Tianlong Chen - RankMe

459 papers A* 121A 9B 3Misc 3Journal 270Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026	A*	`conf`	COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. AAAI Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2026	J	`jnl`	Can Multimodal LLMs See Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Videos. CoRR Yixuan Shen, Peng He, Honglu Liu, Yuyang Ji, Tingting Li, Tianlong Chen, Kaidi Xu, Feng Liu
2026	J	`jnl`	Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs. CoRR Kangqi Ni, Wenyue Hua, Xiaoxiang Shi, Jiang Guo, Shiyu Chang, Tianlong Chen
2026	J	`jnl`	Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models. CoRR Xin Xu, Clive Bai, Kai Yang, Tianlong Chen, Yangkun Chen, Weijie Liu, Hao Chen, Yang Wang, Saiyong Yang, Can Yang
2026	—	`conf`	Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. EACL (Findings) Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen
2026	J	`jnl`	Dynamic Mix Precision Routing for Efficient Multi-step LLM Interaction. CoRR Yuanzhe Li, Jianing Deng, Jingtong Hu, Tianlong Chen, Song Wang, Huanrui Yang
2026	A	`conf`	Explaining the 'Unexplainable' Large Language Models. WSDM Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2026	J	`jnl`	Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs. CoRR Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng, Wujiang Xu, Mengnan Du, Wei Cheng, Zhaoran Wang, Tianlong Chen, Dimitris N. Metaxas
2026	J	`jnl`	FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics. CoRR Pingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin, Tianlong Chen
2026	J	`jnl`	Geometry- and Relation-Aware Diffusion for EEG Super-Resolution. CoRR Laura Yao, Gengwei Zhang, Moajjem Chowdhury, Yunmei Liu, Tianlong Chen
2026	A*	`conf`	Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. AAAI Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2026	J	`jnl`	Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures. CoRR Shuqing Luo, Ye Han, Pingzhi Li, Jiayin Qin, Jie Peng, Yang Zhao, Yu Cao, Tianlong Chen
2026	J	`jnl`	NeuroCanvas: VLLM-Powered Robust Seizure Detection by Reformulating Multichannel EEG as Image. CoRR Yan Chen, Jie Peng, Moajjem Hossain Chowdhury, Tianlong Chen, Yunmei Liu
2026	A*	`conf`	OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning. AAAI Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen
2026	J	`jnl`	PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency. CoRR Zhangyi Liu, Huaizhi Qu, Xiaowei Yin, He Sun, Yanjun Han, Tianlong Chen, Zhun Deng
2026	J	`jnl`	PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification. CoRR Jian Yu, Joakim Nguyen, Jinrui Fang, Awais Naeem, Zeyuan Cao, Sanjay Krishnan, Nicholas Konz, Tianlong Chen, Chandra Krishnan, Hairong Wang, Edward Castillo, Ying Ding, Ankita Shukla
2026	J	`jnl`	Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion. CoRR Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2026	J	`jnl`	Progressive Residual Warmup for Language Model Pretraining. CoRR Tianlong Chen, Xin Xu, Lu Yin, Hao Chen, Yang Wang, Shizhe Diao, Can Yang
2026	J	`jnl`	SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. Bernardo Consoli, Haoyang Wang, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2026	J	`jnl`	TMS: Trajectory-Mixed Supervision for Reward-Free, On-Policy SFT. CoRR Rana Muhammad Shahroz Khan, Zijie Liu, Zhen Tan, Charles Fleming, Tianlong Chen
2026	J	`jnl`	Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen
2026	J	`jnl`	Towards Building Non-Fine-Tunable Foundation Models. CoRR Ziyao Wang, Nizhang Li, Pingzhi Li, Guoheng Sun, Tianlong Chen, Ang Li
2026	A*	`conf`	Vulnerability-Aware Robust Multimodal Adversarial Training. AAAI Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen
2026	J	`jnl`	Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding? CoRR Pengxiang Li, Dilxat Muhtar, Tianlong Chen, Lu Yin, Shiwei Liu
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025	—	`conf`	A Decentralized Framework for Auditing Large Language Model Reasoning. TPS-ISA Morris Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zezhen Ding, Zhuo Zhang, Tianlong Chen
2025	J	`jnl`	A Space-Time Transformer for Precipitation Forecasting. CoRR Levi Harris, Tianlong Chen
2025	J	`jnl`	A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. Trans. Mach. Learn. Res. Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2025	—	`conf`	A Survey on Trustworthy LLM Agents: Threats and Countermeasures. KDD (2) Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025	J	`jnl`	A Survey on Trustworthy LLM Agents: Threats and Countermeasures. CoRR Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025	J	`jnl`	A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian
2025	A*	`conf`	Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. ICLR Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal
2025	—	`conf`	Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design. NAACL (Long Papers) Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025	J	`jnl`	Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design. CoRR Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025	—	`conf`	Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. ACL (1) Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen
2025	J	`jnl`	Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. CoRR Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen
2025	A*	`conf`	AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. EMNLP Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025	J	`jnl`	AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. CoRR Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025	J	`jnl`	Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu
2025	J	`jnl`	AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding. CoRR Shuqing Luo, Yilin Guan, Pingzhi Li, Hanrui Wang, Tianlong Chen
2025	—	`conf`	BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment. NAACL (Long Papers) Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen
2025	—	`conf`	Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety. EMNLP (Findings) Mufan Qiu, Zheyu Shen, Pingzhi Li, Ang Li, Tianlong Chen
2025	J	`jnl`	Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder. CoRR Zhen Xu, Zhen Tan, Song Wang, Kaidi Xu, Tianlong Chen
2025	A*	`conf`	Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework. EMNLP Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen
2025	A*	`conf`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025	A*	`conf`	Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs. AAAI Tianlong Chen
2025	J	`jnl`	COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. CoRR Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	Can GRPO Help LLMs Transcend Their Pretraining Origin? CoRR Kangqi Ni, Zhen Tan, Zijie Liu, Pingzhi Li, Tianlong Chen
