Yang Li

219 papers · 2013–2026 · 24 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (23) 🏠 Conference Loyalist (29) 🔬 Deep Specialist (27) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 👥 Mega-Team (43) 🤝 Dynamic Duo (15) 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (11) ❓ The Questioner 💎 Century Club (198) 🗃️ Keyword Collector (109) ⚡ Prolific Year (19)

Conferences

AAAI (44) NIPS (29) ICML (23) EMNLP (21) ACL (18) CVPR (12) ICLR (11) IJCAI (11) ICCV (10) EACL (7) COLING (6) ECCV (6) NAACL (4) UAI (3) INTERSPEECH (3) MICCAI (3) AACL (1) NSDI (1) PGM (1) WACV (1) JMLR (1) IJCNLP (1) CORL (1) AISTATS (1)

Top co-authors

Junchi Yan (15) Gang Li (9) Si Si (8) Bin CUI (8) Junier Oliva (7) Wentao Zhang (7) Suge Wang (6) Jian Liao (6) Jianxing Zheng (6) Yu Shen (6)

Keywords

large language model (22) diffusion model (11) graph neural network (10) multi-agent system (8) domain adaptation (8) attention mechanism (7) contrastive learning (7) generative model (7) multimodal learning (6) data augmentation (6) model compression (5) bayesian optimization (5) convolutional neural network (5) hyperparameter optimization (5) semi-supervised learning (5) zero-shot learning (5) relation extraction (5) question answering (5) few-shot learning (4) unsupervised learning (4)

Papers

Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer AAAI 2026

From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks AAAI 2026

Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction AAAI 2026

PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure AAAI 2026

Simulating Distribution Dynamics: Liquid Temporal Feature Evolution for Single-Domain Generalized Object Detection AAAI 2026

Target-Balanced Score Distillation AAAI 2026

Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration EACL 2026

Deeply Seeking Boundary for Lunar Regolith Segmentation AAAI 2026

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation AAAI 2026

Specialization through Collaboration: Understanding Expert Interaction in Mixture-of-Expert Large Language Models EACL 2026

SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability AAAI 2026

HyperDiag: Temporal–Regional Hypergraph Learning via Topology-Enhanced State Propagation for Brain Disease Diagnosis AAAI 2026

GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting AAAI 2026

FVNet: Harnessing Liquid Neural Dynamics for Lightweight Visual Representation AAAI 2026

Splats in Splats: Robust and Effective 3D Steganography Towards Gaussian Splatting AAAI 2026

DHCM-CACL: Dynamic Hierarchical Cross-modal Mamba with Confidence-Adaptive Contrastive Learning for Multimodal Emotion Recognition AAAI 2026

Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs EACL 2026

Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026

Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks AAAI 2026

LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts EACL 2026

AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit CORL 2025

Dissecting and Streamlining the Interactive Loop of Mobile Cloud Gaming NSDI 2025

Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions NAACL 2025

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains NAACL 2025

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel MICCAI 2025

Hierarchical Feature Learning for Medical Point Clouds via State Space Model MICCAI 2025

EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation MICCAI 2025

OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning IJCNLP 2025

FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network IJCAI 2025

RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers ICML 2025

Parrot: Multilingual Visual Instruction Tuning ICML 2025

OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning AACL 2025

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision AAAI 2025

Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation AAAI 2025

LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data AAAI 2025

Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models AAAI 2025

TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings AAAI 2025

Enhancing Sequential Recommendation with Global Diffusion AAAI 2025

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025

Population Aware Diffusion for Time Series Generation AAAI 2025

COExpander: Adaptive Solution Expansion for Combinatorial Optimization ICML 2025

Policy Guided Tree Search for Enhanced LLM Reasoning ICML 2025

Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning ICML 2025

Optimal Auction Design in the Joint Advertising ICML 2025

Active Evaluation Acquisition for Efficient LLM Benchmarking ICML 2025

PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning ICML 2025

Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time ICML 2025

Open-World Reinforcement Learning over Long Short-Term Imagination ICLR 2025

GLOMA: Global Video Text Spotting with Morphological Association ICLR 2025

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP ICLR 2025

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search ICLR 2025

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association ACL 2025

Improving Factuality with Explicit Working Memory ACL 2025

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers ACL 2025

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios ACL 2025

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning ACL 2025

Towards Cost Sensitive Decision Making AISTATS 2025

Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025

Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025

CDAˆ2: Counterfactual Diffusion Augmentation for Cross-Domain Adaptation in Low-Resource Sentiment Analysis COLING 2025

