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Zhe Yang

23 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12)
🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (64) 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ‘₯ Mega-Team (20) πŸ—ƒοΈ Keyword Collector (109) ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

EMNLP (6) AAAI (3) ACL (3) AISTATS (2) ICLR (2) NAACL (2) COLING (1) CVPR (1) ICCV (1) INTERSPEECH (1) NSDI (1)

Papers

CΒ³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026 Exploring Activation Patterns of Parameters in Language Models AAAI 2025 Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images AAAI 2025 Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs ACL 2025 Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation COLING 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing EMNLP 2025 LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token ICLR 2025 Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models ICLR 2025 Palette of Language Models: A Solver for Controlled Text Generation NAACL 2025 SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine NAACL 2025 Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024 LLM as a metric critic for low resource relation identification EMNLP 2024 Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 2024 Directed Hypergraph Representation Learning for Link Prediction AISTATS 2024 DHMConv: Directed Hypergraph Momentum Convolution Framework AISTATS 2024 LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing NSDI 2024 Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction ACL 2023 TFECN: Time-Frequency Enhanced ConvNet for Audio Classification INTERSPEECH 2023 Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning EMNLP 2023 Low-resource Neural Machine Translation with Cross-modal Alignment EMNLP 2022 CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation ICCV 2019 Depth Acquisition from Density Modulated Binary Patterns CVPR 2013