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ORCIDYikun Ban
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2020 – today
- 2026
[j3]Hongyan Xie
, Yikun Ban, Ruiyu Fang, Di Wu, Zixuan Huang, Deqing Wang, Jianxin Li, Shuangyong Song:
Direct preference optimization with Pareto dominance constraint for online multi-objective alignment. Neurocomputing 702: 134604 (2026)- [j2]Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He:
Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation. Trans. Mach. Learn. Res. 2026 (2026) - [c22]Yating Ren, Yikun Ban, Huobin Tan:
GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs. AAAI 2026: 25142-25150 - [i48]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:
Your Group-Relative Advantage Is Biased. CoRR abs/2601.08521 (2026) - [i47]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:
Real-Time Aligned Reward Model beyond Semantics. CoRR abs/2601.22664 (2026) - [i46]Zehao Chen, Gongxun Li, Tianxiang Ai, Yifei Li, Zixuan Huang, Wang Zhou, Fuzhen Zhuang, Xianglong Liu, Jianxin Li, Deqing Wang, Yikun Ban:
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger. CoRR abs/2602.08222 (2026) - [i45]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:
Does Your Reasoning Model Implicitly Know When to Stop Thinking? CoRR abs/2602.08354 (2026) - [i44]Xiaodong Lu, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Zhijun Chen, Yu Luo, Fuzhen Zhuang, Yikun Ban, Deqing Wang:
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards. CoRR abs/2602.08499 (2026) - [i43]Hongyan Xie, Yikun Ban, Ruiyu Fang, Zixuan Huang, Deqing Wang, Jianxin Li, Yitong Yao, Chao Wang, Shuangyong Song:
UniARM: Towards a Unified Autoregressive Reward Model for Multi-Objective Test-Time Alignment. CoRR abs/2602.09538 (2026) - [i42]Wei Guo, Siyuan Lu, Xiangdong Ran, Yiqi Tong, Yikun Ban, Zelong Xu, Jing Fan, Zixuan Huang, Xiao Zhang, Zhaojun Hu, Fuzhen Zhuang:
Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation. CoRR abs/2602.18749 (2026) - [i41]Zheng Dou, Zhao Zhang, Deqing Wang, Yikun Ban, Fuzhen Zhuang:
UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents. CoRR abs/2602.23766 (2026) - [i40]Zhixia Zhang, Zixuan Huang, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban:
Heterogeneous Agent Collaborative Reinforcement Learning. CoRR abs/2603.02604 (2026) - [i39]Dengcan Liu, Fengkai Yang, Xiaohan Wang, Shurui Yan, Jiajun Chai, Jiahao Li, Yikun Ban, Zhendong Mao, Wei Lin, Guojun Yin:
CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling. CoRR abs/2603.08035 (2026) - [i38]Zhongyi Li, Wan Tian, Yikun Ban, Jinju Chen, Huiming Zhang, Yang Liu, Fuzhen Zhuang:
Counterfactual Credit Policy Optimization for Multi-Agent Collaboration. CoRR abs/2603.21563 (2026) - [i37]Zhongyi Li, Wan Tian, Jingyu Chen, Kangyao Huang, Huiming Zhang, Hui Yang, Tao Ren, Jinyang Jiang, Yijie Peng, Yikun Ban, Fuzhen Zhuang:
Adaptive Robust Estimator for Multi-Agent Reinforcement Learning. CoRR abs/2603.21574 (2026) - [i36]Huaiyang Wang, Xiaojie Li, Deqing Wang, Hao Zhou, Zixuan Huang, Yaodong Yang, Jianxin Li, Yikun Ban:
Policy Improvement Reinforcement Learning. CoRR abs/2604.00860 (2026) - [i35]Xuefei Wang, Jialu Wang, Fengbo Zhang, Yihan Hu, Di Zhang, Yutong Ye, Yikun Ban, Jun Han, Ruijie Wang:
\textsc{MasFACT}: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer. CoRR abs/2605.17361 (2026) - [i34]Li Wang, Xiaodong Lu, Xiaohan Wang, Yikun Ban, Jiajun Chai, Wei Lin, Tianhao Peng, Guojun Yin:
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards. CoRR abs/2605.25864 (2026) - [i33]Jianing Guo, Fangzheng Chen, Zihao Mao, Wong Lik Hang Kenny, Zhenhong Wu, Yu Li, Yishuai Cai, Yuanpei Chen, Yikun Ban, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Simin Li:
Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation. CoRR abs/2606.20135 (2026) - [i32]Hongyan Xie, Yikun Ban, Ruiyu Fang, Zixuan Huang, Deqing Wang, Jianxin Li, Shuangyong Song:
Multi-Objective Exploration and Preference Optimization via Mutual Information. CoRR abs/2607.01392 (2026) - 2025
- [j1]Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang:
Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. ACM Trans. Inf. Syst. 43(5): 139:1-139:25 (2025) - [c21]Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He:
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation. ACL (Findings) 2025: 6921-6936 - [c20]Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han:
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL (1) 2025: 11138-11165 - [c19]Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang:
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization. NeurIPS 2025 - [c18]Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He:
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. NeurIPS 2025 - [i31]Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He:
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. CoRR abs/2505.16270 (2025) - [i30]Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang:
Adaptive Sample Scheduling for Direct Preference Optimization. CoRR abs/2506.17252 (2025) - [i29]Hongyan Xie, Yitong Yao, Yikun Ban, Zixuan Huang, Deqing Wang, Zhenhe Wu, Haoxiang Su, Chao Wang, Shuangyong Song:
Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation. CoRR abs/2509.05602 (2025) - [i28]Zikun Qu, Min Zhang, Mingze Kong, Xiang Li, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Shuang Qiu, Yao Shu, Zhongxiang Dai:
