Lun Wang
12 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Grand Slam
🧬
Topic Evolution
👥
Mega-Team · Squad
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
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Trend Setter
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Keyword Collector
(72)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(6)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Computer Science
(3)
Deep Learning
(3)
Security & Privacy
(3)
Learning Paradigms · Artificial Intelligence
(3)
Differential Privacy
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
differential privacy
(4)
gradient clipping
(2)
multi-agent system
(2)
federated learning
(2)
automatic speech recognition
(1)
adversarial robustness
(1)
adversarial learning
(1)
robust statistics
(1)
reinforcement learning
(1)
distributed learning
(1)
speech synthesis
(1)
loss landscape
(1)
statistical testing
(1)
resource allocation
(1)
distribution shift
(1)
sensitivity analysis
(1)
secure aggregation
(1)
diagnostic reasoning
(1)
conditional independence
(1)
transfer learning
(1)
Papers
Attacker’s Noise Can Manipulate Your Audio-based LLM in the Real World
EACL 2026
Heterogeneity at Hyperscale: Characterization and Scheduling of Large Production AI Clusters at Alibaba (Operational Systems)
OSDI 2026
RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment
AAAI 2026
Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
ICLR 2025
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
NeurIPS 2024
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping
Interspeech 2024
Byzantine-Robust Federated Learning with Optimal Statistical Rates
AISTATS 2023
Secure Federated Correlation Test and Entropy Estimation
ICML 2023
Why Is Public Pretraining Necessary for Private Model Training?
ICML 2023
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
ICLR 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
IJCAI 2021
Towards practical differentially private causal graph discovery
NeurIPS 2020