification. IEEE Trans. Image Process. 31: 4651-4662 (2022) - [j47]Jian Liang, Jinjun Tang, Fang Liu, Yinhai Wang:
Combining Individual Travel Preferences Into Destination Prediction: A Multi-Module Deep Learning Network. IEEE Trans. Intell. Transp. Syst. 23(8): 13782-13793 (2022) - [c89]Chunyu Wei, Jian Liang, Bing Bai, Di Liu:
Dynamic Hypergraph Learning for Collaborative Filtering. CIKM 2022: 2108-2117 - [c88]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR 2022: 7993-8003 - [c87]Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu:
Causality Inspired Representation Learning for Domain Generalization. CVPR 2022: 8036-8046 - [c86]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CVPR 2022: 16701-16710 - [c85]Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun:
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification. ECCV (14) 2022: 372-388 - [c84]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. ECCV (16) 2022: 720-736 - [c83]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - [c82]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c81]Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang:
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS 2022 - [c80]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPS 2022 - [c79]Jian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. NeurIPS 2022 - [c78]Chunyu Wei, Jian Liang, Di Liu, Fei Wang:
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS 2022 - [c77]Qin Si, Hui Xu, Ying Tong, Yu Zhou, Jian Liang, Lei Cui, Zhiyu Hao:
Malware Detection Using Automated Generation of Yara Rules on Dynamic Features. SciSec 2022: 315-330 - [c76]Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang:
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. SIGIR 2022: 1969-1973 - [c75]Lingyu Zhang, Zhijie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu, Yunhai Wang:
Pick-Up Point Recommendation Using Users' Historical Ride-Hailing Orders. WASA (2) 2022: 393-405 - [c74]Lingyu Zhang, Zhijie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu, Yunhai Wang:
Users' Departure Time Prediction Based on Light Gradient Boosting Decision Tree. WASA (2) 2022: 595-605 - [i51]Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu:
Causality Inspired Representation Learning for Domain Generalization. CoRR abs/2203.14237 (2022) - [i50]Xiaochen Li, Rui Zhong, Jian Liang, Xialong Liu, Yu Zhang:
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. CoRR abs/2204.11587 (2022) - [i49]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR abs/2205.14566 (2022) - [i48]Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan:
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder. CoRR abs/2206.00386 (2022) - [i47]Xingchen Liu, Yawen Li, Yingxia Shao, Ang Li, Jian Liang:
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT. CoRR abs/2206.02389 (2022) - [i46]Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang:
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement. CoRR abs/2206.04854 (2022) - [i45]Junchi Yu, Jian Liang, Ran He:
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR abs/2206.09345 (2022) - [i44]Chenfei Wu, Jian Liang, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. CoRR abs/2207.09814 (2022) - [i43]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR abs/2210.00226 (2022) - [i42]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: A High-Resolution Panorama Synthesis Framework. CoRR abs/2210.04522 (2022) - [i41]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. CoRR abs/2210.15427 (2022) - 2021
- [j46]Yunbo Wang, Xianfeng Ou, Jian Liang, Zhenan Sun:
Deep Semantic Reconstruction Hashing for Similarity Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(1): 387-400 (2021) - [j45]Yang Pang, Ningfang Song, Yanqiang Yang, Jian Liang, Hao Zhang, Longjie Tian, Zhenyue Liu, Fu Ma:
Low-Cost IMU Error Intercorrection Method for Verticality Measurement. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j44]Yanqiang Yang, Jian Liang, Longjie Tian, Tongyao Yue, Hao Zhang:
Dead Band Self-Test Method of Three-Self FOG INS. IEEE Trans. Instrum. Meas. 70: 1-7 (2021) - [j43]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen:
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30: 9359-9371 (2021) - [j42]Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang:
Robust Few-Shot Learning for User-Provided Data. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1433-1447 (2021) - [j41]Ziyi Yan, Chunxi Zhang, Yanqiang Yang, Jian Liang:
A Novel In-Motion Alignment Method Based on Trajectory Matching for Autonomous Vehicles. IEEE Trans. Veh. Technol. 70(3): 2231-2238 (2021) - [c73]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI 2021: 8455-8464 - [c72]Jian Liang, Dapeng Hu, Jiashi Feng:
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR 2021: 16632-16642 - [c71]Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. ICCV 2021: 9082-9091 - [c70]Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang:
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR 2021 - [c69]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - [c68]Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. ACM Multimedia 2021: 5213-5221 - [c67]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS 2021: 5972-5984 - [c66]Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang:
