← Authors

Yuchen Zhang

52 papers · 2012–2026 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (19) 🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion πŸ”₯ Unstoppable (8) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (61) ❓ The Questioner (2) πŸ’Ž Century Club (50) πŸ“ˆ Trend Setter

Conferences

ICML (10) EMNLP (8) NIPS (8) ACL (5) JMLR (5) COLT (3) AISTATS (2) CONLL (2) IJCNLP (2) AAAI (1) AACL (1) CVPR (1) EACL (1) ECCV (1) MICCAI (1) NAACL (1)

Top co-authors

Michael I. Jordan (7) Martin J. Wainwright (6) Nianwen Xue (4) Bin Chen (4) Martin Wainwright (4) Shuo Sun (4) Hang Li (4) Jian Su (4) Percy Liang (4) Yuze Gao (4)

Keywords

distributed learning (3) expectation maximization (3) lower bound (3) neural network (3) multimodal learning (3) convex optimization (3) distributed optimization (3) minimax risk (3) large language model (3) graph neural network (3) empirical risk minimization (3) semantic parsing (3) label aggregation (2) kernel ridge regression (2) divide and conquer (2) l1 regularization (2) statistical estimation (2) communication-efficient algorithms (2) reinforcement learning (2) stochastic optimization (2)

Papers

Language Family Matters: Evaluating SpeechLLMs Across Linguistic Boundaries EACL 2026
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference AAAI 2025
Inverse Flow and Consistency Models ICML 2025
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development MICCAI 2025
High-Quality Complex Text-to-SQL Data Generation through Chain-of-Verification IJCNLP 2025
High-Quality Complex Text-to-SQL Data Generation through Chain-of-Verification AACL 2025
PaSa: An LLM Agent for Comprehensive Academic Paper Search ACL 2025
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NIPS 2024
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality NIPS 2024
Make Pixels Dance: High-Dynamic Video Generation CVPR 2024
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering ECCV 2024
On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024
Boximator: Generating Rich and Controllable Motions for Video Synthesis ICML 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL 2024
An Exploratory Study on Model Compression for Text-to-SQL ACL 2023
Unsupervised Grammatical Error Correction Rivaling Supervised Methods EMNLP 2023
ROBBIE: Robust Bias Evaluation of Large Generative Language Models EMNLP 2023
Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison EMNLP 2023
Mixed-domain Language Modeling for Processing Long Legal Documents EMNLP 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023
Rethinking Masked Language Modeling for Chinese Spelling Correction ACL 2023
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork NIPS 2023
Value-Agnostic Conversational Semantic Parsing ACL 2021
Value-Agnostic Conversational Semantic Parsing IJCNLP 2021
Bridging Theory and Algorithm for Domain Adaptation ICML 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019
Neural Ranking Models for Temporal Dependency Structure Parsing EMNLP 2018
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017
Convexified Convolutional Neural Networks ICML 2017
On the Learnability of Fully-Connected Neural Networks AISTATS 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017
On Bayes Risk Lower Bounds JMLR 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NIPS 2016
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds ICML 2015
Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014
Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information EMNLP 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
Communication-Efficient Algorithms for Statistical Optimization JMLR 2013
Information-theoretic lower bounds for distributed statistical estimation with communication constraints NIPS 2013
Towards Robust Linguistic Analysis using OntoNotes CONLL 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes CONLL 2012