Shu Yang

35 papers · 2021–2026 · 18 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (17) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏆 Grand Slam 🗃️ Keyword Collector (106) ⚡ Prolific Year (8) 🚀 Conference Pioneer 💎 Century Club (29) 🔥 Unstoppable (5) ❓ The Questioner (2)

Conferences

ACL (7) ICML (6) EMNLP (3) UAI (2) MICCAI (2) CVPR (2) AAAI (2) COLING (1) CLEAR (1) ICCV (1) ICLR (1) AISTATS (1) IJCNLP (1) INTERSPEECH (1) JMLR (1) AACL (1) MIDL (1) NIPS (1)

Top co-authors

Di Wang (8) Lijie Hu (6) Derek F. Wong (6) Junchao Wu (6) Lidia S. Chao (3) Fangmin Chen (3) Mengdi Li (3) Xing Mei (3) Runzhe Zhan (3) Chao Zeng (3)

Keywords

large language model (10) inference acceleration (3) causal inference (3) model compression (3) mechanistic interpretability (2) knowledge distillation (2) spiking neural network (2) semiparametric efficiency (2) benchmark evaluation (1) text classification (1) zero-shot learning (1) model misspecification (1) visual question answering (1) feature extraction (1) transfer learning (1) post-training quantization (1) information retrieval (1) text generation (1) bias detection (1) off-policy evaluation (1)

Papers

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs ACL 2026 Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images ACL 2026 Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis MIDL 2026 JARVIS or Ultron? A Survey on the Safety and Security Threats of Computer-Using Agents ACL 2026 When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models AAAI 2026 Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models ACL 2026 Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement CVPR 2025 GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference AACL 2025 Understanding How Value Neurons Shape the Generation of Specified Values in LLMs EMNLP 2025 Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation EMNLP 2025 Efficient Causal Decision Making with One-sided Feedback ICLR 2025 Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements ACL 2025 Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials ICML 2025 Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment ICML 2025 Doubly Robust Fusion of Many Treatments for Policy Learning ICML 2025 Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing ICML 2025 Understanding the Repeat Curse in Large Language Models from a Feature Perspective ACL 2025 GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference IJCNLP 2025 Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data JMLR 2025 Rethinking Prompt-based Debiasing in Large Language Model ACL 2025 ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025 Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore COLING 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025 Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model ICML 2024 Positivity-free Policy Learning with Observational Data AISTATS 2024 DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature EMNLP 2024 DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios NIPS 2024 Motion Based Audio-Visual Segmentation INTERSPEECH 2024 MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology MICCAI 2024 Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition MICCAI 2024 Inference for Optimal Linear Treatment Regimes in Personalized Decision-making UAI 2024 Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator UAI 2023 Multiply Robust Off-policy Evaluation and Learning under Truncation by Death ICML 2023 Integrative $R$-learner of heterogeneous treatment effects combining experimental and observational studies CLEAR 2022 Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation ICCV 2021