Pareto Domain Adaptation. NeurIPS 2021: 12917-12929 - [c65]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [c64]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [i40]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i39]Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun:
On Evolving Attention Towards Domain Adaptation. CoRR abs/2103.13561 (2021) - [i38]Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR abs/2104.01539 (2021) - [i37]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR abs/2106.05001 (2021) - [i36]Yuxi Wang, Jian Liang, Zhaoxiang Zhang:
Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data. CoRR abs/2106.11653 (2021) - [i35]Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. CoRR abs/2108.02365 (2021) - [i34]Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei:
Semi-Supervised Domain Generalizable Person Re-Identification. CoRR abs/2108.05045 (2021) - [i33]Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. CoRR abs/2108.05720 (2021) - [i32]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i31]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i30]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. CoRR abs/2111.12417 (2021) - [i29]Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li:
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. CoRR abs/2112.02792 (2021) - [i28]Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang:
Pareto Domain Adaptation. CoRR abs/2112.04137 (2021) - [i27]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR abs/2112.04731 (2021) - [i26]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR abs/2112.08553 (2021) - [i25]Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun:
META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification. CoRR abs/2112.08684 (2021) - [i24]Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal Normalization for Domain Adaptation. CoRR abs/2112.10474 (2021) - 2020
- [j40]Jian Liang, Shuiping Yi, Wenlong Bai, Lidan Wang, Chenchang Zhan, Congwei Liao, Hing-Mo Lam, Min Zhang, Shengdong Zhang, Hailong Jiao:
A -80 dB PSRR 4.99 ppm/°C TC bandgap reference with nonlinear compensation. Microelectron. J. 95 (2020) - [j39]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. Neural Networks 131: 93-102 (2020) - [j38]Luojia Hu, Nan Xu, Jian Liang, Zhichao Li, Luzhen Chen, Feng Zhao:
Advancing the Mapping of Mangrove Forests at National-Scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China. Remote. Sens. 12(19): 3120 (2020) - [j37]Zeng Jie Ye, Xiao Ying Zhang, Jian Liang, Ying Tang:
The Challenges of Medical Ethics in China: Are Gene-Edited Babies Enough? Sci. Eng. Ethics 26(1): 123-125 (2020) - [j36]Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang:
Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain. Sensors 20(6): 1729 (2020) - [j35]Jian Liang, Junchao Zhang, Jianbo Shao, Bofan Song, Baoli Yao, Rongguang Liang:
Deep Convolutional Neural Network Phase Unwrapping for Fringe Projection 3D Imaging. Sensors 20(13): 3691 (2020) - [j34]Yue Xu, Shaobiao Xie, Jian Liang, Dexin Sun, Naiming Qi, Yinnian Liu:
A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers. IEEE Trans. Geosci. Remote. Sens. 58(11): 7580-7588 (2020) - [c63]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) 2020: 123-140 - [c62]Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. ICML 2020: 6028-6039 - [c61]Hezi Qiu, Jian Liang, Wenlong Bai, Hing-Mo Lam, Junjun An, Congwei Liao, Min Zhang, Hailong Jiao, Shengdong Zhang:
A Compensation System using Analog Voltage Adder with Continuous Output for AMOLED Display Drivers. ISCAS 2020: 1-5 - [c60]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. KDD 2020: 286-296 - [c59]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. KDD 2020: 2831-2840 - [c58]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD 2020: 2989-2997 - [c57]Weijiang Yu, Jian Liang, Lu Li, Nong Xiao:
Single Image De-noising via Staged Memory Network. ACM Multimedia 2020: 37-45 - [i23]Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. CoRR abs/2002.08546 (2020) - [i22]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR abs/2003.02541 (2020) - [i21]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR abs/2003.13274 (2020) - [i20]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. CoRR abs/2005.13303 (2020) - [i19]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. CoRR abs/2006.05379 (2020) - [i18]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i17]Jian Liang, Dapeng Hu, Jiashi Feng:
Combating Domain Shift with Self-Taught Labeling. CoRR abs/2007.04171 (2020) - [i16]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. CoRR abs/2007.05742 (2020) - [i15]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. CoRR abs/2008.11089 (2020) - [i14]Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li:
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data. CoRR abs/2009.02763 (2020) - [i13]Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai:
Domain Agnostic Learning for Unbiased Authentication. CoRR abs/2010.05250 (2020) - [i12]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i11]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020) - [i10]Yue Zhang, Yajie Zou, Jinjun Tang, Jian Liang:
A Lane-Changing Prediction Method Based on Temporal Convolution Network. CoRR abs/2011.01224 (2020) - [i9]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. CoRR abs/2012.06995 (2020) - [i8]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR abs/2012.07297 (2020)
2010 – 2019
- 2019
- [j33]