| 2026 | AAAI | Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers. | Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang |
| 2025 | AAAI | Design Principle Transfer in Neural Architecture Search via Large Language Models. | Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan |
| 2025 | CEC | A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. | Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan |
| 2025 | ICLR | OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. | Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang |
| 2025 | ICML | Towards Robustness and Explainability of Automatic Algorithm Selection. | Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, KC Tan |
| 2025 | WSC | Exact Importance Sampling for a Linear Hawkes Process. | Liang Feng, Alex Shkolnik |
| 2024 | CEC | A Review on Evolutionary Multiform Transfer Optimization. | Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan |
| 2024 | CEC | Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. | Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan |
| 2024 | EMNLP | AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. | Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang |
| 2024 | IJCNN | Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning. | Yang Li, Sihan Zhou, Yaqing Hou, Liran Zhou, Hongwei Ge, Liang Feng, Siyu Wang |
| 2024 | IJCNN | House Layout Generation via Diffusion Model with Relative Room Area Ranking. | Junbin Xiang, Boyu Hou, Xuefeng Chen, Hongtuo Qi, Liang Feng, Jiepeng Liu, Xianneng Li |
| 2023 | CEC | Surrogate-Assisted Morphology Optimization by Genetic Algorithms. | Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng |
| 2023 | ICASSP | Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation. | Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang |
| 2023 | ICASSP | Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning. | Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang |
| 2023 | IJCNN | Two-stage Neural Architecture Optimization with Separated Training and Search. | Longze He, Boyu Hou, Junwei Dong, Liang Feng |
| 2022 | CEC | Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. | Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan |
| 2022 | ICDE | Constrained Path Search with Submodular Function Maximization. | Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng |
| 2022 | IJCAI | Budgeted Sequence Submodular Maximization. | Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou |
| 2021 | ACML | Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic. | Gengzhi Zhang, Liang Feng, Yaqing Hou |
| 2021 | CEC | EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. | Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong |
| 2021 | EMO | A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking. | Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang, Xiaopeng Wei |
| 2021 | GLOBECOM | Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing. | Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo |
| 2021 | ICONIP | Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis. | Boyu Hou, Junwei Dong, Liang Feng, Minghui Qiu |
| 2021 | ICONIP | Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning. | Pei Yao, Liang Feng |
| 2021 | KDD | FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. | Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso |
| 2021 | SMC | Evolutionary Multitasking via Artificial Neural Networks. | Xia Chen, Yuxiao Huang, Wei Zhou, Liang Feng |
| 2020 | CEC | Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. | Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan |
| 2020 | CEC | Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming. | Ruihua Zeng, Zhixing Huang, Yongliang Chen, Jinghui Zhong, Liang Feng |
| 2020 | CEC | Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space. | Wei Zhou, Liang Feng, Zexuan Zhu, Kai Liu, Chao Chen, Zhou Wu |
| 2020 | FPL | FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications. | Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen |
| 2020 | IJCNN | A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. | Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu |
| 2020 | INDIN | Point Cloud Simplification based on Decomposed Graph Filtering. | Yan Zeng, Zhou Wu, Jiepeng Liu, Liang Feng |
| 2020 | SMC | A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems. | Lingyu Huang, Liang Feng, Handing Wang, Yaqing Hou, Kai Liu, Chao Chen |
| 2019 | CEC | A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. | Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu |
| 2019 | CEC | Improving Reinforcement FALCON Learning in Complex Environment with Much Delayed Evaluation via Memetic Automaton. | Gengzhi Zhang, Liang Feng, Yuling Xie, Zhou Wu, Lin Chen |
| 2019 | CEC | A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer. | Jinghui Zhong, Linhao Li, Weili Liu, Liang Feng, Xiao-Min Hu |
| 2019 | CEC | Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution. | Lei Zhou, Liang Feng, Kai Liu, Chao Chen, Shaojiang Deng, Tao Xiang, Siwei Jiang |
| 2019 | DAC | LAMA: Link-Aware Hybrid Management for Memory Accesses in Emerging CPU-FPGA Platforms. | Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang |
| 2019 | FPGA | A Hybrid Data-Consistent Framework for Link-Aware AccessManagement in Emerging CPU-FPGA Platforms. | Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang |
