Bing Zhang

Bio

Bing Zhang is a research scientist. Her research interests include Data Science, Stochastic Optimization, Deep Learning, NLP, LLM, and Prompt Engineering.

Publications

Challenges and Remedies of Domain-Specific Classifiers as LLM Guardrails: Self-Harm as a Case Study
- - Bing Zhang
  - Guang-Jie Ren
- 2025
- NAACL 2025
Enterprise Benchmarks for Large Language Model Evaluation
- - Bing Zhang
  - Mikio Takeuchi
  - et al.
- 2025
- NAACL 2025
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2025
- AAAI 2025
Adaptive PII Mitigation Framework for Large Language Models
- - Shubhi Asthana
  - Ruchi Mahindru
  - et al.
- 2025
- AAAI 2025
Large Language Model Evaluation on Financial Benchmarks
- - Bing Zhang
  - Mikio Takeuchi
  - et al.
- 2024
- ICAIF 2024
Enterprise Benchmarks for Large Language Model Evaluation
- - Bing Zhang
  - Mikio Takeuchi
  - et al.
- 2024
- arXiv
IDMU: Impact Driven Machine Unlearning
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2023
- Big Data 2023
IDMU: Impact Driven Machine Unlearning
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2023
- NeurIPS 2023
Transformation of Order Management Service
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2022
- INFORMS 2022
End-to-end Simultaneous Prediction and Optimization Framework
- - Bing Zhang
  - Yuya Jeremy Ong
  - et al.
- 2022
- INFORMS 2022

Patents

- 28 Aug 2023
- US
- 11741405
Ticket-agent Matching And Agent Skillset Development
- 22 Aug 2022
- US
- 11423051
Sensor Signal Prediction At Unreported Time Periods

Top collaborators

Shubhi Asthana

Research Senior Software Engineer - AI & ML solutions

Ruchi Mahindru

Distinguished Engineer - IT Automation Research, IBM Master Inventor

Ryo Kawahara

Researcher

Kate Soule

Director, Technical Product Management, Granite