Jie M. Zhang

8 papers · 2024–2026 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18)

Venues

ACL (3) NeurIPS (3) AAAI (2)

Top co-authors

Dong Huang (4) Heming Cui (2) Zeyu Sun (2) Yun Ma (2) Zhenpeng Chen (2) Yuhao Qing (2) Dan Hao (1) Kaibo Liu (1) Qingyuan Liang (1) Yudong Han (1)

Research topics

Artificial Intelligence (6) Core AI (6) Computer Science (3) Deep Learning (3) Machine Learning (3) Natural Language Processing (3) Applications (3) Models (3) Application Areas (2) Generation (2) Learning Types (2) Reinforcement Learning (1) Methods (1) Resources & Methods (1)

Keywords

large language model (5) code generation (4) code optimization (2) execution time (2) memory usage (2) execution efficiency (2) code efficiency (2) execution profile feedback (1) iterative code revision (1) efficiency improvement (1) counterfactual fairness (1) ai agent (1) bug detection (1) demographic parity (1) human-ai interaction (1) code translation (1) test case generation (1) personality modeling (1) data science (1) python programming (1)

Papers

DSCodeBench: A Realistic Benchmark for Data Science Code Generation AAAI 2026 Fairness Aware Reinforcement Learning via Proximal Policy Optimization AAAI 2026 TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation ACL 2026 LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs ACL 2025 LLMscape NeurIPS 2025 Personality-Guided Code Generation Using Large Language Models ACL 2025 EffiBench: Benchmarking the Efficiency of Automatically Generated Code NeurIPS 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NeurIPS 2024