← Authors

Michael R. Lyu

45 papers · 2004–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (21) πŸ—ΊοΈ Taxonomy Completionist (13) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (25) πŸ—ƒοΈ Keyword Collector (203) ❓ The Questioner ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (45) πŸ”₯ Unstoppable (11)

Conferences

AAAI (8) EMNLP (8) IJCAI (8) CVPR (7) ACL (5) NAACL (3) ICCV (1) ICML (1) IJCNLP (1) JMLR (1) NIPS (1) OSDI (1)

Top co-authors

Irwin King (25) Weibin Wu (10) Yuxin Su (6) Wenxuan Wang (6) Jen-tse Huang (6) Jianping Zhang (6) Yifan Gao (5) Jian Li (4) Xixian Chen (4) Haiqin Yang (4)

Keywords

adversarial attack (9) large language model (5) adversarial example (4) neural network (4) attention mechanism (4) language model (3) text generation (3) transfer-based attack (3) adversarial sample (3) question generation (3) multi-head attention (2) representation learning (2) black-box attack (2) sequence-to-sequence model (2) vision transformer (2) self-supervised learning (2) unsupervised learning (2) topic modeling (2) sequence generation (2) neural machine translation (2)

Papers

SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design EMNLP 2025
C2LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation ACL 2025
Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models ACL 2025
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025
Learning to Reason from Feedback at Test-Time ACL 2025
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging EMNLP 2025
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans NIPS 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024
Curvature-Invariant Adversarial Attacks for 3D Point Clouds AAAI 2024
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control ICCV 2023
Towards Semantics- and Domain-Aware Adversarial Attacks IJCAI 2023
SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory OSDI 2023
Text Revision By On-the-Fly Representation Optimization AAAI 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
Boosting the Transferability of Adversarial Samples via Attention CVPR 2020
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching CVPR 2020
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020
Neuron Interaction Based Representation Composition for Neural Machine Translation AAAI 2020
Title-Guided Encoding for Keyphrase Generation AAAI 2019
Improving Question Generation With to the Point Context EMNLP 2019
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling ACL 2019
Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019
DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019
Generating Distractors for Reading Comprehension Questions from Real Examinations AAAI 2019
Improving Question Generation With to the Point Context IJCNLP 2019
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition NAACL 2019
Microblog Hashtag Generation via Encoding Conversation Contexts NAACL 2019
Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019
Multi-Head Attention with Disagreement Regularization EMNLP 2018
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018
Topic Memory Networks for Short Text Classification EMNLP 2018
Code Completion with Neural Attention and Pointer Networks IJCAI 2018
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data ICML 2017
Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection IJCAI 2016
Exploiting k-Degree Locality to Improve Overlapping Community Detection IJCAI 2015
Training-Efficient Feature Map for Shift-Invariant Kernels IJCAI 2015
A Unified Framework for Reputation Estimation in Online Rating Systems IJCAI 2013
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers EMNLP 2013
Where You Like to Go Next: Successive Point-of-Interest Recommendation IJCAI 2013
The Minimum Error Minimax Probability Machine JMLR 2004