Michael R. Lyu

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 Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025 Learning to Reason from Feedback at Test-Time ACL 2025 SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design EMNLP 2025 UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging EMNLP 2025 Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025 Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans NeurIPS 2024 Curvature-Invariant Adversarial Attacks for 3D Point Clouds AAAI 2024 Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection 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 SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory OSDI 2023 Towards Semantics- and Domain-Aware Adversarial Attacks IJCAI 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 Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022 Text Revision By On-the-Fly Representation Optimization AAAI 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 Neuron Interaction Based Representation Composition for Neural Machine Translation AAAI 2020 Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 Generating Distractors for Reading Comprehension Questions from Real Examinations AAAI 2019 HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition NAACL 2019 Improving Question Generation With to the Point Context EMNLP 2019 Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019 Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling ACL 2019 Microblog Hashtag Generation via Encoding Conversation Contexts NAACL 2019 Title-Guided Encoding for Keyphrase Generation AAAI 2019 Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018 Code Completion with Neural Attention and Pointer Networks IJCAI 2018 Multi-Head Attention with Disagreement Regularization EMNLP 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 Exploiting k-Degree Locality to Improve Overlapping Community Detection IJCAI 2015 Training-Efficient Feature Map for Shift-Invariant Kernels IJCAI 2015 A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers EMNLP 2013 A Unified Framework for Reputation Estimation in Online Rating Systems IJCAI 2013 Where You Like to Go Next: Successive Point-of-Interest Recommendation IJCAI 2013 The Minimum Error Minimax Probability Machine JMLR 2004