Michael R. Lyu
46 papers · 2004–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Conference Polyglot (12)
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Interdisciplinary Bridge
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Conference Polyglot
(12)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
(2)
π€
Dynamic Duo
(25)
ποΈ
Keyword Collector
(203)
β
The Questioner
β‘
Prolific Year
(10)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(45)
π₯
Unstoppable
(11)
Conferences
AAAI (8)
EMNLP (8)
IJCAI (8)
CVPR (7)
ACL (6)
NAACL (3)
ICCV (1)
ICML (1)
IJCNLP (1)
JMLR (1)
NIPS (1)
OSDI (1)
Top co-authors
Keywords
adversarial attack
(9)
large language model
(6)
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
From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
ACL 2026
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
ACL 2025
C2LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation
ACL 2025
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging
EMNLP 2025
SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design
EMNLP 2025
Learning to Reason from Feedback at Test-Time
ACL 2025
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases
EMNLP 2025
Learning to Ask: When LLM Agents Meet Unclear Instruction
EMNLP 2025
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
AAAI 2024
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
NIPS 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
AAAI 2024
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory
OSDI 2023
Towards Semantics- and Domain-Aware Adversarial Attacks
IJCAI 2023
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
ICCV 2023
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
AAAI 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization
CVPR 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
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution
CVPR 2020
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
CVPR 2020
Neuron Interaction Based Representation Composition for Neural Machine Translation
AAAI 2020
Boosting the Transferability of Adversarial Samples via Attention
CVPR 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
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
Generating Distractors for Reading Comprehension Questions from Real Examinations
AAAI 2019
Multi-Head Attention with Disagreement Regularization
EMNLP 2018
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization
IJCAI 2018
Code Completion with Neural Attention and Pointer Networks
IJCAI 2018
Topic Memory Networks for Short Text Classification
EMNLP 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
Training-Efficient Feature Map for Shift-Invariant Kernels
IJCAI 2015
Exploiting k-Degree Locality to Improve Overlapping Community Detection
IJCAI 2015
Where You Like to Go Next: Successive Point-of-Interest Recommendation
IJCAI 2013
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
The Minimum Error Minimax Probability Machine
JMLR 2004