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← Authors

Shen Li

34 papers · 2012–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (15) 🌍 Conference Polyglot (13)
🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸ† Grand Slam πŸ† Keyword Champion 🧬 Topic Evolution πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (30) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (149) ⚑ Prolific Year (6)

Conferences

AAAI (6) ACL (4) NIPS (4) CVPR (3) EMNLP (3) IJCAI (3) CONLL (2) CORL (2) ICLR (2) ICML (2) ECCV (1) ICCV (1) RSS (1)

Top co-authors

Bryan Hooi (7) Jianqing Xu (5) Miao Xiong (4) Yong Li (4) Ailin Deng (4) Renfen Hu (4) Julie A Shah (3) Ankit Shah (3) Zhe Zhao (3) Tao Liu (3)

Keywords

model compression (5) large language model (4) diffusion model (3) representation learning (3) model quantization (3) face recognition (3) vision transformer (2) semantic segmentation (2) parameter efficiency (2) uncertainty estimation (2) word embedding (2) generative model (2) bayesian inference (2) knowledge distillation (2) word representation (2) semi-supervised learning (1) dimensionality reduction (1) reinforcement learning (1) transformer architecture (1) unsupervised learning (1)

Papers

Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation AAAI 2026 Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026 Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agents AAAI 2026 Importance-Aware Data Selection for Efficient LLM Instruction Tuning AAAI 2026 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025 EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR IJCAI 2025 Safety Layers in Aligned Large Language Models: The Key to LLM Security ICLR 2025 Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers ICCV 2025 Treasures in Discarded Weights for LLM Quantization AAAI 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025 Enhancing Preference-based Linear Bandits via Human Response Time NIPS 2024 Wukong: Towards a Scaling Law for Large-Scale Recommendation ICML 2024 $\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition NIPS 2024 Neighborhood Attention Transformer CVPR 2023 Proximity-Informed Calibration for Deep Neural Networks NIPS 2023 Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023 "Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness" ECCV 2022 Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations CORL 2022 Neural PCA for Flow-Based Representation Learning IJCAI 2022 Parameter-Efficient Sparsity for Large Language Models Fine-Tuning IJCAI 2022 PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ICML 2021 Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics RSS 2021 Spherical Confidence Learning for Face Recognition CVPR 2021 Identifying through Flows for Recovering Latent Representations ICLR 2020 A Prism Module for Semantic Disentanglement in Name Entity Recognition ACL 2019 Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration CORL 2019 Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View ACL 2019 Bayesian Inference of Temporal Task Specifications from Demonstrations NIPS 2018 From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information CONLL 2018 Analogical Reasoning on Chinese Morphological and Semantic Relations ACL 2018 Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics EMNLP 2017 Initializing Convolutional Filters with Semantic Features for Text Classification EMNLP 2017 Wiki-ly Supervised Part-of-Speech Tagging EMNLP 2012 Wiki-ly Supervised Part-of-Speech Tagging CONLL 2012