| 2025 | AAAI | De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. | Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li |
| 2025 | ACL | 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 |
| 2025 | CVPR | Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. | Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin |
| 2025 | ICCV | 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 |
| 2025 | ICML | Language Models as Implicit Tree Search. | Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin |
| 2025 | IJCAI | Improvements to the Generate-and-Complete Approach to Conformant Planning. | Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan |
| 2024 | AAAI | Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. | Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin |
| 2024 | AAAI | FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. | Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin |
| 2024 | ACL | 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 |
| 2024 | CSCWD | Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. | Quanlong Guan, Jinneng He, Zhao-Rong Lai, Yuyu Zhou, Quming Jiang, Ziliang Chen |
| 2024 | IJCAI | A De-singularity Subgradient Approach for the Extended Weber Location Problem. | Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen |
| 2023 | CIKM | KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. | Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo |
| 2023 | ICCV | A Retrospect to Multi-prompt Learning across Vision and Language. | Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo |
| 2023 | ICCV | LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. | Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2021 | AAAI | Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. | Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin |
| 2020 | DASFAA | Motif Discovery Using Similarity-Constraints Deep Neural Networks. | Chuitian Rong, Ziliang Chen, Chunbin Lin, Jianming Wang |
| 2019 | AAAI | FRAME Revisited: An Interpretation View Based on Particle Evolution. | Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin |
| 2019 | CVPR | Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. | Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin |
| 2019 | ICCV | Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. | Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin |
| 2019 | ICML | Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. | Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin |
| 2018 | CVPR | Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. | Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin |