| 2026 | AAAI | Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits. | Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang |
| 2026 | ACL | CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks. | Xu Zhang, Hao Li, Zhichao Lu |
| 2025 | AAAI | Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective. | Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu |
| 2025 | AAAI | SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. | Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng |
| 2025 | AAAI | Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework. | Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu |
| 2025 | AAAI | Multi-Objective Evolution of Heuristic Using Large Language Model. | Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu 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 | CVPR | MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. | Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang |
| 2025 | CVPR | DEIM: DETR with Improved Matching for Fast Convergence. | Shihua Huang, Zhichao Lu, Xiaodong Cun, Yongjun Yu, Xiao Zhou, Xi Shen |
| 2025 | ICCV | Trade-Offs in Image Generation: How Do Different Dimensions Interact? | Sicheng Zhang, Binzhu Xie, Zhonghao Yan, Yuli Zhang, Donghao Zhou, Xiaofei Chen, Shi Qiu, Jiaqi Liu, Guoyang Xie, Zhichao Lu |
| 2025 | ICML | Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning. | Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu |
| 2025 | ICRA | Uncertainty-Guided Enhancement on Driving Perception System Via Foundation Models. | Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder |
| 2024 | ACL | Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models. | Wenqing Chen, Weicheng Wang, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu |
| 2024 | ECCV | Rethinking Unsupervised Outlier Detection via Multiple Thresholding. | Zhonghang Liu, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin |
| 2024 | GECCO | A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. | Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng |
| 2024 | ICML | Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. | Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2024 | PPSN | Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. | Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2023 | CVPR | Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. | Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti |
| 2023 | CVPR | Revisiting Residual Networks for Adversarial Robustness. | Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2023 | ICWS | Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. | Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti |
| 2022 | AAAI | Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. | Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister |
| 2022 | CVPR | Multiview Transformers for Video Recognition. | Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid |
| 2022 | DAC | Tailor: removing redundant operations in memristive analog neural network accelerators. | Xingchen Li, Zhihang Yuan, Guangyu Sun, Liang Zhao, Zhichao Lu |
| 2022 | HPCA | Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. | Xingchen Li, Bingzhe Wu, Guangyu Sun, Zhe Zhang, Zhihang Yuan, Runsheng Wang, Ru Huang, Dimin Niu, Hongzhong Zheng, Zhichao Lu, Liang Zhao, Meng-Fan Marvin Chang, Tianchan Guan, Xin Si |
| 2022 | ICML | VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. | Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo |
| 2022 | WACV | PERF-Net: Pose Empowered RGB-Flow Net. | Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang |
| 2021 | DAC | A Compute-in-Memory Architecture Compatible with 3D NAND Flash that Parallelly Activates Multi-Layers. | Liang Zhao, Chu Yan, Fan Yang, Shifan Gao, Gabriel Rosca, Dan Manea, Zhichao Lu, Yi Zhao |
| 2021 | EMO | Multi-objective Neural Architecture Search with Almost No Training. | Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu |
| 2021 | EMO | The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. | Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu |
| 2021 | ICCV | The surprising impact of mask-head architecture on novel class segmentation. | Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang |
| 2021 | ICCV | FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. | Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He |
| 2021 | ICCV | End-to-End Dense Video Captioning with Parallel Decoding. | Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo |
| 2020 | CVPR | MUXConv: Information Multiplexing in Convolutional Neural Networks. | Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2020 | CVPR | RetinaTrack: Online Single Stage Joint Detection and Tracking. | Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang |
| 2020 | CVPR | DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. | Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi |
| 2020 | ECCV | NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. | Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti |
| 2020 | IJCAI | NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). | Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti |
| 2019 | GECCO | NSGA-Net: neural architecture search using multi-objective genetic algorithm. | Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf |
| 2018 | CEC | Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. | Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh |
| 2017 | GECCO | Handling practicalities in agricultural policy optimization for water quality improvements. | Bradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker |
| 2017 | GECCO | Solving a supply-chain management problem using a bilevel approach. | Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick |
| 2016 | GECCO | Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties. | Zhichao Lu, Kalyanmoy Deb, Ankur Sinha |
| 2015 | CEC | Towards optimal ship design and valuable knowledge discovery under uncertain conditions. | Kalyanmoy Deb, Zhichao Lu, Chris B. McKesson, Cherie Courseault Trumbach, Larry DeCan |
| 2015 | CEC | Handling decision variable uncertainty in bilevel optimization problems. | Zhichao Lu, Kalyanmoy Deb, Ankur Sinha |
| 2014 | CVPR | Similarity-Aware Patchwork Assembly for Depth Image Super-resolution. | Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Hongbin Zha |