Yiming Chen
28 papers · 2021–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (5) π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (7) π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(58)
π
Grand Slam
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(119)
π₯
Unstoppable
(5)
π
Century Club
(24)
Conferences
ACL (6)
EMNLP (5)
ICCV (4)
NIPS (4)
AAAI (3)
ICML (2)
CVPR (1)
ECCV (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(6)
dialogue evaluation
(3)
decentralized optimization
(2)
graph convolutional network
(2)
adversarial attack
(2)
communication efficiency
(2)
convergence rate
(2)
distributed optimization
(2)
deep neural network
(2)
semi-supervised learning
(2)
stochastic optimization
(2)
dialogue coherence
(2)
contrastive learning
(2)
non-convex optimization
(2)
multimodal learning
(2)
model security
(1)
few-shot learning
(1)
neural network training
(1)
3d reconstruction
(1)
temporal reasoning
(1)
Papers
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
ACL 2026
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
ACL 2026
SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation
AAAI 2026
NaturalSloth: Revisiting Denial-of-Service Attacks on Large Language Models
ACL 2026
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models
ICCV 2025
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
ICLR 2025
Clink! Chop! Thud! - Learning Object Sounds from Real-World Interactions
ICCV 2025
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
ICML 2025
Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models
EMNLP 2024
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
NIPS 2024
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense
AAAI 2024
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
AAAI 2024
Unveiling the Achillesβ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models
ACL 2024
Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients
ECCV 2024
Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution
CVPR 2023
Dynamic Transformers Provide a False Sense of Efficiency
ACL 2023
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
EMNLP 2022
Analyzing and Evaluating Faithfulness in Dialogue Summarization
EMNLP 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
NIPS 2022
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
NIPS 2022
DynaEval: Unifying Turn and Dialogue Level Evaluation
ACL 2021
Accelerating Gossip SGD with Periodic Global Averaging
ICML 2021
Bias Loss for Mobile Neural Networks
ICCV 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
Revisiting Self-training for Few-shot Learning of Language Model
EMNLP 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training
NIPS 2021
DynaEval: Unifying Turn and Dialogue Level Evaluation
IJCNLP 2021