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Tianlong Chen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

166

Venues

29

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

166 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIOR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning.Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen
2026AAAIModel Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm.Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2026AAAICOIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees.Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2026AAAIVulnerability-Aware Robust Multimodal Adversarial Training.Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen
2026ACLThe Adaptive Interrogator: Detecting Trojan LLMs in Multi-Agent Systems via Evolved Conversational Strategies.Rana Muhammad Shahroz Khan, Ruichen Zhang, Zhen Tan, Charles Fleming, Tianlong Chen
2026ACLMetacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction.Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen
2026ACLReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation.Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu
2026ACLLearning Flexible Large Multimodal Models with Arbitrary Modality Combinations.Xinyu Zhao, Kangqi Ni, Jie Peng, Ang Li, Tianlong Chen
2026ACLDemystify the Role of Memory in Machine Learning Engineering Agents.Xinyu Zhao, Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Jiarui Sun, Yan Zheng, Mahashweta Das, Tianlong Chen
2026AIEDCan Multimodal LLMs 'See' Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Videos.Yixuan Shen, Peng He, Honglu Liu, Jinxuan Fan, Yuyang Ji, Tingting Li, Tianlong Chen, Kaidi Xu, Feng Liu
2026EACLDialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations.Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen
2026SPGDDRHammer: Greatly Disturbing DRAM Rows - Cross-Component Rowhammer Attacks From Modern GPUs.Yichang Hu, Noah Brown, Yuhang Chen, Joshua Bakita, Tianlong Chen, Daniel Genkin, Andrew Kwong
2026SPKeytar: Practical Keystroke Timing Attacks and Input Reconstruction.Mufan Qiu, Lihsuan Chuang, Dohhyun Kim, Huaizhi Qu, Tianlong Chen, Andrew Kwong
2026SENSYSEdgeTune: Efficient On-Device LLM Personalization at the Edge.Zhenyu Wang, Rana Muhammad Shahroz Khan, Tianlong Chen, Shahriar Nirjon
2026WSDMExplaining the 'Unexplainable' Large Language Models.Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2025AAAITuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu
2025AAAIBreaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs.Tianlong Chen
2025AAAIMapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models.Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding
2025AAAIVisual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective.Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2025AAAISparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study.Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2025AAAIEvaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks.Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran
2025AAAIBrainMAP: Learning Multiple Activation Pathways in Brain Networks.Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025AAAIDLF: Disentangled-Language-Focused Multimodal Sentiment Analysis.Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu
2025ACLIn Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025ACLSpatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis.Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen
2025ACLVision Language Model Helps Private Information De-Identification in Vision Data.Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025ACLUnveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges.Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025ACLGRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models.Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen
2025ACLUQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging.Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
2025ACLAgents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks.Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen
2025ACLSConU: Selective Conformal Uncertainty in Large Language Models.Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025ACLSCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention.Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu
2025ACLThe Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen
2025CIKMGraphRCG: Self-Conditioned Graph Generation.Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2025CVPRWindow Token Concatenation for Efficient Visual Large Language Models.Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2025EMNLPEQA-RM: A Generative Embodied Reward Model with Test-time Scaling.Yuhang Chen, Zhen Tan, Tianlong Chen
2025EMNLPBit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework.Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen
2025EMNLPGlider: Global and Local Instruction-Driven Expert Router.Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2025EMNLPTask-Aware Resolution Optimization for Visual Large Language Models.Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
2025EMNLPMedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models.Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025EMNLPBag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety.Mufan Qiu, Zheyu Shen, Pingzhi Li, Ang Li, Tianlong Chen
2025EMNLPORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion.Rana Muhammad Shahroz, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen
2025EMNLPFIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference.Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang
2025EMNLPAnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025ICCPHoloZip: High Hologram Compression via Latent-of-Latent Coding.Huaizhi Qu, Yujie Wang, Ruichen Zhang, Hengyu Lian, Mufan Qiu, Samarjit Chakraborty, Henry Fuchs, Tianlong Chen, Praneeth Chakravarthula
2025ICCVTowards Stabilized and Efficient Diffusion Transformers Through Long-Skip-Connections With Spectral Constraints.Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Xiaoye Qu, Tianlong Chen, Yu Cheng