2025	A*	`conf`	Composable Interventions for Language Models. ICLR Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2025	J	`jnl`	Continually Evolved Multimodal Foundation Models for Cancer Prognosis. CoRR Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen
2025	A*	`conf`	Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. ICLR Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	A*	`conf`	DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis. AAAI Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu
2025	J	`jnl`	DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation. CoRR Pingzhi Li, Zhen Tan, Huaizhi Qu, Huan Liu, Tianlong Chen
2025	J	`jnl`	Deep Learning for Accurate Diagnosis of Viral Infections through scRNA-seq Analysis: A Comprehensive Benchmark Study. J. Data-centric Mach. Learn. Res. Ziwei Yang, Xuxi Chen, Biqing Zhu, Tianlong Chen, Zhangyang Wang
2025	J	`jnl`	Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations. CoRR Zijie Liu, Xinyu Zhao, Jie Peng, Zhuangdi Zhu, Qingyu Chen, Xia Hu, Tianlong Chen
2025	J	`jnl`	Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning. CoRR Xin Xu, Tianlong Chen, Fan Zhang, Wanlong Liu, Pengxiang Li, Ajay Kumar Jaiswal, Yuchen Yan, Jishan Hu, Yang Wang, Hao Chen, Shiwei Liu, Shizhe Diao, Can Yang, Lu Yin
2025	A*	`conf`	EQA-RM: A Generative Embodied Reward Model with Test-time Scaling. EMNLP Yuhang Chen, Zhen Tan, Tianlong Chen
2025	J	`jnl`	EQA-RM: A Generative Embodied Reward Model with Test-time Scaling. CoRR Yuhang Chen, Zhen Tan, Tianlong Chen
2025	J	`jnl`	EditCast3D: Single-Frame-Guided 3D Editing with Video Propagation and View Selection. CoRR Huaizhi Qu, Ruichen Zhang, Shuqing Luo, Luchao Qi, Zhihao Zhang, Xiaoming Liu, Roni Sengupta, Tianlong Chen
2025	—	`conf`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	—	`conf`	Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks. AAAI Bridge Program Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran
2025	—	`conf`	FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. EMNLP (Findings) Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang
2025	J	`jnl`	FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. CoRR Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang
2025	J	`jnl`	Fairness in Multi-modal Medical Diagnosis with Demonstration Selection. CoRR Dawei Li, Zijian Gu, Peng Wang, Chuhan Song, Zhen Tan, Mohan Zhang, Tianlong Chen, Yu Tian, Song Wang
2025	J	`jnl`	FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning. CoRR Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen
2025	J	`jnl`	Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. CoRR Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du
2025	A*	`conf`	G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. ICML Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng
2025	J	`jnl`	GEM: 3D Gaussian Splatting for Efficient and Accurate Cryo-EM Reconstruction. CoRR Huaizhi Qu, Xiao Wang, Gengwei Zhang, Jie Peng, Tianlong Chen
2025	J	`jnl`	GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling. CoRR Tianlong Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Yin Lu, Can Yang
2025	—	`conf`	GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. ACL (Findings) Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen
2025	J	`jnl`	GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. CoRR Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen
2025	J	`jnl`	GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation. J. Biomed. Informatics Yuxi Liu, Zhenhao Zhang, Jiacong Mi, Shirui Pan, Tianlong Chen, Yi Guo, Xing He, Jiang Bian
2025	A*	`conf`	Glider: Global and Local Instruction-Driven Expert Router. EMNLP Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2025	A*	`conf`	Graph Sparsification via Mixture of Graphs. ICLR Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan
2025	A	`conf`	GraphRCG: Self-Conditioned Graph Generation. CIKM Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2025	J	`jnl`	GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization. CoRR Min Chen, Jinglei Cheng, Pingzhi Li, Haoran Wang, Tianlong Chen, Junyu Liu
2025	J	`jnl`	GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching. CoRR Haoran Wang, Pingzhi Li, Min Chen, Jinglei Cheng, Junyu Liu, Tianlong Chen
2025	—	`conf`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. NAACL (Long Papers) 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
2025	J	`jnl`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. CoRR 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
2025	J	`jnl`	H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. CoRR Ziang Yin, Aashish Poonia, Ashish Reddy Bommana, Xinyu Zhao, Zahra Hojati, Tianlong Chen, Krishnendu Chakrabarty, Farshad Firouzi, Jeff Zhang, Jiaqi Gu
2025	B	`conf`	HoloZip: High Hologram Compression via Latent-of-Latent Coding. ICCP Huaizhi Qu, Yujie Wang, Ruichen Zhang, Hengyu Lian, Mufan Qiu, Samarjit Chakraborty, Henry Fuchs, Tianlong Chen, Praneeth Chakravarthula
2025	A*	`conf`	I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. ICML Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025	J	`jnl`	I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. CoRR Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025	—	`conf`	In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. ACL (1) 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
2025	J	`jnl`	In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. CoRR 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
2025	J	`jnl`	IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios. CoRR Yifan Li, Yuhang Chen, Anh Dao, Lichi Li, Zhongyi Cai, Zhen Tan, Tianlong Chen, Yu Kong
2025	J	`jnl`	LEC: Linear Expectation Constraints for False-Discovery Control in Selective Prediction and Routing Systems. CoRR Zhiyuan Wang, Aniri, Tianlong Chen, Yue Zhang, Heng Tao Shen, Xiaoshuang Shi, Kaidi Xu
2025	—	`conf`	Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. NAACL (Long Papers) Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou
2025	J	`jnl`	Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. CoRR Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou
2025	J	`jnl`	Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures. CoRR Pingzhi Li, Morris Yu-Chao Huang, Zhen Tan, Qingquan Song, Jie Peng, Kai Zou, Yu Cheng, Kaidi Xu, Tianlong Chen
2025	J	`jnl`	LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution. CoRR Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang
2025	J	`jnl`	LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations. CoRR Yining Jiao, Sreekalyani Bhamidi, Huaizhi Qu, Carlton J. Zdanski, Julia S. Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Tianlong Chen, Marc Niethammer
