conftrace_
← Authors

Li Zhao

38 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (8)
πŸ—ΊοΈ Taxonomy Completionist (46) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🧬 Topic Evolution πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🀝 Dynamic Duo (16) πŸ—ƒοΈ Keyword Collector (142) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (36) πŸ”₯ Unstoppable (10)

Conferences

NIPS (9) AAAI (7) ICML (4) IJCAI (4) ICLR (3) INTERSPEECH (3) ACL (2) ACML (2) EMNLP (2) IJCNLP (1) NAACL (1)

Top co-authors

Tao Qin (16) Tie-yan Liu (15) Jiang Bian (14) Chuheng Zhang (7) Lei Song (5) Pushi Zhang (4) Zichuan Lin (4) Guoqing Liu (3) Guangwen Yang (3) Minlie Huang (3)

Keywords

reinforcement learning (6) deep reinforcement learning (3) reward decomposition (3) distributional reinforcement learning (3) offline reinforcement learning (3) return distribution (2) traveling salesman problem (2) speech emotion recognition (2) robust reinforcement learning (2) value function (2) hierarchical text classification (2) policy gradient (2) dynamic routing (2) label embedding (2) policy optimization (2) transformer architecture (2) combinatorial optimization (2) neural machine translation (2) representation learning (2) neural network (2)

Papers

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 One-Shot Reference-based Structure-Aware Image to Sketch Synthesis AAAI 2025 Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators ICLR 2025 AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence ICML 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning AAAI 2024 Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023 Distributional Pareto-Optimal Multi-Objective Reinforcement Learning NIPS 2023 Robust Situational Reinforcement Learning in Face of Context Disturbances ICML 2023 Cross-Layer Similarity Knowledge Distillation for Speech Enhancement INTERSPEECH 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NIPS 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 NIPS 2022 Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification ACL 2021 Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification IJCNLP 2021 Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning NIPS 2021 Curriculum Offline Imitating Learning NIPS 2021 Independence-aware Advantage Estimation IJCAI 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NIPS 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021 RD$^2$: Reward Decomposition with Representation Decomposition NIPS 2020 Distributional Reward Decomposition for Reinforcement Learning NIPS 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019 Trust Region Evolution Strategies AAAI 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition INTERSPEECH 2019 Efficient Sequence Learning with Group Recurrent Networks NAACL 2018 Adversarial Neural Machine Translation ACML 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