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← Authors

Yuhang Li

35 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (13)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion 💎 Century Club (34) ⚡ Prolific Year (6) 🔥 Unstoppable (6) 🗃️ Keyword Collector (94)

Conferences

ECCV (7) ICLR (5) ICML (5) NIPS (5) ICCV (4) AAAI (2) AISTATS (2) CVPR (2) ACL (1) EMNLP (1) INTERSPEECH (1)

Top co-authors

Priyadarshini Panda (9) Youngeun Kim (8) Ruihao Gong (7) Shi Gu (6) Xin Dong (5) Fengwei Yu (5) Shikuang Deng (4) Hyoungseob Park (4) Xianglong Liu (3) Donghyun Lee (3)

Keywords

spiking neural network (6) model compression (5) neural network quantization (2) trajectory prediction (2) knowledge distillation (2) autonomous driving (2) neuromorphic computing (2) temporal information (2) surrogate gradient (2) post-training quantization (2) image classification (1) offline reinforcement learning (1) temporal modeling (1) ensemble learning (1) multi-task learning (1) representation learning (1) continual learning (1) noisy label learning (1) reinforcement learning (1) motion estimation (1)

Papers

ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding ACL 2026 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels ICCV 2025 Spiking Transformer with Spatial-Temporal Attention CVPR 2025 NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations ICCV 2025 Tensor Decomposition Based Memory-Efficient Incremental Learning ICML 2025 GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration ICML 2025 One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory ICML 2025 Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement ICLR 2025 A Simple Background Augmentation Method for Object Detection with Diffusion Model ECCV 2024 LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations NIPS 2024 PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding NIPS 2024 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding ECCV 2024 One-stage Prompt-based Continual Learning ECCV 2024 GenQ: Quantization in Low Data Regimes with Generative Synthetic Data ECCV 2024 Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion INTERSPEECH 2023 Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023 An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023 Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023 Exploring Temporal Information Dynamics in Spiking Neural Networks AAAI 2023 SEENN: Towards Temporal Spiking Early Exit Neural Networks NIPS 2023 Neural Architecture Search for Spiking Neural Networks ECCV 2022 Neuromorphic Data Augmentation for Training Spiking Neural Networks ECCV 2022 Exploring Lottery Ticket Hypothesis in Spiking Neural Networks ECCV 2022 AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies NIPS 2022 Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting ICLR 2022 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization ICLR 2022 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021 Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration ICML 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks NIPS 2021 MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing ICCV 2021 Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks ICLR 2020 RTN: Reparameterized Ternary Network AAAI 2020