Ziliang Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Defect Detection

Domain Adaptation

Preference Learning

Top Venues

Publications

Quanlong Guan, Jinneng He, Zhao-Rong Lai, Yuyu Zhou, Quming Jiang, Ziliang Chen
Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. CSCWD (2024)
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. AAAI (2024)
Qiang Chen, Xiangbo Su, Xinyu Zhang, Jian Wang, Jiahui Chen, Yunpeng Shen, Chuchu Han, Ziliang Chen, Weixiang Xu, Fanrong Li, Shan Zhang, Kun Yao, Errui Ding, Gang Zhang, Jingdong Wang
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. CoRR (2024)
Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. AAAI (2024)
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
A De-singularity Subgradient Approach for the Extended Weber Location Problem. CoRR (2024)
Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. ACL (1) (2024)
Wei Xu, Kangkang Wang, Ziliang Chen, Bin He, Bi Li, Haocheng Feng, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding
MSAbox: A spatially stable face detector. ICME (2023)
Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo
KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. CIKM (2023)
Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo
A Retrospect to Multi-prompt Learning across Vision and Language. ICCV (2023)
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. CoRR (2023)
Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV (2023)
Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR (2023)
Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin
Graph-Convolved Factorization Machines for Personalized Recommendation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin
Discovering Implicit Classes Achieves Open Set Domain Adaptation. ICME (2022)
Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin
Open Set Domain Adaptation By Novel Class Discovery. CoRR (2022)
Yatao Yang, Yuqing He, Haolin Guo, Ziliang Chen, Li Zhang
Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries. Neural Comput. Appl. 34 (22) (2022)
Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin
Deep CockTail Networks. Int. J. Comput. Vis. 129 (8) (2021)
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI (2021)
Chao Xu, Xiang Sun, Ziliang Chen, Shoubiao Tan
Exhaustive hard triplet mining loss for Person Re-Identification. Turkish J. Electr. Eng. Comput. Sci. 28 (5) (2020)
Ziliang Chen
Bank Card Number Identification Program Based on Template Matching. CSIA (2) (2020)
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR (2020)
Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR (2020)
Chuitian Rong, Ziliang Chen, Chunbin Lin, Jianming Wang
Motif Discovery Using Similarity-Constraints Deep Neural Networks. DASFAA (1) (2020)
Chuitian Rong, Xiaohai Cheng, Ziliang Chen, Na Huo
Similarity joins for high-dimensional data using Spark. Concurr. Comput. Pract. Exp. 31 (20) (2019)
Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. ICCV (2019)
Ziliang Chen, Zhanfu Yang
Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability. CoRR (2019)
Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning. CoRR (2019)
Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. CoRR (2019)
Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Xiao Wang, Ziliang Chen, Rui Yang, Bin Luo, Jin Tang
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity. CoRR (2019)
Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang
Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. ICCV Workshops (2019)
Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR (2019)
Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin
FRAME Revisited: An Interpretation View Based on Particle Evolution. AAAI (2019)
Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CoRR (2019)
Junyi Zhang, Ziliang Chen, Junying Huang, Jingyu Zhuang, Dongyu Zhang
Few-shot domain adaptation for semantic segmentation. ACM TUR-C (2019)
Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. ICML (2019)
Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf
Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers. CoRR (2019)
Jingyu Zhuang, Ziliang Chen, Junyi Zhang, Dongyu Zhang, Zhaoquan Cai
Domain adaptation for retinal vessel segmentation using asymmetrical maximum classifier discrepancy. ACM TUR-C (2019)
Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. CVPR (2018)
Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin
FRAME Revisited: An Interpretation View Based on Particle Evolution. CoRR (2018)
Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift. CoRR (2018)
Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. CoRR (2018)
Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. CoRR (2017)