Zhao, Zhe

32 publications

ICLR 2025 BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen

ICML 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-Tailed Data Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang

IJCAI 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang

NeurIPS 2025 Deciphering the Extremes: A Novel Approach for Pathological Long-Tailed Recognition in Scientific Discovery Zhe Zhao, HaiBin Wen, Xianfu Liu, Rui Mao, Pengkun Wang, Liheng Yu, Linjiang Chen, Bo An, Qingfu Zhang, Yang Wang

NeurIPS 2025 Gradient-Guided Epsilon Constraint Method for Online Continual Learning Song Lai, Changyi Ma, Fei Zhu, Zhe Zhao, Xi Lin, Gaofeng Meng, Qingfu Zhang

AAAI 2025 Joint Knowledge Editing for Information Enrichment and Probability Promotion Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du

NeurIPS 2025 No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Kai Tang, Pengfei Hu, Zhe Zhao, Wei Lu, Xiaoyong Du

AAAI 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-Off Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng

AAAI 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-Driven Time Series Analysis Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu, Yang Wang

NeurIPS 2025 TS-MOF: Two-Stage Multi-Objective Fine-Tuning for Long-Tailed Recognition Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang

AAAI 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency Zongxin Liu, Zhe Zhao, Fu Song, Jun Sun, Pengfei Yang, Xiaowei Huang, Lijun Zhang

AAAI 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang

NeurIPS 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang

ICML 2024 LEVI: Generalizable Fine-Tuning via Layer-Wise Ensemble of Different Views Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

NeurIPS 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-Tailed Problems Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang

IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang

NeurIPS 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu

ICML 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-Tailed Learning Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Lai Song, Qingfu Zhang, Yang Wang

AISTATS 2024 Understanding Inverse Scaling and Emergence in Multitask Representation Learning Muhammed E. Ildiz, Zhe Zhao, Samet Oymak

ICML 2023 Fast as CHITA: Neural Network Pruning with Combinatorial Optimization Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder

ICML 2022 HyperPrompt: Prompt-Based Task-Conditioning of Transformers Yun He, Steven Zheng, Yi Tay, Jai Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, Yaguang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi

NeurIPS 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed Chi

NeurIPS 2022 Transformer Memory as a Differentiable Search Index Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuster, William W. Cohen, Donald Metzler

AISTATS 2021 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed Chi, Qiaozhu Mei

NeurIPS 2021 DSelect-K: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed Chi

NeurIPS 2021 Efficiently Identifying Task Groupings for Multi-Task Learning Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

ICLR 2021 HyperGrid Transformers: Towards a Single Model for Multiple Tasks Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan

ICML 2021 Synthesizer: Rethinking Self-Attention for Transformer Models Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng

AAAI 2020 K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang

ICMLW 2019 Improving Relevance Prediction with Transfer Learning in Large-Scale Retrieval Systems Ruoxi Wang, Zhe Zhao, Xinyang Yi, Ji Yang, Derek Zhiyuan Cheng, Lichan Hong, Steve Tjoa, Jieqi Kang, Evan Ettinger, Ed Chi

AAAI 2019 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi

AAAI 2017 Neural Bag-of-Ngrams Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du