Chen, Tong

33 publications

ICLRW 2025 A Mammalian High-Throughput Assay to Screen AI-Designed Protein Degraders Lin Zhao, Aastha Pal, Tong Chen, Pranam Chatterjee

TMLR 2025 Denoising Pretrained Black-Box Models via Amplitude-Guided Phase Realignment Hongliang Ni, Tong Chen, Shazia Sadiq, Gianluca Demartini

CVPR 2025 DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels Erjian Guo, Zhen Zhao, Zicheng Wang, Tong Chen, Yunyi Liu, Luping Zhou

ICML 2025 Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin

ICLR 2025 Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng

ICLR 2025 Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

ECML-PKDD 2025 Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin

ICLR 2025 On Quantizing Neural Representation for Variable-Rate Video Coding Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma

CVPR 2025 RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds Kang You, Tong Chen, Dandan Ding, M. Salman Asif, Zhan Ma

ICLRW 2025 Targeting Aggregating Proteins with Language Model-Designed Degraders Rio Watson, Kishan Patel, Tong Chen, Pranam Chatterjee

ICML 2025 Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma

ICLRW 2025 moPPIt: De Novo Generation of Motif-Specific Peptide Binders via Conditional Uniform Discrete Diffusion Tong Chen, Yinuo Zhang, Zachary Quinn, Pranam Chatterjee

ICLRW 2025 muPPIt: De Novo Generation of Mutant-Specific Peptide Binders via Conditional Uniform Discrete Diffusion Tong Chen, Pranam Chatterjee

NeurIPSW 2024 CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh

NeurIPSW 2024 CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh

NeurIPSW 2024 Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng

ICML 2024 MindEye2: Shared-Subject Models Enable fMRI-to-Image with 1 Hour of Data Paul Steven Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham

ICLRW 2024 MindEye2: Shared-Subject Models Enable fMRI-to-Image with 1 Hour of Data Paul Steven Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham

ECCV 2024 RS-NeRF: Neural Radiance Fields from Rolling Shutter Images Muyao Niu, Tong Chen, Yifan Zhan, Zhuoxiao Li, Xiang Ji, Yinqiang Zheng

IJCAI 2021 DA-GCN: A Domain-Aware Attentive Graph Convolution Network for Shared-Account Cross-Domain Sequential Recommendation Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin

IJCAI 2021 Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang

NeurIPS 2021 Localization with Sampling-Argmax Jiefeng Li, Tong Chen, Ruiqi Shi, Yujing Lou, Yong-Lu Li, Cewu Lu

ICML 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang

CVPRW 2021 Micro-Expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion Ling Lei, Tong Chen, Shigang Li, Jianfeng Li

NeurIPS 2021 Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification Tong Chen, Jean B Lasserre, Victor Magron, Edouard Pauwels

CVPRW 2021 Subjective Quality Optimized Efficient Image Compression Xining Wang, Tong Chen, Zhan Ma

AAAI 2020 Learned Video Compression via Joint Spatial-Temporal Correlation Exploration Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma

NeurIPS 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks Tong Chen, Jean B Lasserre, Victor Magron, Edouard Pauwels

AAAI 2020 Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin

IJCAI 2019 Inferring Substitutable Products with Deep Network Embedding Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen

CVPRW 2019 Learned Image Restoration for VVC Intra Coding Ming Lu, Tong Chen, Haojie Liu, Zhan Ma

CVPRW 2019 Practical Stacked Non-Local Attention Modules for Image Compression Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma

CVPRW 2018 Deep Image Compression via End-to-End Learning Haojie Liu, Tong Chen, Qiu Shen, Tao Yue, Zhan Ma