Yikun Ban - RankMe

65 papers A* 16A 1Journal 45Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Robust Estimator for Multi-Agent Reinforcement Learning. CoRR Zhongyi Li, Wan Tian, Jingyu Chen, Kangyao Huang, Huiming Zhang, Hui Yang, Tao Ren, Jinyang Jiang, Yijie Peng, Yikun Ban, Fuzhen Zhuang
2026	J	`jnl`	Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation. Trans. Mach. Learn. Res. Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He
2026	J	`jnl`	CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling. CoRR Dengcan Liu, Fengkai Yang, Xiaohan Wang, Shurui Yan, Jiajun Chai, Jiahao Li, Yikun Ban, Zhendong Mao, Wei Lin, Guojun Yin
2026	J	`jnl`	Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards. CoRR Xiaodong Lu, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Zhijun Chen, Yu Luo, Fuzhen Zhuang, Yikun Ban, Deqing Wang
2026	J	`jnl`	Counterfactual Credit Policy Optimization for Multi-Agent Collaboration. CoRR Zhongyi Li, Wan Tian, Yikun Ban, Jinju Chen, Huiming Zhang, Yang Liu, Fuzhen Zhuang
2026	J	`jnl`	Does Your Reasoning Model Implicitly Know When to Stop Thinking? CoRR Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuanda Wang, Zhixia Zhang, Hongyan Xie, Songshi Liang, Zehao Chen, Xuefeng Xiao, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang
2026	J	`jnl`	Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation. CoRR Wei Guo, Siyuan Lu, Xiangdong Ran, Yiqi Tong, Yikun Ban, Zelong Xu, Jing Fan, Zixuan Huang, Xiao Zhang, Zhaojun Hu, Fuzhen Zhuang
2026	A*	`conf`	GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs. AAAI Yating Ren, Yikun Ban, Huobin Tan
2026	J	`jnl`	Heterogeneous Agent Collaborative Reinforcement Learning. CoRR Zhixia Zhang, Zixuan Huang, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban
2026	J	`jnl`	Real-Time Aligned Reward Model beyond Semantics. CoRR Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuefeng Xiao, Hongyan Xie, Li Huaqiu, Songshi Liang, Zhongxiang Dai, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang
2026	J	`jnl`	UniARM: Towards a Unified Autoregressive Reward Model for Multi-Objective Test-Time Alignment. CoRR Hongyan Xie, Yikun Ban, Ruiyu Fang, Zixuan Huang, Deqing Wang, Jianxin Li, Yitong Yao, Chao Wang, Shuangyong Song
2026	J	`jnl`	UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents. CoRR Zheng Dou, Zhao Zhang, Deqing Wang, Yikun Ban, Fuzhen Zhuang
2026	J	`jnl`	Weak-Driven Learning: How Weak Agents make Strong Agents Stronger. CoRR Zehao Chen, Gongxun Li, Tianxiang Ai, Yifei Li, Zixuan Huang, Wang Zhou, Fuzhen Zhuang, Xianglong Liu, Jianxin Li, Deqing Wang, Yikun Ban
2026	J	`jnl`	Your Group-Relative Advantage Is Biased. CoRR Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban
2025	J	`jnl`	Adaptive Sample Scheduling for Direct Preference Optimization. CoRR Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang
2025	J	`jnl`	Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. ACM Trans. Inf. Syst. Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang
2025	—	`conf`	Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL (1) Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2025	J	`jnl`	FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits. CoRR Pingchen Lu, Zhi Hong, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Yao Shu, Min Zhang, Shuang Qiu, Zhongxiang Dai
2025	J	`jnl`	GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs. CoRR Yating Ren, Yikun Ban, Huobin Tan
2025	—	`conf`	LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation. ACL (Findings) Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2025	J	`jnl`	LLMBoost: Make Large Language Models Stronger with Boosting. CoRR Zehao Chen, Tianxiang Ai, Yifei Li, Gongxun Li, Yuyang Wei, Wang Zhou, Guanghui Li, Bin Yu, Zhijun Chen, Hailong Sun, Fuzhen Zhuang, Jianxin Li, Deqing Wang, Yikun Ban
2025	J	`jnl`	Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation. CoRR Hongyan Xie, Yitong Yao, Yikun Ban, Zixuan Huang, Deqing Wang, Zhenhe Wu, Haoxiang Su, Chao Wang, Shuangyong Song
2025	J	`jnl`	Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process. CoRR Zhijun Chen, Zeyu Ji, Qianren Mao, Junhang Cheng, Bangjie Qin, Hao Wu, Zhuoran Li, Jingzheng Li, Kai Sun, Zizhe Wang, Yikun Ban, Zhu Sun, Xiangyang Ji, Hailong Sun
2025	J	`jnl`	T-POP: Test-Time Personalization with Online Preference Feedback. CoRR Zikun Qu, Min Zhang, Mingze Kong, Xiang Li, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Shuang Qiu, Yao Shu, Zhongxiang Dai
