Huan Li

37 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (10) 🏆 Grand Slam 🗃️ Keyword Collector (169) 💎 Century Club (30) 🔥 Unstoppable (8) 📈 Trend Setter ⚡ Prolific Year (8)

Conferences

AAAI (6) ACL (5) JMLR (5) NIPS (4) IJCAI (3) ACML (2) CVPR (2) ECCV (2) EMNLP (2) ICCV (2) ICML (2) AISTATS (1) ICLR (1)

Top co-authors

Zhouchen Lin (9) Lidan Shou (9) Ping Wei (6) Ke Chen (6) Jun Zhang (5) Gang Chen (5) Jinpeng Chen (3) Hailong Shi (2) Zeyu Ma (2) Yicheng Ji (2)

Keywords

video understanding (4) attention mechanism (3) speculative decoding (3) nonconvex optimization (3) biometric authentication (2) convergence rate (2) multimodal large language model (2) cross-modal learning (2) efficient inference (2) representation learning (2) stochastic optimization (2) stochastic gradient descent (2) gradient descent (2) accelerated gradient (2) convex optimization (2) graph clustering (2) distributed learning (2) transfer learning (2) federated learning (2) decentralized optimization (2)

Papers

Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism ACL 2026 DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation AAAI 2026 MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity AAAI 2026 HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference ACL 2026 ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems AAAI 2026 See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs ACL 2026 GlitchCleaner: Lightweight Glitch Tokens Repairing by Lossless Gated LoRA in Large Language Models AAAI 2026 TOTP: Transferable Online Pedestrian Trajectory Prediction with Temporal-Adaptive Mamba Latent Diffusion ICCV 2025 CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation AAAI 2025 T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning ACL 2025 SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning EMNLP 2025 Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models ICLR 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025 On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025 Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding ACL 2024 Mixture of neural fields for heterogeneous reconstruction in cryo-EM NIPS 2024 A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring IJCAI 2024 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection CVPR 2024 REDIR: Refocus-free Event-based De-occlusion Image Reconstruction ECCV 2024 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity JMLR 2023 Inverse Compositional Learning for Weakly-supervised Relation Grounding ICCV 2023 FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023 Sublinear Algorithms for Hierarchical Clustering NIPS 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022 Asymmetric Relation Consistency Reasoning for Video Relation Grounding ECCV 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity ICML 2022 Static-Dynamic Interaction Networks for Offline Signature Verification AAAI 2021 Approximate optimization of convex functions with outlier noise NIPS 2021 Hermitian matrices for clustering directed graphs: insights and applications AISTATS 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020 Inverse Discriminative Networks for Handwritten Signature Verification CVPR 2019 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018 Biharmonic Distance Related Centrality for Edges in Weighted Networks IJCAI 2018 Construction of Incoherent Dictionaries via Direct Babel Function Minimization ACML 2018 Accelerated Proximal Gradient Methods for Nonconvex Programming NIPS 2015