A Compliance Checking Framework Based on Retrieval Augmented Generation COLING 2025

GUAVA: Generalizable Upper Body 3D Gaussian Avatar ICCV 2025

Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025

Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025

StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams ICCV 2025

Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks EMNLP 2025

Can LLMs be Good Graph Judge for Knowledge Graph Construction? EMNLP 2025

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering EMNLP 2025

HiFi-Portrait: Zero-shot Identity-preserved Portrait Generation with High-fidelity Multi-face Fusion CVPR 2025

One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception CVPR 2025

ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets NIPS 2024

Mixtures of Experts for Audio-Visual Learning NIPS 2024

LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image NIPS 2024

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks NIPS 2024

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NIPS 2024

Wings: Learning Multimodal LLMs without Text-only Forgetting NIPS 2024

ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model NIPS 2024

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NIPS 2024

Aligning Individual and Collective Objectives in Multi-Agent Cooperation NIPS 2024

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NIPS 2024

UniAR: A Unified model for predicting human Attention and Responses on visual content NIPS 2024

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024

Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation AAAI 2024

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion AAAI 2024

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer AAAI 2024

A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction AAAI 2024

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection AAAI 2024

ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition ACL 2024

Diffusion Based Counterfactual Augmentation for Dual Sentiment Classification COLING 2024

Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation COLING 2024

Rich Human Feedback for Text-to-Image Generation CVPR 2024

On Scaling Up a Multilingual Vision and Language Model CVPR 2024

CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification EACL 2024

MUG: Interactive Multimodal Grounding on User Interfaces EACL 2024

"NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation" ECCV 2024

Multi-scale Cross Distillation for Object Detection in Aerial Images ECCV 2024

Target-Aware Language Modeling via Granular Data Sampling EMNLP 2024

Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024

Devil’s Advocate: Anticipatory Reflection for LLM Agents EMNLP 2024

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024

MixSATGEN: Learning Graph Mixing for SAT Instance Generation ICLR 2024

Perceptual Group Tokenizer: Building Perception with Iterative Grouping ICLR 2024

Enhancing Implicit Shape Generators Using Topological Regularizations ICML 2024

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation ICML 2024

Language Models as Semantic Indexers ICML 2024

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning ICML 2024

Open Ad Hoc Teamwork with Cooperative Game Theory ICML 2024

OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images IJCAI 2024

ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces IJCAI 2024

Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of Speech-Silence and Word-Punctuation INTERSPEECH 2024

OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024

Cauchy Graphical Models PGM 2024

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping NIPS 2023

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition NIPS 2023

INT2: Interactive Trajectory Prediction at Intersections ICCV 2023

SparseMAE: Sparse Training Meets Masked Autoencoders ICCV 2023

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus ICLR 2023

Understanding Embodied Reference with Touch-Line Transformer ICLR 2023

3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation ICLR 2023

Enhanced Training Methods for Multiple Languages ACL 2023

Enhancing Event Causality Identification with Event Causal Label and Event Pair Interaction Graph ACL 2023

Structure-Discourse Hierarchical Graph for Conditional Question Answering on Long Documents ACL 2023

CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction ACL 2023

PLay: Parametrically Conditioned Layout Generation using Latent Diffusion ICML 2023

Cooperative Open-ended Learning Framework for Zero-Shot Coordination ICML 2023

A Cross-Modality Context Fusion and Semantic Refinement Network for Emotion Recognition in Conversation ACL 2023

Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation ACL 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling ACL 2023

Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams AAAI 2023

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse IJCAI 2023

A Dual Attention-based Modality-Collaborative Fusion Network for Emotion Recognition INTERSPEECH 2023

Cross-utterance Conditioned Coherent Speech Editing INTERSPEECH 2023

Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023

Split, count, and share: a differentially private set intersection cardinality estimation protocol UAI 2023

Contrastive learning for supervised graph matching UAI 2023

Hierarchical Enhancement Framework for Aspect-based Argument Mining EMNLP 2023

R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context EMNLP 2023

Multi-Granularity Information Interaction Framework for Incomplete Utterance Rewriting EMNLP 2023

A Zero-Shot Language Agent for Computer Control with Structured Reflection EMNLP 2023

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs EMNLP 2023

T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NIPS 2023

Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech ACL 2022

Deep and Flexible Graph Neural Architecture Search ICML 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning ICML 2022

MODE: Multi-View Omnidirectional Depth Estimation with 360° Cameras ECCV 2022

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NIPS 2022

DivBO: Diversity-aware CASH for Ensemble Learning NIPS 2022

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark ECCV 2022

Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging ACL 2022

Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes IJCAI 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source IJCAI 2022

Homography Decomposition Networks for Planar Object Tracking AAAI 2022

Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision NAACL 2022

Non-rigid Point Cloud Registration with Neural Deformation Pyramid NIPS 2022

Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes CVPR 2022

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs EMNLP 2022

Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection EMNLP 2022

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design NIPS 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NIPS 2022

Partially Observed Exchangeable Modeling ICML 2021

Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy EMNLP 2021

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation IJCAI 2021

Active Feature Acquisition with Generative Surrogate Models ICML 2021

Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China AAAI 2021

Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation NIPS 2021

Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding NIPS 2021

OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations CVPR 2021

Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning CVPR 2021

Iterative Connecting Probability Estimation for Networks NIPS 2021

Node Dependent Local Smoothing for Scalable Graph Learning NIPS 2021

Spatial Assembly Networks for Image Representation Learning CVPR 2021

4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface ICCV 2021

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021

Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss ECCV 2020

Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020

A Forest from the Trees: Generation through Neighborhoods AAAI 2020

Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements EMNLP 2020

Multi-Stage Influence Function NIPS 2020

Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization EMNLP 2020

Exchangeable Neural ODE for Set Modeling NIPS 2020

Meta-Neighborhoods NIPS 2020

Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation AAAI 2020

Exchangeable Generative Models with Flow Scans AAAI 2020

Multi-Point Semantic Representation for Intent Classification AAAI 2020

Defense Through Diverse Directions ICML 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction AAAI 2020

Efficient Automatic CASH via Rising Bandits AAAI 2020

Learning to Optimize Non-Rigid Tracking CVPR 2020

End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation ECCV 2020

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention COLING 2020

ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020

Mapping Natural Language Instructions to Mobile UI Action Sequences ACL 2020

SADIH: Semantic-Aware DIscrete Hashing AAAI 2019

Robustness Verification of Tree-based Models NIPS 2019

You Look Twice: GaterNet for Dynamic Filter Selection in CNNs CVPR 2019

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NIPS 2019

Area Attention ICML 2019

Event Detection without Triggers NAACL 2019

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks ICLR 2019

Robust Estimation of Similarity Transformation for Visual Object Tracking AAAI 2019

Guess Me if You Can: Acronym Disambiguation for Enterprises ACL 2018

Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation IJCAI 2018

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NIPS 2018

A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition IJCAI 2018

CFNN: Correlation Filter Neural Network for Visual Object Tracking IJCAI 2017

Hashtag Recommendation with Topical Attention-Based LSTM COLING 2016

Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches CVPR 2015

Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge EMNLP 2015

3D Model-Based Continuous Emotion Recognition CVPR 2015

Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries ICCV 2015

Automatic Name-Face Alignment to Enable Cross-Media News Retrieval IJCAI 2013