Yiming Zhang
55 papers · 2015–2026 · 15 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Academic Marathon (11) π Interdisciplinary Bridge π Conference Polyglot (15) π§ Keyword Pioneer π Cross-Pollinator (4)
π
Cross-Pollinator
(4)
π
Renaissance Researcher
(11)
πΊοΈ
Taxonomy Completionist
(97)
π
Keyword Champion
π
Grand Slam
π§¬
Topic Evolution
β
The Questioner
ποΈ
Keyword Collector
(239)
π
Century Club
(49)
π
Trend Setter
π₯
Unstoppable
(9)
β‘
Prolific Year
(6)
Conferences
EMNLP (10)
ACL (8)
AAAI (5)
ICCV (5)
ICLR (5)
IJCAI (5)
NIPS (5)
WACV (3)
CVPR (2)
NSDI (2)
ACML (1)
AISTATS (1)
COLING (1)
EACL (1)
ICML (1)
Top co-authors
Keywords
large language model
(11)
transfer learning
(3)
retrieval-augmented generation
(3)
heterogeneous information network
(3)
diffusion model
(3)
self-supervised learning
(3)
knowledge distillation
(3)
contrastive learning
(2)
multi-task learning
(2)
visual grounding
(2)
semantic segmentation
(2)
few-shot learning
(2)
representation learning
(2)
embodied ai
(2)
chain-of-thought reasoning
(2)
domain adaptation
(2)
reinforcement learning
(2)
text classification
(2)
zero-shot learning
(2)
in-context learning
(2)
Papers
Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination
ACL 2026
S2O: Static to Openable Enhancement for Articulated 3D Objects
WACV 2026
ST-LLM: Spatial Transcriptomics Embedding with Large Language Models
AAAI 2026
SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction
AAAI 2026
Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model
AAAI 2026
The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs
ACL 2026
RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images
AAAI 2026
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
AISTATS 2025
Vegeta: Enabling Parallel Smart Contract Execution in Leaderless Blockchains
NSDI 2025
Persistent Pre-training Poisoning of LLMs
ICLR 2025
Human-Aligned Chess With a Bit of Search
ICLR 2025
Duoduo CLIP: Efficient 3D Understanding with Multi-View Images
ICLR 2025
Backtracking Improves Generation Safety
ICLR 2025
AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models
IJCAI 2025
FRAME: Feedback-Refined Agent Methodology for Enhancing Medical Research Insights
ACL 2025
CIE: Controlling Language Model Text Generations Using Continuous Signals
EMNLP 2025
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity
EMNLP 2025
RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering
EMNLP 2025
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering
EMNLP 2025
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data
AAAI 2025
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
ICCV 2025
VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior
ICCV 2025
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding
ICCV 2025
RANKCLIP: Ranking-Consistent Language-Image Pretraining
ICCV 2025
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models
COLING 2024
PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
CVPR 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
ACL 2024
DORY: Deliberative Prompt Recovery for LLM
ACL 2024
Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation With Meta-Learning
WACV 2024
EFSA: Towards Event-Level Financial Sentiment Analysis
ACL 2024
TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval
WACV 2024
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection
EMNLP 2024
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
EMNLP 2024
Revisiting the Knowledge Injection Frameworks
EMNLP 2023
Emergent Communication in Interactive Sketch Question Answering
NIPS 2023
FLamE: Few-shot Learning from Natural Language Explanations
ACL 2023
Learning to Ignore Adversarial Attacks
EACL 2023
BiasX: βThinking Slowβ in Toxic Content Moderation with Explanations of Implied Social Biases
EMNLP 2023
Multi3DRefer: Grounding Text Description to Multiple 3D Objects
ICCV 2023
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis
ACL 2022
Temporal aware Multi-Interest Graph Neural Network
for Session-based Recommendation
ACML 2022
Active Example Selection for In-Context Learning
EMNLP 2022
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
NIPS 2022
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
NIPS 2022
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
NIPS 2021
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
IJCAI 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
ICML 2021
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
CVPR 2020
First Order Constrained Optimization in Policy Space
NIPS 2020
Argot: Generating Adversarial Readable Chinese Texts
IJCAI 2020
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow
IJCAI 2019
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension
EMNLP 2019
Supervised Policy Update for Deep Reinforcement Learning
ICLR 2019
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network
IJCAI 2018
CubicRing: Enabling One-Hop Failure Detection and Recovery for Distributed In-Memory Storage Systems
NSDI 2015