Ziliang Chen - RankMe

61 papers A* 16A 2C 1Journal 37Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation. IEEE Trans. Knowl. Data Eng. Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam
2026	J	`jnl`	Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems. CoRR Jusheng Zhang, Yijia Fan, Kaitong Cai, Jing Yang, Jiawei Yao, Jian Wang, Guanlong Qu, Ziliang Chen, Keze Wang
2025	J	`jnl`	A Retrospect to Multi-prompt Learning across Vision and Language. CoRR Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo
2025	J	`jnl`	An Exhaustive DPLL Approach to Model Counting over Integer Linear Constraints with Simplification Techniques. CoRR Mingwei Zhang, Zhenhao Gu, Liangda Fang, Cunjing Ge, Ziliang Chen, Zhao-Rong Lai, Quanlong Guan
2025	J	`jnl`	Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering. CoRR Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin
2025	J	`jnl`	Counterfactual Balancing Feature Alignment for Few-Shot Cross-Domain Scene Parsing. IEEE Access Cody Mingzhan Sun, Ziliang Chen, Liang Lin
2025	A*	`conf`	De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. AAAI Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li
2025	J	`jnl`	Failure-Driven Workflow Refinement. CoRR Jusheng Zhang, Kaitong Cai, Qinglin Zeng, Ningyuan Liu, Stephen Fan, Ziliang Chen, Keze Wang
2025	—	`conf`	HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System. ACL (Findings) Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam
2025	A*	`conf`	Improvements to the Generate-and-Complete Approach to Conformant Planning. IJCAI Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan
2025	A*	`conf`	Language Models as Implicit Tree Search. ICML Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin
2025	J	`jnl`	Learning to See and Act: Task-Aware View Planning for Robotic Manipulation. CoRR Yongjie Bai, Zhouxia Wang, Yang Liu, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin
2025	J	`jnl`	MM-CoT:A Benchmark for Probing Visual Chain-of-Thought Reasoning in Multimodal Models. CoRR Jusheng Zhang, Kaitong Cai, Xiaoyang Guo, Sidi Liu, Qinhan Lv, Ruiqi Chen, Jing Yang, Yijia Fan, Xiaofei Sun, Jian Wang, Ziliang Chen, Liang Lin, Keze Wang
2025	J	`jnl`	MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models. CoRR Zimeng Huang, Jinxin Ke, Xiaoxuan Fan, Yufeng Yang, Yang Liu, Liu Zhonghan, Zedi Wang, Junteng Dai, Haoyi Jiang, Yuyu Zhou, Keze Wang, Ziliang Chen
2025	A*	`conf`	Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. CVPR Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin
2025	J	`jnl`	Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains. CoRR Jesen Zhang, Ningyuan Liu, Kaitong Cai, Sidi Liu, Jing Yang, Ziliang Chen, Xiaofei Sun, Keze Wang
2025	J	`jnl`	Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens. CoRR Ziliang Chen, Tianang Xiao, Jusheng Zhang, Yongsen Zheng, Xipeng Chen
2025	J	`jnl`	ℰ CoRR Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lv, Hao Liu, Jusheng Zhang, Weizheng Li, Ziliang Chen, Tianshui Chen, Keze Wang, Liang Lin, Guangrun Wang
2024	A*	`conf`	A De-singularity Subgradient Approach for the Extended Weber Location Problem. IJCAI Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
2024	J	`jnl`	A De-singularity Subgradient Approach for the Extended Weber Location Problem. CoRR Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
2024	J	`jnl`	CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation. IEEE Trans. Neural Networks Learn. Syst. Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin
2024	J	`jnl`	De-singularity Subgradient for the CoRR Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li
2024	A*	`conf`	Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. AAAI Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
2024	A*	`conf`	FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. AAAI Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin
2024	—	`conf`	HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. ACL (1) Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin
2024	A*	`conf`	Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. ACM Multimedia Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan
2024	J	`jnl`	Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation. IEEE Trans. Neural Networks Learn. Syst. Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin
2024	C	`conf`	Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. CSCWD Quanlong Guan, Jinneng He, Zhao-Rong Lai, Yuyu Zhou, Quming Jiang, Ziliang Chen
2023	A*	`conf`	A Retrospect to Multi-prompt Learning across Vision and Language. ICCV Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo
2023	J	`jnl`	Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. CoRR Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
2023	J	`jnl`	Graph-Convolved Factorization Machines for Personalized Recommendation. IEEE Trans. Knowl. Data Eng. Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin
2023	A	`conf`	KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. CIKM Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo
2023	A*	`conf`	LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
2023	J	`jnl`	LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
2023	J	`jnl`	Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin
2022	A	`conf`	Discovering Implicit Classes Achieves Open Set Domain Adaptation. ICME Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin
2022	J	`jnl`	Open Set Domain Adaptation By Novel Class Discovery. CoRR Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin
2021	J	`jnl`	Deep CockTail Networks. Int. J. Comput. Vis. Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin
2021	A*	`conf`	Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
2020	J	`jnl`	Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
2020	J	`jnl`	Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin
2019	A*	`conf`	Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin
2019	J	`jnl`	Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CoRR Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin
2019	J	`jnl`	Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. IEEE Trans. Neural Networks Learn. Syst. Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
2019	—	`conf`	Domain adaptation for retinal vessel segmentation using asymmetrical maximum classifier discrepancy. ACM TUR-C Jingyu Zhuang, Ziliang Chen, Junyi Zhang, Dongyu Zhang, Zhaoquan Cai
2019	A*	`conf`	FRAME Revisited: An Interpretation View Based on Particle Evolution. AAAI Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin
2019	—	`conf`	Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. ICCV Workshops Junyi Zhang, Ziliang Chen, JunYing Huang, Liang Lin, Dongyu Zhang
2019	—	`conf`	Few-shot domain adaptation for semantic segmentation. ACM TUR-C Junyi Zhang, Ziliang Chen, JunYing Huang, Jingyu Zhuang, Dongyu Zhang
2019	J	`jnl`	Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability. CoRR Ziliang Chen, Zhanfu Yang
2019	J	`jnl`	Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers. CoRR Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf
2019	J	`jnl`	Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity. CoRR Xiao Wang, Ziliang Chen, Rui Yang, Bin Luo, Jin Tang
2019	J	`jnl`	Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning. CoRR Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin
2019	A*	`conf`	Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. ICCV Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin
2019	A*	`conf`	Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. ICML Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin
2019	J	`jnl`	Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. CoRR Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin
2018	J	`jnl`	Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. CoRR Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
2018	J	`jnl`	Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin
2018	A*	`conf`	Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. CVPR Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin
2018	J	`jnl`	Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift. CoRR Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin
2018	J	`jnl`	FRAME Revisited: An Interpretation View Based on Particle Evolution. CoRR Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin
2017	J	`jnl`	Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. CoRR Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin