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Wulong Liu

22 papers · 2020–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸ‘₯ Mega-Team Β· Squad πŸ† Grand Slam 🌈 Renaissance Researcher (7) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (115)

Venues

AAAI (7) NeurIPS (6) ICML (3) IJCAI (2) ACL (1) CoRL (1) EMNLP (1) ICLR (1)

Top co-authors

Jianye Hao (12) Dong Li (8) Zhaopeng Meng (5) Hongyao Tang (5) Zongzhang Zhang (5) Chen Chen (4) Jun Wang (3) Xianzhi Yu (3) Yuzheng Zhuang (3) Hangyu Mao (3)

Research topics

Artificial Intelligence (19) Machine Learning (15) Core AI (14) Reinforcement Learning (13) Methods (12) Deep Learning (9) Learning Types Β· Machine Learning (8) Learning Paradigms (6) Application Areas (5) Learning Types Β· Deep Learning (5) Applications (4) Core Methods (3) Mathematics & Optimization (2) Natural Language Processing (2) Optimization & Theory (2)

Keywords

deep reinforcement learning (5) reinforcement learning (3) contrastive learning (2) online planning (2) imitation learning (2) autonomous driving (2) option learning (2) partially observable markov decision process (2) policy transfer (2) meta-reinforcement learning (2) multi-agent reinforcement learning (2) representation learning (2) multimodal learning (1) mathematical reasoning (1) conformal prediction (1) mutual information (1) algorithmic fairness (1) robot learning (1) distributional reinforcement learning (1) adversarial learning (1)

Papers

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis ACL 2026 Faster and Better LLMs via Latency-Aware Test-Time Scaling EMNLP 2025 FlatQuant: Flatness Matters for LLM Quantization ICML 2025 KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference ICML 2025 Distributional Reinforcement Learning with Regularized Wasserstein Loss NeurIPS 2024 Conformalized Fairness via Quantile Regression NeurIPS 2022 Neuro-Symbolic Hierarchical Rule Induction ICML 2022 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 Adaptive Online Packing-guided Search for POMDPs NeurIPS 2021 Addressing Action Oscillations through Learning Policy Inertia AAAI 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory NeurIPS 2021 S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NeurIPS 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CoRL 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020