| 2026 | GECCO | Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance. | Shanxian Lin, Yuichi Nagata, Haichuan Yang |
| 2025 | AIED | EDNMs for Visual Analytics of Learning Behavior and Early Risk Prediction. | Cheng Tang, Bin Li, Haichuan Yang, Gen Li, Li Chen, Boxuan Ma, Atsushi Shimada |
| 2025 | KDD | HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback. | Xufeng Cai, Ziwei Guan, Lei Yuan, Ali Selman Aydin, Tengyu Xu, Boying Liu, Wenbo Ren, Renkai Xiang, Songyi He, Haichuan Yang, Serena Li, Mingze Gao, Yue Weng, Ji Liu |
| 2025 | KDD | SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. | Shentao Yang, Haichuan Yang, Linna Du, Adithya Ganesh, Bo Peng, Boying Liu, Serena Li, Ji Liu |
| 2024 | ACL | Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. | Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | CEC | Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. | Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata |
| 2024 | ICASSP | TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. | Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra |
| 2022 | ICASSP | Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. | Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra |
| 2022 | ICML | DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. | Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin |
| 2020 | CVPR | Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. | Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu |
| 2020 | ECCV | GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. | Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang |
| 2019 | CVPR | ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. | Haichuan Yang, Yuhao Zhu, Ji Liu |
| 2019 | ICLR | Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. | Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu |
| 2019 | ICLR | Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. | Haichuan Yang, Yuhao Zhu, Ji Liu |
| 2017 | ICML | On The Projection Operator to A Three-view Cardinality Constrained Set. | Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu |
| 2016 | CVPR | On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. | Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang |
| 2016 | KDD | Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. | Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu |
| 2014 | CVPR | Adaptive Object Retrieval with Kernel Reconstructive Hashing. | Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng |
| 2014 | DSAA | Semi-randomized hashing for large scale data retrieval. | Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai |
| 2013 | ICIP | Label propagation hashing based on p-stable distribution and coordinate descent. | Haichuan Yang, Xiao Bai, Chuntian Liu, Jun Zhou |
| 2013 | IGARSS | Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. | Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou |
| 2002 | SIGUCCS | Building and supporting a massive data infrastructure for the masses. | Anurag Shankar, Gustav Meglicki, Jeff Russ, Haichuan Yang, E. Chris Garrison |