Xin-Qiang Cai - RankMe

25 papers A* 6A 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models. CoRR Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua
2026	J	`jnl`	VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction. CoRR Xin-Qiang Cai, Masashi Sugiyama
2025	A*	`conf`	Learning View-invariant World Models for Visual Robotic Manipulation. ICLR Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu
2025	J	`jnl`	PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models. CoRR Jiansong Wan, Chengming Zhou, Jinkua Liu, Xiangge Huang, Xiaoyu Chen, Xiaohan Yi, Qisen Yang, Baiting Zhu, Xin-Qiang Cai, Lixing Liu, Rushuai Yang, Chuheng Zhang, Sherif Abdelfattah, Hayong Shin, Pushi Zhang, Li Zhao, Jiang Bian
2025	J	`jnl`	Reinforcement Learning from Bagged Reward. Trans. Mach. Learn. Res. Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
2025	J	`jnl`	Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers. CoRR Xin-Qiang Cai, Wei Wang, Feng Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama
2025	J	`jnl`	Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective. CoRR Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Ming-Kun Xie, Biao Liu, Changwei Wang, Lei Feng, Yuheng Jia, Gang Niu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality. CoRR Zelei Cheng, Xin-Qiang Cai, Yuting Tang, Pushi Zhang, Boming Yang, Xinyu Xing
2024	A	`conf`	An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video. ECAI Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi
2024	J	`jnl`	An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video. CoRR Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi
2024	J	`jnl`	Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning. CoRR Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama
2024	J	`jnl`	Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains. CoRR Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann, Masashi Sugiyama
2024	—	`conf`	Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. EACL (1) Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka
2024	J	`jnl`	Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution. CoRR Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
2024	A*	`conf`	Soft-Label Integration for Robust Toxicity Classification. NeurIPS Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing
2024	J	`jnl`	Soft-Label Integration for Robust Toxicity Classification. CoRR Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing
2023	A*	`conf`	Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. NeurIPS Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
2023	A*	`conf`	Imitation Learning from Vague Feedback. NeurIPS Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama
2023	J	`jnl`	Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. CoRR Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka
2023	A*	`conf`	Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2022	A	`conf`	Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou
2021	A	`conf`	Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2019	J	`jnl`	Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2019	A*	`conf`	Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang