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Ji Cheng 0001
Person information
- affiliation (since 2023): City University of Hong Kong (CityUHK), Department of Computer Science, Kowloon Tong, Hong Kong
- affiliation: City University of Hong Kong Shenzhen (CUHK-SZ), Shenzhen, China
- affiliation (former 2014-2021): Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
Other persons with the same name
- Ji Cheng — disambiguation page
- Ji Cheng 0002
— Hong Kong University of Science and Technology (HKUST), Department of Computer Science and Engineering, Sai Kung, Hong Kong
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2020 – today
- 2026
[c9]Ji Cheng
, Song Lai
, Shunyu Yao
, Bo Xue
:
Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies. AAAI 2026: 36636-36644
[c8]Ji Cheng
, Bo Xue
, Qingfu Zhang:
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization. AAAI 2026: 36829-36837- 2025
[j2]Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Lijun Zhang, Qingfu Zhang:
Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound. J. Mach. Learn. Res. 26: 223:1-223:56 (2025)
[c7]Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang:
Multi-objective Linear Reinforcement Learning with Lexicographic Rewards. ICML 2025
[c6]Ji Cheng
, Bo Xue
, Chengyu Lu
, Ziqiang Cui
, Qingfu Zhang:
Multi-Objective Neural Bandits with Random Scalarization. IJCAI 2025: 4914-4922
[i5]Ji Cheng, Bo Xue, Qingfu Zhang:
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR abs/2511.05815 (2025)- 2024
[c5]Ji Cheng
, Bo Xue
, Jiaxiang Yi, Qingfu Zhang:
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. AAAI 2024: 11489-11497
[c4]Bo Xue
, Ji Cheng
, Fei Liu
, Yimu Wang, Qingfu Zhang:
Multiobjective Lipschitz Bandits under Lexicographic Ordering. AAAI 2024: 16238-16246
[c3]Ziqiang Cui
, Haolun Wu
, Bowei He
, Ji Cheng
, Chen Ma
:
Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. CIKM 2024: 404-414
[c2]Dake Bu
, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. ICML 2024: 4642-4695
[c1]Yiming Yao
, Fei Liu
, Ji Cheng
, Qingfu Zhang
:
Evolve Cost-Aware Acquisition Functions Using Large Language Models. PPSN (2) 2024: 374-390
[i4]Yiming Yao
, Fei Liu, Ji Cheng, Qingfu Zhang:
Evolve Cost-aware Acquisition Functions Using Large Language Models. CoRR abs/2404.16906 (2024)
[i3]Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma
:
Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR abs/2405.09369 (2024)
[i2]Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. CoRR abs/2406.03944 (2024)
[i1]Jiaxiang Yi, Ji Cheng, Miguel A. Bessa:
Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models. CoRR abs/2407.15110 (2024)- 2021
[j1]Ji Cheng, Ping Jiang, Qi Zhou, Jiexiang Hu, Leshi Shu:
A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems. Appl. Soft Comput. 106: 107276 (2021)
Coauthor Index

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