2025	J	`jnl`	Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. CoRR Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
2024	J	`jnl`	Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? CoRR Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2024	A*	`conf`	Contextual Bandits with Online Neural Regression. ICLR Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2024	J	`jnl`	LLM-Forest for Health Tabular Data Imputation. CoRR Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2024	J	`jnl`	Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong
2024	A*	`conf`	Meta Clustering of Neural Bandits. KDD Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024	J	`jnl`	Meta Clustering of Neural Bandits. CoRR Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024	A*	`conf`	Neural Active Learning Beyond Bandits. ICLR Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024	J	`jnl`	Neural Active Learning Beyond Bandits. CoRR Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024	—	`conf`	Neural Contextual Bandits for Personalized Recommendation. WWW (Companion Volume) Yikun Ban, Yunzhe Qi, Jingrui He
2024	A*	`conf`	PageRank Bandits for Link Prediction. NeurIPS Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024	J	`jnl`	PageRank Bandits for Link Prediction. CoRR Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024	A*	`conf`	Robust Neural Contextual Bandit against Adversarial Corruptions. NeurIPS Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He
2023	J	`jnl`	Contextual Bandits with Online Neural Regression. CoRR Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2023	A*	`conf`	Graph Neural Bandits. KDD Yunzhe Qi, Yikun Ban, Jingrui He
2023	J	`jnl`	Graph Neural Bandits. CoRR Yunzhe Qi, Yikun Ban, Jingrui He
2023	A*	`conf`	Meta-Learning with Neural Bandit Scheduler. NeurIPS Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
2023	J	`jnl`	Neural Contextual Bandits for Personalized Recommendation. CoRR Yikun Ban, Yunzhe Qi, Jingrui He
2023	J	`jnl`	Neural Exploitation and Exploration of Contextual Bandits. CoRR Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2022	A	`conf`	DISCO: Comprehensive and Explainable Disinformation Detection. CIKM Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022	J	`jnl`	DISCO: Comprehensive and Explainable Disinformation Detection. CoRR Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022	A*	`conf`	EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2022	A*	`conf`	Improved Algorithms for Neural Active Learning. NeurIPS Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022	J	`jnl`	Improved Algorithms for Neural Active Learning. CoRR Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022	A*	`conf`	Neural Bandit with Arm Group Graph. KDD Yunzhe Qi, Yikun Ban, Jingrui He
2022	J	`jnl`	Neural Bandit with Arm Group Graph. CoRR Yunzhe Qi, Yikun Ban, Jingrui He
2022	J	`jnl`	Neural Collaborative Filtering Bandits via Meta Learning. CoRR Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He
2021	J	`jnl`	Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising. CoRR Yikun Ban, Jingrui He
2021	A*	`conf`	Dynamic Knowledge Graph Alignment. AAAI Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong
2021	J	`jnl`	EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. CoRR Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2021	A*	`conf`	Local Clustering in Contextual Multi-Armed Bandits. WWW Yikun Ban, Jingrui He
2021	J	`jnl`	Local Clustering in Contextual Multi-Armed Bandits. CoRR Yikun Ban, Jingrui He
2021	A*	`conf`	Multi-facet Contextual Bandits: A Neural Network Perspective. KDD Yikun Ban, Jingrui He, Curtiss B. Cook
2021	J	`jnl`	Multi-facet Contextual Bandits: A Neural Network Perspective. CoRR Yikun Ban, Jingrui He, Curtiss B. Cook
2020	A*	`conf`	Generic Outlier Detection in Multi-Armed Bandit. KDD Yikun Ban, Jingrui He
2020	J	`jnl`	Generic Outlier Detection in Multi-Armed Bandit. CoRR Yikun Ban, Jingrui He
2019	J	`jnl`	Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping. CoRR Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi
2019	A*	`conf`	No Place to Hide: Catching Fraudulent Entities in Tensors. WWW Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu
2018	J	`jnl`	Bounding Entities within Dense Subtensors. CoRR Yikun Ban, Xin Liu
2018	J	`jnl`	Catching Loosely Synchronized Behavior in Face of Camouflage. CoRR Yikun Ban, Jiao Sun, Xin Liu
2018	J	`jnl`	On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms. CoRR Yikun Ban