2025	J	`jnl`	Make Optimization Once and for All with Fine-grained Guidance. CoRR Mingjia Shi, Ruihan Lin, Xuxi Chen, Yuhao Zhou, Zezhen Ding, Pingzhi Li, Tong Wang, Kai Wang, Zhangyang Wang, Jiheng Zhang, Tianlong Chen
2025	A*	`conf`	Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. AAAI Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding
2025	J	`jnl`	Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. CoRR Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding
2025	A*	`conf`	MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. EMNLP Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025	J	`jnl`	MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. CoRR Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025	J	`jnl`	Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. CoRR Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen
2025	A*	`conf`	Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing. ICML Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
2025	J	`jnl`	Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. CoRR Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2025	J	`jnl`	More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. CoRR Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong
2025	J	`jnl`	Multi-Agent Debate for LLM Judges with Adaptive Stability Detection. CoRR Tianyu Hu, Zhen Tan, Song Wang, Huaizhi Qu, Tianlong Chen
2025	J	`jnl`	Multimodal Fusion of Regional Brain Experts for Interpretable Alzheimer's Disease Diagnosis. CoRR Farica Zhuang, Dinara Aliyeva, Shu Yang, Zixuan Wen, Duy Duong-Tran, Christos Davatzikos, Tianlong Chen, Song Wang, Li Shen
2025	J	`jnl`	NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis. CoRR Yexiao He, Ziyao Wang, Yuning Zhang, Tingting Dan, Tianlong Chen, Guorong Wu, Ang Li
2025	J	`jnl`	OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning. CoRR Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen
2025	—	`conf`	ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion. EMNLP (Findings) Rana Muhammad Shahroz, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen
2025	J	`jnl`	ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion. CoRR Rana Muhammad Shahroz Khan, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen
2025	J	`jnl`	Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference. CoRR Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025	A*	`conf`	Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference. ICML Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025	—	`conf`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. KDD (2) Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	J	`jnl`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. CoRR Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	J	`jnl`	One Token Embedding Is Enough to Deadlock Your Large Reasoning Model. CoRR Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen
2025	J	`jnl`	PPBoost: Progressive Prompt Boosting for Text-Driven Medical Image Segmentation. CoRR Xuchen Li, Hengrui Gu, Mohan Zhang, Qin Liu, Zhen Tan, Xinyuan Zhu, Huixue Zhou, Tianlong Chen, Kaixiong Zhou
2025	A*	`conf`	PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. ICLR Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen
2025	A*	`conf`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. ICLR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	J	`jnl`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. CoRR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	A	`conf`	Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness. SDM Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025	J	`jnl`	Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning. Trans. Mach. Learn. Res. Andy Li, Aiden Durrant, Milan Markovic, Tianjin Huang, Souvik Kundu, Tianlong Chen, Lu Yin, Georgios Leontidis
2025	J	`jnl`	Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks. CoRR Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen, Hsi-Sheng Goan
2025	A*	`conf`	RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. MICRO Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025	J	`jnl`	RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. CoRR Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025	J	`jnl`	ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows. CoRR Penghao Wang, Yuhao Zhou, Mengxuan Wu, Ziheng Qin, Bangyuan Zhu, Shengbin Huang, Xuanlei Zhao, Panpan Zhang, Xiaojiang Peng, Yuzhang Shang, Jianfei Yang, Zheng Zhu, Tianlong Chen, Zhangyang Wang, Kai Wang
2025	J	`jnl`	SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling. CoRR Jiaye Yang, Xinyu Zhao, Tianlong Chen, Kandyce Brennan
2025	—	`conf`	SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. ACL (1) Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu
2025	J	`jnl`	SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. CoRR Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu
2025	—	`conf`	SConU: Selective Conformal Uncertainty in Large Language Models. ACL (1) Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	SConU: Selective Conformal Uncertainty in Large Language Models. CoRR Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes. CoRR Zhenglun Kong, Mufan Qiu, John Boesen, Xiang Li, Sukwon Yun, Tianlong Chen, Manolis Kellis, Marinka Zitnik
2025	—	`conf`	Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning. CPAL Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen
2025	A*	`conf`	Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. AAAI Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2025	J	`jnl`	SparseC-AFM: a deep learning method for fast and accurate characterization of MoS CoRR Levi Harris, Md Jayed Hossain, Mufan Qiu, Ruichen Zhang, Pingchuan Ma, Tianlong Chen, Jiaqi Gu, Seth Ariel Tongay, Umberto Celano
2025	—	`conf`	Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis. ACL (Findings) Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen
2025	J	`jnl`	Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis. CoRR Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen
2025	J	`jnl`	Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu
2025	J	`jnl`	Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs. CoRR Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Vincent Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Qian, Tianlong Chen
2025	J	`jnl`	Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning. CoRR Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal
2025	J	`jnl`	TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning. CoRR Morris Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zhuo Zhang, Tianlong Chen
2025	A*	`conf`	Task-Aware Resolution Optimization for Visual Large Language Models. EMNLP Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
2025	J	`jnl`	Task-Aware Resolution Optimization for Visual Large Language Models. CoRR Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
