Research
Problems I keep returning to
My research focuses on Trustworthy AI, Human-Centered AI, and DeFi & Blockchain, with a recent emphasis on safety and privacy for embodied AI systems.
Jailbreak robustness, AI-powered search safety, privacy risk, covert content, and reliable evaluation for frontier AI systems.
Human-Centered AILLM evaluation, policy simulation, cognitive assessment, visual assistance, human-agent applications, and applied machine learning.
DeFi & BlockchainSecure and efficient decentralized protocols, smart contract analysis, gas optimization, payment channels, and cross-chain financial primitives.
* denotes equal contribution (listed alphabetically). † denotes corresponding author. A full list is also available on Google Scholar.
Selected Papers
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
TxSum: User-Centered Ethereum Transaction Understanding with Micro-Level Semantic Grounding
Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search
GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts
Cross-Chain Options: A Bridgeless, Universal, and Efficient Approach
Prompt-based Contrastive Learning to Combat the COVID-19 Infodemic
Combating the COVID-19 Infodemic Using Prompt-Based Curriculum Learning
Topic 01 · 9 papers
Trustworthy AI
Jailbreak robustness, AI-powered search safety, privacy risk, covert content, and reliable evaluation for frontier AI systems.
What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media
Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network
On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
Source Coverage and Citation Bias in LLM-based vs. Traditional Search Engines
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards
CHASM: Unveiling Covert Advertisements on Chinese Social Media
Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Topic 02 · 10 papers
Human-Centered AI
LLM evaluation, policy simulation, cognitive assessment, visual assistance, human-agent applications, and applied machine learning.
"What Did It Actually Do?": Understanding Risk Awareness and Traceability for Computer-Use Agents
GPLab: A Generative Agent-Based Framework for Policy Simulation and Evaluation
NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments
Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications
Enhanced Structured Lasso Pruning with Class-wise Information
Prompt-based Contrastive Learning to Combat the COVID-19 Infodemic
Combating the COVID-19 Infodemic Using Prompt-Based Curriculum Learning
Topic 03 · 4 papers
DeFi & Blockchain
Secure and efficient decentralized protocols, smart contract analysis, gas optimization, payment channels, and cross-chain financial primitives.