Qi Wang - RankMe

42 papers A* 9B 1C 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? KDD (1) Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji
2026	J	`jnl`	Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models. CoRR Yixiu Mao, Yun Qu, Qi Wang, Heming Zou, Xiangyang Ji
2026	J	`jnl`	Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models. CoRR Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji
2025	J	`jnl`	A Unified Multi-Task Learning Framework for Generative Auto-Bidding with Validation-Aligned Optimization. CoRR Yiqin Lv, Zhiyu Mou, Miao Xu, Jinghao Chen, Qi Wang, Yixiu Mao, Yun Qu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Xiangyang Ji
2025	J	`jnl`	Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning. CoRR Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
2025	J	`jnl`	Bridge the Inference Gaps of Neural Processes via Expectation Maximization. CoRR Qi Wang, Marco Federici, Herke van Hoof
2025	J	`jnl`	Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? CoRR Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji
2025	A*	`conf`	DynaPrompt: Dynamic Test-Time Prompt Tuning. ICLR Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G. M. Snoek
2025	J	`jnl`	DynaPrompt: Dynamic Test-Time Prompt Tuning. CoRR Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G. M. Snoek
2025	J	`jnl`	Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search. CoRR Zhiyu Mou, Yiqin Lv, Miao Xu, Qi Wang, Yixiu Mao, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng
2025	J	`jnl`	Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments. CoRR Yun Qu, Qi Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji
2025	J	`jnl`	Gains: Fine-grained Federated Domain Adaptation in Open Set. CoRR Zhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Qi Wang, Guanbo Wang, Yongheng Deng, Ju Ren
2025	J	`jnl`	Group & reweight: a novel cost-sensitive approach to mitigating class imbalance in network traffic classification. Int. J. Mach. Learn. Cybern. Wumei Du, Dong Liang, Yiqin Lv, Xingxing Liang, Guanlin Wu, Qi Wang, Zheng Xie
2025	J	`jnl`	Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs. CoRR Ziqi Wang, Chang Che, Qi Wang, Hui Ma, Zenglin Shi, Cees G. M. Snoek, Meng Wang
2025	J	`jnl`	LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning. CoRR Chang Che, Ziqi Wang, Pengwan Yang, Qi Wang, Hui Ma, Zenglin Shi
2025	J	`jnl`	Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning. CoRR Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
2024	A*	`conf`	Balanced Confidence Calibration for Graph Neural Networks. KDD Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou
2024	A*	`conf`	Doubly Mild Generalization for Offline Reinforcement Learning. NeurIPS Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji
2024	J	`jnl`	Doubly Mild Generalization for Offline Reinforcement Learning. CoRR Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji
2024	J	`jnl`	Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification. CoRR Wumei Du, Qi Wang, Yiqin Lv, Dong Liang, Guanlin Wu, Xingxing Liang, Zheng Xie
2024	J	`jnl`	Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. Inf. Fusion Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou
2024	A*	`conf`	Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression. NeurIPS Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji
2024	J	`jnl`	Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression. CoRR Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji
2024	J	`jnl`	Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning. CoRR Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie
2023	A*	`conf`	A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm. NeurIPS Qi Wang, Yiqin Lv, Yang-He Feng, Zheng Xie, Jincai Huang
2023	J	`jnl`	A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm. CoRR Qi Wang, Yiqin Lv, Yanghe Feng, Zheng Xie, Jincai Huang
2023	A*	`conf`	Bridge the Inference Gaps of Neural Processes via Expectation Maximization. ICLR Qi Wang, Marco Federici, Herke van Hoof
2023	J	`jnl`	Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI. CoRR Qi Wang, Yanghe Feng, Jincai Huang, Yiqin Lv, Zheng Xie, Xiaoshan Gao
2022	A*	`conf`	Learning Expressive Meta-Representations with Mixture of Expert Neural Processes. NeurIPS Qi Wang, Herke van Hoof
2022	A*	`conf`	Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search. ICML Qi Wang, Herke van Hoof
2021	J	`jnl`	Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models. CoRR Qi Wang, Herke van Hoof
2020	J	`jnl`	CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale. Knowl. Based Syst. Qi Wang, Guangyin Jin, Xia Zhao, Yang-He Feng, Jincai Huang
2020	A*	`conf`	Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables. ICML Qi Wang, Herke van Hoof
2020	J	`jnl`	Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables. CoRR Qi Wang, Herke van Hoof
2020	J	`jnl`	Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. Appl. Soft Comput. Guangyin Jin, Qi Wang, Cunchao Zhu, Yanghe Feng, Jincai Huang, Xingchen Hu
2019	—	`conf`	Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. IEEE BigData Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang
2018	—	`conf`	Addressing the Task of Rocket Recycling with Deep Reinforcement Learning. ICIT Guangyin Jin, Jincai Huang, Yang-He Feng, Guangquan Cheng, Zhong Liu, Qi Wang
2018	B	`conf`	The Mathematical Modeling of the Two-Echelon Ground Vehicle and Its Mounted Unmanned Aerial Vehicle Cooperated Routing Problem. Intelligent Vehicles Symposium Zhihao Luo, Zhong Liu, Jianmai Shi, Qi Wang, Tianren Zhou, Yao Liu
2018	J	`jnl`	VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. CoRR Xingxing Liang, Qi Wang, Yang-He Feng, Zhong Liu, Jincai Huang
2017	J	`jnl`	A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM. Comput. Intell. Neurosci. Qi Wang, Zhihao Luo, Jincai Huang, Yang-He Feng, Zhong Liu
2017	C	`conf`	Online Shopping Recommendation with Bayesian Probabilistic Matrix Factorization. ICIS Jinming Wu, Zhong Liu, Guangquan Cheng, Qi Wang, Jincai Huang
2017	J	`jnl`	PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway. Comput. Intell. Neurosci. Tengjiao Wang, Yang-He Feng, Qi Wang