2025	—	`conf`	The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. ACL (1) 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
2025	J	`jnl`	The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. CoRR Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen
2025	J	`jnl`	The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. CoRR Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen
2025	—	`conf`	Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation. ICHI Kyle Cox, Gang Qu, Chi-Yang Hsu, Jiawei Xu, Yingtong Zhou, Zhen Tan, Mengzhou Hu, Tianlong Chen, Ziniu Hu, Zhongming Zhao, Ying Ding
2025	J	`jnl`	Transferring Expert Cognitive Models to Social Robots via Agentic Concept Bottleneck Models. CoRR Xinyu Zhao, Zhen Tan, Maya Enisman, Minjae Seo, Marta R. Durantini, Dolores Albarracin, Tianlong Chen
2025	A*	`conf`	Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu
2025	J	`jnl`	UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making. CoRR Jinhao Duan, James Diffenderfer, Sandeep Madireddy, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
2025	—	`conf`	UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging. ACL (Findings) Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
2025	J	`jnl`	Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. CoRR Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal
2025	J	`jnl`	Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting. CoRR Feng Wang, Tianlong Chen, Shuyue Wei, Qian Chu, Yi Zhang, Yifan Sun, Zhiming Zheng
2025	—	`conf`	Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges. ACL (Findings) Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025	J	`jnl`	VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan
2025	—	`conf`	Vision Language Model Helps Private Information De-Identification in Vision Data. ACL (Findings) Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025	A*	`conf`	Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. AAAI Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2025	J	`jnl`	Vulnerability-Aware Robust Multimodal Adversarial Training. CoRR Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen
2025	—	`conf`	Window Token Concatenation for Efficient Visual Large Language Models. CVPR Workshops Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2025	J	`jnl`	Window Token Concatenation for Efficient Visual Large Language Models. CoRR Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2025	J	`jnl`	Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. Eng. Appl. Artif. Intell. Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Yue Zhang, Ren Wang, Xiaoshuang Shi, Kaidi Xu
2025	—	`conf`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CPAL Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
2025	J	`jnl`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu
2024	J	`jnl`	"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork. CoRR Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen
2024	J	`jnl`	A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2024	J	`jnl`	Accelerating Vision Diffusion Transformers with Skip Branches. CoRR Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Tianlong Chen, Yu Cheng
2024	J	`jnl`	Adapt-∞: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection. CoRR Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal
2024	J	`jnl`	Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Barbosa Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo
2024	J	`jnl`	BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment. CoRR Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen
2024	J	`jnl`	Benchmark on Drug Target Interaction Modeling from a Structure Perspective. CoRR Xinnan Zhang, Jialin Wu, Junyi Xie, Tianlong Chen, Kaixiong Zhou
2024	J	`jnl`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2024	J	`jnl`	Composable Interventions for Language Models. CoRR Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2024	—	`conf`	Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
2024	J	`jnl`	Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
2024	J	`jnl`	Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach. CoRR Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou
2024	—	`conf`	Cross-Lingual Multi-Hop Knowledge Editing. EMNLP (Findings) Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou
2024	—	`conf`	Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework. CPAL Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
2024	J	`jnl`	Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. CoRR Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2024	—	`conf`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 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
2024	J	`jnl`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR 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
2024	J	`jnl`	DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis. CoRR Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu
2024	J	`jnl`	DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. CoRR Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen
2024	—	`conf`	Distributed UAV Beamforming Using Graph Recurrent Neural Networks. SAM Wenqing Zheng, Brian M. Sadler, Fernando Gama, Tianlong Chen
2024	—	`conf`	Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography. TPS-ISA Pingzhi Li, Tianlong Chen, Junyu Liu
2024	J	`jnl`	Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography. CoRR Pingzhi Li, Tianlong Chen, Junyu Liu
2024	A*	`conf`	Evolution-Inspired Loss Functions for Protein Representation Learning. ICML Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz
2024	J	`jnl`	Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark. CoRR Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen
2024	A*	`conf`	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. EMNLP Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella
2024	J	`jnl`	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella
2024	J	`jnl`	FM-TS: Flow Matching for Time Series Generation. CoRR Yang Hu, Xiao Wang, Lirong Wu, Huatian Zhang, Stan Z. Li, Sheng Wang, Tianlong Chen
2024	—	`conf`	Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2024	J	`jnl`	Facial Affective Behavior Analysis with Instruction Tuning. CoRR Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2024	J	`jnl`	FairSkin: Fair Diffusion for Skin Disease Image Generation. CoRR Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen
2024	A*	`conf`	Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. NeurIPS Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
2024	J	`jnl`	Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. CoRR Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
