Li Zhao

IGIANet: Illumination Guided Implicit Alignment Network for Infrared–Visible UAV Detection AAAI 2026 MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning AAAI 2026 AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence ICML 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 One-Shot Reference-based Structure-Aware Image to Sketch Synthesis AAAI 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators ICLR 2025 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024 VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning AAAI 2024 Distributional Pareto-Optimal Multi-Objective Reinforcement Learning NeurIPS 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Robust Situational Reinforcement Learning in Face of Context Disturbances ICML 2023 Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NeurIPS 2022 Cross-Layer Similarity Knowledge Distillation for Speech Enhancement Interspeech 2022 Deep Transductive Transfer Regression Network for Cross-Corpus Speech Emotion Recognition Interspeech 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NeurIPS 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022 Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification ACL 2021 Curriculum Offline Imitating Learning NeurIPS 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NeurIPS 2021 Independence-aware Advantage Estimation IJCAI 2021 Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning NeurIPS 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021 RD$^2$: Reward Decomposition with Representation Decomposition NeurIPS 2020 Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition Interspeech 2019 Distributional Reward Decomposition for Reinforcement Learning NeurIPS 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NeurIPS 2019 Trust Region Evolution Strategies AAAI 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Adversarial Neural Machine Translation ACML 2018 Efficient Sequence Learning with Group Recurrent Networks NAACL 2018 Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017 Attention-based LSTM for Aspect-level Sentiment Classification EMNLP 2016 Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency EMNLP 2014