SQ
Shuang Qiu
cs.LGcs.AIstat.MLmath.OCcs.CLcs.GTcs.CVmath.STstat.THAlgorithms
On Valency
published · living versionsW_jkukqffk·v2 · currentpublished
Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization
with Jie Mao, Pingchen Lu, Xiangyi Wang, Hengquan Huang +2
2 versions
Preprints & journals
59 papers in the corpus · 2017–2026Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization2610.24385v2 · Jie Mao, Pingchen Lu, Xiangyi Wang et al.2026 · 0 citationsarXivon Valency
Process Reward Modeling with Reliability- and Conservatism-Aware Bayesian Belief2610.23223v1 · Zhongjian Qiao, Zhixiang Zhou, Jiafei Lyu et al.2026 · 0 citationsarXiv
Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty Equivalents2610.21870v1 · Hanzhen Wang, Boxiang Lyu, Zhongxiang Dai et al.2026 · 0 citationsarXiv
When More Objectives Make Identification Easier: The Role of Preferences and Feedback2610.18577v1 · Bo Xue, Ji Cheng, Yuanyu Wan et al.2026 · 0 citationsarXiv
Fast Rates for Offline Q-Learning with KL Regularization2610.18839v1 · Yize Hao, Guangxin Jiang, Shuang Qiu2026 · 0 citationsarXiv
Few-for-Many Best-Arm Identification in Multi-Objective Bandits2610.16840v1 · Bo Xue, Yilu Liu, Haodong Jing et al.2026 · 0 citationsarXiv
CB-Orchestrator: Adaptive Workflow Optimization for LLM Agents via Contextual Bandits2610.13064v1 · Jiahang Sun, Zhiwei Shang, Zhipiao Liu et al.2026 · 0 citationsarXiv
Test-Time Scaling via Budgeted Multi-Attribute Verification2609.34322v2 · Bo Xue, Ji Cheng, Shen-Huan Lyu et al.2026 · 0 citationsarXiv
Train Where the Quantized Model Goes: On-Policy Distillation for Low-Bit Reasoning2609.26708v1 · Yuanteng Chen, Zhilei Liu, Peisong Wang et al.2026 · 0 citationsarXiv
Efficient Online Lexicographic Generalized Low-Rank Matrix Bandits2608.04324v1 · Bo Xue, Ji Cheng, Haodong Jing et al.2026 · 0 citationsarXiv
Cost-Aware Multi-Objective Bandits: Theory and Application to Budgeted LLM Configuration Evaluation2608.04333v1 · Bo Xue, Zhi Hong, Jiayi Li et al.2026 · 0 citationsarXiv
SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation2608.04419v2 · Zikun Qu, Min Zhang, Mingze Kong et al.2026 · 0 citationsarXiv
DemoPSD: Disagreement-Modulated Policy Self-Distillation2607.02502v3 · Yunhe Li, Hao Shi, Wenhao Liu et al.2026 · 0 citationsarXiv
ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models2606.11164v1 · Wenhao Liu, Hao Shi, Yunhe Li et al.2026 · 0 citationsarXiv
Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets2605.24862v1 · Zhongjian Qiao, Jiafei Lyu, Chenjia Bai et al.2026 · 0 citationsarXiv
Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent2605.02469v1 · Yao Shu, Chenxing Wei, Hongbin Lin et al.2026 · 0 citationsarXiv
Learning to Reason with Insight for Informal Theorem Proving2604.16278v2 · Yunhe Li, Hao Shi, Bowen Deng et al.2026 · 0 citationsarXiv
AssemLM: A Spatial Reasoning Multimodal Large Language Model for Robotic Assembly2604.08983v2 · Zhi Jing, Jinbin Qiao, Ouyang Lu et al.2026 · 0 citationsarXiv
Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting2603.08118v1 · Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu et al.2026 · 0 citationsarXiv
Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling2602.14169v2 · Yiran Guo, Zhongjian Qiao, Yingqi Xie et al.2026 · 0 citationsarXiv
SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration2602.04361v2 · Zekun Li, Ning Wang, Tongxin Bai et al.2026 · 0 citationsarXiv
Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering2512.02435v4 · Zhongjian Qiao, Rui Yang, Jiafei Lyu et al.2025 · 0 citationsarXiv
Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts2512.02486v2 · Zhongjian Qiao, Rui Yang, Jiafei Lyu et al.2025 · 0 citationsarXiv
Self-Reflective Generation at Test Time2510.02919v2 · Jian Mu, Qixin Zhang, Zhiyong Wang et al.2025 · 0 citationsarXiv