| 2019 | GLOBECOM | Dual-Band Wi-Fi Based Indoor Localization via Stacked Denosing Autoencoder. | Hao Zhang, Kai Liu, Qingxia Shang, Liang Feng, Chao Chen, Zhou Wu, Songtao Guo |
| 2019 | ICCAD | Hi-ClockFlow: Multi-Clock Dataflow Automation and Throughput Optimization in High-Level Synthesis. | Tingyuan Liang, Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang |
| 2019 | WCNC | A Fog Computing Paradigm for Efficient Information Services in VANET. | Ke Xiao, Kai Liu, Junhua Wang, Yanning Yang, Liang Feng, Jingjing Cao, Victor C. S. Lee |
| 2019 | UIC | Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth. | Chaoxiong Chen, Yuyang Liu, Chengwu Liao, Chao Chen, Liang Feng, Zhu Wang |
| 2018 | CEC | A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. | Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu |
| 2018 | FCCM | CAMAS: Static and Dynamic Hybrid Cache Management for CPU-FPGA Platforms. | Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang |
| 2018 | GECCO | A study of similarity measure between tasks for multifactorial evolutionary algorithm. | Lei Zhou, Liang Feng, Jinghui Zhong, Zexuan Zhu, Bingshui Da, Zhou Wu |
| 2018 | ICARCV | Study Artificial Potential Field on the Clash Free Layout of Rebar in Reinforced Concrete Beam - Column Joints. | Jiepeng Liu, Chengran Xu, Nian Ao, Liang Feng, Zhou Wu |
| 2018 | UIC | Automated Optimization of Longitudinal Tensile Reinforcement in RC Beam Using Binary PSO Algorithm. | Zhou Wu, Nian Ao, Chengran Xu, Liang Feng, Jiepeng Liu |
| 2018 | UIC | An Annulus Local Search Based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments. | Hao Zhang, Kai Liu, Feiyu Jin, Chao Chen, Chen Zhan, Jianjun Li, Liang Feng |
| 2018 | SECON | An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles. | Yan Ding, Chao Chen, Xuefeng Xie, Kai Liu, Liang Feng |
| 2018 | SECON | Towards Scalable Indoor Localization with Particle Filter and Wi-Fi Fingerprint. | Feiyu Jin, Kai Liu, Hao Zhang, Liang Feng, Chao Chen, Weiwei Wu |
| 2017 | CEC | Linearized domain adaptation in evolutionary multitasking. | Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan |
| 2017 | CEC | Solving dynamic vehicle routing problem via evolutionary search with learning capability. | Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan |
| 2017 | FPL | PAAS: A system level simulator for heterogeneous computing architectures. | Tingyuan Liang, Liang Feng, Sharad Sinha, Wei Zhang |
| 2017 | GLOBECOM | A Memetic Algorithm for Cache-Aided Data Broadcast with Network Coding in Vehicular Networks. | Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Victor C. S. Lee, Sang Hyuk Son |
| 2017 | ICCAD | A hybrid approach to cache management in heterogeneous CPU-FPGA platforms. | Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang |
| 2017 | ICCAD | COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications. | Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He |
| 2017 | WCNC | On-Chip Wireless Optical Channel Modeling for Massive Multi-Core Computing Architectures. | Mona Nafari, Liang Feng, Josep Miquel Jornet |
| 2016 | CEC | Evolutionary multitasking across single and multi-objective formulations for improved problem solving. | Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng |
| 2016 | CEC | Landscape synergy in evolutionary multitasking. | Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko |
| 2016 | CEC | Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. | Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan |
| 2016 | CEC | Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. | Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai |
| 2016 | CEC | A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem. | Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha |
| 2016 | FPL | HeteroSim: A heterogeneous CPU-FPGA simulator. | Liang Feng, Hao Liang, Sharad Sinha, Wei Zhang |
| 2016 | HPCC | Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs. | Junhua Wang, Kai Liu, Penglin Dai, Edwin Hsing-Mean Sha, Liang Feng, Chao Chen, Chunhua Xiao |
| 2016 | IJCNN | Creating human-like non-player game characters using a Memetic Multi-Agent System. | Yaqing Hou, Liang Feng, Yew-Soon Ong |
| 2016 | LCN | Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. | Penglin Dai, Kai Liu, Liang Feng, Qingfeng Zhuge, Victor Chung Sing Lee, Sang Hyuk Son |
| 2013 | APWEB | Practical Duplicate Bug Reports Detection in a Large Web-Based Development Community. | Liang Feng, Leyi Song, Chaofeng Sha, Xueqing Gong |
| 2013 | VTC | Analysis of Coverage Probability for Cooperative Heterogeneous Network. | Yi Feng Xie, Hui Zhang, Yingshan Li, Liang Feng, Mengmeng Ji |
| 2012 | CEC | An evolutionary search paradigm that learns with past experiences. | Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan |
| 2011 | CEC | Towards human-like social multi-agents with memetic automaton. | Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen |
| 2010 | CEC | Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. | Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan |
| 2006 | WWW | Semantic link based top-K join queries in P2P networks. | Jie Liu, Liang Feng, Chao He |
| 2006 | WWW | A pruning-based approach for supporting Top-K join queries. | Jie Liu, Liang Feng, Yunpeng Xing |