Zhang, Yichi

49 publications

ICLR 2025 A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

TMLR 2025 Accelerating Learned Image Compression Through Modeling Neural Training Dynamics Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu

CoRL 2025 AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies Yinpei Dai, Jayjun Lee, Yichi Zhang, Ziqiao Ma, Jianing Yang, Amir Zadeh, Chuan Li, Nima Fazeli, Joyce Chai

NeurIPS 2025 Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra Ziyu Xiong, Yichi Zhang, Foyez Alauddin, Chu Xin Cheng, Joon Soo An, Mohammad R. Seyedsayamdost, Ellen D Zhong

CVPR 2025 Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu

NeurIPS 2025 Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1d Tokens Zijian Dong, Li Ruilin, Joanna Su Xian Chong, Niousha Dehestani, Yinghui Teng, Yi Lin, Zhizhou Li, Yichi Zhang, Yapei Xie, Leon Qi Rong Ooi, B.T. Thomas Yeo, Juan Helen Zhou

NeurIPS 2025 DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-World Scenarios Yao Huang, Yitong Sun, Yichi Zhang, Ruochen Zhang, Yinpeng Dong, Xingxing Wei

NeurIPS 2025 Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu

ICLR 2025 FIG: Flow with Interpolant Guidance for Linear Inverse Problems Yici Yan, Yichi Zhang, Xiangming Meng, Zhizhen Zhao

CVPR 2025 Improve Representation for Imbalanced Regression Through Geometric Constraints Zijian Dong, Yilei Wu, Chongyao Chen, Yingtian Zou, Yichi Zhang, Juan Helen Zhou

AAAI 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen

ICLR 2025 MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Peng Gao, Hongsheng Li

ICLRW 2025 ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code Xiangru Tang, Yuliang Liu, Zefan Cai, Daniel Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, Shuzheng Si, Chen Sheng, Haozhe Zhao, Liang Chen, Tianyu Liu, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Zhiwei Jiang, Baobao Chang, Arman Cohan, Mark Gerstein

ICLR 2025 MetaOOD: Automatic Selection of OOD Detection Models Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

NeurIPS 2025 Mitigating Overthinking in Large Reasoning Models via Manifold Steering Yao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong

ICML 2025 Multiobjective Distribution Matching Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang

ICLR 2025 Multiple Heads Are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

ICML 2025 STAIR: Improving Safety Alignment with Introspective Reasoning Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu

ICCV 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi

NeurIPS 2025 Stochastically Dominant Peer Prediction Yichi Zhang, Shengwei Xu, Grant Schoenebeck, David Pennock

AAAI 2025 Tokenization, Fusion, and Augmentation: Towards Fine-Grained Multi-Modal Entity Representation Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

ICLR 2025 Towards Hierarchical Rectified Flow Yichi Zhang, Yici Yan, Alex Schwing, Zhizhen Zhao

AAAI 2024 Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma

AAAI 2024 Eliciting Honest Information from Authors Using Sequential Review Yichi Zhang, Grant Schoenebeck, Weijie Su

CVPR 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu

CVPR 2024 GROUNDHOG: Grounding Large Language Models to Holistic Segmentation Yichi Zhang, Ziqiao Ma, Xiaofeng Gao, Suhaila Shakiah, Qiaozi Gao, Joyce Chai

NeurIPS 2024 Gliding over the Pareto Front with Uniform Designs Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang

NeurIPS 2024 MKGL: Mastery of a Three-Word Language Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

ECCV 2024 MathVerse: Does Your Multi-Modal LLM Truly See the Diagrams in Visual Math Problems? Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li

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

NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

ICLRW 2024 Prioritizing Safeguarding over Autonomy: Risks of LLM Agents for Science Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein

ICLR 2024 Rethinking Model Ensemble in Transfer-Based Adversarial Attacks Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu

AAAI 2024 SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views Shi-Sheng Huang, Zi-Xin Zou, Yichi Zhang, Yan-Pei Cao, Ying Shan

ECCV 2024 SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-Modal Large Language Models Ziyi Lin, Dongyang Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Yu Qiao, Hongsheng Li

NeurIPS 2023 Binarized Neural Machine Translation Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat

NeurIPSW 2023 How Robust Is Google's Bard to Adversarial Image Attacks? Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu

NeurIPS 2023 Revisiting the Evaluation of Image Synthesis with GANs Mengping Yang, Ceyuan Yang, Yichi Zhang, Qingyan Bai, Yujun Shen, Bo Dai

NeurIPSW 2023 Towards End-to-End Embodied Decision Making with Multi-Modal Large Language Model: Explorations with GPT4-Vision and Beyond Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Tianyu Liu, Baobao Chang

CVPR 2023 Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng

CVPR 2022 PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang, Zhiru Zhang, Lukasz Lew

JMLR 2022 Prior Adaptive Semi-Supervised Learning with Application to EHR Phenotyping Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai

NeurIPS 2022 Understanding Hyperdimensional Computing for Parallel Single-Pass Learning Tao Yu, Yichi Zhang, Zhiru Zhang, Christopher M De Sa

ICMLW 2021 Adversarial Semantic Contour for Object Detection Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu

NeurIPS 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh

IJCAI 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen

ICCV 2021 Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang

ICLR 2020 Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang

AAAI 2020 Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses Under the Same Context Yichi Zhang, Zhijian Ou, Zhou Yu