2024	A*	`conf`	GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. NeurIPS Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024	J	`jnl`	GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. CoRR Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024	A*	`conf`	GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations. NeurIPS Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024	J	`jnl`	GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024	J	`jnl`	Glider: Global and Local Instruction-Driven Expert Router. CoRR Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2024	A*	`conf`	Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	Graph Sparsification via Mixture of Graphs. CoRR Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan
2024	J	`jnl`	GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2024	J	`jnl`	HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy. CoRR Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen
2024	—	`conf`	HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. CPAL Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie
2024	J	`jnl`	Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching. CoRR Jie Peng, Zhang Cao, Huaizhi Qu, Zhengyu Zhang, Chang Guo, Yanyong Zhang, Zhichao Cao, Tianlong Chen
2024	J	`jnl`	Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent. CoRR Pingzhi Li, Junyu Liu, Hanrui Wang, Tianlong Chen
2024	J	`jnl`	Inductive Lottery Ticket Learning for Graph Neural Networks. J. Comput. Sci. Technol. Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat-Seng Chua
2024	J	`jnl`	Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. CoRR Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen
2024	A*	`conf`	Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. EMNLP Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024	J	`jnl`	Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. CoRR Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Kumar Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024	J	`jnl`	Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen
2024	J	`jnl`	Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2024	J	`jnl`	MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. CoRR Lichi Li, Zain ul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar
2024	A*	`conf`	Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. ICLR Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2024	—	`conf`	Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. ECCV (55) Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024	J	`jnl`	Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network. CoRR Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024	A*	`conf`	MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts. ICML Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng
2024	J	`jnl`	MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts. CoRR Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng
2024	A*	`conf`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	J	`jnl`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	A*	`conf`	Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision. CVPR Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang
2024	J	`jnl`	One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization. IEEE J. Sel. Top. Signal Process. Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang
2024	—	`conf`	Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. ML4H@NeurIPS Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding
2024	J	`jnl`	Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. CoRR Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	J	`jnl`	PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. CoRR Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML 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
2024	J	`jnl`	Privacy-preserving Fine-tuning of Large Language Models through Flatness. CoRR Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024	J	`jnl`	QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2024	J	`jnl`	RESSA: Repair Sparse Vision-Language Models via Sparse Cross-Modality Adaptation. CoRR Shwai He, Tianlong Chen
2024	—	`conf`	ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. NAACL-HLT Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
2024	A*	`conf`	Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. ICML 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
2024	J	`jnl`	Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR 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
2024	J	`jnl`	SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2024	J	`jnl`	Single-cell RNA sequencing data imputation using bi-level feature propagation. Briefings Bioinform. Junseok Lee, Sukwon Yun, Yeongmin Kim, Tianlong Chen, Manolis Kellis, Chanyoung Park
2024	A*	`conf`	Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. ICML Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang
2024	A*	`conf`	Sparse MoE with Language Guided Routing for Multilingual Machine Translation. ICLR Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
2024	A*	`conf`	Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
2024	A*	`conf`	TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2024	J	`jnl`	Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
2024	J	`jnl`	The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu
2024	—	`conf`	Thought Graph: Generating Thought Process for Biological Reasoning. WWW (Companion Volume) Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding
2024	J	`jnl`	Thought Graph: Generating Thought Process for Biological Reasoning. CoRR Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding
2024	—	`conf`	Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, 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, Yue Zhao
2024	J	`jnl`	Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu
2024	A*	`conf`	Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2024	J	`jnl`	Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2024	J	`jnl`	Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. Trans. Mach. Learn. Res. Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal
2024	J	`jnl`	Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi
2023	—	`conf`	Accelerable Lottery Tickets with the Mixed-Precision Quantization. CVPR Workshops Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang
2023	A*	`conf`	AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. ICCV Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li
2023	A	`conf`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2023	J	`jnl`	Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2023	—	`conf`	DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
2023	J	`jnl`	Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. Int. J. Comput. Vis. Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