T-POP: Test-Time Personalization with Online Preference Feedback. CoRR abs/2509.24696 (2025) - [i27]Pingchen Lu, Zhi Hong, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Yao Shu, Min Zhang, Shuang Qiu, Zhongxiang Dai:
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits. CoRR abs/2509.24701 (2025) - [i26]Yating Ren, Yikun Ban, Huobin Tan:
GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs. CoRR abs/2511.16778 (2025) - [i25]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:
LLMBoost: Make Large Language Models Stronger with Boosting. CoRR abs/2512.22309 (2025) - [i24]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:
Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process. CoRR abs/2512.23213 (2025) - 2024
- [c17]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. ICLR 2024 - [c16]Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee:
Contextual Bandits with Online Neural Regression. ICLR 2024 - [c15]Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He:
Meta Clustering of Neural Bandits. KDD 2024: 95-106 - [c14]Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He:
PageRank Bandits for Link Prediction. NeurIPS 2024 - [c13]Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He:
Robust Neural Contextual Bandit against Adversarial Corruptions. NeurIPS 2024 - [c12]Yikun Ban, Yunzhe Qi, Jingrui He:
Neural Contextual Bandits for Personalized Recommendation. WWW (Companion Volume) 2024: 1246-1249 - [i23]Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong:
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR abs/2404.04264 (2024) - [i22]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. CoRR abs/2404.12522 (2024) - [i21]Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He:
Meta Clustering of Neural Bandits. CoRR abs/2408.05586 (2024) - [i20]Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He:
LLM-Forest for Health Tabular Data Imputation. CoRR abs/2410.21520 (2024) - [i19]Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He:
PageRank Bandits for Link Prediction. CoRR abs/2411.01410 (2024) - [i18]Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han:
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? CoRR abs/2412.08174 (2024) - 2023
- [c11]Yunzhe Qi, Yikun Ban, Jingrui He:
Graph Neural Bandits. KDD 2023: 1920-1931 - [c10]Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He:
Meta-Learning with Neural Bandit Scheduler. NeurIPS 2023 - [i17]Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He:
Neural Exploitation and Exploration of Contextual Bandits. CoRR abs/2305.03784 (2023) - [i16]Yunzhe Qi, Yikun Ban, Jingrui He:
Graph Neural Bandits. CoRR abs/2308.10808 (2023) - [i15]Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee:
Contextual Bandits with Online Neural Regression. CoRR abs/2312.07145 (2023) - [i14]Yikun Ban, Yunzhe Qi, Jingrui He:
Neural Contextual Bandits for Personalized Recommendation. CoRR abs/2312.14037 (2023) - 2022
- [c9]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CIKM 2022: 4848-4852 - [c8]Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He:
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR 2022 - [c7]Yunzhe Qi, Yikun Ban, Jingrui He:
Neural Bandit with Arm Group Graph. KDD 2022: 1379-1389 - [c6]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. NeurIPS 2022 - [i13]Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He:
Neural Collaborative Filtering Bandits via Meta Learning. CoRR abs/2201.13395 (2022) - [i12]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR abs/2203.04928 (2022) - [i11]Yunzhe Qi, Yikun Ban, Jingrui He:
Neural Bandit with Arm Group Graph. CoRR abs/2206.03644 (2022) - [i10]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. CoRR abs/2210.00423 (2022) - 2021
- [c5]Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong:
Dynamic Knowledge Graph Alignment. AAAI 2021: 4564-4572 - [c4]Yikun Ban, Jingrui He, Curtiss B. Cook:
Multi-facet Contextual Bandits: A Neural Network Perspective. KDD 2021: 35-45 - [c3]Yikun Ban, Jingrui He:
Local Clustering in Contextual Multi-Armed Bandits. WWW 2021: 2335-2346 - [i9]Yikun Ban, Jingrui He:
Local Clustering in Contextual Multi-Armed Bandits. CoRR abs/2103.00063 (2021) - [i8]Yikun Ban, Jingrui He, Curtiss B. Cook:
Multi-facet Contextual Bandits: A Neural Network Perspective. CoRR abs/2106.03039 (2021) - [i7]Yikun Ban, Jingrui He:
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising. CoRR abs/2107.07438 (2021) - [i6]Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He:
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. CoRR abs/2110.03177 (2021) - 2020
- [c2]Yikun Ban, Jingrui He:
Generic Outlier Detection in Multi-Armed Bandit. KDD 2020: 913-923 - [i5]Yikun Ban, Jingrui He:
Generic Outlier Detection in Multi-Armed Bandit. CoRR abs/2007.07293 (2020)
2010 – 2019
- 2019
- [c1]Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu:
No Place to Hide: Catching Fraudulent Entities in Tensors. WWW 2019: 83-93 - [i4]Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi:
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping. CoRR abs/1908.08774 (2019) - 2018
- [i3]Yikun Ban, Xin Liu:
Bounding Entities within Dense Subtensors. CoRR abs/1810.06230 (2018) - [i2]Yikun Ban:
On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms. CoRR abs/1810.06809 (2018) - [i1]Yikun Ban, Jiao Sun, Xin Liu:
Catching Loosely Synchronized Behavior in Face of Camouflage. CoRR abs/1810.08885 (2018)
Coauthor Index
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last updated on 2026-08-20 02:00 CEST by the dblp team
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