Wulong Liu

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

Achievements

+9 more ↓

🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13)

🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (48) 🌉 Interdisciplinary Bridge 👥 Mega-Team (32) 🏆 Grand Slam 🤝 Dynamic Duo (12) ⚡ Prolific Year (9) 🗃️ Keyword Collector (95) 💎 Century Club (21)

Conferences

AAAI (7) NIPS (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)

Keywords

deep reinforcement learning (5) reinforcement learning (3) partially observable markov decision process (2) online planning (2) meta-reinforcement learning (2) representation learning (2) option learning (2) policy transfer (2) contrastive learning (2) autonomous driving (2) multi-agent reinforcement learning (2) neural network optimization (1) policy learning (1) distributional reinforcement learning (1) multi-modal learning (1) sample efficiency (1) quantile regression (1) imitation learning (1) value function (1) mutual information (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 KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference ICML 2025 FlatQuant: Flatness Matters for LLM Quantization ICML 2025 Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024 Neuro-Symbolic Hierarchical Rule Induction ICML 2022 Conformalized Fairness via Quantile Regression NIPS 2022 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021 Adaptive Online Packing-guided Search for POMDPs NIPS 2021 Addressing Action Oscillations through Learning Policy Inertia AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory NIPS 2021 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020