Ziliang Chen

According to our database, Ziliang Chen authored at least 38 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning to See and Act: Task-Aware View Planning for Robotic Manipulation.

Yongjie Bai, Zhouxia Wang, Yang Liu, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin

CoRR, August, 2025

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering.

Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin

CoRR, March, 2025

Counterfactual Balancing Feature Alignment for Few-Shot Cross-Domain Scene Parsing.

Cody Mingzhan Sun, Ziliang Chen, Liang Lin

IEEE Access, 2025

Reproducible Vision-Language Models Meet Concepts Out of Pre-Training.

Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System.

Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem.

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation.

Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

De-singularity Subgradient for the <i>q</i>-th-Powered ℓ_p-Norm Weber Location Problem.

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li

CoRR, 2024

Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions.

Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A De-singularity Subgradient Approach for the Extended Weber Location Problem.

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate.

Quanlong Guan, Jinneng He, Zhao-Rong Lai, Yuyu Zhou, Quming Jiang, Ziliang Chen

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System.

Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis.

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Graph-Convolved Factorization Machines for Personalized Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin

IEEE Trans. Knowl. Data Eng., 2023

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts.

Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Retrospect to Multi-prompt Learning across Vision and Language.

Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation.

Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Open Set Domain Adaptation By Novel Class Discovery.

Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin

CoRR, 2022

Discovering Implicit Classes Achieves Open Set Domain Adaptation.

Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Deep CockTail Networks.

Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin

Int. J. Comput. Vis., 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.

Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis.

Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

2019

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria.

Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability.

Ziliang Chen, Zhanfu Yang

CoRR, 2019

Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity.

Xiao Wang, Ziliang Chen, Rui Yang, Bin Luo, Jin Tang

CoRR, 2019

Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers.

Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf

CoRR, 2019

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching.

Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin

Proceedings of the 36th International Conference on Machine Learning, 2019

Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing.

Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning.

Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks.

Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Domain adaptation for retinal vessel segmentation using asymmetrical maximum classifier discrepancy.

Jingyu Zhuang, Ziliang Chen, Junyi Zhang, Dongyu Zhang, Zhaoquan Cai

Proceedings of the ACM Turing Celebration Conference - China, 2019

Few-shot domain adaptation for semantic segmentation.

Junyi Zhang, Ziliang Chen, Junying Huang, Jingyu Zhuang, Dongyu Zhang

Proceedings of the ACM Turing Celebration Conference - China, 2019

FRAME Revisited: An Interpretation View Based on Particle Evolution.

Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning.

Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2018

Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift.

Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018