2023	—	`conf`	Enhancing Adversarial Training via Reweighting Optimization Trajectory. ECML/PKDD (1) Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
2023	J	`jnl`	Enhancing Adversarial Training via Reweighting Optimization Trajectory. CoRR Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
2023	A*	`conf`	Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. ICCV Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023	J	`jnl`	Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. CoRR Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023	J	`jnl`	Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang
2023	A*	`conf`	Graph Domain Adaptation via Theory-Grounded Spectral Regularization. ICLR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2023	A*	`conf`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	H CoRR Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	A*	`conf`	H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	A*	`conf`	HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. ICLR Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans
2023	A*	`conf`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. ICML Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	A*	`conf`	Is Attention All That NeRF Needs? ICLR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2023	A	`conf`	Learning to Generalize Provably in Learning to Optimize. AISTATS Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023	J	`jnl`	Learning to Generalize Provably in Learning to Optimize. CoRR Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023	A*	`conf`	Learning to Optimize Differentiable Games. ICML Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
2023	A*	`conf`	M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. ICLR Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
2023	J	`jnl`	M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. CoRR Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
2023	J	`jnl`	Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. CoRR Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2023	A*	`conf`	More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2023	A*	`conf`	Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI 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
2023	Misc	`conf`	QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2023	J	`jnl`	Rethinking PGD Attack: Is Sign Function Necessary? CoRR Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang
2023	A*	`conf`	Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023	J	`jnl`	Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023	J	`jnl`	SiRA: Sparse Mixture of Low Rank Adaptation. CoRR Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng
2023	A*	`conf`	Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. ICLR Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang
2023	J	`jnl`	Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
2023	A*	`conf`	Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang
2023	J	`jnl`	Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang
2023	J	`jnl`	Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
2023	J	`jnl`	TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2023	J	`jnl`	The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need. CoRR Tianjin Huang, Tianlong Chen, Zhangyang Wang, Shiwei Liu
2023	A*	`conf`	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. NeurIPS Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2023	J	`jnl`	Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. CoRR Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2022	A*	`conf`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	APP: Anytime Progressive Pruning. CoRR Diganta Misra, Bharat Runwal, Tianlong Chen, Zhangyang Wang, Irina Rish
2022	A*	`conf`	Advancing Model Pruning via Bi-level Optimization. NeurIPS Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022	J	`jnl`	Advancing Model Pruning via Bi-level Optimization. CoRR Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022	J	`jnl`	Adversarial Feature Augmentation and Normalization for Visual Recognition. Trans. Mach. Learn. Res. Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang
2022	A*	`conf`	Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. CoRR Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2022	A*	`conf`	Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable. ICLR Shaojin Ding, Tianlong Chen, Zhangyang Wang
2022	A*	`conf`	Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022	J	`jnl`	Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CoRR Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022	A*	`conf`	Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022	J	`jnl`	Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022	—	`conf`	AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks. AutoML Duc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	A*	`conf`	Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. ICLR Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
2022	A	`conf`	Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. WSDM Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2022	J	`jnl`	Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. CoRR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2022	A*	`conf`	CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang
2022	J	`jnl`	Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer? CoRR Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zhangyang Wang
2022	J	`jnl`	Can You Win Everything with A Lottery Ticket? Trans. Mach. Learn. Res. Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2022	J	`jnl`	Can pruning improve certified robustness of neural networks? CoRR Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2022	A*	`conf`	Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
2022	J	`jnl`	Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
2022	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2022	A*	`conf`	Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. ICML Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
2022	J	`jnl`	Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. CoRR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
2022	A*	`conf`	Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2022	—	`conf`	DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang
2022	J	`jnl`	Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. CoRR Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
2022	J	`jnl`	Is Attention All NeRF Needs? CoRR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	A*	`conf`	Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. ICLR Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
