Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. - Ruijia Xu; Ziliang Chen 001; Wangmeng Zuo; Junjie Yan; Liang Lin (CVPR, 2018)

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. - Ziliang Chen 001; Keze Wang; Xiao Wang 014; Pai Peng; Ebroul Izquierdo; Liang Lin (IEEE Trans. Circuits Syst. Video Technol., 2018)

FRAME Revisited: An Interpretation View Based on Particle Evolution. - Xu Cai; Yang Wu; Guanbin Li; Ziliang Chen 001; Liang Lin (AAAI, 2019)

Few-shot domain adaptation for semantic segmentation. - Junyi Zhang 001; Ziliang Chen 001; Junying Huang; Jingyu Zhuang; Dongyu Zhang 002 (ACM TUR-C, 2019)

Domain adaptation for retinal vessel segmentation using asymmetrical maximum classifier discrepancy. - Jingyu Zhuang; Ziliang Chen 001; Junyi Zhang 001; Dongyu Zhang 002; Zhaoquan Cai 001 (ACM TUR-C, 2019)

Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. - Ziliang Chen 001; Jingyu Zhuang; Xiaodan Liang; Liang Lin (CVPR, 2019)

Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. - Xiaopeng Yan; Ziliang Chen 001; Anni Xu; Xiaoxi Wang; Xiaodan Liang; Liang Lin (ICCV, 2019)

Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. - Junyi Zhang 001; Ziliang Chen 001; Junying Huang; Liang Lin; Dongyu Zhang 002 (ICCV Workshops, 2019)

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. - Ziliang Chen 001; Zhanfu Yang; Xiaoxi Wang; Xiaodan Liang; Xiaopeng Yan; Guanbin Li; Liang Lin (ICML, 2019)

Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers. - Zhanfu Yang; Fei Wang 046; Ziliang Chen 001; Guannan Wei 001; Tiark Rompf (CoRR, 2019)

Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity. - Xiao Wang 014; Ziliang Chen 001; Rui Yang; Bin Luo 001; Jin Tang 001 (CoRR, 2019)

Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability. - Ziliang Chen 001; Zhanfu Yang (CoRR, 2019)

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. - Keze Wang; Liang Lin; Xiaopeng Yan; Ziliang Chen 001; Dongyu Zhang 002; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. - Junfan Lin; Ziliang Chen 001; Xiaodan Liang; Keze Wang; Liang Lin (CoRR, 2020)

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. - Shuai Lin; Pan Zhou 002; Xiaodan Liang; Jianheng Tang; Ruihui Zhao; Ziliang Chen 001; Liang Lin (AAAI, 2021)

Deep CockTail Networks. - Ziliang Chen 001; Pengxu Wei; Jingyu Zhuang; Guanbin Li; Liang Lin (Int. J. Comput. Vis., 2021)

Discovering Implicit Classes Achieves Open Set Domain Adaptation. - Jingyu Zhuang; Ziliang Chen 001; Pengxu Wei; Guanbin Li; Liang Lin (ICME, 2022)

Open Set Domain Adaptation By Novel Class Discovery. - Jingyu Zhuang; Ziliang Chen 001; Pengxu Wei; Guanbin Li; Liang Lin (CoRR, 2022)

KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. - Quanlong Guan; Fang Xiao; Xinghe Cheng; Liangda Fang; Ziliang Chen 001; Guanliang Chen; Weiqi Luo 002 (CIKM, 2023)

A Retrospect to Multi-prompt Learning across Vision and Language. - Ziliang Chen 001; Xin Huang; Quanlong Guan; Liang Lin; Weiqi Luo 002 (ICCV, 2023)

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. - Binbin Yang; Yi Luo; Ziliang Chen 001; Guangrun Wang; Xiaodan Liang; Liang Lin (ICCV, 2023)

Graph-Convolved Factorization Machines for Personalized Recommendation. - Yongsen Zheng; Pengxu Wei; Ziliang Chen 001; Yang Cao; Liang Lin (IEEE Trans. Knowl. Data Eng., 2023)

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. - Junfan Lin; Keze Wang; Ziliang Chen 001; Xiaodan Liang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. - Ziliang Chen 001; Yongsen Zheng; Zhao-Rong Lai; Quanlong Guan; Liang Lin (AAAI, 2024)

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. - Yongsen Zheng; Ziliang Chen 001; Jinghui Qin; Liang Lin (AAAI, 2024)

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. - Yongsen Zheng; Ruilin Xu 006; Ziliang Chen 001; Guohua Wang; Mingjie Qian; Jinghui Qin; Liang Lin (ACL (1), 2024)

Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. - Quanlong Guan; Jinneng He; Zhao-Rong Lai; Yuyu Zhou; Quming Jiang; Ziliang Chen 001 (CSCWD, 2024)

A De-singularity Subgradient Approach for the Extended Weber Location Problem. - Zhao-Rong Lai; Xiaotian Wu; Liangda Fang; Ziliang Chen 001 (IJCAI, 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 001; Lusheng Wu; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002; Quanlong Guan (ACM Multimedia, 2024)

De-singularity Subgradient for the q-th-Powered ℓp-Norm Weber Location Problem. - Zhao-Rong Lai; Xiaotian Wu; Liangda Fang; Ziliang Chen 001; Cheng Li 018 (CoRR, 2024)

Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation. - Yongsen Zheng; Pengxu Wei; Ziliang Chen 001; Chengpei Tang; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation. - Yongsen Zheng; Jinghui Qin; Pengxu Wei; Ziliang Chen 001; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. - Zhao-Rong Lai; Xiaotian Wu; Liangda Fang; Ziliang Chen 001; Cheng Li 018 (AAAI, 2025)

HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System. - Yongsen Zheng; Mingjie Qian; Guohua Wang; Yang Liu 084; Ziliang Chen 001; Mingzhi Mao; Liang Lin; Kwok-Yan Lam (ACL (Findings), 2025)

Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. - Ziliang Chen 001; Xin Huang; Xiaoxuan Fan; Keze Wang; Yuyu Zhou; Quanlong Guan; Liang Lin (CVPR, 2025)

Counterfactual Balancing Feature Alignment for Few-Shot Cross-Domain Scene Parsing. - Cody Mingzhan Sun; Ziliang Chen 001; Liang Lin (IEEE Access, 2025)

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering. - Kaixuan Jiang; Yang Liu 084; Weixing Chen; Jingzhou Luo; Ziliang Chen 001; Ling Pan; Guanbin Li; Liang Lin (CoRR, 2025)

Learning to See and Act: Task-Aware View Planning for Robotic Manipulation. - Yongjie Bai; Zhouxia Wang; Yang Liu 084; Weixing Chen; Ziliang Chen 001; Mingtong Dai; Yongsen Zheng; Lingbo Liu; Guanbin Li; Liang Lin (CoRR, 2025)