T-POP: Test-Time Personalization with Online Preference Feedback2509.24696v2 · Zikun Qu, Min Zhang, Mingze Kong et al.2025 · 0 citationsarXiv
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits2509.24701v1 · Pingchen Lu, Zhi Hong, Zhiwei Shang et al.2025 · 0 citationsarXiv
On the Value of Myopic Behavior in Policy Reuse.40257884 · Bai, Chenjia, Xu, Kang, Qiu, Shuang et al.2025 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;47(8):6647-6659
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective2505.20922v2 · Yang Zhang, Xinran Li, Jianing Ye et al.2025 · 0 citationsarXiv
Online Preference Alignment for Language Models via Count-based Exploration2501.12735v3 · Chenjia Bai, Yang Zhang, Shuang Qiu et al.2025 · 0 citationsarXiv
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies2409.05622v2 · Zhao Shan, Chenyou Fan, Shuang Qiu et al.2024 · 2 citationsarXiv
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning2407.17466v1 · Shuang Qiu, Dake Zhang, Rui Yang et al.2024 · 1 citationarXiv
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning2407.07631v1 · Dake Zhang, Boxiang Lyu, Shuang Qiu et al.2024 · 0 citationsICML 2024: Proceedings of the 41st International Conference on Machine Learning Article No.: 2457, Pages 59459 - 59489
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling2407.04285v4 · Jiawei Xu, Rui Yang, Shuang Qiu et al.2024 · 0 citationsarXiv
ROPO: Robust Preference Optimization for Large Language Models2404.04102v2 · Xize Liang, Chao Chen, Shuang Qiu et al.2024 · 0 citationsarXiv
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards2402.18571v3 · Haoxiang Wang, Yong Lin, Wei Xiong et al.2024 · 7 citationsarXiv
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment2402.10207v6 · Rui Yang, Xiaoman Pan, Feng Luo et al.2024 · 0 citationsarXiv
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation2310.19861v1 · Shuang Qiu, Ziyu Dai, Han Zhong et al.2023 · 1 citationarXiv
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning2207.14800v3 · Shuang Qiu, Lingxiao Wang, Chenjia Bai et al.2022 · 8 citationsarXiv
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions2207.12463v1 · Shuang Qiu, Xiaohan Wei, Jieping Ye et al.2022 · 2 citationsarXiv
Stochastic Gradient Descent without Full Data Shuffle2206.05830v1 · Lijie Xu, Shuang Qiu, Binhang Yuan et al.2022 · 1 citationarXiv
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach2202.12797v3 · Shuang Qiu, Boxiang Lyu, Qinglin Meng et al.2022 · 2 citationsarXiv
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.33621166 · Gui, Shupeng, Zhang, Xiangliang, Zhong, Pan et al.2022 · 12 citationsIEEE transactions on pattern analysis and machine intelligence. 2022;44(2):770-782
Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos.35881602 · Zou, Zhengxia, Zhao, Rui, Shi, Tianyang et al.2022 · 20 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2022;31:5067-5078
Safe Screening for Sparse Conditional Random Fields2111.13958v1 · Weizhong Zhang, Shuang Qiu2021 · 0 citationsarXiv
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game2110.09771v2 · Shuang Qiu, Jieping Ye, Zhaoran Wang et al.2021 · 5 citationsarXiv
Stylized Neural Painting2011.08114v1 · Zhengxia Zou, Tianyang Shi, Shuang Qiu et al.2020 · 96 citationsarXiv
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning2008.10103v1 · Shuang Qiu, Zhuoran Yang, Xiaohan Wei et al.2020 · 13 citationsarXiv
Gradient-Variation Bound for Online Convex Optimization with Constraints2006.12455v3 · Shuang Qiu, Xiaohan Wei, Mladen Kolar2020 · 1 citationarXiv
Energy-Aware DNN Graph Optimization2005.05837v2 · Yu Wang, Rong Ge, Shuang Qiu2020 · 3 citationsarXiv
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss2003.00660v3 · Shuang Qiu, Xiaohan Wei, Zhuoran Yang et al.2020 · 21 citationsarXiv
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