Jian Liang

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 196

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR (2024)
Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning. CoRR (2024)
Supeng Xu, Zixiang Jin, Guoming Jiang, Guibin Zhang, Jian Liang, Wei Sun, Lianzhi Zhang, Zhenyu Fan, Genwang Dong
Improved Towed Airborne Three-Axis Magnetic Gradient Anomalies Navigation. IEEE Trans. Instrum. Meas. 73 (2024)
Yanbo Wang, Jian Liang, Ran He
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. CoRR (2024)
Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. CoRR (2024)
Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR (2024)
Jian Liang, Ran He, Tieniu Tan
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. CoRR (2023)
Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR (2023)
Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu
Improving Generalization with Domain Convex Game. CoRR (2023)
Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS (2023)
Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan
Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR (2023)
Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan
Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning. ICASSP (2023)
Jiyang Guan, Jian Liang, Ran He
Test-Time Adaptation for Backdoor Defense. CoRR (2023)
Puning Yang, Jian Liang, Jie Cao, Ran He
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection. CoRR (2023)
Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang
Unleashing the power of Neural Collapse for Transferability Estimation. CoRR (2023)
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 (2023)
Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR (2023)
Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models. CoRR (2023)
Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He
Modify: Model-Driven Face Stylization Without Style Images. ICASSP (2023)
Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, Nan Duan
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory. CoRR (2023)
Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR (2023)
Zhongwei Li, Qiao Meng, Fangming Guo, Leiquan Wang, Wenhao Huang, Yabin Hu, Jian Liang
Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification. Int. J. Appl. Earth Obs. Geoinformation 123 (2023)
Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun
Learning Feature Recovery Transformer for Occluded Person Re-identification. CoRR (2023)
Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu
Improving Generalization with Domain Convex Game. CVPR (2023)
Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation. CoRR (2023)
Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. CoRR (2023)
Weizheng Wang, Jian Liang, Xiangqi Wang, Xianmin Pan, Shuo Cai
A secure scan architecture using parallel latch-based lock. Integr. 93 (2023)
Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He
TALL: Thumbnail Layout for Deepfake Video Detection. CoRR (2023)
Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang
Meta Graph Learning for Long-tail Recommendation. KDD (2023)
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) (2023)
Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan
Exploiting Semantic Attributes for Transductive Zero-Shot Learning. CoRR (2023)
Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR (2023)
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Specific Risk Minimization for Domain Generalization. KDD (2023)
Feiyang Zhao, Maohong Tian, Sheng Hu, Jian Liang, Longfu Zhou, Hualin Li
Livestock Recognition and Identification with Deep Convolutional Neural Networks: A Case Study of Pigs. ICCAI (2023)
Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. ICLR (2023)
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
Rumor Detection with Diverse Counterfactual Evidence. CoRR (2023)
Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun
Reciprocal normalization for domain adaptation. Pattern Recognit. 140 (2023)
Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang
Informative Data Mining for One-shot Cross-Domain Semantic Segmentation. ICCV (2023)
Jian Liang, Jintao Ke, Hai Wang, Hongbo Ye, Jinjun Tang
A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He
Masked Relation Learning for DeepFake Detection. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Lijun Sheng, Zhengbo Wang, Jian Liang
Self-training solutions for the ICCV 2023 GeoNet Challenge. CoRR (2023)
Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He
MODIFY: Model-driven Face Stylization without Style Images. CoRR (2023)
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
Rumor Detection with Diverse Counterfactual Evidence. KDD (2023)
Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He
TALL: Thumbnail Layout for Deepfake Video Detection. ICCV (2023)
Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks 167 (2023)
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 (2023)
Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR (2023)
Junchi Yu, Jian Liang, Ran He
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR (2023)
Junchi Yu, Jian Liang, Ran He
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR (2023)
Linjuan Gong, Guolian Hou, Lin Wang, Yaokui Gao, Wenyu Wang, Zhangming Zhao, Jun Tang, Hongri Guo, Jian Liang
Parallel Control of Ultra-supercritical Unit under Requirements of Flexible Operation. DTPI (2022)
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)
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) (2022)
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)
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)
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) (2022)
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 (2022)
Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR (2022)
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 (2022)
Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun
Learning Feature Recovery Transformer for Occluded Person Re-Identification. IEEE Trans. Image Process. 31 (2022)
Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. SIGIR (2022)
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) (2022)
Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu
Causality Inspired Representation Learning for Domain Generalization. CoRR (2022)
Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS (2022)
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)
Chunyu Wei, Jian Liang, Bing Bai, Di Liu
Dynamic Hypergraph Learning for Collaborative Filtering. CIKM (2022)
Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR (2022)
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 (2022)
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)
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)
Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement. CoRR (2022)
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
Collaboration Equilibrium in Federated Learning. KDD (2022)
Zixuan Xu, Wenjing Ying, Hao He, Qingmeng Zhu, Jian Liang, Haihui Wang
Luminance Compensation MEMC for Video Frame Interpolation. IEEE Access 10 (2022)
Junchi Yu, Jian Liang, Ran He
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR (2022)
Jiyang Guan, Jian Liang, Ran He
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPS (2022)
Jiyang Guan, Jian Liang, Ran He
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. CoRR (2022)
Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR (2022)
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)
Chunyu Wei, Jian Liang, Di Liu, Fei Wang
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS (2022)
Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder. CoRR (2022)
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) (2022)
Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification. ECCV (14) (2022)
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 (2022)
Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu
Causality Inspired Representation Learning for Domain Generalization. CVPR (2022)
Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma
HORIZON: A High-Resolution Panorama Synthesis Framework. CoRR (2022)
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) (2022)
Lingyu Zhang, Wenjie Bian, Jianxing Li, Ying Zhang, Jian Liang, Guobin Wu, Liang Zhang
Travel Intention Prediction Method Based on User Needs. CAIBDA (2022)
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 (2021)
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 (2021)
Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR (2021)
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 (2021)
Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
Fair and Consistent Federated Learning. CoRR (2021)
Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang
Robust Few-Shot Learning for User-Provided Data. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Yunbo Wang, Xianfeng Ou, Jian Liang, Zhenan Sun
Deep Semantic Reconstruction Hashing for Similarity Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31 (1) (2021)
Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang
Why Attentions May Not Be Interpretable? KDD (2021)
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)
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 (2021)
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 (2021)
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei
Semi-Supervised Domain Generalizable Person Re-Identification. CoRR (2021)
Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS (2021)
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jian Liang