2025ICLRComposable Interventions for Language Models.Arinbjrn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2025ICLRProactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility.Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025ICLRAdapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection.Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal
2025ICLRPortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches.Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen
2025ICLRGraph Sparsification via Mixture of Graphs.Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan
2025ICLRCut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2025ICMLModalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing.Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
2025ICMLOccult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference.Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025ICMLI2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts.Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025ICMLG-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng
2025KDDUntitled recordLichi Li, Zain ul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar
2025KDDA Survey on Trustworthy LLM Agents: Threats and Countermeasures.Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025KDDOldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features.Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025MICRORTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction.Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025NAACLGuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing.Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
2025NAACLLayer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou
2025NAACLBPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment.Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen
2025NAACLAdvancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025SDMProtecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness.Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024AAAISparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
2024CVPRTFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models.Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2024CVPRMolecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang
2024EACLContextualization Distillation from Large Language Model for Knowledge Graph Completion.Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
2024ECCVFacial Affective Behavior Analysis with Instruction Tuning.Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2024ECCVMew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024EMNLPDALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024EMNLPIs C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024EMNLPFFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping.Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella
2024EMNLPCross-Lingual Multi-Hop Knowledge Editing.Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou
2024EMNLPGlue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024ICLRMerge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2024ICLRSparse MoE with Language Guided Routing for Multilingual Machine Translation.Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
2024ICMLMoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts.Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng
2024ICMLEvolution-Inspired Loss Functions for Protein Representation Learning.Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz
2024ICMLPosition: TrustLLM: Trustworthiness in Large Language Models.Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024ICMLSparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once.Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang
2024ICMLRevisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024ICMLTwo Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2024NAACLReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models.Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
2024WWWThought Graph: Generating Thought Process for Biological Reasoning.Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding
2023AAAIPeeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
2023ACLDSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
2023AISTATSLearning to Generalize Provably in Learning to Optimize.Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023CVPRAccelerable Lottery Tickets with the Mixed-Precision Quantization.Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang
2023ICCVAdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li
2023ICCVEnhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023ICCVRobust Mixture-of-Expert Training for Convolutional Neural Networks.Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023ICLRHotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans
2023ICLRSparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers.Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang
2023ICLRMore ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Krkkinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2023ICLRSparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang
2023ICLRIs Attention All That NeRF Needs?Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2023ICLRM-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
2023ICLRGraph Domain Adaptation via Theory-Grounded Spectral Regularization.Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2023ICMLLearning to Optimize Differentiable Games.Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
2023ICMLGraph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023ICMLInstant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023QCEQuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits.Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2023WACVAttend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2022AAAIPlaying Lottery Tickets with Vision and Language.Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu
2022CVPRAug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022CVPRThe Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022CVPRQuarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022CVPRCADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings.Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang
2022ECCVScalable Learning to Optimize: A Learned Optimizer Can Train Big Models.Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang
2022ECCVDnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang
2022ECCVPoint Cloud Domain Adaptation via Masked Local 3D Structure Prediction.Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang
2022ICASSPTowards Lifelong Learning of Multilingual Text-to-Speech Synthesis.Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang
2022ICLRSparsity Winning Twice: Better Robust Generalization from More Efficient Training.Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang
2022ICLRAudio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable.Shaojin Ding, Tianlong Chen, Zhangyang Wang
2022ICLROptimizer Amalgamation.Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022ICLRDeep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2022ICLRThe Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022ICLRLearning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
2022ICLRAnti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022ICLRBayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
2022ICLRUnified Visual Transformer Compression.Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022ICLRSymbolic Learning to Optimize: Towards Interpretability and Scalability.Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang
2022ICMLCoarsening the Granularity: Towards Structurally Sparse Lottery Tickets.Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
2022ICMLData-Efficient Double-Win Lottery Tickets from Robust Pre-training.Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
2022ICMLLinearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022ICMLTraining Your Sparse Neural Network Better with Any Mask.Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022ICMLUniversality of Winning Tickets: A Renormalization Group Perspective.William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra
2022ICMLNeural Implicit Dictionary Learning via Mixture-of-Expert Training.Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022IJCNNTowards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training.Yongduo Sui, Tianlong Chen, Pengfei Xia, Shuyao Wang, Bin Li
2022ISVCBorder Ownership, Category Selectivity and Beyond.Tianlong Chen, Xuemei Cheng, Thomas Tsao
2022WACVSandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2022WSDMBringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2021CVPRThe Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
2021CVPR"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021CVPRTroubleshooting Blind Image Quality Models in the Wild.Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2021ICASSPVGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021ICLRRobust Overfitting may be mitigated by properly learned smoothening.Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021ICLRLong Live the Lottery: The Existence of Winning Tickets in Lifelong Learning.Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021ICLRGANs Can Play Lottery Tickets Too.Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
2021ICLRUndistillable: Making A Nasty Teacher That CANNOT teach students.Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021ICLRLearning A Minimax Optimizer: A Pilot Study.Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
2021ICMLA Unified Lottery Ticket Hypothesis for Graph Neural Networks.Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021ICMLSelf-Damaging Contrastive Learning.Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
2021ICMLGraph Contrastive Learning Automated.Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang
2021ICMLEfficient Lottery Ticket Finding: Less Data is More.Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
2021ICMLSparse and Imperceptible Adversarial Attack via a Homotopy Algorithm.Mingkang Zhu, Tianlong Chen, Zhangyang Wang
2020CVPRAdversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020CVPRFocus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification.Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang
2020CVPRL2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020ECCVHALO: Hardware-Aware Learning to Optimize.Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin
2020ICLRTriple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
2020ICLRI Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2020ICMLSelf-PU: Self Boosted and Calibrated Positive-Unlabeled Training.Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020ICMLWhen Does Self-Supervision Help Graph Convolutional Networks?Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020InterspeechAutoSpeech: Neural Architecture Search for Speaker Recognition.Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang
2020LRECDataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing.Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, Anxiao Jiang
2020WACVCalibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2019AMIAThe Role of Bipartite Networks in Stratified Predictive Modeling.Suresh K. Bhavnani, Clark Andersen, Yu-Li Lin, Emmanuel A. Santillana, Tianlong Chen, Yong-Fang Kuo
2019AMIABipartite Network Analysis with Multiple Datatypes: Implications for Precision Medicine in the Age of Multi-omics Data.Tianlong Chen, Yu-Li Lin, I-Chia Liao, Yong-Fang Kuo, Emmanuel A. Santillana, Clark Andersen, Laurel A. Copeland, Suresh K. Bhavnani
2019ICCVABD-Net: Attentive but Diverse Person Re-Identification.Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2018AMIAUtility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine.Suresh K. Bhavnani, Revathi Sellappan, Saurabh Joshi, Jonathan Starkey, Winston Chan, Tianlong Chen, Shyam Visweswaran
2017AMIAVicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine.Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Shyam Visweswaran, Gowtham Bellala, Kevin E. Bassler
2017AMIAIdentification of Patient Subgroups in Metastatic Breast Cancer Patients Based on Somatic Copy Number Alterations: A Bipartite Network Analysis.Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Jeremy L. Warner
2016AMIAExplodeLayout: Comprehending Patient Subgroups in Large Networks.Bryant Dang, Joseph Mathew, Tianlong Chen, Suresh K. Bhavnani