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Jingyuan Wang

33 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (6)
🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (68) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (4) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (25) πŸ—ƒοΈ Keyword Collector (148) ⚑ Prolific Year (7)

Conferences

AAAI (15) ICML (4) ACL (3) EMNLP (3) IJCAI (3) ACML (1) COLING (1) ICLR (1) INTERSPEECH (1) NAACL (1)

Top co-authors

Ji-Rong Wen (4) Junjie Wu (4) Wayne Xin Zhao (4) Jiahao Ji (4) Jiawei Jiang (3) Chao Huang (3) Zimeng Li (3) Chengkai Han (2) Xiangyu Zhao (2) CHAO LI (2)

Keywords

large language model (6) traffic flow prediction (4) transfer learning (4) representation learning (4) road network (4) neural network (3) retrieval-augmented generation (2) self-supervised learning (2) significance testing (2) contrastive learning (2) pretrained language model (2) trajectory generation (2) bayesian neural network (2) graph neural network (2) uncertainty quantification (1) cognitive modeling (1) few-shot learning (1) bayesian inference (1) convex optimization (1) zero-shot learning (1)

Papers

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026 Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning AAAI 2026 ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models AAAI 2026 LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? ACL 2026 Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026 Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation AAAI 2026 Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems AAAI 2026 MiniRAG: A Lightweight RAG system with Small Language Models ACL 2026 Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning AAAI 2025 ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation ICML 2025 Approximation to Smooth Functions by Low-Rank Swish Networks ICML 2025 Distributionally Robust Policy Learning under Concept Drifts ICML 2025 Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents EMNLP 2025 GTG: Generalizable Trajectory Generation Model for Urban Mobility AAAI 2025 HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph IJCAI 2025 POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning AAAI 2025 Adaptively Learning to Select-Rank in Online Platforms ICML 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model ACML 2024 NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification COLING 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction ICLR 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding INTERSPEECH 2023 The Web Can Be Your Oyster for Improving Language Models ACL 2023 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction AAAI 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction AAAI 2023 Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models EMNLP 2023 ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022 Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach IJCAI 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022 SVM-Based Deep Stacking Networks AAAI 2019