Jiefeng Chen

Central South University — China

Computer Science · Physical Sciences

22h-index2.0kcitations75works3.52yr avg
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Research Topics

Adversarial Robustness in Machine Learning(27), Anomaly Detection Techniques and Applications(18), Mercury impact and mitigation studies(9), Thermochemical Biomass Conversion Processes(8), Gas Sensing Nanomaterials and Sensors(5)

Publications75 total

Experimental Study on the Structural Dynamic Response of an Offshore Electrical Platform During Mating Process in Float-Over Installation
Journal of Marine Science and Engineering·2025Open Access
Estimating cosmological parameters and reconstructing Hubble constant with artificial neural networks: a test with covariance matrix and mock H(z)
The European Physical Journal C·2025Open Access
Mechanistic insights into HgCl2 adsorption over zinc sulfide: The role of inherent sulfur and newly-formed zinc chloride
Journal of environmental chemical engineering·2025· 1 cited
Mechanistic insights into mercury removal by FeCl3-modified ZnS: Role of oxidation and sulfur activation
Chemical Engineering Journal·2025· 1 cited
A Method for Dynamic Response Analysis of Offshore Substation Platform Foundations Based on Modal Truncation
Journal of Marine Science and Engineering·2025Open Access
Machine Learning-Assisted Prediction and Exploration of the Homogeneous Oxidation of Mercury in Coal Combustion Flue Gas
Environmental Science & Technology·2025· 6 cited
Mechanistic Insights into Mercury Removal by Fecl3-Modified Zns: Role of Oxidation and Sulfur Activation
SSRN Electronic Journal·2025Open Access
Metal sulfide functionalized activated carbon for efficient capture of gaseous iodine
Chemical Engineering Science·2024· 15 cited
Advances in single-atom catalysts/sorbents for elemental mercury removal from flue gas
Separation and Purification Technology·2024· 7 cited
H2S induced in-situ formation of recyclable metal sulfide-based sorbent for elemental mercury sequestration in natural gas
Chemical Engineering Journal·2024· 5 cited
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
arXiv (Cornell University)·2023· 1 citedOpen Access
Universal pathway towards metal sulfides decorated 3D porous Ti3C2Tx MXene aerogel for vapor-phase mercury removal
Chemical Engineering Journal·2023· 23 cited
Copper sulfide nanosheet arrays constructed on copper skeleton for efficient elemental mercury immobilization from flue gas
Separation and Purification Technology·2023· 10 cited
Copper selenide anchored on Ti3C2 MXene via Lewis acidic etching route for efficient removal of gaseous elemental mercury
Fuel·2023· 12 cited
Mimicking evasive behavior in wavelength‐dependent reconfigurable phototransistors with ultralow power consumption
SmartMat·2023· 40 citedOpen Access
Coplanar Conformational Structure of π‐Conjugated Polymers for Optoelectronic Applications
Advanced Materials·2023· 55 cited
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
arXiv (Cornell University)·2023Open Access
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
arXiv (Cornell University)·2023Open Access
Is forgetting less a good inductive bias for forward transfer?
arXiv (Cornell University)·2023· 1 citedOpen Access
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
2023· 11 citedOpen Access
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Frequent Co-authors

Somesh Jha(18), Lijian Leng(16), Xi Wu(14), Yingyu Liang(11), Songqi Leng(9), Hailong Li(9), Wenguang Zhou(9), Zequn Yang(7), Haoyi Peng(6), Wenqi Qu(6), Yixuan Li(5), Meicun Yao(5), Hongxiao Zu(5), Tonggui Liu(4), Jianping Yang(4), Mengping Liu(4), Zuanguang Chen(4), Huajun Huang(3), Jie Chen(3), Weijin Zhang(3)