Li Li
68 papers · 2013–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (16) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
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Cross-Pollinator
(15)
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Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(109)
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Deep Specialist
(10)
π₯
Mega-Team
(30)
π
Grand Slam
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Conference Pioneer
ποΈ
Keyword Collector
(277)
β
The Questioner
π
Century Club
(60)
π₯
Unstoppable
(6)
β‘
Prolific Year
(8)
Conferences
AAAI (10)
CVPR (10)
ACL (7)
ICCV (6)
EMNLP (6)
NIPS (5)
INTERSPEECH (5)
ICLR (4)
ECCV (3)
IJCAI (3)
IJCNLP (2)
NAACL (2)
ICML (1)
EACL (1)
JMLR (1)
MICCAI (1)
AACL (1)
Top co-authors
Keywords
large language model
(8)
rate-distortion optimization
(4)
representation learning
(4)
speech enhancement
(4)
transfer learning
(3)
semantic segmentation
(3)
image compression
(3)
graph neural network
(3)
federated learning
(3)
domain adaptation
(3)
multi-agent system
(3)
diffusion model
(2)
zero-shot learning
(2)
model compression
(2)
multi-view learning
(2)
deep neural network
(2)
deep learning
(2)
neural machine translation
(2)
object detection
(2)
feature extraction
(2)
Papers
ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning
AAAI 2026
Transform-Free Feature Coding via Entropy-Constrained Vector Quantization
AAAI 2026
Neural Video Compression with Reference Hierarchy
AAAI 2026
A Survey on LLM-based Conversational User Simulation
EACL 2026
Bias Fitting to Mitigate Length Bias of Reward Model in RLHF
ACL 2026
Mitigating Hallucinations in Large Language Models via Causal Reasoning
AAAI 2026
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge
ACL 2026
Defenses Against Prompt Attacks Learn Surface Heuristics
ACL 2026
Learned Image Compression with Hierarchical Progressive Context Modeling
ICCV 2025
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing
AAAI 2025
Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective
AAAI 2025
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
AACL 2025
Neural Video Compression with Context Modulation
CVPR 2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
CVPR 2025
Flexible Group Count Enables Hassle-Free Structured Pruning
CVPR 2025
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025
Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction
MICCAI 2025
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
ICCV 2025
Leveraging Spatial Invariance to Boost Adversarial Transferability
ICCV 2025
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
IJCNLP 2025
Few-Shot Domain Adaptation for Learned Image Compression
AAAI 2025
Generalized Video Moment Retrieval
ICLR 2025
ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect
CVPR 2025
Augmented Deep Contexts for Spatially Embedded Video Coding
CVPR 2025
Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning
EMNLP 2025
Treble Counterfactual VLMs: A Causal Approach to Hallucination
EMNLP 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
Ranking-based Client Imitation Selection for Efficient Federated Learning
ICML 2024
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
NIPS 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
IJCAI 2024
Panoptic Scene Graph Generation with Semantics-Prototype Learning
AAAI 2024
Offline and Online Optical Flow Enhancement for Deep Video Compression
AAAI 2024
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
CVPR 2024
How to Configure Good In-Context Sequence for Visual Question Answering
CVPR 2024
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
ECCV 2024
Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis
ECCV 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification
NAACL 2024
Improved Remixing Process for Domain Adaptation-Based Speech Enhancement by Mitigating Data Imbalance in Signal-to-Noise Ratio
INTERSPEECH 2024
SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning
ICCV 2023
HandNeRF: Neural Radiance Fields for Animatable Interacting Hands
CVPR 2023
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
CVPR 2023
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system
INTERSPEECH 2023
VPGTrans: Transfer Visual Prompt Generator across LLMs
NIPS 2023
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
NIPS 2023
Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
ICCV 2023
Neural Characteristic Function Learning for Conditional Image Generation
ICCV 2023
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
ICLR 2022
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization
ACL 2022
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction
CVPR 2022
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
ICLR 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph
IJCAI 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training
NAACL 2022
Fast and Accurate Neural Machine Translation with Translation Memory
ACL 2021
Fast and Accurate Neural Machine Translation with Translation Memory
IJCNLP 2021
Towards understanding retrosynthesis by energy-based models
NIPS 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
NIPS 2021
Scaling Symbolic Methods using Gradients for Neural Model Explanation
ICLR 2021
Melodic Phrase Attention Network for Symbolic Data-based Music Genre Classification (Student Abstract)
AAAI 2021
Online Directional Speech Enhancement Using Geometrically Constrained Independent Vector Analysis
INTERSPEECH 2020
Can Cross Entropy Loss Be Robust to Label Noise?
IJCAI 2020
Learning Data-adaptive Non-parametric Kernels
JMLR 2020
Active Crowd Counting with Limited Supervision
ECCV 2020
Speech Enhancement Using Non-Negative Spectrogram Models with Mel-Generalized Cepstral Regularization
INTERSPEECH 2017
Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech
INTERSPEECH 2016
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method
EMNLP 2015
Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints
EMNLP 2014
Muli-label Text Categorization with Hidden Components
EMNLP 2014
Improving Chinese Word Segmentation on Micro-blog Using Rich Punctuations
ACL 2013