Heng Chang

25 papers · 2020–2026 · 12 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🧬 Topic Evolution 🏆 Grand Slam 🗃️ Keyword Collector (124) ⚡ Prolific Year (12) 💎 Century Club (24) 🔥 Unstoppable (6) ❓ The Questioner

Conferences

AAAI (7) ACL (3) EMNLP (3) CVPR (2) MICCAI (2) NIPS (2) AACL (1) AISTATS (1) ICCV (1) ICLR (1) ICML (1) IJCNLP (1)

Top co-authors

Wenwu Zhu (8) Weijiang Yu (5) Shiji Zhou (4) Fei Ma (3) Yongfeng Huang (3) Jian Shao (3) Lianzhe Wang (3) Yueting Zhuang (3) Weiming Lu (3) Chang Zong (3)

Keywords

large language model (5) adversarial attack (3) graph neural network (3) adversarial robustness (3) style transfer (2) transfer learning (2) graph convolutional network (2) knowledge graph (2) instruction tuning (2) controlled text generation (2) knowledge editing (1) feature selection (1) zero-shot learning (1) question answering (1) active learning (1) cluster analysis (1) adversarial training (1) continual learning (1) visual reasoning (1) neural architecture search (1)

Papers

UNO! UNified Offline Training Paradigm for Learning Path Recommendation AAAI 2026 Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction MICCAI 2025 Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans MICCAI 2025 ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses IJCNLP 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters AAAI 2025 PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis AAAI 2025 ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses AACL 2025 VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism ACL 2025 One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025 From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities ACL 2025 How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future EMNLP 2025 Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering ICML 2025 QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ICLR 2024 Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering EMNLP 2024 Reusing Transferable Weight Increments for Low-resource Style Generation EMNLP 2024 TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration ICCV 2023 Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level CVPR 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 Online Continual Adaptation with Active Self-Training AISTATS 2022 Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021 Implicit Graph Neural Networks NIPS 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020 Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data AAAI 2020