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Yunpu Ma

30 papers · 2018–2026 · 10 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (20) πŸ† Keyword Champion (3) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (151)

Venues

EMNLP (10) AAAI (6) ACL (5) CVPR (2) NAACL (2) AISTATS (1) EACL (1) ICLR (1) IJCAI (1) NeurIPS (1)

Top co-authors

Volker Tresp (20) Zhen Han (8) Zifeng Ding (5) Jinhe Bi (4) Hinrich Schuetze (3) Shuo Chen (3) Ruotong Liao (3) Mitchell Joblin (2) Junyan Lin (2) Hao Wu (2)

Research topics

Artificial Intelligence (26) Core AI (25) Deep Learning (13) Machine Learning (13) Core Methods (8) Architectures (7) Knowledge & Reasoning (6) Representation (6) Computer Vision (5) Natural Language Processing (5) Learning Paradigms (5) Learning Types (4) Optimization & Theory (4) Resources & Methods (4) Processing (3)

Keywords

temporal knowledge graph (9) large language model (7) link prediction (6) multi-agent system (4) video understanding (3) knowledge graph completion (3) knowledge graph (3) chain-of-thought reasoning (3) reinforcement learning (3) link forecasting (3) attention mechanism (2) zero-shot learning (2) knowledge graph forecasting (2) parameter-efficient tuning (2) knowledge graph embedding (2) parameter-efficient fine-tuning (2) graph representation (2) question answering (2) vision-language model (2) embedding learning (1)

Papers

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM AAAI 2026 DAWN: Distributed LLM Multi-Agent Workflow Synthesis AAAI 2026 Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation ACL 2026 Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning ACL 2026 OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model AAAI 2026 Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026 Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models CVPR 2026 UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking CVPR 2026 ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge EMNLP 2025 Improving LLM Reasoning through Interpretable Role-Playing Steering EMNLP 2025 Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes EMNLP 2025 LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering ACL 2025 METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding EMNLP 2025 SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence EMNLP 2025 WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration AAAI 2025 GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024 VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs EMNLP 2024 zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models NAACL 2024 Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NeurIPS 2023 TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion ACL 2022 TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs AAAI 2022 Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs ICLR 2021 KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation ACL 2021 Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs EMNLP 2021 Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework EMNLP 2021 TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting EMNLP 2021 DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020 Reasoning on Knowledge Graphs with Debate Dynamics AAAI 2020 Improving Information Extraction from Images with Learned Semantic Models IJCAI 2018