2022	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2022	A*	`conf`	Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022	J	`jnl`	Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022	J	`jnl`	M CoRR Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022	J	`jnl`	More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2022	A*	`conf`	M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022	A*	`conf`	Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Neural Implicit Dictionary via Mixture-of-Expert Training. CoRR Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022	A*	`conf`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	A*	`conf`	Optimizer Amalgamation. ICLR Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	J	`jnl`	Optimizer Amalgamation. CoRR Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	J	`jnl`	Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR 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
2022	A*	`conf`	Playing Lottery Tickets with Vision and Language. AAAI Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu
2022	—	`conf`	Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. ECCV (3) Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang
2022	J	`jnl`	QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. CoRR Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu
2022	A*	`conf`	Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022	J	`jnl`	Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CoRR Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022	J	`jnl`	Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. CoRR Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	J	`jnl`	Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. Trans. Mach. Learn. Res. Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	A*	`conf`	Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang
2022	A	`conf`	Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. WACV Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2022	—	`conf`	Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang
2022	J	`jnl`	Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2022	A*	`conf`	Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS Mukund Varma T., Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	A*	`conf`	Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. ICLR Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang
2022	J	`jnl`	Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. CoRR Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang
2022	A*	`conf`	Symbolic Learning to Optimize: Towards Interpretability and Scalability. ICLR Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang
2022	J	`jnl`	Symbolic Learning to Optimize: Towards Interpretability and Scalability. CoRR Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang
2022	A*	`conf`	The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CVPR Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022	J	`jnl`	The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CoRR Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022	A*	`conf`	The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022	J	`jnl`	The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022	Misc	`conf`	Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis. ICASSP Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang
2022	B	`conf`	Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. IJCNN Yongduo Sui, Tianlong Chen, Pengfei Xia, Shuyao Wang, Bin Li
2022	A*	`conf`	Training Your Sparse Neural Network Better with Any Mask. ICML Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Training Your Sparse Neural Network Better with Any Mask. CoRR Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022	A*	`conf`	Unified Visual Transformer Compression. ICLR Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022	J	`jnl`	Unified Visual Transformer Compression. CoRR Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022	A*	`conf`	Universality of Winning Tickets: A Renormalization Group Perspective. ICML William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra
2022	J	`jnl`	VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. CoRR Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang
2022	—	`conf`	You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2022	J	`jnl`	You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2021	—	`conf`	"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. CVPR Workshops Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021	J	`jnl`	"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. CoRR Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021	A*	`conf`	A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021	J	`jnl`	A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021	J	`jnl`	Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
2021	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2021	J	`jnl`	CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
2021	A*	`conf`	Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
2021	J	`jnl`	Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
2021	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. CoRR Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah
2021	A*	`conf`	Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021	—	`conf`	DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi
2021	A*	`conf`	Efficient Lottery Ticket Finding: Less Data is More. ICML Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	Efficient Lottery Ticket Finding: Less Data is More. CoRR Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	A*	`conf`	GANs Can Play Lottery Tickets Too. ICLR Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
2021	J	`jnl`	GANs Can Play Lottery Tickets Too. CoRR Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
2021	J	`jnl`	Good Students Play Big Lottery Better. CoRR Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021	A*	`conf`	Graph Contrastive Learning Automated. ICML Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang
2021	J	`jnl`	Graph Contrastive Learning Automated. CoRR Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang
2021	A*	`conf`	Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. NeurIPS Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2021	J	`jnl`	Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. CoRR Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2021	A*	`conf`	Learning A Minimax Optimizer: A Pilot Study. ICLR Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
2021	J	`jnl`	Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
2021	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. CoRR Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	A*	`conf`	Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. ICLR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021	J	`jnl`	Playing Lottery Tickets with Vision and Language. CoRR Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu
