← Authors

Yifan Zhang

116 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (12) πŸ‘₯ Mega-Team (20) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (3) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (434) ❓ The Questioner (3) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (110) πŸ”₯ Unstoppable (11)

Conferences

AAAI (17) ICML (14) CVPR (13) NIPS (13) ACL (9) EMNLP (9) ICLR (9) IJCAI (9) ECCV (8) ICCV (8) NAACL (3) COLING (1) EACL (1) IJCNLP (1) INTERSPEECH (1)

Top co-authors

Jian Cheng (16) Hanqing Lu (11) Shuaicheng Niu (8) Mingkui Tan (7) Jiashi Feng (6) Liang Wang (5) Bo Pang (5) Hongbin Lin (5) Qingsong Wen (5) Zhang Zhang (5)

Research topics

Applications (1)

Keywords

large language model (11) contrastive learning (6) model compression (5) diffusion model (4) action recognition (4) retrieval-augmented generation (4) knowledge distillation (4) object detection (4) semantic segmentation (4) multimodal learning (4) mathematical reasoning (3) generative model (3) 3d object detection (3) reinforcement learning (3) representation learning (3) domain adaptation (3) autonomous driving (3) transformer architecture (3) data augmentation (3) video understanding (3)

Papers

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search AAAI 2026
Explicit Temporal-Semantic Modeling for Dense Video Captioning via Context-Aware Cross-Modal Interaction AAAI 2026
AirWino: Optimized Winograd Convolution for Accelerating CNN Inference on ARMv8 Processors AAAI 2026
MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance AAAI 2026
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation AAAI 2026
DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving AAAI 2026
CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models NAACL 2025
Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation IJCAI 2025
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting IJCAI 2025
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection IJCAI 2025
Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods ICML 2025
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment ICML 2025
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment ICML 2025
e-GAI: e-value-based Generalized $Ξ±$-Investing for Online False Discovery Rate Control ICML 2025
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation AAAI 2025
Augmenting Math Word Problems via Iterative Question Composing AAAI 2025
A Comprehensive Evaluation on Event Reasoning of Large Language Models AAAI 2025
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction AAAI 2025
Efficient Image Similarity Search with Quadtrees (Student Abstract) AAAI 2025
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming ACL 2025
Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking ACL 2025
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models ACL 2025
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? ACL 2025
V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me ACL 2025
One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue ACL 2025
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts ACL 2025
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting ICLR 2025
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR 2025
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks ICLR 2025
Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation ICCV 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition ICCV 2025
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes ICCV 2025
Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation EMNLP 2025
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025
SPO: Self Preference Optimization with Self Regularization EMNLP 2025
Chatbot To Help Patients Understand Their Health EMNLP 2025
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations EMNLP 2025
TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression CVPR 2025
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation CVPR 2025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models EMNLP 2025
Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval EMNLP 2025
Information Flow in Self-Supervised Learning ICML 2024
Generalization Analysis for Label-Specific Representation Learning NIPS 2024
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models NIPS 2024
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset AAAI 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning AAAI 2024
MEEL: Multi-Modal Event Evolution Learning ACL 2024
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens CVPR 2024
Implicit Concept Removal of Diffusion Models ECCV 2024
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection ECCV 2024
One-Shot Diffusion Mimicker for Handwritten Text Generation ECCV 2024
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024
Contrastive Learning is Spectral Clustering on Similarity Graph ICLR 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024
HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming ICML 2024
Matrix Information Theory for Self-Supervised Learning ICML 2024
Generalization Analysis for Multi-Label Learning ICML 2024
A Study on the Calibration of In-context Learning NAACL 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024
Nearly-tight Bounds for Deep Kernel Learning ICML 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models NIPS 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling NIPS 2023
Expanding Small-Scale Datasets with Guided Imagination NIPS 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing ICLR 2023
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning ICLR 2023
Towards Stable Test-time Adaptation in Dynamic Wild World ICLR 2023
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection NIPS 2023
Disentangling Writer and Character Styles for Handwriting Generation CVPR 2023
Asynchronous Event Processing with Local-Shift Graph Convolutional Network AAAI 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation ICML 2023
Trade-off Between Efficiency and Consistency for Removal-based Explanations NIPS 2023
UnSE: Unsupervised Speech Enhancement Using Optimal Transport INTERSPEECH 2023
Dataset Quantization ICCV 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection ICCV 2023
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient NIPS 2022
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NIPS 2022
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NIPS 2022
Semantic Segmentation by Early Region Proxy CVPR 2022
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation ECCV 2022
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping ECCV 2022
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds CVPR 2022
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning AAAI 2022
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing ECCV 2022
Efficient Test-Time Model Adaptation without Forgetting ICML 2022
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation IJCAI 2021
StablePose: Learning 6D Object Poses From Geometrically Stable Patches CVPR 2021
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition ICCV 2021
AdaXpert: Adapting Neural Architecture for Growing Data ICML 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NIPS 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NIPS 2021
Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020
Prta: A System to Support the Analysis of Propaganda Techniques in the News ACL 2020
Further Understanding Videos through Adverbs: A New Video Task AAAI 2020
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model CVPR 2020
Skeleton-Based Action Recognition With Shift Graph Convolutional Network CVPR 2020
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition ECCV 2020
Interpretable Complex-Valued Neural Networks for Privacy Protection ICLR 2020
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition CVPR 2019
Skeleton-Based Action Recognition With Directed Graph Neural Networks CVPR 2019
Tanbih: Get To Know What You Are Reading IJCNLP 2019
Tanbih: Get To Know What You Are Reading EMNLP 2019
Multi-marginal Wasserstein GAN NIPS 2019
Two-Step Quantization for Low-Bit Neural Networks CVPR 2018
Training Binary Weight Networks via Semi-Binary Decomposition ECCV 2018
Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks With Spatiotemporal Transformer Modules ICCV 2017
Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control IJCAI 2017
QCRI Live Speech Translation System EACL 2017
Action Recognition with Joints-Pooled 3D Deep Convolutional Descriptors IJCAI 2016
Hierarchical Model Predictive Control for Multi-Robot Navigation IJCAI 2016
Leveraging Multiple Domains for Sentiment Classification COLING 2016
Face Clustering in Videos with Proportion Prior IJCAI 2015
Event Detection in Complex Scenes Using Interval Temporal Constraints ICCV 2013
Constrained Clustering and Its Application to Face Clustering in Videos CVPR 2013