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Jialin Liu

21 papers · 2018–2026 · 9 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (45) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ† Keyword Champion πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (109) 🌈 Renaissance Researcher (5)

Venues

ICLR (6) NeurIPS (5) ICML (3) ACL (2) AAAI (1) CVPR (1) EMNLP (1) IJCAI (1) JMLR (1)

Top co-authors

Wotao Yin (12) Xiaohan Chen (9) Zhangyang Wang (7) Xinshang Wang (4) Ziang Chen (4) ChenZhuo Zhao (2) Feng Xiao (2) Bin-Bin Yang (2) Zhengxu Hou (2) Yangshijie Zhang (2)

Research topics

Machine Learning (16) Deep Learning (14) Optimization & Theory (12) Artificial Intelligence (9) Architectures (6) Core AI (6) Core Methods (6) Learning Types Β· Deep Learning (5) Application Areas (4) Mathematics & Optimization (2) Natural Language Processing (2) Learning Paradigms (2) Learning Types Β· Machine Learning (2) Models (2) Optimization (2)

Keywords

graph neural network (4) learning to optimize (3) neural network optimization (2) message passing (2) neural network (2) sparse recovery (2) sparse signal recovery (2) optimal solution (2) catastrophic forgetting (1) text generation (1) continual learning (1) autoregressive generation (1) universal approximation (1) compressed sensing (1) curriculum learning (1) compressive sensing (1) reinforcement learning (1) image denoising (1) markov chain monte carlo (1) continuous optimization (1)

Papers

EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation ACL 2026 MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender AAAI 2026 Triviality Corrected Endogenous Reward ACL 2026 Convolutional LoRA Aggregation for Unseen Tasks Adaptation EMNLP 2025 Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs ICML 2025 LiBOG: Lifelong Learning for Black-Box Optimizer Generation IJCAI 2025 StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation CVPR 2025 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 Rethinking the Capacity of Graph Neural Networks for Branching Strategy NeurIPS 2024 On Representing Linear Programs by Graph Neural Networks ICLR 2023 On Representing Mixed-Integer Linear Programs by Graph Neural Networks ICLR 2023 Towards Constituting Mathematical Structures for Learning to Optimize ICML 2023 Learning to Optimize: A Primer and A Benchmark JMLR 2022 Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval ICLR 2021 Hyperparameter Tuning is All You Need for LISTA NeurIPS 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learning A Minimax Optimizer: A Pilot Study ICLR 2021 ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA ICLR 2019 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NeurIPS 2019 Plug-and-Play Methods Provably Converge with Properly Trained Denoisers ICML 2019 Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NeurIPS 2018