2021	A*	`conf`	Robust Overfitting may be mitigated by properly learned smoothening. ICLR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021	J	`jnl`	Sandwich Batch Normalization. CoRR Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2021	A*	`conf`	Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
2021	J	`jnl`	Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
2021	J	`jnl`	Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	A*	`conf`	Self-Damaging Contrastive Learning. ICML Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
2021	J	`jnl`	Self-Damaging Contrastive Learning. CoRR Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
2021	A*	`conf`	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	J	`jnl`	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	A*	`conf`	Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. ICML Mingkang Zhu, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. CoRR Mingkang Zhu, Tianlong Chen, Zhangyang Wang
2021	A*	`conf`	The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. CVPR Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
2021	J	`jnl`	Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis. CoRR Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang
2021	A*	`conf`	Troubleshooting Blind Image Quality Models in the Wild. CVPR Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Troubleshooting Blind Image Quality Models in the Wild. CoRR Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021	A*	`conf`	Undistillable: Making A Nasty Teacher That CANNOT teach students. ICLR Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021	J	`jnl`	Undistillable: Making A Nasty Teacher That CANNOT teach students. CoRR Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021	J	`jnl`	Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective. CoRR William T. Redman, Tianlong Chen, Akshunna S. Dogra, Zhangyang Wang
2021	Misc	`conf`	VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	A*	`conf`	You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. NeurIPS Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
2021	J	`jnl`	You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. CoRR Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
2020	A*	`conf`	Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CVPR Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020	J	`jnl`	Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CoRR Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020	A	`conf`	AutoSpeech: Neural Architecture Search for Speaker Recognition. INTERSPEECH Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang
2020	J	`jnl`	AutoSpeech: Neural Architecture Search for Speaker Recognition. CoRR Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang
2020	A	`conf`	Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. WACV Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2020	J	`jnl`	Can 3D Adversarial Logos Cloak Humans? CoRR Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang
2020	B	`conf`	Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing. LREC Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, Anxiao Jiang
2020	—	`conf`	Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CVPR Workshops Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang
2020	J	`jnl`	Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CoRR Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang
2020	A*	`conf`	Graph Contrastive Learning with Augmentations. NeurIPS Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	Graph Contrastive Learning with Augmentations. CoRR Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
2020	—	`conf`	HALO: Hardware-Aware Learning to Optimize. ECCV (9) Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. ICLR Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2020	J	`jnl`	I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. CoRR Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2020	A*	`conf`	L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CVPR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CoRR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	A*	`conf`	Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
2020	J	`jnl`	Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. CoRR Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
2020	J	`jnl`	PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning. CoRR Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang
2020	A*	`conf`	Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2020	J	`jnl`	Robust Pre-Training by Adversarial Contrastive Learning. CoRR Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2020	A*	`conf`	Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. ICML Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020	J	`jnl`	Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. CoRR Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020	A*	`conf`	The Lottery Ticket Hypothesis for Pre-trained BERT Networks. NeurIPS Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
2020	J	`jnl`	The Lottery Ticket Hypothesis for Pre-trained BERT Networks. CoRR Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
2020	J	`jnl`	The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models. CoRR Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
2020	A*	`conf`	Training Stronger Baselines for Learning to Optimize. NeurIPS Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
2020	J	`jnl`	Training Stronger Baselines for Learning to Optimize. CoRR Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
2020	A*	`conf`	Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. ICLR Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
2020	J	`jnl`	Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. CoRR Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
2020	A*	`conf`	When Does Self-Supervision Help Graph Convolutional Networks? ICML Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	When Does Self-Supervision Help Graph Convolutional Networks? CoRR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2019	A*	`conf`	ABD-Net: Attentive but Diverse Person Re-Identification. ICCV Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2019	J	`jnl`	ABD-Net: Attentive but Diverse Person Re-Identification. CoRR Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2019	J	`jnl`	Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. CoRR Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2019	—	`conf`	Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching. ICCV Workshops Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang
2019	A*	`conf`	Learning to Optimize in Swarms. NeurIPS Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
2019	J	`jnl`	Learning to Optimize in Swarms. CoRR Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen