Shi, Zhan

25 publications

NeurIPS 2025 Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor Maryam Aliakbarpour, Zhan Shi, Ria Stevens, Vincent X. Wang

AAAI 2024 DiG-in-GNN: Discriminative Feature Guided GNN-Based Fraud Detector Against Inconsistencies in Multi-Relation Fraud Graph Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong

NeurIPS 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu

NeurIPS 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

ICML 2024 Ranking-Based Client Imitation Selection for Efficient Federated Learning Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Cheng-Zhong Xu

ICCV 2023 Aperture Diffraction for Compact Snapshot Spectral Imaging Tao Lv, Hao Ye, Quan Yuan, Zhan Shi, Yibo Wang, Shuming Wang, Xun Cao

NeurIPS 2023 Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li

ICML 2023 Poisoning Generative Replay in Continual Learning to Promote Forgetting Siteng Kang, Zhan Shi, Xinhua Zhang

AISTATS 2022 Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks Yeshu Li, Zhan Shi, Xinhua Zhang, Brian Ziebart

NeurIPSW 2022 Continual Poisoning of Generative Models to Promote Catastrophic Forgetting Siteng Kang, Zhan Shi, Xinhua Zhang

AAAI 2022 Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu

ICML 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith

NeurIPS 2020 Certified Robustness of Graph Convolution Networks for Graph Classification Under Topological Attacks Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri, Xinhua Zhang

IJCAI 2020 End-to-End Transition-Based Online Dialogue Disentanglement Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu

ICLR 2020 Learning Execution Through Neural Code Fusion Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi

ICML 2019 Monge Blunts Bayes: Hardness Results for Adversarial Training Zac Cranko, Aditya Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian Walder

CVPRW 2019 NTIRE 2019 Challenge on Image Colorization: Report Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak

AAAI 2018 Deep Embedding for Determining the Number of Clusters Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

ECCVW 2018 Deep Residual Attention Network for Spectral Image Super-Resolution Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu

CVPRW 2018 HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Feng Wu

ICML 2018 Inductive Two-Layer Modeling with Parametric Bregman Transfer Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu

ECCVW 2018 PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

IJCAI 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang

NeurIPS 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction Zhan Shi, Xinhua Zhang, Yaoliang Yu

ICCVW 2017 HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections Zhiwei Xiong, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, Feng Wu