Benben Jiang
Assistant Professor
Works on AI for energy, including Bayesian optimization and data-driven fault monitoring for battery management, and large-model methods.
Benben Jiang's lab at Tsinghua works on physics, climate & scientific computing and learning theory & optimization. 11 papers since 2023, 1 at top venues, mostly ACC and Expert Systems with Applications. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 9%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 1
- 3 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: ACC, Expert Systems with Applications, Information Sciences, NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization9 papers
- bayesian optimization3 papers
- battery1 paper
- Physics, climate & scientific computing0 papers
- fault0 papers
Paper list
From DBLP.
20261 paper
20255 papers
- Briefings Bioinform.Advancing genetic engineering with active learning: theory, implementations and potential opportunities (opens in a new tab)
- IEEE Trans. Ind. InformaticsAttention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations (opens in a new tab)
- NeurIPS (T1)FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network (opens in a new tab)
- Eng. Appl. Artif. Intell.Parallel Bayesian optimization using satisficing Thompson sampling for fast charging design of lithium-ion batteries (opens in a new tab)
20243 papers
- Expert Systems with ApplicationsAdaptive boosting with fairness-aware reweighting technique for fair classification (opens in a new tab)
- IEEE Trans. Ind. InformaticsAdaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries (opens in a new tab)
- CASEDeep Reinforcement Learning-Based Symbolic Regression for PDE Discovery Using Spatio-Temporal Rewards (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
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